1 00:00:05,040 --> 00:00:11,120 >>WELCOME EVERYBODY 2 00:00:11,120 --> 00:00:15,080 TO THE NEW MAY SESSION OF THE 3 00:00:15,080 --> 00:00:20,680 WOMEN LEADERS IN ACADEMIC 4 00:00:20,680 --> 00:00:21,200 RESEARCH, EMPOWERMENT OF 5 00:00:21,200 --> 00:00:21,800 UNDERREPRESENTED RESEARCHERS 6 00:00:21,800 --> 00:00:22,440 AND WE ARE SUPER EXCITED TO BE 7 00:00:22,440 --> 00:00:26,960 HERE TODAY TO WELCOME YAEL AND 8 00:00:26,960 --> 00:00:27,600 SUSAN, YOU WILL HEAR MORE ABOUT 9 00:00:27,600 --> 00:00:28,280 THEM SHORTLY AND I WANT TO TURN 10 00:00:28,280 --> 00:00:31,080 IT OVER-- I ALWAYS PROMISE THAT 11 00:00:31,080 --> 00:00:35,200 I WON'T TALK THAT MUCH -- JOHN, 12 00:00:35,200 --> 00:00:40,520 YOU CAN MUTE PLEASE. THANK YOU. 13 00:00:40,520 --> 00:00:42,400 I CAN RECOGNIZE THE VOICES, 14 00:00:42,400 --> 00:00:42,960 WHICH IS PART OF OUR TOPIC 15 00:00:42,960 --> 00:00:44,360 TODAY. 16 00:00:44,360 --> 00:00:48,800 SO WE ARE REALLY HAPPY THAT 17 00:00:48,800 --> 00:00:53,800 DR. BENSOUSSAN IS HERE AND I'M 18 00:00:53,800 --> 00:00:54,720 GOING TO TURN OVER IN THE 19 00:00:54,720 --> 00:00:58,440 SECOND TO JOCELYN, OUR 20 00:00:58,440 --> 00:00:59,080 CHAIRWOMAN FOR THE LECTURE 21 00:00:59,080 --> 00:01:07,320 SERIES. BUT BEFORE WE GET 22 00:01:07,320 --> 00:01:07,880 THERE I WANT TO SHARE SOME 23 00:01:07,880 --> 00:01:10,640 FUTURE SPEAKERS AND PANELISTS 24 00:01:10,640 --> 00:01:11,280 ANNOUNCED ON THE WEBSITE BUT WE 25 00:01:11,280 --> 00:01:12,800 ARE VERY EXCITED TO ANNOUNCE 26 00:01:12,800 --> 00:01:18,920 JANICE NEWSON, FROM EMORY WHO 27 00:01:18,920 --> 00:01:19,520 WILL TELL US VERY COOL THINGS 28 00:01:19,520 --> 00:01:25,000 ABOUT GLOBAL IR. JUDY WAWIRA 29 00:01:25,000 --> 00:01:25,560 GICHOYA SUPER SPEAKER WITH 30 00:01:25,560 --> 00:01:28,520 INCREDIBLE VOICE ON AI, 31 00:01:28,520 --> 00:01:32,240 INFORMATICS AND IR, AND SOME OF 32 00:01:32,240 --> 00:01:35,360 THE OTHER ETHICS RELATED TO AI, 33 00:01:35,360 --> 00:01:35,920 I REALLY LOOK FORWARD TO 34 00:01:35,920 --> 00:01:36,560 HEARING HER SPEECH AND SHE IS 35 00:01:36,560 --> 00:01:38,680 AN AMAZING SPEAKER, HAVING 36 00:01:38,680 --> 00:01:41,440 HEARD HER SPEAK RECENTLY. 37 00:01:41,440 --> 00:01:42,160 AND THEN WILL HAVE A PANEL OF 38 00:01:42,160 --> 00:01:48,360 SPEAKERS, RENEE CRUEA EXECUTIVE 39 00:01:48,360 --> 00:01:49,400 DIRECTOR OF THE ACADEMY OF 40 00:01:49,400 --> 00:01:51,040 RADIOLOGY RESEARCH AND 41 00:01:51,040 --> 00:01:51,640 BIOMEDICAL ENGINEERING RESEARCH 42 00:01:51,640 --> 00:01:55,880 AND SUZANNE LEBLANG, JEAN 43 00:01:55,880 --> 00:01:58,360 EBERLY STACK, EXECUTIVE 44 00:01:58,360 --> 00:02:01,600 DIRECTOR OF SIO AND LUNN 45 00:02:01,600 --> 00:02:06,600 JEANETTE SAVIC, A NUMBER OF 46 00:02:06,600 --> 00:02:07,200 THINGS INCLUDING PHYSICIAN 47 00:02:07,200 --> 00:02:14,920 SCIENTISTS AND STARTING TALK 48 00:02:14,920 --> 00:02:15,560 TUESDAYS, A COOL LECTURE SERIES 49 00:02:15,560 --> 00:02:16,200 FOR THOSE INTERESTED IN EARLY 50 00:02:16,200 --> 00:02:16,800 CAREER RESEARCH, CHECK IT OUT 51 00:02:16,800 --> 00:02:20,400 THIS SUMMER. TUESDAY EVENINGS. 52 00:02:20,400 --> 00:02:20,960 I PROMISE TO SHUT UP FOR A 53 00:02:20,960 --> 00:02:27,480 LITTLE BIT JOCELYN TAKE IT 54 00:02:27,480 --> 00:02:28,240 AWAY. 55 00:02:28,240 --> 00:02:34,720 >>JOCELYNE: HELLO THIS MOTHER 56 00:02:34,720 --> 00:02:35,240 CELEBRATE ASIAN-AMERICAN, 57 00:02:35,240 --> 00:02:39,960 NATIVE HAWAIIAN, AND PACIFIC 58 00:02:39,960 --> 00:02:40,560 ISLANDER HERITAGE AND IN 1977 59 00:02:40,560 --> 00:02:44,400 THE US CONGRESS COMMEMORATED 60 00:02:44,400 --> 00:02:45,040 THE HISTORY AND CONTRIBUTION OF 61 00:02:45,040 --> 00:02:45,640 ASIAN-AMERICAN COMMUNITY HERE 62 00:02:45,640 --> 00:02:49,480 IN THE US, THE SAME MONTH IN 63 00:02:49,480 --> 00:02:50,000 WHICH THE FIRST JAPANESE 64 00:02:50,000 --> 00:02:55,800 IMMIGRANTS CAME TO THE US IN 65 00:02:55,800 --> 00:02:56,360 1843 AND WE COMMEMORATE THE 66 00:02:56,360 --> 00:02:56,760 COMPLETION OF THE 67 00:02:56,760 --> 00:02:57,360 TRANSCONTINENTAL RAILROAD ON 68 00:02:57,360 --> 00:03:03,960 MAY 10TH, 1869. A MAJORITY OF 69 00:03:03,960 --> 00:03:04,560 THOSE WORKERS WHO PLAY THOSE 70 00:03:04,560 --> 00:03:05,160 RAILROAD TRACKS WERE CHINESE 71 00:03:05,160 --> 00:03:10,640 IMMIGRANTS THIS IS WHY THE 72 00:03:10,640 --> 00:03:11,280 AANHPI HERITAGE MONTH IS IN MAY 73 00:03:11,280 --> 00:03:15,560 AND A QUOTE WE WANTED TO SHARE, 74 00:03:15,560 --> 00:03:16,160 OUR ATTENTION TURNS TO BETTER 75 00:03:16,160 --> 00:03:16,800 UNDERSTANDING THE DIVERSITY OF 76 00:03:16,800 --> 00:03:20,560 THIS PORTFOLIO. WE CATEGORIZE 77 00:03:20,560 --> 00:03:28,360 AA AND NHPIS AS A SINGLE GROUP 78 00:03:28,360 --> 00:03:34,240 IT MASKS THE DIVERSITY OF 79 00:03:34,240 --> 00:03:34,880 LANGUAGE, CULTURES AND CUSTOMS 80 00:03:34,880 --> 00:03:35,400 OF THE MANY COUNTRIES AND 81 00:03:35,400 --> 00:03:36,000 REGIONS THAT ARE REPRESENTED 82 00:03:36,000 --> 00:03:36,560 ARE IN FACT THIS MONOLITHIC 83 00:03:36,560 --> 00:03:41,760 VIEW OF AA AND NHPI -- ... >> 84 00:03:41,760 --> 00:03:47,560 DR. WOOD: IT IS A BIT OF A 85 00:03:47,560 --> 00:03:48,320 CONUNDRUM BECAUSE THE MORE YOU 86 00:03:48,320 --> 00:03:48,920 LABEL CATEGORIES YOU WANT TO 87 00:03:48,920 --> 00:03:53,040 CELEBRATE AND POINT OUT, 88 00:03:53,040 --> 00:03:53,680 HERITAGE AND DIVERSITY THE MORE 89 00:03:53,680 --> 00:03:54,320 YOU LABEL AND IN GENERAL THINGS 90 00:03:54,320 --> 00:03:56,760 MAY GET DILUTED. NIH IS 91 00:03:56,760 --> 00:03:57,280 ADDRESSING THE LEADERSHIP 92 00:03:57,280 --> 00:04:02,120 DISPARITY GAP-- THIS IS FROM 93 00:04:02,120 --> 00:04:02,680 SENIOR NIH LEADERSHIP IN A 94 00:04:02,680 --> 00:04:03,560 DIRECT QUOTE FROM THE WEBSITE, 95 00:04:03,560 --> 00:04:10,560 "AA AND NHPI INDIVIDUAL 96 00:04:10,560 --> 00:04:16,320 REPRESENT ALMOST 20% OF THE NIH 97 00:04:16,320 --> 00:04:16,760 WORKFORCE HOWEVER THE 98 00:04:16,760 --> 00:04:17,240 REPRESENTATION SENIOR 99 00:04:17,240 --> 00:04:18,960 LEADERSHIP POSITION LAGS BEHIND 100 00:04:18,960 --> 00:04:20,200 THE PERCENTAGE OF THE OVERALL 101 00:04:20,200 --> 00:04:21,920 WORKFORCE. 102 00:04:21,920 --> 00:04:32,360 >>JOCELYNE: SO KAMALA HARRIS 103 00:04:36,920 --> 00:04:40,280 WAS SWORN IN AS THE FIRST 104 00:04:40,280 --> 00:04:40,720 MULTIRACIAL AMERICAN, 105 00:04:40,720 --> 00:04:41,120 INDIAN-AMERICAN, 106 00:04:41,120 --> 00:04:41,520 ASIAN-AMERICAN, 107 00:04:41,520 --> 00:04:42,120 AFRICAN-AMERICAN, AND FEMALE 108 00:04:42,120 --> 00:04:42,720 VICE PRESIDENT OF THE UNITED 109 00:04:42,720 --> 00:04:45,920 STATES. YOU MAY FIND WHEN YOU 110 00:04:45,920 --> 00:04:46,560 WALK INTO A ROOM THAT YOU ARE 111 00:04:46,560 --> 00:04:47,160 THE ONLY ONE WHO LOOKS LIKE YOU 112 00:04:47,160 --> 00:04:56,440 OR HAS YOUR LIVED EXPERIENCES. 113 00:04:56,440 --> 00:04:57,040 MY MESSAGES WALK IN WITH YOUR 114 00:04:57,040 --> 00:04:58,560 CHIN UP SHOULDERS BACK KNOWING 115 00:04:58,560 --> 00:04:59,160 THAT YOU ARE REPRESENTING THE 116 00:04:59,160 --> 00:04:59,760 VOICES OF SO MANY PEOPLE WHO 117 00:04:59,760 --> 00:05:00,360 ARE PROUD THAT YOU ARE IN THE 118 00:05:00,360 --> 00:05:00,960 ROOM. WE ARE ALL IN THAT ROOM 119 00:05:00,960 --> 00:05:01,600 WITH YOU. YOU ARE NOT WALKING 120 00:05:01,600 --> 00:05:04,320 IN THAT ROOM ALONE TO THE 121 00:05:04,320 --> 00:05:14,680 CHILDREN. OF OUR COUNTRY 122 00:05:14,680 --> 00:05:15,320 REGARDLESS OF THEIR GENDER OUR 123 00:05:15,320 --> 00:05:16,520 COUNTRY IS SENDING A CLEAR 124 00:05:16,520 --> 00:05:17,240 MESSAGE, DREAM WITH AMBITION 125 00:05:17,240 --> 00:05:17,840 AND LEAD WITH CONVICTION AND 126 00:05:17,840 --> 00:05:18,760 SEE YOURSELF IN A WAY THAT 127 00:05:18,760 --> 00:05:20,880 OTHERS HAVE EVER SEEN BEFORE. 128 00:05:20,880 --> 00:05:21,520 WE WILL APPLAUD YOU EVERY STEP 129 00:05:21,520 --> 00:05:25,320 OF THE WAY. BEAUTIFUL QUOTE. 130 00:05:25,320 --> 00:05:25,920 >>EINSTEIN UNDERSTANDS THAT WE 131 00:05:25,920 --> 00:05:33,640 NOT ONLY MUST LEARN TO TOLERATE 132 00:05:33,640 --> 00:05:34,240 OUR DIFFERENCES, AND WE MUST 133 00:05:34,240 --> 00:05:34,840 WELCOME THEM AS RICHNESS AND 134 00:05:34,840 --> 00:05:35,440 DIVERSITY WHICH LEADS TO TRUE 135 00:05:35,440 --> 00:05:35,920 INTELLIGENCE. 136 00:05:35,920 --> 00:05:46,400 >>DR. WOOD: AI DATA DIVERSITY 137 00:05:46,840 --> 00:05:48,320 IS STRENGTH. WE CANNOT CHANGE 138 00:05:48,320 --> 00:05:48,960 ANYTHING UNTIL WE ACCEPTED SAID 139 00:05:48,960 --> 00:05:53,480 CARL JUNG AND BETWEEN STIMULUS 140 00:05:53,480 --> 00:05:54,080 AND RESPONSE THERE IS A SPACE 141 00:05:54,080 --> 00:05:54,680 AND IN THE SPACES OUR POWER TO 142 00:05:54,680 --> 00:05:55,880 CHOOSE OUR RESPONSE. IN OUR 143 00:05:55,880 --> 00:05:57,120 RESPONSE LIES OUR GROWTH AND 144 00:05:57,120 --> 00:05:58,600 OUR FREEDOM. VICTOR FRANKEL. 145 00:05:58,600 --> 00:06:06,440 >>AI SCIENCE NEEDS DIVERSE 146 00:06:06,440 --> 00:06:07,080 DATA IN THE FACILITY REAL-LIFE 147 00:06:07,080 --> 00:06:12,520 EXAMPLE OF BIAS AI, IN WHICH A 148 00:06:12,520 --> 00:06:13,120 ROBOT VACUUM CLEANER IN SOUTH 149 00:06:13,120 --> 00:06:13,680 KOREA SUCKED THE HAIR OF A 150 00:06:13,680 --> 00:06:21,840 WOMAN SLEEPING ON THE FLOOR. 151 00:06:21,840 --> 00:06:22,440 THE NON-DIVERSE TEAM INVOLVED 152 00:06:22,440 --> 00:06:23,040 IN THE TRAINING DATA COLLECTION 153 00:06:23,040 --> 00:06:24,200 AND ANALYSIS TO BETTER CONSIDER 154 00:06:24,200 --> 00:06:24,840 THE SCENARIO OF PEOPLE SLEEPING 155 00:06:24,840 --> 00:06:25,440 ON THE FLOOR, ALTHOUGH IT IS 156 00:06:25,440 --> 00:06:26,040 VERY COMMON IN SOME CULTURES. 157 00:06:26,040 --> 00:06:26,960 LOOKS LIKE HER HAIR WAS EATEN 158 00:06:26,960 --> 00:06:32,880 AS SHE SLEPT. 159 00:06:32,880 --> 00:06:33,440 >>THERE IS A RECENT ARTICLE 160 00:06:33,440 --> 00:06:34,040 PUBLISHED BY THE WALL STREET 161 00:06:34,040 --> 00:06:39,320 JOURNAL JUST THIS MONTH, 162 00:06:39,320 --> 00:06:45,480 DISCUSSING BIAS IN AI. IT IS 163 00:06:45,480 --> 00:06:46,080 EASIER AND CHEAPER TO ADDRESS 164 00:06:46,080 --> 00:06:46,680 BIAS FROM THE BEGINNING THEN 165 00:06:46,680 --> 00:06:47,240 TRY TO REMOVE IT LATER, BUT 166 00:06:47,240 --> 00:06:47,840 MANY COMPANIES LIKE SYSTEMS, 167 00:06:47,840 --> 00:06:48,440 PROCESSES AND TOOLS FOR DOING 168 00:06:48,440 --> 00:06:50,840 THAT. 169 00:06:50,840 --> 00:06:51,400 THEY FOUND THAT AI SYSTEMS 170 00:06:51,400 --> 00:06:54,320 HAVE BEEN FOUND TO BE LESS 171 00:06:54,320 --> 00:06:54,880 ACCURATE AT IDENTIFYING THE 172 00:06:54,880 --> 00:06:57,120 FACES OF DARK SKINNED PEOPLE, 173 00:06:57,120 --> 00:06:59,800 PARTICULARLY WOMEN; TO GIVE 174 00:06:59,800 --> 00:07:00,440 WOMEN LOWER CREDIT CARD LIMITS 175 00:07:00,440 --> 00:07:01,280 THAN THEIR HUSBANDS AND TO BE 176 00:07:01,280 --> 00:07:01,880 MORE LIKELY TO INCORRECTLY 177 00:07:01,880 --> 00:07:02,440 PROTECT THE BLACK DEFENDANT 178 00:07:02,440 --> 00:07:03,240 WILL COMMIT FUTURE CRIMES THAN 179 00:07:03,240 --> 00:07:08,280 WHITES. 180 00:07:08,280 --> 00:07:08,880 WE NEED BETTER GUARDRAILS AND 181 00:07:08,880 --> 00:07:11,760 STANDARDIZE FRAMEWORKS. 182 00:07:11,760 --> 00:07:20,000 >>SO NIH ALL OF US RESEARCH 183 00:07:20,000 --> 00:07:20,600 PROGRAMS SIX DIVERSE DATA. 184 00:07:20,600 --> 00:07:21,400 THERE ARE MANY OTHER RESEARCH 185 00:07:21,400 --> 00:07:22,000 GROUPS THAT HAVE SHOWN THE 186 00:07:22,000 --> 00:07:22,880 POWER OF VERY LARGE COHORTS FOR 187 00:07:22,880 --> 00:07:33,120 BIOMEDICAL DISCOVERY. >> DR. 188 00:07:33,120 --> 00:07:33,760 WOOD: RECENTLY IN NATURE THERE 189 00:07:33,760 --> 00:07:37,600 WAS A PAPER ON AI DIVERSITY AND 190 00:07:37,600 --> 00:07:39,720 THE CRISIS THAT WE ARE IN. WE 191 00:07:39,720 --> 00:07:44,160 ARE FACING A DIVERSITY CRISIS. 192 00:07:44,160 --> 00:07:44,800 IF IT IS NOT ADDRESSED PROMPTLY 193 00:07:44,800 --> 00:07:49,040 FLAWS IN THE WORKING CULTURE OF 194 00:07:49,040 --> 00:07:49,640 AI WILL PERPETUATE THE BIASES 195 00:07:49,640 --> 00:07:55,400 THAT OOZE INTO THE RESULTING 196 00:07:55,400 --> 00:07:56,000 TECHNOLOGIES WHICH WILL EXCLUDE 197 00:07:56,000 --> 00:07:57,320 AND HARM ENTIRE GROUPS OF 198 00:07:57,320 --> 00:07:57,920 PEOPLE AND ON TOP OF THAT THE 199 00:07:57,920 --> 00:07:58,560 RESULTING INTELLIGENCE WILL BE 200 00:07:58,560 --> 00:07:59,120 FLAWED, LACKING VERY SOCIAL 201 00:07:59,120 --> 00:07:59,640 EMOTIONAL AND CULTURAL 202 00:07:59,640 --> 00:08:00,840 KNOWLEDGE. 203 00:08:00,840 --> 00:08:07,600 BENEATH THIS VENEER OF, OH, AI 204 00:08:07,600 --> 00:08:08,200 IS THE FUTURE AND WE HAVE ALL 205 00:08:08,200 --> 00:08:10,000 THE SPARKLY, NICE THINGS, BOTH 206 00:08:10,000 --> 00:08:10,640 AI ACADEMIA AND AI INDUSTRY ARE 207 00:08:10,640 --> 00:08:19,120 FUNDAMENTALLY CONSERVATIVE. AI 208 00:08:19,120 --> 00:08:19,760 IN BOTH SECTORS IS DOMINATED BY 209 00:08:19,760 --> 00:08:21,160 MOSTLY MIDDLE-AGED WHITE MEN 210 00:08:21,160 --> 00:08:23,320 FROM AFFLUENT BACKGROUNDS, 211 00:08:23,320 --> 00:08:23,960 ATTACHED TO THE STATUS QUO AND 212 00:08:23,960 --> 00:08:26,440 80% OF AI PROFESSORS WERE MEN 213 00:08:26,440 --> 00:08:27,080 BLACK INDIVIDUALS MADE UP JUST 214 00:08:27,080 --> 00:08:30,680 TWO POINT 5% OF GOOGLE 215 00:08:30,680 --> 00:08:31,200 EMPLOYEES AND 4% OF THOSE 216 00:08:31,200 --> 00:08:31,720 WORKING AT FACEBOOK AND 217 00:08:31,720 --> 00:08:33,400 MICROSOFT SEVERAL YEARS BACK. 218 00:08:33,400 --> 00:08:40,080 AI IS BIG, OR BAD, OR GOOD, OR 219 00:08:40,080 --> 00:08:45,760 ALL THE ABOVE. STEPHEN HAWKING 220 00:08:45,760 --> 00:08:49,320 SAID SUCCESS IN CREATING 221 00:08:49,320 --> 00:08:50,080 EFFECTIVE AI COULD BE THE 222 00:08:50,080 --> 00:08:50,720 BIGGEST EVENT IN THE HISTORY OF 223 00:08:50,720 --> 00:08:51,760 OUR CIVILIZATION, YOU ARE THE 224 00:08:51,760 --> 00:08:53,760 WORST ARE THE WE JUST DON'T 225 00:08:53,760 --> 00:08:54,360 KNOW, SO WE CANNOT KNOW IF WE 226 00:08:54,360 --> 00:08:57,160 WILL BE INFINITELY HELP BY AI, 227 00:08:57,160 --> 00:08:59,200 OR IGNORED BY IT AND SIDELINED, 228 00:08:59,200 --> 00:09:09,760 OR CONCEIVABLY DESTROYED BY IT. 229 00:09:11,600 --> 00:09:13,920 TODAY WE WANT TO WELCOME DR. 230 00:09:13,920 --> 00:09:19,400 YAEL BENSOUSSAN, WHO WILL 231 00:09:19,400 --> 00:09:27,360 PRESENT LEADING LARGE NIH 232 00:09:27,360 --> 00:09:28,640 FUNDED CONSORTIUMS, LOTS OF 233 00:09:28,640 --> 00:09:30,840 LESSONS LEARNED. WELCOME DR. 234 00:09:30,840 --> 00:09:32,840 BENSOUSSAN. 235 00:09:32,840 --> 00:09:37,880 >>DR. BENSOUSSAN: HI EVERYONE 236 00:09:37,880 --> 00:09:38,480 I THINK WE NEED PERMISSION TO 237 00:09:38,480 --> 00:09:39,400 SHARE MY SCREEN OR IN MY EARLY. 238 00:09:39,400 --> 00:09:41,000 >>DR. WOOD: WE WILL DO A 239 00:09:41,000 --> 00:09:45,360 LITTLE INTRO. 240 00:09:45,360 --> 00:09:45,880 >>SO IS A VERY IMPRESSIVE 241 00:09:45,880 --> 00:09:56,120 MOMENT DR. YAEL BENSOUSSAN IS 242 00:09:56,120 --> 00:09:56,640 CHIEF OF THE LARYNGOLOGY 243 00:09:56,640 --> 00:09:57,120 DIVISION AND ASSISTANT 244 00:09:57,120 --> 00:09:57,760 PROFESSOR IN THE DEPARTMENT OF 245 00:09:57,760 --> 00:09:58,400 ORAL ARCHAEOLOGY HEAD AND NECK 246 00:09:58,400 --> 00:10:03,960 SURGERY AT THE USF HEALTH 247 00:10:03,960 --> 00:10:04,560 MORSANI COLLEGE OF MEDICINE SHE 248 00:10:04,560 --> 00:10:05,160 DIRECTS THE USF HEALTH VOICE 249 00:10:05,160 --> 00:10:10,560 CENTER, THE FIRST OF ITS KIND, 250 00:10:10,560 --> 00:10:11,160 AND SHE IS HIGHLY TRAINED AND 251 00:10:11,160 --> 00:10:13,120 SKILLED INVOICE, SWALLOWING AN 252 00:10:13,120 --> 00:10:17,280 UPPER AIRWAY TREATMENT AND SHE 253 00:10:17,280 --> 00:10:17,880 IS ALSO AN AVID PROPONENT OF 254 00:10:17,880 --> 00:10:18,520 MULTIDISCIPLINARY CARE AND HAS 255 00:10:18,520 --> 00:10:19,160 LED MULTIPLE PATIENT EDUCATION 256 00:10:19,160 --> 00:10:19,800 INITIATIVES AROUND TRACHEOTOMY 257 00:10:19,800 --> 00:10:26,600 CARE. 258 00:10:26,600 --> 00:10:27,200 SHE COMPLETED MEDICAL SCHOOL 259 00:10:27,200 --> 00:10:27,880 AT THE UNIVERSITY OF MONTRÉAL, 260 00:10:27,880 --> 00:10:28,400 SURGICAL RESIDENCY AT THE 261 00:10:28,400 --> 00:10:28,960 UNIVERSITY OF TORONTO, AND 262 00:10:28,960 --> 00:10:29,600 FELLOWSHIP LARYNGOLOGY, VOICE, 263 00:10:29,600 --> 00:10:30,240 AIRWAY AND SWALLOWING DISORDERS 264 00:10:30,240 --> 00:10:30,840 OF THE UNIVERSITY OF SOUTHERN 265 00:10:30,840 --> 00:10:40,400 CALIFORNIA. DR. YAEL BENSOUSSAN 266 00:10:40,400 --> 00:10:40,960 BACKGROUND ALSO INCLUDES 267 00:10:40,960 --> 00:10:45,480 DECREASING SPEECH PATHOLOGY. 268 00:10:45,480 --> 00:10:46,040 SHE OBTAINED ALSO AND MS 269 00:10:46,040 --> 00:10:46,560 CONSISTENT LEADERSHIP AND 270 00:10:46,560 --> 00:10:48,240 INNOVATION SYNTHESIS OF HEALTH 271 00:10:48,240 --> 00:10:48,720 POLICY, EVALUATION AND 272 00:10:48,720 --> 00:10:51,880 MANAGEMENT AT THE UNIVERSITY OF 273 00:10:51,880 --> 00:10:52,480 TORONTO WHERE SHE APPLIED AI 274 00:10:52,480 --> 00:10:54,880 TOOLS TO LARYNGOLOGY. HER TEAMS 275 00:10:54,880 --> 00:10:59,960 ARE INTEGRATING AI WITH INVOICE 276 00:10:59,960 --> 00:11:00,520 RESEARCH, IN THE CONTEXT OF 277 00:11:00,520 --> 00:11:01,160 HEALTHCARE DIGITIZATION AND AN 278 00:11:01,160 --> 00:11:04,480 DATA-DRIVEN CARE. PASSIONATE 279 00:11:04,480 --> 00:11:05,080 ABOUT OPTIMIZATION OF HEALTH 280 00:11:05,080 --> 00:11:05,560 SYSTEMS EFFICIENCY AND 281 00:11:05,560 --> 00:11:08,960 ALGORITHMS OF CARE SHE IS 282 00:11:08,960 --> 00:11:09,560 BUILDING BRIDGES WITH MULTIPLE 283 00:11:09,560 --> 00:11:10,040 PARTNERS TO INTEGRATE 284 00:11:10,040 --> 00:11:10,680 TECHNOLOGY TO OPTIMIZE QUALITY 285 00:11:10,680 --> 00:11:11,080 OF CARE. 286 00:11:11,080 --> 00:11:21,520 DR. BENSOUSSAN HAS SERVED ON 287 00:11:35,920 --> 00:11:36,400 THE VOICES COMMITTEE OF THE 288 00:11:36,400 --> 00:11:36,920 AMERICAN LARYNGOCOLOGICAL 289 00:11:36,920 --> 00:11:43,520 ASSOCIATION AND WAS AWARDED, -- 290 00:11:43,520 --> 00:11:44,120 -- SHE'D RECEIVED A GRANT FOR 291 00:11:44,120 --> 00:11:47,480 THE BUILDING OF THE BRIDGE 2AI 292 00:11:47,480 --> 00:11:51,520 PROGRAM. 293 00:11:51,520 --> 00:11:56,600 >>SO TODAY DR. BENSOUSSAN WILL 294 00:11:56,600 --> 00:12:04,800 TALK ABOUT THE BRIDGE 2AI 295 00:12:04,800 --> 00:12:12,360 PROGRAM, , PROGRAM FUNDED ITS 296 00:12:12,360 --> 00:12:12,960 FIRST CONSORTIUMS FOR DATA 297 00:12:12,960 --> 00:12:13,560 GENERATION PROJECTS IN 2022 298 00:12:13,560 --> 00:12:15,560 WITH THE GOAL OF BUILDING 299 00:12:15,560 --> 00:12:16,040 LARGE-SCALE MULTIMODAL 300 00:12:16,040 --> 00:12:17,800 DATABASES THAT ARE ETHICALLY 301 00:12:17,800 --> 00:12:23,880 SOURCED AND AI READY TO FILE A 302 00:12:23,880 --> 00:12:24,320 RESEARCH. GATHERING 303 00:12:24,320 --> 00:12:24,960 MULTIDISCIPLINARY TEAM SCIENCE 304 00:12:24,960 --> 00:12:25,480 IS NOT AN EASY TASK MANY 305 00:12:25,480 --> 00:12:26,080 CHALLENGES IN TERMS OF SOCIAL 306 00:12:26,080 --> 00:12:26,600 ENGINEERING NEED TO BE 307 00:12:26,600 --> 00:12:27,160 ADDRESSED AND NAVIGATED TO 308 00:12:27,160 --> 00:12:32,120 OBTAIN TANGIBLE RESULTS. DR. 309 00:12:32,120 --> 00:12:33,480 BENSOUSSAN WILL SHARE HER 310 00:12:33,480 --> 00:12:34,280 EXPERIENCE IN COLLATING THE 311 00:12:34,280 --> 00:12:43,400 BRIDGE 2AI VOICE CONSOTRIUM IN 312 00:12:43,400 --> 00:12:44,000 HIS FIRST YEAR OF FUNDING AND 313 00:12:44,000 --> 00:12:44,640 REVIEW DO'S AND DON'TS OF TEAM 314 00:12:44,640 --> 00:12:45,800 SCIENCE. 315 00:12:45,800 --> 00:12:46,440 I'M EXCITED THANK YOU FOR THAT AND 316 00:12:46,440 --> 00:12:47,400 I WANT TO GET TO MY IMPORTANT 317 00:12:47,400 --> 00:12:56,280 LESSON SO I WILL GO RIGHT AHEAD 318 00:12:56,280 --> 00:12:58,320 AND GET INTO THE SUBJECT. NICE 319 00:12:58,320 --> 00:13:02,840 TO MEET YOU EVERYONE. AS THEY 320 00:13:02,840 --> 00:13:03,440 MENTION I AM THE COPRINCIPAL 321 00:13:03,440 --> 00:13:04,000 INVESTIGATOR OF THIS LARGE 322 00:13:04,000 --> 00:13:08,120 PROJECT CALLED BRIDGE 2AI AS A 323 00:13:08,120 --> 00:13:10,200 BIOMARKER OF HEALTH. 324 00:13:10,200 --> 00:13:12,240 DIVING RIGHT INTO IT OUR 325 00:13:12,240 --> 00:13:13,960 LEADERSHIP SKILLS, ARE THE 326 00:13:13,960 --> 00:13:16,280 INBORN OR ACQUIRED? THAT IS A 327 00:13:16,280 --> 00:13:18,520 GOOD QUESTION. YOU HAVE A NICE 328 00:13:18,520 --> 00:13:21,040 COUPLE HERE WHO THEY JUST GOT A 329 00:13:21,040 --> 00:13:21,680 BABY, CONGRATULATIONS YOU JUST 330 00:13:21,680 --> 00:13:27,280 GOT A LEADER! OUR LEADERSHIP 331 00:13:27,280 --> 00:13:27,920 SKILLS ARE YOU BORN WITH THEM 332 00:13:27,920 --> 00:13:28,440 OR DO YOU GET THEM FROM 333 00:13:28,440 --> 00:13:35,160 EXPERIENCED? 334 00:13:35,160 --> 00:13:35,680 THIS IS A QUOTE FROM COLIN 335 00:13:35,680 --> 00:13:36,320 POWELL, THE PREVIOUS SECRETARY 336 00:13:36,320 --> 00:13:40,840 OF STATE. HE ACTUALLY DISAGREES 337 00:13:40,840 --> 00:13:44,680 LEADERSHIP SKILLS ARE ACQUIRED. 338 00:13:44,680 --> 00:13:45,320 EFFECTIVE LEADERS ARE MADE NOT 339 00:13:45,320 --> 00:13:45,960 BORN AND THEY LEARN FROM TRIAL 340 00:13:45,960 --> 00:13:51,720 AND ERROR FROM EXPERIENCE. 341 00:13:51,720 --> 00:13:52,320 I KIND OF AGREE WITH THEM BUT 342 00:13:52,320 --> 00:13:52,880 I DO THINK THERE ARE SOME 343 00:13:52,880 --> 00:13:53,680 GENETIC PREDISPOSITIONS. LET'S 344 00:13:53,680 --> 00:14:00,560 SEE THIS QUOTE FROM SOMEONE 345 00:14:00,560 --> 00:14:05,560 NAMED ISAAC BENSOUSSAN, MY DAD. 346 00:14:05,560 --> 00:14:06,160 IF YOU'RE GOOD AT WHAT YOU DO 347 00:14:06,160 --> 00:14:11,000 AND PASSIONATE ABOUT WHAT YOU 348 00:14:11,000 --> 00:14:11,600 DO, OTHERS WILL WANT TO BUILD 349 00:14:11,600 --> 00:14:12,200 IT WITH YOU AND HE SAID IN 350 00:14:12,200 --> 00:14:12,760 FRENCH BECAUSE HE IS FROM 351 00:14:12,760 --> 00:14:17,800 SPEAKING BUT I WILL GO FOR THE 352 00:14:17,800 --> 00:14:18,440 TRANSLATION. MY DAD IS AND WAS 353 00:14:18,440 --> 00:14:18,960 A WONDERFUL LEADER AND 354 00:14:18,960 --> 00:14:19,600 IMMIGRANT FROM MOROCCO WHO WENT 355 00:14:19,600 --> 00:14:20,200 TO FRANCE AND CANADA, HE WAS 356 00:14:20,200 --> 00:14:20,760 NOT A RESEARCHER NEVER LED 357 00:14:20,760 --> 00:14:27,240 MULTI-TRADITIONAL NIH GRANT FOR 358 00:14:27,240 --> 00:14:27,880 WHATEVER HE DID HE WAS A LEADER 359 00:14:27,880 --> 00:14:38,320 IN WHAT HE DID. HE GOT TO 360 00:14:39,640 --> 00:14:40,160 CANADA AND RIGHT AWAY HE GOT 361 00:14:40,160 --> 00:14:40,760 TOGETHER ALL THE SEPHARDIC 362 00:14:40,760 --> 00:14:41,360 JEWISH COMMUNITY AND BECAME THE 363 00:14:41,360 --> 00:14:41,960 PRESIDENT OF THE SEPHARDIC 364 00:14:41,960 --> 00:14:43,440 JEWISH COMMUNITY. IN HIGH 365 00:14:43,440 --> 00:14:44,080 SCHOOL HE BECAME THE PRESIDENT 366 00:14:44,080 --> 00:14:44,680 OF THE UNION OF HIGH SCHOOL 367 00:14:44,680 --> 00:14:48,680 TEACHERS. 368 00:14:48,680 --> 00:14:49,280 WHAT WAS IMPORTANT THAT HE DID 369 00:14:49,280 --> 00:14:52,440 IS THAT HE HAD A DESIRE TO MAKE 370 00:14:52,440 --> 00:14:58,640 A CHANGE AND I DO THINK THAT I 371 00:14:58,640 --> 00:14:59,160 INHERITED THOSE SKILLS OF 372 00:14:59,160 --> 00:14:59,680 WANTING TO MAKE SOMETHING 373 00:14:59,680 --> 00:15:00,800 DIFFERENT, TO OPTIMIZING TO 374 00:15:00,800 --> 00:15:01,440 MAKE A CHANGE IN PEOPLE AROUND 375 00:15:01,440 --> 00:15:05,920 YOU. 376 00:15:05,920 --> 00:15:06,520 WHAT DO I COME FROM? YOU MADE 377 00:15:06,520 --> 00:15:07,160 A NICE LIST OF THE THINGS THAT 378 00:15:07,160 --> 00:15:09,720 IN THE PAST. BORN AND RAISED IN 379 00:15:09,720 --> 00:15:12,200 MONTRÉAL AND I WAS A SINGER FOR 380 00:15:12,200 --> 00:15:12,960 SHORT AND EXCITING CAREER. THAT 381 00:15:12,960 --> 00:15:13,560 I DID MED SCHOOL AND DID MY 382 00:15:13,560 --> 00:15:14,320 RESIDENCY IN ENT AND FELLOWSHIP 383 00:15:14,320 --> 00:15:19,600 IN ENT WHICH IS THE LARYNX, THE 384 00:15:19,600 --> 00:15:20,240 THROAT AND THEN I DID A MASTERS 385 00:15:20,240 --> 00:15:22,640 IN SYSTEM LEADERSHIP AND 386 00:15:22,640 --> 00:15:23,280 INNOVATION, AND HAVE THREE KIDS 387 00:15:23,280 --> 00:15:24,480 AND ONLY ONE HUSBAND THAT YOU 388 00:15:24,480 --> 00:15:25,960 CAN SEE HERE ON THE RIGHT, WHO 389 00:15:25,960 --> 00:15:34,040 I REALLY LOVE. 390 00:15:34,040 --> 00:15:37,440 UNIVERSITY OF 391 00:15:37,440 --> 00:15:42,720 TORONTO BY PEOPLE FROM MEDICAL 392 00:15:42,720 --> 00:15:43,280 BACKGROUNDS-- WE HAD TO BE 393 00:15:43,280 --> 00:15:44,320 TRAINEES FOR MEDICAL BACK IN 394 00:15:44,320 --> 00:15:44,920 AND WE WERE TAUGHT BY DIFFERENT 395 00:15:44,920 --> 00:15:47,760 HEALTHCARE LEADERS, AND FROM 396 00:15:47,760 --> 00:15:48,320 POLITICIANS AND ALSO FROM 397 00:15:48,320 --> 00:15:49,080 BUSINESS AND INDUSTRY LEADERS 398 00:15:49,080 --> 00:15:49,720 ON HOW TO INTEGRATE INNOVATION 399 00:15:49,720 --> 00:15:52,160 WITHIN HEALTHCARE SYSTEMS. 400 00:15:52,160 --> 00:15:52,760 THAT WAS REALLY A WONDERFUL 401 00:15:52,760 --> 00:15:55,720 EXPERIENCE. 402 00:15:55,720 --> 00:15:56,320 BECAUSE WHEN I WAS YOUNGER AND 403 00:15:56,320 --> 00:16:00,000 WHEN I WAS IN MED SCHOOL, I DO 404 00:16:00,000 --> 00:16:00,560 NOT WANT TO BE A RESEARCHER 405 00:16:00,560 --> 00:16:01,120 BECAUSE I THOUGHT THAT ALL 406 00:16:01,120 --> 00:16:01,720 RESEARCHERS WERE LIKE THIS ON 407 00:16:01,720 --> 00:16:06,440 THE LEFT. I THOUGHT THAT 408 00:16:06,440 --> 00:16:07,000 RESEARCHERS WERE PEOPLE WHO 409 00:16:07,000 --> 00:16:09,400 WERE STUDYING MOLECULES, AND I 410 00:16:09,400 --> 00:16:10,040 WAS A BIG EXTROVERT AND PEOPLE 411 00:16:10,040 --> 00:16:12,640 WHO KNOW ME DEFINITELY KNOW I'M 412 00:16:12,640 --> 00:16:13,200 NOT AN INTROVERT AND I WAS 413 00:16:13,200 --> 00:16:19,920 BORED UNDER THE MICROSCOPE. I 414 00:16:19,920 --> 00:16:20,480 CANNOT SEE MUCH OF BEING A 415 00:16:20,480 --> 00:16:21,160 RESEARCHER, AND IDENTIFIED LIKE 416 00:16:21,160 --> 00:16:23,760 THIS BIG INTROVERT PERSON, 417 00:16:23,760 --> 00:16:24,360 SURROUNDING MYSELF WITH PEOPLE 418 00:16:24,360 --> 00:16:29,000 AND I UNDERSTOOD WITH HIS 419 00:16:29,000 --> 00:16:29,640 MASTERS THAT THERE IS MORE THAN 420 00:16:29,640 --> 00:16:30,240 ONE WAY TO MAKE AN IMPACT OF 421 00:16:30,240 --> 00:16:30,880 CHANGING SCIENCE AND HEALTHCARE 422 00:16:30,880 --> 00:16:34,480 DEPENDING ON YOUR PERSONALITY. 423 00:16:34,480 --> 00:16:35,120 SO SOME OF THE PEOPLE WHO MADE 424 00:16:35,120 --> 00:16:40,480 BIG CHANGES ARE RESEARCHERS WHO 425 00:16:40,480 --> 00:16:41,080 STUDY BASIC SCIENCE AND MAKE 426 00:16:41,080 --> 00:16:42,160 GREAT ADVANCEMENTS OR GREAT 427 00:16:42,160 --> 00:16:47,160 INNOVATION. SUMMER CLINICIANS 428 00:16:47,160 --> 00:16:47,800 OR SURGEONS THAT CAN IMPACT IF 429 00:16:47,800 --> 00:16:48,400 YOU LIKE THE TIME BUT REALLY 430 00:16:48,400 --> 00:16:50,640 HUGE IMPACT ON PEOPLE'S LIVES. 431 00:16:50,640 --> 00:16:51,160 WE KNOW THAT PUBLIC HEALTH 432 00:16:51,160 --> 00:16:51,760 PEOPLE CAN MAKE A HUGE IMPACT 433 00:16:51,760 --> 00:16:54,080 ON HEALTH SYSTEMS. WE LEARNED 434 00:16:54,080 --> 00:17:00,760 THAT DURING COVID. THEY CAN 435 00:17:00,760 --> 00:17:01,360 FUND THE PROJECT AND MAKE A 436 00:17:01,360 --> 00:17:07,080 HUGE IMPACT. REGULATORS, 437 00:17:07,080 --> 00:17:07,680 ADVOCACY GROUPS, AND WHERE I 438 00:17:07,680 --> 00:17:08,520 FIND MYSELF IS REALLY THE 439 00:17:08,520 --> 00:17:09,120 LEADERSHIP IN THE HEALTHCARE 440 00:17:09,120 --> 00:17:12,640 SYSTEM INNOVATION. 441 00:17:12,640 --> 00:17:15,640 ONE OF MY MENTORS THAT I 442 00:17:15,640 --> 00:17:16,160 REMEMBER, AND THAT REALLY 443 00:17:16,160 --> 00:17:18,080 PUSHED ME TO GO INTO MY FIELD 444 00:17:18,080 --> 00:17:20,480 AND TO DO THIS MASTERS IS A 445 00:17:20,480 --> 00:17:26,680 SURGEON CALLED DR. JONATHAN 446 00:17:26,680 --> 00:17:27,280 IRISH, IN TORONTO AND HE WAS 447 00:17:27,280 --> 00:17:30,320 IN CHARGE OF A PROGRAM CALLED 448 00:17:30,320 --> 00:17:33,240 CANCER CARE ONTARIO. IN CANADA 449 00:17:33,240 --> 00:17:33,840 AS YOU KNOW THE HEALTHCARE IS 450 00:17:33,840 --> 00:17:38,120 PUBLIC AND CENTRALIZED. LINDA 451 00:17:38,120 --> 00:17:38,720 LOOKED AT REALLY CENTRALIZING 452 00:17:38,720 --> 00:17:39,320 HOW CANCER CARE WAS GIVEN AND 453 00:17:39,320 --> 00:17:39,920 TO DO THAT THEY SAID WE NEED 454 00:17:39,920 --> 00:17:42,760 DATA. SO HE PUT TOGETHER A 455 00:17:42,760 --> 00:17:43,320 WHOLE INFRASTRUCTURE TO GET 456 00:17:43,320 --> 00:17:47,040 DATA FROM PEOPLE HAVING CANCER 457 00:17:47,040 --> 00:17:47,640 DIAGNOSIS AND LOOKING HOW LONG 458 00:17:47,640 --> 00:17:48,280 IT WOULD TAKE FOR THEM TO BE 459 00:17:48,280 --> 00:17:53,480 TREATED. 460 00:17:53,480 --> 00:17:54,080 AND BASED ON THAT THEY SENT 461 00:17:54,080 --> 00:17:54,560 PEOPLE WITH CANCER TO 462 00:17:54,560 --> 00:17:55,200 HIGH-VOLUME CENTERS WHERE THERE 463 00:17:55,200 --> 00:17:56,320 WAS EXPERT CARE. AND WHEN 464 00:17:56,320 --> 00:18:00,880 DOING THAT THE REALIZED THAT 465 00:18:00,880 --> 00:18:01,480 THEY COULD INCREASES SURVIVAL 466 00:18:01,480 --> 00:18:08,320 RATE BY MORE THAN 10%, AND HE 467 00:18:08,320 --> 00:18:08,920 TOLD ME YEAH BY SWITCHING TO 468 00:18:08,920 --> 00:18:09,480 HIGH-VOLUME CENTER CARE WE 469 00:18:09,480 --> 00:18:10,040 SHOULD INCREASE SURVIVAL BY 470 00:18:10,040 --> 00:18:12,920 MORE THAN 10%. CAN YOU IMAGINE 471 00:18:12,920 --> 00:18:14,200 HOW RICH I WOULD BE IF I SOLD A 472 00:18:14,200 --> 00:18:18,640 DRUG THAT COULD INCREASE 473 00:18:18,640 --> 00:18:19,240 SURVIVAL BUT 10%? IT WOULD BE 474 00:18:19,240 --> 00:18:19,840 INSANE. AND IS WHAT FOR HIM 475 00:18:19,840 --> 00:18:24,280 HEALTHCARE LEADERSHIP WAS. AND 476 00:18:24,280 --> 00:18:24,880 AS OF THIS POSITION I COULD 477 00:18:24,880 --> 00:18:26,120 IMPACT THE PHILOSOPHER DAVID IS 478 00:18:26,120 --> 00:18:27,440 A GOOD HEALTHCARE LEADER I 479 00:18:27,440 --> 00:18:27,960 COULD POTENTIALLY AFFECT 480 00:18:27,960 --> 00:18:29,760 MILLIONS OF PEOPLE AT A TIME. 481 00:18:29,760 --> 00:18:30,320 TODAY WE'RE GOING TO TALK 482 00:18:30,320 --> 00:18:40,800 ABOUT THE BRIDGE 2AI PROGRAM, 483 00:18:41,720 --> 00:18:42,280 THE CONSORTIUM AND THE TEAM AND 484 00:18:42,280 --> 00:18:42,920 THE PROGRESS IN THE 10 LESSONS 485 00:18:42,920 --> 00:18:44,800 I HAVE LEARNED THE HARD WAY IN 486 00:18:44,800 --> 00:18:45,360 THE FIRST YEAR OF COLLATING 487 00:18:45,360 --> 00:18:46,000 THIS PROGRAM AND A LITTLE BIT 488 00:18:46,000 --> 00:18:49,240 ABOUT THE PROGRAM. WE TALKED 489 00:18:49,240 --> 00:18:49,840 ABOUT COLIN POWELL WHO SAID 490 00:18:49,840 --> 00:18:50,440 THAT LEADERS LEARN FROM TRIAL 491 00:18:50,440 --> 00:18:56,040 AND ERROR AND EXPERIENCE. THIS 492 00:18:56,040 --> 00:18:56,680 DEFINITELY HAS BEEN THE BIGGEST 493 00:18:56,680 --> 00:18:57,280 EXPERIENCE AND CHALLENGE TO MY 494 00:18:57,280 --> 00:18:57,880 LEADERSHIP SKILLS THROUGHOUT 495 00:18:57,880 --> 00:18:58,280 THIS YEAR. 496 00:18:58,280 --> 00:19:00,360 THE MISSION OF THE BRIDGE 2AI 497 00:19:00,360 --> 00:19:04,800 VOICE CONSOTRIUM WAS A PROGRAM 498 00:19:04,800 --> 00:19:06,080 ANNOUNCE ABOUT TWO AND HALF 499 00:19:06,080 --> 00:19:08,520 YEARS AGO AND THE GOAL IS 500 00:19:08,520 --> 00:19:09,080 REALLY TO BUILD LARGE-SCALE 501 00:19:09,080 --> 00:19:10,160 DATA SETS THAT ARE AI READY. 502 00:19:10,160 --> 00:19:15,080 THE NIH REALIZED THAT THERE WAS 503 00:19:15,080 --> 00:19:17,440 A LOT OF DATA CAPTURED WITHIN 504 00:19:17,440 --> 00:19:18,040 NIH PROGRAMS BUT THAT WAS NOT 505 00:19:18,040 --> 00:19:21,960 USABLE BECAUSE IT WAS NOT AI 506 00:19:21,960 --> 00:19:22,560 READY OR BECAUSE ETHICALLY WE 507 00:19:22,560 --> 00:19:23,080 CANNOT REUSE THE DATA FOR 508 00:19:23,080 --> 00:19:26,280 MACHINE LEARNING MODELS. SO THE 509 00:19:26,280 --> 00:19:26,840 GOAL REALLY IS TO BUILD NEW 510 00:19:26,840 --> 00:19:27,400 FLAGSHIP MILD MEDICAL AND 511 00:19:27,400 --> 00:19:31,160 BEHAVIORAL DATA SETS. ALSO 512 00:19:31,160 --> 00:19:31,800 GIVE BEST PRACTICES IN TERMS OF 513 00:19:31,800 --> 00:19:35,600 ETHICAL AND FAIR PRINCIPLES, 514 00:19:35,600 --> 00:19:36,160 AND BILL RESOURCES THROUGH 515 00:19:36,160 --> 00:19:36,920 SCIENTIFIC COLLABORATION. THIS 516 00:19:36,920 --> 00:19:43,320 IS THE MISSION. 517 00:19:43,320 --> 00:19:43,760 WHEN THEY PUT IN THE 518 00:19:43,760 --> 00:19:44,440 OPPORTUNITY OUT AND WE WERE 519 00:19:44,440 --> 00:19:48,000 TOLD YOU CAN APPLY, WE WERE 520 00:19:48,000 --> 00:19:48,520 TOLD TO APPLY WITHIN SIX 521 00:19:48,520 --> 00:19:49,080 DIFFERENT TEAMS TO MAKE IT 522 00:19:49,080 --> 00:19:57,600 SIMPLE. SO THERE IS A TEAM IN 523 00:19:57,600 --> 00:19:58,080 SCIENCE BRING EVERYBODY 524 00:19:58,080 --> 00:20:03,400 TOGETHER, A TEAM IN ETHICS, A 525 00:20:03,400 --> 00:20:06,160 TEAMBUILDING TOOLS, A TEAM 526 00:20:06,160 --> 00:20:08,240 ACQUIRING DATA, AT A TEAM 527 00:20:08,240 --> 00:20:08,880 TEACHING FUTURE RESEARCHERS HOW 528 00:20:08,880 --> 00:20:09,480 TO USE THE DATA SETS WE WERE 529 00:20:09,480 --> 00:20:11,800 CREATING. 530 00:20:11,800 --> 00:20:12,400 THE TEAM TO START WITH IS SIX 531 00:20:12,400 --> 00:20:14,320 TEAMS WORKING TOGETHER, ALL OF 532 00:20:14,320 --> 00:20:14,960 THAT TO PREPARE THE DATA IN THE 533 00:20:14,960 --> 00:20:18,600 FIRST PHASE OF THE BRIDGE 2AI 534 00:20:18,600 --> 00:20:22,560 PROGRAM AND LATER ON AFTER FOUR 535 00:20:22,560 --> 00:20:23,080 YEARS WILL GOING TO MODEL 536 00:20:23,080 --> 00:20:23,560 DEVELOPMENT AND MODEL 537 00:20:23,560 --> 00:20:25,200 EVALUATION SO THIS WAS THE 538 00:20:25,200 --> 00:20:29,240 CHALLENGE. 539 00:20:29,240 --> 00:20:29,840 ANYBODY WHO IS PART OF THIS 540 00:20:29,840 --> 00:20:31,280 PROGRAM OR PROGRAM OFFICER 541 00:20:31,280 --> 00:20:36,720 KNOWS WHAT I'M TALKING ABOUT. 542 00:20:36,720 --> 00:20:37,200 THEY CALL IT A SOCIAL 543 00:20:37,200 --> 00:20:38,080 EXPERIENCE AND WE OFTEN CALL IT 544 00:20:38,080 --> 00:20:38,640 A SOCIAL EXPENSE BECAUSE WE 545 00:20:38,640 --> 00:20:49,120 WERE ASKED TO APPLY IN SIX 546 00:20:55,800 --> 00:20:56,240 MODULES FROM DIFFERENT 547 00:20:56,240 --> 00:20:56,880 BACKGROUNDS OF ETHICS, DATA, AI 548 00:20:56,880 --> 00:20:57,520 SCIENTISTS, CLINICIANS AND THEN 549 00:20:57,520 --> 00:21:01,800 WE WERE TOLD WELL YOU CAN GET 550 00:21:01,800 --> 00:21:02,440 FUNDING FOR ALL OF THE TEAM OR 551 00:21:02,440 --> 00:21:03,040 SOME OF IT, AND TEAMS HAVE NOT 552 00:21:03,040 --> 00:21:03,640 NECESSARILY WORK WITH EACH 553 00:21:03,640 --> 00:21:06,520 OTHER. BRING ALL YOUR 554 00:21:06,520 --> 00:21:07,080 BEAUTIFUL MINDS AND MAKE IT 555 00:21:07,080 --> 00:21:10,880 WORK BUT IN REALITY IS QUITE 556 00:21:10,880 --> 00:21:11,480 CHALLENGING. THIS IS HOW WE 557 00:21:11,480 --> 00:21:12,960 FEEL MOST OF THE TIME AND WE 558 00:21:12,960 --> 00:21:13,560 HAVE A LOT OF FUN AT WORK WE 559 00:21:13,560 --> 00:21:19,720 ENDED UP BEING FOUR-FUNDED 560 00:21:19,720 --> 00:21:20,280 TEAMS PLUS TWO TRANSPLANTED 561 00:21:20,280 --> 00:21:20,920 TEAMS THAT HAVE BEEN WONDERFUL 562 00:21:20,920 --> 00:21:21,600 TO CREATE A FULL PROJECT. 563 00:21:21,600 --> 00:21:22,160 THIS IS A PROJECT CALLED 564 00:21:22,160 --> 00:21:28,600 BRIDGE 2AI VOICE, VOICE IS A 565 00:21:28,600 --> 00:21:32,560 BIOMARKER OF HEALTH. THIS IS 566 00:21:32,560 --> 00:21:33,120 OUR TEAM SO MY COPRINCIPAL 567 00:21:33,120 --> 00:21:37,040 INVESTIGATOR IS PROF. -- FROM 568 00:21:37,040 --> 00:21:37,640 CORNELL UNIVERSITY AND THIS IS 569 00:21:37,640 --> 00:21:40,040 JUST DELETE PEOPLE OF OUR TEAM. 570 00:21:40,040 --> 00:21:40,520 OUR FULL TEAM HAS 15 571 00:21:40,520 --> 00:21:42,760 INVESTIGATORS FROM 12 DIFFERENT 572 00:21:42,760 --> 00:21:44,400 UNIVERSITIES ACROSS CANADA AND 573 00:21:44,400 --> 00:21:46,120 THE UNITED STATES. WE ARE ONE 574 00:21:46,120 --> 00:21:48,120 OF FOUR FUNDED GDPS OVER FOUR 575 00:21:48,120 --> 00:21:57,880 YEARS. 576 00:21:57,880 --> 00:21:58,440 OUR MAIN GOAL IS TO BUILD A 577 00:21:58,440 --> 00:21:59,040 HUMONGOUS DATABASE OF 30,000 578 00:21:59,040 --> 00:21:59,560 HUMAN VOICES FROM FIVE 579 00:21:59,560 --> 00:22:03,440 CATEGORIES OF DISEASES LINKED 580 00:22:03,440 --> 00:22:04,000 TO OTHER HEALTH INFORMATION 581 00:22:04,000 --> 00:22:06,120 CALLS TO FEEL VOICES AS A 582 00:22:06,120 --> 00:22:06,680 BIOMARKER OF HEALTH AND FOR 583 00:22:06,680 --> 00:22:08,360 VOICES TO BE USED IN FUTURE TO 584 00:22:08,360 --> 00:22:10,840 HELP SCREEN, DIAGNOSE, TREAT 585 00:22:10,840 --> 00:22:11,480 DISEASES, AND POTENTIALLY EVEN 586 00:22:11,480 --> 00:22:12,040 LOOK AT TREATMENT OUTCOME 587 00:22:12,040 --> 00:22:16,560 MEASURES FOR DISEASES. 588 00:22:16,560 --> 00:22:17,080 THE GOAL IS ALSO TO REALLY 589 00:22:17,080 --> 00:22:18,240 FOCUS ON THE ETHICS OF IT AND 590 00:22:18,240 --> 00:22:20,080 THE DIVERSITY, AND THAT IS WHY 591 00:22:20,080 --> 00:22:24,480 A LOT OF YOU ARE HERE TODAY. 592 00:22:24,480 --> 00:22:26,120 WHEN WE LOOK AT OUR SUBGOALS OR 593 00:22:26,120 --> 00:22:29,360 OUR MILESTONES, ONE OF THE 594 00:22:29,360 --> 00:22:30,080 MAJOR THINGS IS TO CREATE A 595 00:22:30,080 --> 00:22:30,640 NETWORK OF STAKEHOLDERS ARE 596 00:22:30,640 --> 00:22:31,240 REALLY THE PEOPLE WHO WILL BE 597 00:22:31,240 --> 00:22:38,400 INVOLVED IN THIS, DEVELOP THE 598 00:22:38,400 --> 00:22:39,000 STANDARDS OF HOW WE COLLECT 599 00:22:39,000 --> 00:22:39,600 ACOUSTIC DATA -- THAT IS OFTEN 600 00:22:39,600 --> 00:22:40,200 NOT STANDARDIZED, TO DEVELOP 601 00:22:40,200 --> 00:22:42,320 THE TECH AND INFRASTRUCTURE. 602 00:22:42,320 --> 00:22:42,840 YOU CAN IMAGINE THAT EVEN 603 00:22:42,840 --> 00:22:43,440 SHARING DATA BETWEEN ALL OF 604 00:22:43,440 --> 00:22:44,000 THESE INSTITUTIONS IS VERY 605 00:22:44,000 --> 00:22:46,000 CHALLENGING. AND ALSO TO 606 00:22:46,000 --> 00:22:46,640 DISSEMINATE THE KNOWLEDGE THAT 607 00:22:46,640 --> 00:22:49,360 WE GATHER. 608 00:22:49,360 --> 00:22:49,960 THIS IS OUR TEAM AND HOW IT IS 609 00:22:49,960 --> 00:22:53,400 STRUCTURED. THE SIX DIFFERENT 610 00:22:53,400 --> 00:22:56,760 TEAMS. THE SIX DIFFERENT COLORS. 611 00:22:56,760 --> 00:22:57,320 AND IN THE MIDDLE THERE IS 612 00:22:57,320 --> 00:22:58,120 SOMETHING CALLED A PLAN FOR 613 00:22:58,120 --> 00:23:02,600 DIVERSITY AND. IT IS REALLY 614 00:23:02,600 --> 00:23:03,240 IMPORTANT THAT EVERYTHING WE DO 615 00:23:03,240 --> 00:23:06,480 THAT WE INCLUDE DIVERSITY THAT 616 00:23:06,480 --> 00:23:11,600 OUR TEAM OF RESEARCHERS THAT 617 00:23:11,600 --> 00:23:14,040 THE DATA THAT WE CAPTURE IS 618 00:23:14,040 --> 00:23:14,560 DIVERSE AND COMES FROM 619 00:23:14,560 --> 00:23:15,200 UNDERREPRESENTED POPULATIONS TO 620 00:23:15,200 --> 00:23:15,800 MAKE SURE THAT OUR MODELS ARE 621 00:23:15,800 --> 00:23:16,480 ACCURATE WHEN WE BILL THEM. 622 00:23:16,480 --> 00:23:17,080 SO AS YOU CAN SEE DIVERSITY IS 623 00:23:17,080 --> 00:23:19,880 AT THE CENTER OF WHAT WE DO. 624 00:23:19,880 --> 00:23:20,480 WHAT WE DO IS GO FOR ACOUSTIC 625 00:23:20,480 --> 00:23:22,560 DATA COLLECTION. WE REALLY TEST 626 00:23:22,560 --> 00:23:28,160 ALL THE DIFFERENT SMART PHONES, 627 00:23:28,160 --> 00:23:28,760 IPADS, MICROPHONES AND WE ARE 628 00:23:28,760 --> 00:23:30,120 TRYING TO BUILD SOMETHING 629 00:23:30,120 --> 00:23:30,720 SCALABLE TO MAKE SURE THAT WE 630 00:23:30,720 --> 00:23:34,320 CAN CAPTURE VOICE WITH LOW 631 00:23:34,320 --> 00:23:38,160 RESOURCE SETTINGS, FOR IT TO BE 632 00:23:38,160 --> 00:23:38,800 SCALABLE AND FOR THE PEOPLE TO 633 00:23:38,800 --> 00:23:42,720 BE ABLE TO USE IT, NOT ONLY 634 00:23:42,720 --> 00:23:43,240 RESEARCHERS AND ACADEMIC 635 00:23:43,240 --> 00:23:45,960 INSTITUTIONS. 636 00:23:45,960 --> 00:23:46,480 OUR TEAM OF STANDARDS WORK 637 00:23:46,480 --> 00:23:47,040 WITH DATA INTEGRATION WITH 638 00:23:47,040 --> 00:23:57,240 SOMETHING CALLED FHIR, FAST 639 00:23:57,240 --> 00:23:57,800 HEALTHCARE INTEROPERABILITY 640 00:23:57,800 --> 00:24:02,560 RESOURCES. WE HAVE AN AMAZING 641 00:24:02,560 --> 00:24:05,880 TEAM OF DATA SCIENTIST AT 642 00:24:05,880 --> 00:24:06,520 LOOKING HOW TO INTEGRATE VOICE 643 00:24:06,520 --> 00:24:08,960 COMPARED TO CT SCANS FOR 644 00:24:08,960 --> 00:24:09,560 EXAMPLE OR COMPARED TO VITAL 645 00:24:09,560 --> 00:24:13,160 SIGNS. 646 00:24:13,160 --> 00:24:13,760 OUR GREAT TEAM OF ETHICISTS 647 00:24:13,760 --> 00:24:17,640 ARE FROM CANADA; I AM ALSO 648 00:24:17,640 --> 00:24:18,280 CANADIAN, I HAVE A BIAS TOWARDS 649 00:24:18,280 --> 00:24:21,840 CANADIAN PEOPLE. AND THEY ASK 650 00:24:21,840 --> 00:24:22,440 A LOT OF ETHICAL QUESTIONS AND 651 00:24:22,440 --> 00:24:29,280 LEGAL QUESTIONS ABOUT VOICE. 652 00:24:29,280 --> 00:24:29,880 HOW DO WE COLLECT VOICES IN AN 653 00:24:29,880 --> 00:24:30,480 ETHICAL MANNER? IS IT HIT HIT 654 00:24:30,480 --> 00:24:35,720 BY IDENTIFIER? CAN WE IDENTIFY 655 00:24:35,720 --> 00:24:39,320 VOICES? CAN WE CLONE YOUR 656 00:24:39,320 --> 00:24:39,960 VOICE? CAN WE SHARE YOUR VOICE? 657 00:24:39,960 --> 00:24:42,680 WHO HAS OWNERSHIP OR YOUR 658 00:24:42,680 --> 00:24:44,480 VOICE? HOW DO WE STUDY IT WE 659 00:24:44,480 --> 00:24:47,560 CANNOT SHARE IT? THOSE ARE GOOD 660 00:24:47,560 --> 00:24:48,200 ETHICAL QUESTIONS THAT THEY ARE 661 00:24:48,200 --> 00:24:48,800 ASKING AND WE ARE GOING TO BE 662 00:24:48,800 --> 00:24:49,320 TREATING BEST PRACTICE 663 00:24:49,320 --> 00:24:52,280 GUIDELINES ON IT. 664 00:24:52,280 --> 00:24:52,760 OUR TEAM AT CORNELL IS 665 00:24:52,760 --> 00:24:55,840 DEVELOPING THE TOOLS. WE ARE 666 00:24:55,840 --> 00:24:56,440 DEVELOPING AN APPLICATION TO 667 00:24:56,440 --> 00:24:59,440 COLLECT VOICES ACROSS ALL 668 00:24:59,440 --> 00:24:59,960 DISEASES, BUT ALSO THE 669 00:24:59,960 --> 00:25:03,040 INFRASTRUCTURE TO SHARE THE 670 00:25:03,040 --> 00:25:03,680 DATA AND FOR RESEARCHERS TO BE 671 00:25:03,680 --> 00:25:07,480 ABLE TO DOWNLOAD THE DATA. AND 672 00:25:07,480 --> 00:25:08,040 THEN WE ARE SUPPORTED BY 673 00:25:08,040 --> 00:25:10,320 FEDERATED LEARNING WHICH IS A 674 00:25:10,320 --> 00:25:10,920 TECHNOLOGY THAT ALLOWS TO SHARE 675 00:25:10,920 --> 00:25:14,520 DATA WITHOUT NECESSARILY 676 00:25:14,520 --> 00:25:15,120 SHARING THE DATA SO REALLY TO 677 00:25:15,120 --> 00:25:19,000 OPTIMIZE DATA PRIVACY. 678 00:25:19,000 --> 00:25:23,560 BASICALLY THE MODEL UPDATES ARE 679 00:25:23,560 --> 00:25:24,080 TRANSFERRED, AND MULTIPLE 680 00:25:24,080 --> 00:25:24,680 INSTITUTIONS CAN BENEFIT FROM 681 00:25:24,680 --> 00:25:26,160 MODEL UPDATES AND HAVE THEIR 682 00:25:26,160 --> 00:25:27,200 MODELS LEARNED WITHOUT HAVING 683 00:25:27,200 --> 00:25:29,680 THE ACTUAL DATA. SO REALLY 684 00:25:29,680 --> 00:25:30,320 OPTIMIZING THE WAY WE SHARE THE 685 00:25:30,320 --> 00:25:30,840 DATA WHILE PROTECTING THE 686 00:25:30,840 --> 00:25:34,760 PATIENTS. 687 00:25:34,760 --> 00:25:35,360 OUR APPROACH GOES FROM QUALITY 688 00:25:35,360 --> 00:25:38,160 TO QUALITY. THAT IS VERY 689 00:25:38,160 --> 00:25:38,760 IMPORTANT FOR US THAT ALL THE 690 00:25:38,760 --> 00:25:41,520 VOICES WE COLLECT AT THE 691 00:25:41,520 --> 00:25:44,360 BEGINNING IN THE FIRST YEAR ARE 692 00:25:44,360 --> 00:25:44,960 DONE IN ACADEMIC INSTITUTIONS 693 00:25:44,960 --> 00:25:46,880 WITH CLINICALLY VALIDATED DATA 694 00:25:46,880 --> 00:25:55,200 BEFORE WE SCALE UP. A LOT OF 695 00:25:55,200 --> 00:25:55,840 PROJECTS THAT HAVE COME UP WITH 696 00:25:55,840 --> 00:25:56,800 VOICE AS A BIOMARKER GETTING 697 00:25:56,800 --> 00:25:58,040 THE CHALLENGES OF INACCURATE 698 00:25:58,040 --> 00:26:02,240 DATA, OR NOISY DATA OR MESSAGE 699 00:26:02,240 --> 00:26:02,880 DATA THAT BECOMES VERY HARD TO 700 00:26:02,880 --> 00:26:03,480 ANALYZE A WE ARE STARTING IN 701 00:26:03,480 --> 00:26:04,680 OUR UNIVERSITIES AND THEN 702 00:26:04,680 --> 00:26:05,280 EXPANDING OVER FOUR YEARS TO 703 00:26:05,280 --> 00:26:08,280 PEOPLE AT HOME. 704 00:26:08,280 --> 00:26:08,840 WE ALSO COLLECT MORE THAN 705 00:26:08,840 --> 00:26:14,600 VOICE. WE COLLECT CT SCANS, 706 00:26:14,600 --> 00:26:15,080 VITAL SIGNS, VALIDATED 707 00:26:15,080 --> 00:26:15,720 QUESTIONNAIRES, AND EVEN WHOLE 708 00:26:15,720 --> 00:26:21,200 GENOME SEQUENCING. AS YOU CAN 709 00:26:21,200 --> 00:26:21,800 SEE WE ARE JUST INCREASING IN 710 00:26:21,800 --> 00:26:22,360 COMPLEXITY AND THAT IS ALL 711 00:26:22,360 --> 00:26:23,000 GOING TO MAKE SENSE WHEN WE ARE 712 00:26:23,000 --> 00:26:24,320 GOING TO TALK ABOUT HOW TO MAKE 713 00:26:24,320 --> 00:26:26,080 ALL THAT WORK TOGETHER, AND HOW 714 00:26:26,080 --> 00:26:26,640 TO MAKE ALL OF THESE PEOPLE 715 00:26:26,640 --> 00:26:30,200 WORK TOGETHER. 716 00:26:30,200 --> 00:26:30,680 AND THIS IS A PLAN FOR 717 00:26:30,680 --> 00:26:34,080 DISSEMINATION TO PROMOTE WHAT 718 00:26:34,080 --> 00:26:34,640 WE DO IN TERMS OF TEACHING 719 00:26:34,640 --> 00:26:37,240 PEOPLE ABOUT VOICE DATA, 720 00:26:37,240 --> 00:26:37,880 TEACHING RESEARCH ABOUT HOW TO 721 00:26:37,880 --> 00:26:40,440 USE VOICE DATA, AND WHO WILL BE 722 00:26:40,440 --> 00:26:41,040 THE STAKEHOLDERS AND WHO WILL 723 00:26:41,040 --> 00:26:43,200 BE THE PEOPLE WHO WILL BENEFIT 724 00:26:43,200 --> 00:26:43,760 FROM WHAT WE BUILD IN THE 725 00:26:43,760 --> 00:26:51,280 FUTURE. AND HOPEFULLY THE 726 00:26:51,280 --> 00:26:54,120 PERENNITY OF OUR PROJECT AS 727 00:26:54,120 --> 00:26:55,520 WELL. 728 00:26:55,520 --> 00:26:56,120 THIS IS OUR PLAN FOR DIVERSITY 729 00:26:56,120 --> 00:26:56,640 AND INCLUSION AND LOTS OF 730 00:26:56,640 --> 00:27:00,880 COLLABORATIONS ARE MADE WITH 731 00:27:00,880 --> 00:27:01,480 GROUPS THAT ARE UNDERSERVED, 732 00:27:01,480 --> 00:27:02,200 UNDERREPRESENTED, TO MAKE SURE 733 00:27:02,200 --> 00:27:06,680 THEY ALSO CONTRIBUTE TO THE 734 00:27:06,680 --> 00:27:07,160 DATABASE AND ALSO THE 735 00:27:07,160 --> 00:27:07,520 RESEARCHER FROM 736 00:27:07,520 --> 00:27:08,120 UNDERREPRESENTED COMMUNITIES 737 00:27:08,120 --> 00:27:11,840 PARTICIPATE IN WHAT WE DO. 738 00:27:11,840 --> 00:27:12,440 AND WHAT WE DEFINE SUCCESS OF 739 00:27:12,440 --> 00:27:16,520 OUR PROJECT. THE GOAL IS TO 740 00:27:16,520 --> 00:27:17,080 DEVELOP RESEARCH FOR THE 741 00:27:17,080 --> 00:27:19,280 COMMUNITY, TO FEEL VOICES AI 742 00:27:19,280 --> 00:27:19,800 RESEARCH BY DISSEMINATING 743 00:27:19,800 --> 00:27:25,520 CLINICALLY VALIDATED VOICE DATA. 744 00:27:25,520 --> 00:27:26,120 WE HOPE IT WILL HAVE A LOT OF 745 00:27:26,120 --> 00:27:26,640 DERIVATIVE PRODUCT AND 746 00:27:26,640 --> 00:27:27,240 ALGORITHMS TO ANSWER TANGIBLE 747 00:27:27,240 --> 00:27:27,840 CLINICAL QUESTIONS THAT WILL 748 00:27:27,840 --> 00:27:32,680 NOT BE DEVELOPED BY US BUT BY 749 00:27:32,680 --> 00:27:33,320 OTHER RESEARCHERS BECAUSE THIS 750 00:27:33,320 --> 00:27:33,960 DATA IS MEANT TO BE OPEN SOURCE 751 00:27:33,960 --> 00:27:38,360 AND AVAILABLE. AND WE HOPE TO 752 00:27:38,360 --> 00:27:39,000 BE ABLE TO GIVE BEST PRACTICES 753 00:27:39,000 --> 00:27:39,600 TO THE COMMUNITY IN TERMS OF 754 00:27:39,600 --> 00:27:40,200 STANDARDS, ETHICS, TOOLS AND 755 00:27:40,200 --> 00:27:42,680 PROTOCOLS. 756 00:27:42,680 --> 00:27:46,120 SO VERY QUICKLY. I AM SURE 757 00:27:46,120 --> 00:27:49,560 THAT IF YOU FOLLOWED UNTIL NOW 758 00:27:49,560 --> 00:27:50,200 YOU SEE THAT THERE ARE PROBABLY 759 00:27:50,200 --> 00:27:54,080 SOME IMPORTANT CHALLENGES, 760 00:27:54,080 --> 00:27:54,480 BECAUSE ALL OF THAT 761 00:27:54,480 --> 00:27:55,080 THEORETICALLY MAKES A LOT OF 762 00:27:55,080 --> 00:27:57,520 SENSE BUT HOW DO YOU DO IT? 763 00:27:57,520 --> 00:28:00,000 THE CHALLENGES OF TEAM 764 00:28:00,000 --> 00:28:02,160 SCIENCE, SOME OF THE 765 00:28:02,160 --> 00:28:02,800 CHALLENGES, THAT WE CALL SOCIAL 766 00:28:02,800 --> 00:28:04,680 ENGINEERING HERE. ALL THESE 767 00:28:04,680 --> 00:28:05,160 PEOPLE HAVE DIFFERENT 768 00:28:05,160 --> 00:28:06,840 BACKGROUNDS. THEY SPEAK 769 00:28:06,840 --> 00:28:10,960 DIFFERENT LANGUAGES. NOT JUST 770 00:28:10,960 --> 00:28:11,600 FROM THE BASIC TERM OF LANGUAGE 771 00:28:11,600 --> 00:28:14,680 BUT AN ETHICIST DOES NOT USE 772 00:28:14,680 --> 00:28:15,200 THE SAME TERM IS A DATA 773 00:28:15,200 --> 00:28:18,160 SCIENTIST FOR EXAMPLE. THEY 774 00:28:18,160 --> 00:28:19,320 HAVE DIFFERENT PERSONALITIES. 775 00:28:19,320 --> 00:28:19,880 WHOEVER HAS BEEN AN AMAZING 776 00:28:19,880 --> 00:28:22,040 POSITION YOU KNOW PERSONALITIES 777 00:28:22,040 --> 00:28:26,440 MATTER. PEOPLE HAVE DIFFERENT 778 00:28:26,440 --> 00:28:27,800 INCENTIVES. 779 00:28:27,800 --> 00:28:28,400 WHAT IS COMMON IS THAT ALL OF 780 00:28:28,400 --> 00:28:30,040 THESE WONDERFUL PEOPLE WORKING 781 00:28:30,040 --> 00:28:31,840 TOGETHER HAVE ONE SINGLE 782 00:28:31,840 --> 00:28:32,480 PASSION OR AT LEAST ARE JOINED 783 00:28:32,480 --> 00:28:34,520 BY THE SINGLE PASSION, WHICH IS 784 00:28:34,520 --> 00:28:38,920 THE DESIRE TO MAKE A CHANGE. 785 00:28:38,920 --> 00:28:39,520 AND IN THIS CASE A DESIRE TO 786 00:28:39,520 --> 00:28:43,840 REALLY USE VOICE AS A 787 00:28:43,840 --> 00:28:44,440 BIOMARKER, AND TO SOLVE THIS 788 00:28:44,440 --> 00:28:47,080 COMMON CHALLENGE USING VOICE 789 00:28:47,080 --> 00:28:47,680 PROCESS AS A BIOMARKER AND I 790 00:28:47,680 --> 00:28:48,680 CAN SAY WHEN I WROTE THIS 791 00:28:48,680 --> 00:28:49,280 GRANT, I READ SO MUCH ON TEAM 792 00:28:49,280 --> 00:28:54,760 SCIENCE. THERE IS A NATIONAL 793 00:28:54,760 --> 00:28:55,320 CANCER INSTITUTE THAT HAS A 794 00:28:55,320 --> 00:28:56,680 FIELD GUIDE ON COLLABORATION 795 00:28:56,680 --> 00:29:00,880 AND TEAM SCIENCE. THERE IS A 796 00:29:00,880 --> 00:29:01,520 LOT OF INFORMATION FROM THE NIH 797 00:29:01,520 --> 00:29:02,480 THAT HAS HAS BEEN PUBLISHED BUT 798 00:29:02,480 --> 00:29:03,600 THERE IS NOTHING THAT PREPARES 799 00:29:03,600 --> 00:29:04,160 YOU FOR THIS DEEP DIVE INTO 800 00:29:04,160 --> 00:29:10,720 TEAM SCIENCE. IT IS ALWAYS 801 00:29:10,720 --> 00:29:11,360 HARDER THAN IT LOOKS AND THANK 802 00:29:11,360 --> 00:29:13,960 GOD WE HAVE A FEW GUYS ARE 803 00:29:13,960 --> 00:29:14,560 WONDERFUL, BUT REALLY GOING IN 804 00:29:14,560 --> 00:29:15,040 THE FIELD MAKES A BIG 805 00:29:15,040 --> 00:29:18,480 DIFFERENCE IN WHAT WE LEARN. 806 00:29:18,480 --> 00:29:18,960 SO TO GIVE YOU A QUICK 807 00:29:18,960 --> 00:29:20,440 OVERVIEW OF WHAT WE HAVE 808 00:29:20,440 --> 00:29:21,080 ACCOMPLISHED IN THE FIRST EIGHT 809 00:29:21,080 --> 00:29:26,200 MONTHS. SO FROM A TEAMING 810 00:29:26,200 --> 00:29:26,800 PERSPECTIVE JUST PUTTING THIS 811 00:29:26,800 --> 00:29:27,440 INFRASTRUCTURE TOGETHER FROM AN 812 00:29:27,440 --> 00:29:27,960 ADMINISTRATIVE, FINANCIAL 813 00:29:27,960 --> 00:29:35,200 INFRASTRUCTURE, TAKES TIME. 814 00:29:35,200 --> 00:29:35,840 THAT IS WHAT WE HAVE BEEN DOING 815 00:29:35,840 --> 00:29:38,200 AND WE DEVELOPED CONSENT ACROSS 816 00:29:38,200 --> 00:29:40,440 ALL INSTITUTIONS, DATA SHARING 817 00:29:40,440 --> 00:29:40,920 AGREEMENTS AND WE HAD A 818 00:29:40,920 --> 00:29:42,160 WONDERFUL INAUGURAL VOICE AND 819 00:29:42,160 --> 00:29:52,000 POTION THAT WE WILL TALK ABOUT. 820 00:29:52,000 --> 00:29:52,520 FROM A STANDARDS AND TOOLS 821 00:29:52,520 --> 00:29:53,880 PERSPECTIVE, OUR TEAM DEVELOP 822 00:29:53,880 --> 00:29:54,480 AN APP FOR DATA COLLECTION, A 823 00:29:54,480 --> 00:29:55,080 CLOUD INFRASTRUCTURE WITH NIH 824 00:29:55,080 --> 00:29:55,720 PARTNER, AND ALSO THE STANDARD 825 00:29:55,720 --> 00:29:57,280 FOR VOICE DATA. 826 00:29:57,280 --> 00:30:00,440 AND AFTER EIGHT MONTHS, WE NOW 827 00:30:00,440 --> 00:30:00,960 HAVE PROTOCOLS ACROSS ALL 828 00:30:00,960 --> 00:30:02,680 COHORT SO WE HAVE PROTOCOLS 829 00:30:02,680 --> 00:30:06,240 VETTED BY A LOT OF EXPERTS IN 830 00:30:06,240 --> 00:30:07,840 THE FIELD, EXPERTS FROM 831 00:30:07,840 --> 00:30:08,320 NEUROLOGY, EXPERTS FROM 832 00:30:08,320 --> 00:30:12,600 RESPIRATORY DISEASES, FROM 833 00:30:12,600 --> 00:30:13,240 VOICE DISORDERS, FROM PEDIATRIC 834 00:30:13,240 --> 00:30:16,160 DISORDERS, LOOKING AT ALL THE 835 00:30:16,160 --> 00:30:16,800 WAYS THAT PEOPLE CAPTURE VOICE 836 00:30:16,800 --> 00:30:19,920 DATA FOR THESE DISEASES AND 837 00:30:19,920 --> 00:30:20,520 REALLY OBTAIN A CONSENSUS ON 838 00:30:20,520 --> 00:30:21,160 THE PROTOCOLS THAT WILL WILL BE 839 00:30:21,160 --> 00:30:26,720 USING AN WE ARE STARTING 840 00:30:26,720 --> 00:30:27,320 FEASIBILITY STUDIES TOMORROW, 841 00:30:27,320 --> 00:30:29,360 JUNE 1, TWO DAYS. WE ARE VERY 842 00:30:29,360 --> 00:30:33,480 EXCITED ABOUT IT. 843 00:30:33,480 --> 00:30:34,080 FROM THE ETHICS STANDPOINT WE 844 00:30:34,080 --> 00:30:37,760 HAD A NICE STAKEHOLDER FORUM 845 00:30:37,760 --> 00:30:38,320 WHERE WE INVITED PEOPLE TO 846 00:30:38,320 --> 00:30:38,880 SHARE THEIR IDEAS, THEIR 847 00:30:38,880 --> 00:30:40,280 CONCERNS ABOUT ETHICS, TO 848 00:30:40,280 --> 00:30:44,520 IDENTIFY ETHICAL ISSUES, AND 849 00:30:44,520 --> 00:30:46,880 THAT WAS VERY INTERESTING AND 850 00:30:46,880 --> 00:30:47,440 EYE-OPENING TO SEE WHAT THE 851 00:30:47,440 --> 00:30:51,560 ACTUAL PATIENTS AND WHAT THE 852 00:30:51,560 --> 00:30:52,200 STAKEHOLDERS THINK ABOUT VOICE 853 00:30:52,200 --> 00:30:52,760 AND HOW IT CAN IMPACT OUR 854 00:30:52,760 --> 00:30:54,800 HEALTH. 855 00:30:54,800 --> 00:30:57,480 AND OBVIOUSLY THEY ALSO HELPED 856 00:30:57,480 --> 00:30:58,080 A LOT IN THE WAY THAT WE CAN 857 00:30:58,080 --> 00:31:00,120 SEND PEOPLE AND THE DEVELOPMENT 858 00:31:00,120 --> 00:31:08,560 OF OUR PROTOCOLS. 859 00:31:08,560 --> 00:31:09,120 WE HAD A WONDERFUL INAUGURAL 860 00:31:09,120 --> 00:31:09,640 VOICE AI SYMPOSIA WERE 861 00:31:09,640 --> 00:31:10,240 REGATHERED 130 STAKEHOLDERS 862 00:31:10,240 --> 00:31:10,880 INVESTED INVOICE BIOMARKERS IN 863 00:31:10,880 --> 00:31:12,400 DC. MAYBE SOME OF YOU ATTENDED 864 00:31:12,400 --> 00:31:15,800 AND IT WAS TRULY MAGICAL. WE'RE 865 00:31:15,800 --> 00:31:16,360 GOING TO TALK ABOUT IT MORE 866 00:31:16,360 --> 00:31:18,280 LITTLE BIT IN OUR LESSONS 867 00:31:18,280 --> 00:31:18,640 LEARNED. 868 00:31:18,640 --> 00:31:22,120 SO LET'S TALK ABOUT LESSONS. 869 00:31:22,120 --> 00:31:26,160 IT ENDED UP BEING 10; IT IS 870 00:31:26,160 --> 00:31:26,760 ALWAYS NICE TO HAVE A GOOD 871 00:31:26,760 --> 00:31:29,760 NUMBER. SOME OF THEM MIGHT BE 872 00:31:29,760 --> 00:31:30,400 INTUITIVE, BUT I WILL TELL YOU 873 00:31:30,400 --> 00:31:31,000 THAT SOME OF THEM ARE LEARN THE 874 00:31:31,000 --> 00:31:33,400 HARD WAY. HOPEFULLY IT CAN GIVE 875 00:31:33,400 --> 00:31:34,120 SOME INSIGHTS TO SOME OF YOU ON 876 00:31:34,120 --> 00:31:38,920 THE CALL. 877 00:31:38,920 --> 00:31:39,520 SO THE FIRST LESSON IS, IT IS 878 00:31:39,520 --> 00:31:42,480 EASY TO LEAD A COMPANY THAT AN 879 00:31:42,480 --> 00:31:43,040 ACADEMIC CONSORTIUM. I HAVE 880 00:31:43,040 --> 00:31:44,520 NEVER BEEN AT THE HEAD OF THE 881 00:31:44,520 --> 00:31:45,160 COMPANY, BUT MY HUSBAND DOESN'T 882 00:31:45,160 --> 00:31:47,600 HAVE A LOT OF FRIENDS WHO ARE 883 00:31:47,600 --> 00:31:48,240 LEADING A COMPANY AND I ALWAYS 884 00:31:48,240 --> 00:31:49,840 TRY TO ASK THEM FOR ADVICE. IT 885 00:31:49,840 --> 00:31:53,880 ALWAYS SEEMS A LOT EASIER. WHY? 886 00:31:53,880 --> 00:31:55,760 WHEN YOU THINK ABOUT IT, IN A 887 00:31:55,760 --> 00:31:56,960 COMPANY LEADERSHIP STRUCTURE IS 888 00:31:56,960 --> 00:31:59,160 CLEAR. THERE IS NO 889 00:31:59,160 --> 00:32:01,360 COLEADERSHIP, MPIS, MULTIPLE 890 00:32:01,360 --> 00:32:06,760 TEAMS AND NO PI. FOR THIS 891 00:32:06,760 --> 00:32:07,360 PARTICULAR GRANT WE WERE TOLD 892 00:32:07,360 --> 00:32:08,680 THAT THERE IS NO OVERALL PI 893 00:32:08,680 --> 00:32:12,760 JUST CO-PIS, GREAT IN THEORY IN 894 00:32:12,760 --> 00:32:13,320 ACADEMIA BUT IN THE COMPANY 895 00:32:13,320 --> 00:32:14,120 THERE IS A CLEAR STRUCTURE EASY 896 00:32:14,120 --> 00:32:15,280 TO UNDERSTAND. 897 00:32:15,280 --> 00:32:18,480 REPORTING. IN A COMPANY PEOPLE 898 00:32:18,480 --> 00:32:25,120 REPORT TO ONE BOSS. IN ACADEMIC 899 00:32:25,120 --> 00:32:25,600 CONSORTIUMS IT IS SO 900 00:32:25,600 --> 00:32:26,200 COMPLICATED; AS A RESEARCHER 901 00:32:26,200 --> 00:32:28,640 YOU REPORT TO YOUR SOLUTION, TO 902 00:32:28,640 --> 00:32:29,160 YOUR CHAIR, YOUR DIVISION 903 00:32:29,160 --> 00:32:32,240 CHIEF, YOU CAN REPORT TO YOUR 904 00:32:32,240 --> 00:32:32,840 NIHPI, SO IT BECOMES WAY MORE 905 00:32:32,840 --> 00:32:34,640 COMPLICATED. 906 00:32:34,640 --> 00:32:39,480 YOUR SALARY IS DEPENDENT ON 907 00:32:39,480 --> 00:32:40,000 EFFICIENCY OF WHAT YOU 908 00:32:40,000 --> 00:32:40,840 ACCOMPLISH AT WORK IN A 909 00:32:40,840 --> 00:32:42,200 COMPANY. IN ACADEMIA, NOT AT 910 00:32:42,200 --> 00:32:44,800 ALL. YOUR SALARY DOES NOT 911 00:32:44,800 --> 00:32:45,320 CHANGE IF THE PROJECT IS 912 00:32:45,320 --> 00:32:49,880 SUCCESSFUL OR NOT. 913 00:32:49,880 --> 00:32:55,200 IN TERMS OF IDENTITY, COMPANY 914 00:32:55,200 --> 00:32:55,800 IDENTITY YOU CAN HAVE STRONG 915 00:32:55,800 --> 00:32:56,520 THINGS OF BELONGING TO A 916 00:32:56,520 --> 00:32:57,120 COMPANY VERSUS IN ACADEMIA YOU 917 00:32:57,120 --> 00:32:57,680 HAVE MULTIPLE IDENTITIES, 918 00:32:57,680 --> 00:33:01,640 MULTIPLE INSTITUTIONS ARE -- 919 00:33:01,640 --> 00:33:02,280 AND TO FEEL THAT YOU BELONG TO 920 00:33:02,280 --> 00:33:02,880 A COURSE OPTION IS ACTUALLY 921 00:33:02,880 --> 00:33:05,360 VERY DIFFICULT. 922 00:33:05,360 --> 00:33:10,920 LOCATION, IF YOU WORK IN THE 923 00:33:10,920 --> 00:33:14,200 SAME SPACE IT IS EASIER TO 924 00:33:14,200 --> 00:33:14,800 COLLABORATE AND FOR ACADEMIC 925 00:33:14,800 --> 00:33:16,400 CONSORTIUM THAT IS A LOT OF 926 00:33:16,400 --> 00:33:17,040 GEOGRAPHICAL HETEROGENEITY AND 927 00:33:17,040 --> 00:33:17,640 ZOOM RELATIONSHIPS AND THE GOAL 928 00:33:17,640 --> 00:33:18,480 OF THE COMPANY MOST OF THE TIME 929 00:33:18,480 --> 00:33:19,000 IS TO MAKE MONEY VERSUS 930 00:33:19,000 --> 00:33:23,880 ACADEMIC CONSORTIUM GOALS TO BE 931 00:33:23,880 --> 00:33:24,480 MULTIPLE, PUBLISHING, RESEARCH 932 00:33:24,480 --> 00:33:26,920 MISSION, A GRANT CHALLENGE. 933 00:33:26,920 --> 00:33:27,480 WHAT IS REALLY COMMON IS THE 934 00:33:27,480 --> 00:33:28,480 FEELING OF ACCOMPLISHMENT THAT 935 00:33:28,480 --> 00:33:32,720 SHOULD BE THE SAME IN BOTH. 936 00:33:32,720 --> 00:33:37,840 AND THAT COMES TO INCENTIVES. 937 00:33:37,840 --> 00:33:42,280 IT IS NOT LIKE IN A COMPANY 938 00:33:42,280 --> 00:33:44,480 MAKING MONEY. WHAT IS IT IN 939 00:33:44,480 --> 00:33:44,960 ACADEMIA? YOU HAVE TO 940 00:33:44,960 --> 00:33:54,240 UNDERSTAND THESE INCENTIVES. 941 00:33:54,240 --> 00:33:54,880 ACADEMIC INCENTIVES ARE GRANTS, 942 00:33:54,880 --> 00:33:55,440 PUBLICATIONS, PROMOTIONS, 943 00:33:55,440 --> 00:33:56,000 TENURE, RAISES, AND ALWAYS 944 00:33:56,000 --> 00:34:01,520 THINK ABOUT OTHERS. 945 00:34:01,520 --> 00:34:02,080 HE BECAME A WORKING WITH THE 946 00:34:02,080 --> 00:34:02,720 SECRET CRUSH AND YOU WANT TO 947 00:34:02,720 --> 00:34:03,320 KEEP WORKING WITH THEM OR GOING 948 00:34:03,320 --> 00:34:06,840 TO FREE TRIPS OR CONFERENCES. 949 00:34:06,840 --> 00:34:08,520 BUT JOKES ASIDE IT IS IMPORTANT 950 00:34:08,520 --> 00:34:10,360 TO UNDERSTAND PEOPLE'S 951 00:34:10,360 --> 00:34:10,960 INCENTIVES. DIFFERENT PEOPLE IN 952 00:34:10,960 --> 00:34:11,600 THE HIERARCHY OF THE GRANTOR OR 953 00:34:11,600 --> 00:34:12,160 CONSORTIUM HAD DIFFERENT 954 00:34:12,160 --> 00:34:12,560 INCENTIVES. 955 00:34:12,560 --> 00:34:15,840 ME FOR ME I AM ONE OF THE PIS, 956 00:34:15,840 --> 00:34:19,840 AND I GET A LOT BACK IN THE 957 00:34:19,840 --> 00:34:20,440 PROJECT SUCCESSFUL VERSUS ONE 958 00:34:20,440 --> 00:34:21,040 OF THE STUDENTS WHO IS ON IT 959 00:34:21,040 --> 00:34:23,800 DOES NOT GET DISINCENTIVES. 960 00:34:23,800 --> 00:34:24,360 FOR HIM PUBLISHING IS MORE 961 00:34:24,360 --> 00:34:25,040 IMPORTANT OR GETTING HIS PHD IS 962 00:34:25,040 --> 00:34:26,360 MORE IMPORTANT. 963 00:34:26,360 --> 00:34:30,720 LESSON TWO. GET TO KNOW YOUR 964 00:34:30,720 --> 00:34:35,720 PEOPLE EARLY. IT SEEMS SIMPLE, 965 00:34:35,720 --> 00:34:36,360 BUT IT ACTUALLY TAKES A LOT OF 966 00:34:36,360 --> 00:34:38,040 WORK TO GET TO KNOW YOUR TEAM. 967 00:34:38,040 --> 00:34:41,720 RIGHT? WE ARE IN ZOOM MEETINGS 968 00:34:41,720 --> 00:34:43,720 ALL DAY, OFTEN WITH A LOT OF 969 00:34:43,720 --> 00:34:44,560 PEOPLE AND IT IS HARD TO GET TO 970 00:34:44,560 --> 00:34:49,400 KNOW PEOPLE, ESPECIALLY 971 00:34:49,400 --> 00:34:50,000 REMOTELY. WHY IS IT IMPORTANT 972 00:34:50,000 --> 00:34:52,880 TO GET TO KNOW YOUR PEOPLE? TO 973 00:34:52,880 --> 00:34:53,320 DEVELOP MEANINGFUL 974 00:34:53,320 --> 00:34:55,920 RELATIONSHIPS WITH THE TEAM. 975 00:34:55,920 --> 00:35:04,760 (VIDEO FROZEN). -- I ALWAYS 976 00:35:04,760 --> 00:35:06,080 SAY THAT IF WE WORK TOGETHER IT 977 00:35:06,080 --> 00:35:06,640 IS BECAUSE YOU CAN HELP ME 978 00:35:06,640 --> 00:35:07,280 ACHIEVE MY GOALS AS MUCH AS I 979 00:35:07,280 --> 00:35:09,360 HELP YOU ACHIEVE YOUR GOALS. 980 00:35:09,360 --> 00:35:09,960 OR ELSE IT IS A RELATIONSHIP 981 00:35:09,960 --> 00:35:13,120 NOT WORTH IT, IF IT IS NOT A 982 00:35:13,120 --> 00:35:17,280 GIVE GIVE RELATIONSHIP. 983 00:35:17,280 --> 00:35:17,840 AT THE END OF THE DAY IF YOU 984 00:35:17,840 --> 00:35:18,480 MANAGE TO DO THAT IT WILL MAKE 985 00:35:18,480 --> 00:35:20,760 YOUR PROJECT MORE SUCCESSFUL. 986 00:35:20,760 --> 00:35:22,040 THIS IS MY FAVORITE LEADERSHIP 987 00:35:22,040 --> 00:35:24,600 BOOK. THIS PART OF THE TALK IS 988 00:35:24,600 --> 00:35:27,520 USUALLY INTERACTIVE. MAYBE BY A 989 00:35:27,520 --> 00:35:31,840 RAISE OF HANDS, YOU CAN TELL ME 990 00:35:31,840 --> 00:35:32,400 IF YOU HAVE EVER READ THAT 991 00:35:32,400 --> 00:35:38,480 BOOK. LET ME SEE IF YOU HAVE 992 00:35:38,480 --> 00:35:39,080 READ THAT BOOK, RAISE YOUR 993 00:35:39,080 --> 00:35:40,720 HAND, OR IN YOUR HEAD. THIS IS 994 00:35:40,720 --> 00:35:43,160 THE BEST BOOK ABOUT LEADERSHIP. 995 00:35:43,160 --> 00:35:43,720 IT IS ACTUALLY A BOOK ABOUT 996 00:35:43,720 --> 00:35:48,360 RELATIONSHIPS AND ABOUT LOVE, 997 00:35:48,360 --> 00:35:50,040 CALL THE FIVE LOVE LANGUAGES 998 00:35:50,040 --> 00:35:52,560 THE BESTSELLER. I READ THAT 999 00:35:52,560 --> 00:35:53,160 DURING MY LEADERSHIP MASTERS, 1000 00:35:53,160 --> 00:35:54,760 MY LEADERSHIP CLASS. 1001 00:35:54,760 --> 00:35:56,640 AND WHAT IT TELLS YOU IS 1002 00:35:56,640 --> 00:36:07,120 REALLY THAT EVERYBODY DOES 1003 00:36:09,400 --> 00:36:09,880 THINGS BECAUSE THE WAY THEY 1004 00:36:09,880 --> 00:36:10,440 WERE RAISED THE WAY THEY 1005 00:36:10,440 --> 00:36:11,080 PERCEIVE THINGS. THERE ARE FIVE 1006 00:36:11,080 --> 00:36:13,960 LANGUAGES OF LOVE. ACTS OF 1007 00:36:13,960 --> 00:36:14,600 SERVICE, GIFT OF GIVING, WORDS 1008 00:36:14,600 --> 00:36:17,560 OF AFFIRMATION, QUALITY TIME, 1009 00:36:17,560 --> 00:36:22,840 PHYSICAL TOUCH. WHAT IS 1010 00:36:22,840 --> 00:36:23,440 IMPORTANT FOR PEOPLE IS THAT 1011 00:36:23,440 --> 00:36:25,560 THEY ARE DOING A GOOD JOB BASED 1012 00:36:25,560 --> 00:36:26,160 ON WHAT THEY THINK BUT I THINK 1013 00:36:26,160 --> 00:36:26,760 THEY ARE NOT DOING A GOOD JOB 1014 00:36:26,760 --> 00:36:27,360 BECAUSE THEY ARE NOT DOING A 1015 00:36:27,360 --> 00:36:28,000 GOOD JOB BASED ON WHAT I THINK 1016 00:36:28,000 --> 00:36:28,520 A GOOD JOB IS TO REALLY 1017 00:36:28,520 --> 00:36:35,000 PERCEPTION IS KEY. AND GETTING 1018 00:36:35,000 --> 00:36:35,480 TO KNOW EVERYONE'S LOVE 1019 00:36:35,480 --> 00:36:36,040 LANGUAGES AND EVERYONE'S 1020 00:36:36,040 --> 00:36:38,000 PERSONALITY WILL HELP YOU 1021 00:36:38,000 --> 00:36:38,600 UNDERSTAND WHY THEY ARE DOING 1022 00:36:38,600 --> 00:36:40,960 SOMETHING GOOD OR WHY THEY ARE 1023 00:36:40,960 --> 00:36:41,520 NOT PERFORMING THE WAY THEY 1024 00:36:41,520 --> 00:36:44,080 NEED TO BE PERFORMING, OR NOT 1025 00:36:44,080 --> 00:36:44,680 DELIVERING THE WAY THEY NEED TO 1026 00:36:44,680 --> 00:36:48,800 BE DELIVERING. 1027 00:36:48,800 --> 00:36:49,400 MY OTHER QUESTION EARLY ON TO 1028 00:36:49,400 --> 00:36:50,320 TRY TO UNDERSTAND PEOPLE I WORK 1029 00:36:50,320 --> 00:36:55,720 WITH IS, WHO DO YOU REPORT TO 1030 00:36:55,720 --> 00:36:56,360 AND WHAT IS YOUR ROLE? WHO IS 1031 00:36:56,360 --> 00:36:56,920 YOUR BOSS? THAT IS REALLY 1032 00:36:56,920 --> 00:37:03,520 IMPORTANT. PEOPLE WILL HAVE 1033 00:37:03,520 --> 00:37:04,120 DIFFERENT INCENTIVES BASED ON 1034 00:37:04,120 --> 00:37:05,400 THE ROLE AND WHO THE REPORT TO 1035 00:37:05,400 --> 00:37:06,000 AND WE ALL REPORT TO SOMEONE. 1036 00:37:06,000 --> 00:37:06,600 THAT WAS A REALLY GOOD EXAMPLE 1037 00:37:06,600 --> 00:37:07,200 I LEARNED IN MY LEADERSHIP 1038 00:37:07,200 --> 00:37:07,960 CLASS. JUST A CASE STUDY HERE. 1039 00:37:07,960 --> 00:37:18,440 THIS IS DR. D. CISION, ELECTED 1040 00:37:19,280 --> 00:37:19,800 AS THE NEW QI LEAD FOR THE 1041 00:37:19,800 --> 00:37:20,440 DEPARTMENT OF MEDICINE AND HER 1042 00:37:20,440 --> 00:37:21,080 GOAL IS TO DECREASE READMISSION 1043 00:37:21,080 --> 00:37:25,600 RATES. SHE'S GOING TO DO 1044 00:37:25,600 --> 00:37:26,240 EVERYTHING TO PROVIDE GOOD CARE 1045 00:37:26,240 --> 00:37:26,720 AND SHE'S GOING TO TELL 1046 00:37:26,720 --> 00:37:27,320 RESIDENTS DON'T DISCHARGE MY 1047 00:37:27,320 --> 00:37:29,800 PATIENTS TOO FAST. THE GOAL IS 1048 00:37:29,800 --> 00:37:30,400 TO PREVENT READMISSION RATES 1049 00:37:30,400 --> 00:37:30,960 AND MAKE SURE SHE GETS GOOD 1050 00:37:30,960 --> 00:37:31,320 CARE. 1051 00:37:31,320 --> 00:37:37,000 IN THE FOLLOWING YEAR DR. D 1052 00:37:37,000 --> 00:37:37,640 CISION IS NOW ELECTED AS CHIEF 1053 00:37:37,640 --> 00:37:38,200 FINANCIAL OFFICER FOR THE 1054 00:37:38,200 --> 00:37:38,800 HOSPITAL BECAUSE SHE HAS A LOT 1055 00:37:38,800 --> 00:37:42,200 OF GOOD SKILLS. HER GOAL 1056 00:37:42,200 --> 00:37:42,800 BECOMES TO INCREASE SURGICAL 1057 00:37:42,800 --> 00:37:44,680 BUSES THEY CONVERT TO SURGICAL 1058 00:37:44,680 --> 00:37:47,200 DOLLARS. 1059 00:37:47,200 --> 00:37:47,760 SO WHAT DO YOU THINK SHE IS 1060 00:37:47,760 --> 00:37:50,400 GOING TO DO? SHE'S GOING TO TRY 1061 00:37:50,400 --> 00:37:51,040 TO TELL RESIDENTS HEY GUYS, WE 1062 00:37:51,040 --> 00:37:58,720 NEED TO DISCHARGE PEOPLE FAST. 1063 00:37:58,720 --> 00:37:59,280 SO THE WAY SHE ASKED WILL 1064 00:37:59,280 --> 00:38:01,280 CHANGE BASED ON WHAT HER ROLE 1065 00:38:01,280 --> 00:38:01,800 IS IN HER INSTITUTION OR 1066 00:38:01,800 --> 00:38:02,440 ORGANIZATION AND WHAT HER BOSS 1067 00:38:02,440 --> 00:38:03,040 WANTS HER TO DO AND WHAT YOU 1068 00:38:03,040 --> 00:38:03,880 GET INCENTIVIZED FOR. 1069 00:38:03,880 --> 00:38:07,400 SO UNDERSTANDING YOUR TEAM, 1070 00:38:07,400 --> 00:38:08,000 THEIR INCENTIVES AND WHO THE 1071 00:38:08,000 --> 00:38:08,680 REPORTER AND THE ROLE IS REALLY 1072 00:38:08,680 --> 00:38:12,040 IMPORTANT. 1073 00:38:12,040 --> 00:38:12,600 WHO ARE YOU? WHERE ARE YOU 1074 00:38:12,600 --> 00:38:17,760 FROM? WHERE YOU GOING? SO 1075 00:38:17,760 --> 00:38:18,320 UNDERSTANDING PEOPLE WITHIN 1076 00:38:18,320 --> 00:38:18,920 THEIR OWN JOURNEY WILL REALLY 1077 00:38:18,920 --> 00:38:19,560 HELP YOU GET A TEAM THAT WORKS 1078 00:38:19,560 --> 00:38:22,040 TOGETHER BETTER, BECAUSE YOUR 1079 00:38:22,040 --> 00:38:22,600 TEAM IS NOT ONLY THERE TO 1080 00:38:22,600 --> 00:38:23,120 COMPLETE THE GOAL OF THE 1081 00:38:23,120 --> 00:38:26,120 CONSORTIUM. THEY ARE THERE TO 1082 00:38:26,120 --> 00:38:26,680 HAVE HER OWN ASPIRATIONS. 1083 00:38:26,680 --> 00:38:27,480 ALWAYS DO THESE EXERCISES WITH 1084 00:38:27,480 --> 00:38:34,800 PEOPLE I WORK WITH. 1085 00:38:34,800 --> 00:38:45,280 WHAT DO YOU WANT TO BE IN FIVE 1086 00:38:47,640 --> 00:38:48,200 YEARS? THIS IS A MONKEY SAYING 1087 00:38:48,200 --> 00:38:50,200 BUDDY, I AM JUST TRYING TO MAKE 1088 00:38:50,200 --> 00:39:00,000 IT TO FRIDAY. SO AM ALWAYS 1089 00:39:00,000 --> 00:39:00,640 SURPRISED WHEN I ASK THIS. FOR 1090 00:39:00,640 --> 00:39:02,480 EXAMPLE I WAS WITH MY TEAM AND 1091 00:39:02,480 --> 00:39:03,080 MY CLINICAL TEAM AND I ASKED 1092 00:39:03,080 --> 00:39:03,720 SOMEBODY I WORK WITH I THOUGHT 1093 00:39:03,720 --> 00:39:14,240 THEY WANTED TO BE CLINICIAN AND 1094 00:39:14,560 --> 00:39:15,120 I SENT THEM MORE PATIENTS AND I 1095 00:39:15,120 --> 00:39:15,720 WAS SENDING MORE PATIENTS AND 1096 00:39:15,720 --> 00:39:19,800 THIS PERSON TOLD ME, YOU ARE 1097 00:39:19,800 --> 00:39:20,440 TERRIBLE MANAGER BECAUSE I WAS 1098 00:39:20,440 --> 00:39:21,040 SENDING THE MORE PATIENTS. I 1099 00:39:21,040 --> 00:39:21,640 DID NOT HEAR WHAT THEY WANTED 1100 00:39:21,640 --> 00:39:27,480 TO DO. 1101 00:39:27,480 --> 00:39:28,080 SO REMEMBER THESE ANSWERS WHEN 1102 00:39:28,080 --> 00:39:28,880 ASSIGNING TASKS AND GOALS TO 1103 00:39:28,880 --> 00:39:29,520 MAKE SURE THEY ALIGN WITH WHAT 1104 00:39:29,520 --> 00:39:30,120 YOU TEAM MEMBER WANTS TO DO. 1105 00:39:30,120 --> 00:39:36,760 THIS IS -- PEOPLE ARE 1106 00:39:36,760 --> 00:39:37,280 WONDERFUL, ETHICIST AND 1107 00:39:37,280 --> 00:39:37,880 RESEARCHER WHO WORKS WITH US 1108 00:39:37,880 --> 00:39:38,520 AND HOPEFULLY HE DOES NOT MIND 1109 00:39:38,520 --> 00:39:43,520 ME PUTTING HIS FACE HERE IN THE 1110 00:39:43,520 --> 00:39:44,160 NIH INTERNET BUT THE GOAL IS TO 1111 00:39:44,160 --> 00:39:44,680 ALIGN PERSONAL GOALS WITH 1112 00:39:44,680 --> 00:39:45,440 PROJECT GOALS WHICH WILL BE KEY. 1113 00:39:45,440 --> 00:39:51,440 SO THIS JC-- HE IS A WONDERFUL 1114 00:39:51,440 --> 00:39:52,000 ASSISTANT PROFESSOR AND HIS 1115 00:39:52,000 --> 00:39:54,360 GOALS ARE TO OBTAIN FUNDING AS 1116 00:39:54,360 --> 00:39:55,120 A PI, TO BUILD A NETWORK IN 1117 00:39:55,120 --> 00:39:55,600 ACADEMIA AND TO DEVELOP 1118 00:39:55,600 --> 00:39:59,280 EXPERTISE IN AI ETHICS. 1119 00:39:59,280 --> 00:39:59,840 MY GOAL IS A PI OR LEADER IS 1120 00:39:59,840 --> 00:40:02,880 REALLY TO FIRST OF ALL OPTIMIZE 1121 00:40:02,880 --> 00:40:11,200 HIS FTE, IF I DON'T HE IS GOING 1122 00:40:11,200 --> 00:40:11,880 TO FIND ANOTHER GRANT AND HE IS 1123 00:40:11,880 --> 00:40:12,400 GOOD TO BE PI AND ALL HIS 1124 00:40:12,400 --> 00:40:13,000 EFFORTS WILL GO THERE AND HE 1125 00:40:13,000 --> 00:40:19,160 WILL DELIVER MUCH IN OUR GRANT. 1126 00:40:19,160 --> 00:40:19,680 I WANT TO MAKE SURE THE 1127 00:40:19,680 --> 00:40:20,840 FUNDING GOES IN HIS NAME AND 1128 00:40:20,840 --> 00:40:21,480 GETS ALL THE CREDIT TO FURTHER 1129 00:40:21,480 --> 00:40:22,000 HIS CAREER AND I HAVE TO 1130 00:40:22,000 --> 00:40:22,640 OPTIMIZE INTRODUCTION TO BUILD 1131 00:40:22,640 --> 00:40:23,240 HIS NETWORK THAT IS HIS GOAL 1132 00:40:23,240 --> 00:40:23,880 AND IF I MANAGED TO DO THAT AS 1133 00:40:23,880 --> 00:40:24,480 A TEAM LEAD THAT HE WILL BE 1134 00:40:24,480 --> 00:40:27,680 REALLY HAPPY. HE WILL STAY 1135 00:40:27,680 --> 00:40:28,240 WORKING WITH US AND HE WILL 1136 00:40:28,240 --> 00:40:30,480 FEEL VALUE IN STAYING WITH US 1137 00:40:30,480 --> 00:40:30,920 CONSORTIUM. 1138 00:40:30,920 --> 00:40:34,560 JC, I THINK HE IS LISTENING 1139 00:40:34,560 --> 00:40:36,840 I'M GETTING TEXTS FROM HIM. 1140 00:40:36,840 --> 00:40:39,280 HOPEFULLY WE'RE STILL FRIENDS. 1141 00:40:39,280 --> 00:40:44,240 LESSON THREE. CONDUCTING AN 1142 00:40:44,240 --> 00:40:44,720 EFFICIENT MEETING IS A 1143 00:40:44,720 --> 00:40:45,320 DIFFICULT AND I LEARNED THAT 1144 00:40:45,320 --> 00:40:48,040 THE HARD WAY. WHEN WE STARTED 1145 00:40:48,040 --> 00:40:48,600 WORKING TOGETHER THERE WERE 1146 00:40:48,600 --> 00:40:49,560 MILLIONS AND MILLIONS OF 1147 00:40:49,560 --> 00:40:53,560 MEETINGS; MOST OF US GOT WHAT I 1148 00:40:53,560 --> 00:41:00,600 CALL MEETINGITIS, AN 1149 00:41:00,600 --> 00:41:01,200 INTRACTABLE PROBLEM CAUSED BY 1150 00:41:01,200 --> 00:41:05,120 AN ABUNDANCE OF MEETINGS. I 1151 00:41:05,120 --> 00:41:05,760 TOLD MY RESEARCH ASSISTANT AND 1152 00:41:05,760 --> 00:41:06,360 PROGRAM MANAGER THIS MEETING 1153 00:41:06,360 --> 00:41:10,120 WENT HORRIBLE. WHY? I DID NOT 1154 00:41:10,120 --> 00:41:11,880 EVEN UNDERSTAND. EITHER 1155 00:41:11,880 --> 00:41:12,520 EXAMPLES OF MEETINGS THAT WENT 1156 00:41:12,520 --> 00:41:14,040 PERFECTLY AND OTHERS THAT WERE 1157 00:41:14,040 --> 00:41:14,480 TERRIBLE, A WASTE OF 1158 00:41:14,480 --> 00:41:20,920 EVERYBODY'S TIME. 1159 00:41:20,920 --> 00:41:21,480 I STARTED STUDY WHAT MAKES A 1160 00:41:21,480 --> 00:41:22,080 SUCCESSFUL AND UNSUCCESSFUL 1161 00:41:22,080 --> 00:41:22,960 MEETING, I HAVE NEW RULES. IF A 1162 00:41:22,960 --> 00:41:23,560 MEETING HAS NO AGENDA I DON'T 1163 00:41:23,560 --> 00:41:28,160 GO. OUT TO ALL MY PEOPLE THAT 1164 00:41:28,160 --> 00:41:29,680 THERE IS NO AGENDA DON'T GO OR 1165 00:41:29,680 --> 00:41:30,320 CALL THE PERSON WHO CALLED THE 1166 00:41:30,320 --> 00:41:34,200 MEETING SAY, WHAT IS THE AGENDA? 1167 00:41:34,200 --> 00:41:34,800 OR ELSE I CAN TELL YOU THAT 1168 00:41:34,800 --> 00:41:38,400 NOT A LOT OF THINGS GET DONE 1169 00:41:38,400 --> 00:41:39,160 WITH THE MEETING WITH NO AGENDA. 1170 00:41:39,160 --> 00:41:39,720 I HAVE LEARNED THAT MEETINGS 1171 00:41:39,720 --> 00:41:41,920 HAVE TO HAVE A DEFINED PURPOSE, 1172 00:41:41,920 --> 00:41:42,520 AND AGENDA AND THE PERSON WHO 1173 00:41:42,520 --> 00:41:43,080 CALLS THE MEETING RUNS THE 1174 00:41:43,080 --> 00:41:44,600 MEETING AND THERE HAS TO BE 1175 00:41:44,600 --> 00:41:46,560 ACTION ITEMS AT THE END AND 1176 00:41:46,560 --> 00:41:47,160 SOMEONE BEING RESPONSIBLE FOR 1177 00:41:47,160 --> 00:41:48,680 THESE ACTION ITEMS REALLY MAKES 1178 00:41:48,680 --> 00:41:54,000 A DIFFERENCE. SO IT SEEMS 1179 00:41:54,000 --> 00:41:57,840 SIMPLE, BUT AFTER HAVING MORE 1180 00:41:57,840 --> 00:41:58,400 THAN 12 MEETINGS A WEEK FOR 1181 00:41:58,400 --> 00:42:02,040 THIS CONSORTIUM, THIS IS WHAT I 1182 00:42:02,040 --> 00:42:05,880 DO TO MAKE SURE THINGS GET 1183 00:42:05,880 --> 00:42:06,520 DONE WHAT I TELL ME THING TO DO 1184 00:42:06,520 --> 00:42:07,160 AND I TELL PEOPLE THAT AFTER 10 1185 00:42:07,160 --> 00:42:07,800 MINUTES OF MEETING YOUR WONDER 1186 00:42:07,800 --> 00:42:10,240 WHAT YOU ARE THERE, LOG OFF AND 1187 00:42:10,240 --> 00:42:10,880 TELL PEOPLE NICELY, HEY GUYS I 1188 00:42:10,880 --> 00:42:17,240 HAVE ANOTHER MEETING TO RUN TO. 1189 00:42:17,240 --> 00:42:17,720 EVERYONE'S TIME IS VERY 1190 00:42:17,720 --> 00:42:24,360 VALUABLE. 1191 00:42:24,360 --> 00:42:24,960 STARTING WITH A BLANK PAGE AT 1192 00:42:24,960 --> 00:42:26,280 THE BEGINNING OF THE MEETING I 1193 00:42:26,280 --> 00:42:27,280 LEARNED IS A BAD IDEA. I REALLY 1194 00:42:27,280 --> 00:42:29,440 WANT EVERYONE'S OPINION. HERE 1195 00:42:29,440 --> 00:42:33,960 IS A BLANK PAGE. EVERYBODY GIVE 1196 00:42:33,960 --> 00:42:34,600 YOUR OPINION AND IT LOOKS LIKE 1197 00:42:34,600 --> 00:42:35,280 A GREAT IDEA BUT IN PRACTICE IT 1198 00:42:35,280 --> 00:42:44,120 GOES EVERYWHERE. I HAVE LEARNED 1199 00:42:44,120 --> 00:42:44,760 TO COME IN WITH A 50% COMPLETED 1200 00:42:44,760 --> 00:42:45,400 DOCUMENT, ASK PEOPLE FOR THEIR 1201 00:42:45,400 --> 00:42:45,880 ADVICE, AND BE READY TO 1202 00:42:45,880 --> 00:42:46,480 FINALIZE THE PLAN BUT WE ARE 1203 00:42:46,480 --> 00:42:47,120 TALKING ABOUT IT. THAT IS BEEN 1204 00:42:47,120 --> 00:42:53,120 VERY HELPFUL. 1205 00:42:53,120 --> 00:42:53,680 I HAVE LEARNED THAT MEETING 1206 00:42:53,680 --> 00:42:54,280 ATTENDANCE REFLECTS TRUST, 1207 00:42:54,280 --> 00:42:54,880 EFFICIENCY AND THE FEELING OF 1208 00:42:54,880 --> 00:42:59,280 PURPOSE. THERE WERE SOME OF 1209 00:42:59,280 --> 00:43:01,120 THE MEETINGS WHERE I SAW PEOPLE 1210 00:43:01,120 --> 00:43:01,720 STOP SHOWING UP. I LOOKED AT 1211 00:43:01,720 --> 00:43:02,360 MYSELF AND SAID WELL, SOMETHING 1212 00:43:02,360 --> 00:43:07,200 IS GOING ON. WHY DID THREE OUT 1213 00:43:07,200 --> 00:43:08,600 OF 10 PEOPLE NOT SHOW UP IN MY 1214 00:43:08,600 --> 00:43:11,000 MEETING? WHAT DID I DO WRONG? 1215 00:43:11,000 --> 00:43:16,360 OUR MEETING TOO OFTEN? PROBABLY 1216 00:43:16,360 --> 00:43:16,960 AND MAYBE THE MEETING HAD NO 1217 00:43:16,960 --> 00:43:21,680 PURPOSE IN THE LAST MEETING WAS 1218 00:43:21,680 --> 00:43:22,320 INEFFICIENT; MAYBE I FORGOT TO 1219 00:43:22,320 --> 00:43:22,920 SEND AN INVITE AND THAT IS ON 1220 00:43:22,920 --> 00:43:23,560 ME. OR MAYBE THIS MEETING COULD 1221 00:43:23,560 --> 00:43:26,440 HAVE BEEN AN EMAIL. SO ASKING 1222 00:43:26,440 --> 00:43:27,040 YOUR TEAM ABOUT THE FREQUENCY 1223 00:43:27,040 --> 00:43:28,360 OF MEETINGS IS KEY AND IT SEEMS 1224 00:43:28,360 --> 00:43:34,720 SIMPLE, BUT MEETINGS CAN KILL 1225 00:43:34,720 --> 00:43:35,320 PEOPLE. THERE IS DEATH BY TOO 1226 00:43:35,320 --> 00:43:35,960 MANY MEETINGS. IT EXISTS AND I 1227 00:43:35,960 --> 00:43:40,480 AM A DOCTOR AND I CAN TELL YOU. 1228 00:43:40,480 --> 00:43:41,080 IS REALLY IMPORTANT BECAUSE 1229 00:43:41,080 --> 00:43:41,680 THAT IS WHEN YOU SHOW PEOPLE 1230 00:43:41,680 --> 00:43:42,240 THAT YOU ARE RESPECTFUL OF 1231 00:43:42,240 --> 00:43:46,720 THEIR TIME AND THEIR EXPERTISE. 1232 00:43:46,720 --> 00:43:47,320 SO ONCE A MONTH I WILL AT THE 1233 00:43:47,320 --> 00:43:51,880 END OF THE MEETING ASK, HEY 1234 00:43:51,880 --> 00:43:52,480 GUYS WHAT YOU THINK ABOUT THE 1235 00:43:52,480 --> 00:43:53,080 CADENCE HERE? ARE WE MEETING 1236 00:43:53,080 --> 00:43:53,680 TOO MUCH? TOO LITTLE? AND WE 1237 00:43:53,680 --> 00:43:56,360 ADAPT. 1238 00:43:56,360 --> 00:43:59,080 LESSON FOUR. EMBRACING 1239 00:43:59,080 --> 00:44:01,720 CONFLICT IS BETTER THAN 1240 00:44:01,720 --> 00:44:02,280 AVOIDING THEM. AGAIN I READ 1241 00:44:02,280 --> 00:44:03,760 ABOUT THIS IN TEAM SCIENCE. IT 1242 00:44:03,760 --> 00:44:06,040 IS HARDER TO ACTUALLY DO IT 1243 00:44:06,040 --> 00:44:08,960 WHEN IT IS YOUR PROJECT. ONE OF 1244 00:44:08,960 --> 00:44:10,640 MY BIGGEST REGRETS IS TRYING TO 1245 00:44:10,640 --> 00:44:14,400 AVOID CONFLICT. RIGHT? WHEN I 1246 00:44:14,400 --> 00:44:15,040 STARTED WE WERE TRYING TO AVOID 1247 00:44:15,040 --> 00:44:18,920 CONFLICT. STATUS QUO IS ALWAYS 1248 00:44:18,920 --> 00:44:20,600 EASIER TO HANDLE. BUT THERE IS 1249 00:44:20,600 --> 00:44:21,400 A CONFLICT, THERE IS A REASON 1250 00:44:21,400 --> 00:44:26,200 FOR IT. PEOPLE ARE NOT 1251 00:44:26,200 --> 00:44:26,840 UNDERSTANDING EACH OTHER. MAYBE 1252 00:44:26,840 --> 00:44:28,640 YOU DID NOT EXPLAIN IT 1253 00:44:28,640 --> 00:44:29,160 CORRECTLY. BUT THERE IS 1254 00:44:29,160 --> 00:44:32,680 SOMETHING UNDERNEATH AND 1255 00:44:32,680 --> 00:44:33,240 USUALLY EVERY TIME I TRY TO 1256 00:44:33,240 --> 00:44:42,680 AVOID CONFLICT AND THEN IT 1257 00:44:42,680 --> 00:44:43,320 EXPLODED, THE EXPLOSION WAS A 1258 00:44:43,320 --> 00:44:43,880 CATALYST TO THINGS GETTING 1259 00:44:43,880 --> 00:44:44,520 BETTER. BECAUSE IF THINGS DON'T 1260 00:44:44,520 --> 00:44:45,160 WORK OUT IT IS FOR A REASON. IF 1261 00:44:45,160 --> 00:44:45,760 IT IS NOT WORK OUT YOU ABORT OR 1262 00:44:45,760 --> 00:44:46,400 MOVE ON. MOST OF THE TIME AND 1263 00:44:46,400 --> 00:44:48,960 BRING SOLUTIONS. THAT WAS ONE 1264 00:44:48,960 --> 00:44:49,560 OF MY BIGGEST LESSONS THIS 1265 00:44:49,560 --> 00:44:51,360 YEAR. 1266 00:44:51,360 --> 00:45:00,840 LESSON FIVE. TANGIBLE GOALS 1267 00:45:00,840 --> 00:45:01,400 WITH SHORT TIMELINES MAKE 1268 00:45:01,400 --> 00:45:02,120 PEOPLE HAPPY. ONE OF OUR 1269 00:45:02,120 --> 00:45:04,120 BIGGEST SUCCESSES THIS YEAR WAS 1270 00:45:04,120 --> 00:45:08,480 THE VOICE SYMPOSIUM, AND IT WAS 1271 00:45:08,480 --> 00:45:09,120 SO AMAZINGLY WELL AND I TOLD MY 1272 00:45:09,120 --> 00:45:09,720 PROGRAM OFFICERS THIS WAS THE 1273 00:45:09,720 --> 00:45:19,680 BEST EVER SHOW OF COLLABORATIVE 1274 00:45:19,680 --> 00:45:20,320 RESEARCH, COLLABORATIVE WORK 1275 00:45:20,320 --> 00:45:20,960 AND EVERYBODY CAME TOGETHER AND 1276 00:45:20,960 --> 00:45:21,600 PUT IN THEIR WORK. THEY WERE SO 1277 00:45:21,600 --> 00:45:22,240 HAPPY. THEY SHARED OWNERSHIP OF 1278 00:45:22,240 --> 00:45:29,400 THE PROJECT ARE -- AND I ASKED 1279 00:45:29,400 --> 00:45:30,040 MYSELF WHY DID HE GO SO WELL? 1280 00:45:30,040 --> 00:45:40,600 WHEN THINGS GO WRONG IS 1281 00:45:40,600 --> 00:45:41,120 IMPORTANT BUT WHEN THINGS GO 1282 00:45:41,120 --> 00:45:42,200 WELL IT IS IMPORTANT TO LOOK 1283 00:45:42,200 --> 00:45:42,800 BACK. IT WAS A SHORT TIMELINE 1284 00:45:42,800 --> 00:45:43,440 AND IT WAS A TANGIBLE PRODUCT, 1285 00:45:43,440 --> 00:45:45,920 PEOPLE COULD SEE AN EVENT AT 1286 00:45:45,920 --> 00:45:46,400 THE END AND THEY HAD 1287 00:45:46,400 --> 00:45:47,000 COOWNERSHIP OF THE WORK AND 1288 00:45:47,000 --> 00:45:52,320 THEY WERE HAPPY TO DO THAT. 1289 00:45:52,320 --> 00:45:52,840 EVEN IF YOUR PROJECT HAS 1290 00:45:52,840 --> 00:45:54,040 LONG-TERM GOALS, TRY TO DIVIDE 1291 00:45:54,040 --> 00:45:54,640 THEM IN SHORTER TIMELINES AND 1292 00:45:54,640 --> 00:45:56,960 CELEBRATE EVERY TIME THERE IS A 1293 00:45:56,960 --> 00:45:57,560 AN ACCOMPLISHMENT BECAUSE IT 1294 00:45:57,560 --> 00:46:00,240 MAKES PEOPLE SO HAPPY. 1295 00:46:00,240 --> 00:46:05,560 QUICK LESSON SIX. NOT EVERYONE 1296 00:46:05,560 --> 00:46:06,200 IS EQUAL FROM A TASK OWNERSHIP 1297 00:46:06,200 --> 00:46:06,800 PERSPECTIVE AND WHEN WE HAVE 1298 00:46:06,800 --> 00:46:08,880 LOTS OF LEADERSHIP IN THE SAME 1299 00:46:08,880 --> 00:46:09,520 TEAM, IT CAN BE DETRIMENTAL SO 1300 00:46:09,520 --> 00:46:15,720 I HAVE LEARNED THAT ONE TASK 1301 00:46:15,720 --> 00:46:18,160 BELONGS TO ONE PERSON. YOU CAN 1302 00:46:18,160 --> 00:46:19,160 HAVE HELPERS. BUT YOU CANNOT 1303 00:46:19,160 --> 00:46:19,800 HAVE FIVE PEOPLE IN CHARGE ONE 1304 00:46:19,800 --> 00:46:25,480 TEST BECAUSE IT DOES NOT GET 1305 00:46:25,480 --> 00:46:26,120 DONE; AND YOU WOULD THINK THAT 1306 00:46:26,120 --> 00:46:26,720 ADULTS AT MY AGE WITH NOTICE 1307 00:46:26,720 --> 00:46:29,080 BUT I DIDN'T, SO THIS WAS THE 1308 00:46:29,080 --> 00:46:29,720 LESSON SOMETHING THAT I WATCHED 1309 00:46:29,720 --> 00:46:30,440 HAPPEN IN OTHER GROUPS THAT I 1310 00:46:30,440 --> 00:46:31,000 AM PART OF WHERE I SEE THAT 1311 00:46:31,000 --> 00:46:34,920 THINGS DON'T WORK OUT BECAUSE 1312 00:46:34,920 --> 00:46:35,520 TOO MANY PEOPLE ARE IN CHARGE 1313 00:46:35,520 --> 00:46:37,440 OF THE SAME THING. SO LEARNING 1314 00:46:37,440 --> 00:46:38,080 TO HAVE ONE PERSON ACCOUNTABLE 1315 00:46:38,080 --> 00:46:38,640 FOR ONE TASK HELPS TO GET 1316 00:46:38,640 --> 00:46:40,600 THINGS DONE. 1317 00:46:40,600 --> 00:46:41,160 LESSON SEVEN. THAT IS A GOOD 1318 00:46:41,160 --> 00:46:46,080 ONE. INCOMPETENCE SHOULD BE THE 1319 00:46:46,080 --> 00:46:46,680 LAST ANSWER WHEN ASKING WHY A 1320 00:46:46,680 --> 00:46:53,120 TASK IS NOT DONE. 1321 00:46:53,120 --> 00:46:53,600 IF YOU HAVE EVER BEEN IN 1322 00:46:53,600 --> 00:46:54,160 MANAGEMENT SOMETIMES THINGS 1323 00:46:54,160 --> 00:46:54,800 DON'T GET DONE. IT GET YOU VERY 1324 00:46:54,800 --> 00:46:55,400 FRUSTRATED. AND I THINK THAT 1325 00:46:55,400 --> 00:46:57,240 THE FIRST THING THAT YOU THINK 1326 00:46:57,240 --> 00:47:03,480 ABOUT IF YOU DON'T SAY A LOT 1327 00:47:03,480 --> 00:47:04,080 IS, OH MY GOD THIS PERSON IS 1328 00:47:04,080 --> 00:47:04,680 INCOMPETENT THIS SHOULD HAVE 1329 00:47:04,680 --> 00:47:09,160 BEEN DONE ON TIME. WHAT I HAVE 1330 00:47:09,160 --> 00:47:09,800 LEARNED IS THAT THERE ARE TONS 1331 00:47:09,800 --> 00:47:10,400 OF OTHER REASONS WHY TASKS ARE 1332 00:47:10,400 --> 00:47:11,040 NOT COMPLETED AND INCOMPETENCE 1333 00:47:11,040 --> 00:47:16,600 IS ONE OF THE LAST ONES. 1334 00:47:16,600 --> 00:47:17,120 I HAVE LEARNED TO STOP AND 1335 00:47:17,120 --> 00:47:18,320 THINK WHY ISN'T IT BEING DONE? 1336 00:47:18,320 --> 00:47:24,200 NOT TOO MUCH TIME? MAYBE IT IS 1337 00:47:24,200 --> 00:47:24,760 NOT CLEAR, MAYBE IT IS NOT 1338 00:47:24,760 --> 00:47:30,000 DOABLE OR IS UNREASONABLE. 1339 00:47:30,000 --> 00:47:30,600 MAYBE THE TEAM DOES NOT HAVE 1340 00:47:30,600 --> 00:47:31,200 RESOURCES OR THEY DON'T AGREE 1341 00:47:31,200 --> 00:47:31,800 WITH THE TAX COURT THEY DON'T 1342 00:47:31,800 --> 00:47:35,920 HAVE OWNERSHIP OF THE TASK OR 1343 00:47:35,920 --> 00:47:36,560 MAYBE THEY HAVE OTHER COMPETING 1344 00:47:36,560 --> 00:47:37,640 TASKS WITH BETTER INCENTIVE 1345 00:47:37,640 --> 00:47:38,200 THAN WHAT I AM GIVING THEM. 1346 00:47:38,200 --> 00:47:38,800 MAYBE THEY DO NOT HAVE THE 1347 00:47:38,800 --> 00:47:39,920 SKILL SET AND SOMEBODY ELSE 1348 00:47:39,920 --> 00:47:41,600 WILL BE BETTER AND AT THE LAST, 1349 00:47:41,600 --> 00:47:47,160 LAST OPTION, INCOMPETENCE IS A 1350 00:47:47,160 --> 00:47:47,760 POSSIBILITY BUT USUALLY NEVER 1351 00:47:47,760 --> 00:47:53,240 THE CASE. YOU CHOOSE PEOPLE TO 1352 00:47:53,240 --> 00:47:53,800 WORK WITH BECAUSE THEY ARE 1353 00:47:53,800 --> 00:47:56,160 AMAZING PEOPLE. SO REALLY THE 1354 00:47:56,160 --> 00:47:56,720 LEADERSHIP IS KEY AND IF 1355 00:47:56,720 --> 00:47:57,320 SOMETHING DOES NOT GET DONE THE 1356 00:47:57,320 --> 00:48:02,640 WAY YOU WANT IT TO BE DONE, 1357 00:48:02,640 --> 00:48:03,280 LOOK AT YOURSELF AND TRY TO SEE 1358 00:48:03,280 --> 00:48:03,760 WHAT YOU COULD'VE DONE 1359 00:48:03,760 --> 00:48:06,080 DIFFERENTLY TO MAKE THIS WORK, 1360 00:48:06,080 --> 00:48:06,640 OR TO GET THE RESOURCES TO 1361 00:48:06,640 --> 00:48:09,000 PEOPLE TO MAKE THIS WORK BETTER. 1362 00:48:09,000 --> 00:48:09,600 THAT WAS ONE OF MY BIGGEST 1363 00:48:09,600 --> 00:48:15,720 LESSONS THIS YEAR. 1364 00:48:15,720 --> 00:48:18,960 LESSON NUMBER EIGHT. THIS IS 1365 00:48:18,960 --> 00:48:22,240 IN FRENCH FOR THOSE WHO 1366 00:48:22,240 --> 00:48:27,080 UNDERSTAND. I TRIED TO GOOGLE 1367 00:48:27,080 --> 00:48:27,680 TRANSLATE. IT MEANS THE GAME 1368 00:48:27,680 --> 00:48:28,280 HAS TO BE WORTH THE CANDLE, 1369 00:48:28,280 --> 00:48:30,800 PROBABLY NOT THE SAME 1370 00:48:30,800 --> 00:48:31,440 EXPRESSION, BUT REALLY THE WORK 1371 00:48:31,440 --> 00:48:32,080 THAT YOU PUT IN HAS TO BE WORTH 1372 00:48:32,080 --> 00:48:33,440 THE REWARDS. YOU CAN'T EXPECT 1373 00:48:33,440 --> 00:48:37,960 PEOPLE ON YOUR PROJECT WITH 5% 1374 00:48:37,960 --> 00:48:38,560 FTE TO GIVE 100% OF THE TIME 1375 00:48:38,560 --> 00:48:42,400 AND EFFORT TO THE PROJECT. IT 1376 00:48:42,400 --> 00:48:43,000 IS IMPOSSIBLE TO WHAT I HAVE 1377 00:48:43,000 --> 00:48:44,720 LEARNED IS WHEN YOU BUILD YOUR 1378 00:48:44,720 --> 00:48:45,320 GRANT, OR WHEN YOU BUILD YOUR 1379 00:48:45,320 --> 00:48:50,600 PROJECT OR YOUR CONSORTIUM, IS 1380 00:48:50,600 --> 00:48:51,160 ALWAYS BETTER TO HAVE LESS 1381 00:48:51,160 --> 00:48:54,040 PEOPLE WITH MORE FTE THAN A LOT 1382 00:48:54,040 --> 00:48:56,000 OF PEOPLE WITH SMALL FTE 1383 00:48:56,000 --> 00:48:56,600 BECAUSE IT IS REALLY HARD TO 1384 00:48:56,600 --> 00:49:01,280 GET THEIR ATTENTION IF THEY 1385 00:49:01,280 --> 00:49:01,880 HAVE 95% EFFORT DOING SOMETHING 1386 00:49:01,880 --> 00:49:02,520 ELSE THEY WON'T SPEND THE TIME 1387 00:49:02,520 --> 00:49:04,960 ON THE PROJECT. THAT IS REALLY 1388 00:49:04,960 --> 00:49:05,520 NOT WHAT YOU WANT FOR THE 1389 00:49:05,520 --> 00:49:10,360 SUCCESS OF THE PROJECT. AND 1390 00:49:10,360 --> 00:49:10,960 YOU HAVE TO THINK ABOUT THERE 1391 00:49:10,960 --> 00:49:14,160 HAS TO BE OTHER INCENTIVES THAN 1392 00:49:14,160 --> 00:49:14,760 THE FTE PERCENTAGE, FOR THEM TO 1393 00:49:14,760 --> 00:49:15,400 WANT TO PARTICIPATE IN WHAT YOU 1394 00:49:15,400 --> 00:49:16,400 BUILT TOGETHER. 1395 00:49:16,400 --> 00:49:18,760 LESSON NINE. WE ARE ALMOST AT 1396 00:49:18,760 --> 00:49:25,120 10. CLARITY IS AN UNDERRATED 1397 00:49:25,120 --> 00:49:26,400 CONCEPT. LARGE INSTRUCTIONS 1398 00:49:26,400 --> 00:49:30,080 WILL INEVITABLY LEAD TO LOTS OF 1399 00:49:30,080 --> 00:49:30,720 CONFUSION, AND WE ARE ALL SMART 1400 00:49:30,720 --> 00:49:32,880 PEOPLE AND WE ARE ALL ACADEMICS. 1401 00:49:32,880 --> 00:49:34,680 BUT IT GETS REALLY 1402 00:49:34,680 --> 00:49:35,280 COMPLICATED. AND LEADERS NEED 1403 00:49:35,280 --> 00:49:40,400 TO PROVIDE CLARITY. WHAT ARE WE 1404 00:49:40,400 --> 00:49:41,040 EXPECTING FROM EACH TEAM? GIVE 1405 00:49:41,040 --> 00:49:51,560 A MAXIMUM OF THREE GOALS PER 1406 00:49:59,200 --> 00:49:59,760 PERSON, WHAT IS THE STRUCTURE? 1407 00:49:59,760 --> 00:50:02,040 WHAT IS THE MISSION AND VISION? 1408 00:50:02,040 --> 00:50:02,600 IN MY LEADERSHIP CLASS ON 1409 00:50:02,600 --> 00:50:03,240 MASTERS, THAT GIVES A TASK AND 1410 00:50:03,240 --> 00:50:06,840 IT IS HARD TO GET MIXED UP AND 1411 00:50:06,840 --> 00:50:14,520 NOT GET TO THE END GOAL. 1412 00:50:14,520 --> 00:50:15,120 REPETITION IS ALSO UNDERRATED 1413 00:50:15,120 --> 00:50:15,680 AND IT IS A FIRST COUSIN OF 1414 00:50:15,680 --> 00:50:16,200 CLARITY. YOU HAVE TO KEEP 1415 00:50:16,200 --> 00:50:16,840 REPEATING THINGS, AGAIN WE ARE 1416 00:50:16,840 --> 00:50:19,760 ALL ACADEMICS, BUT SOMETIMES IT 1417 00:50:19,760 --> 00:50:20,400 GETS CONFUSING SO REPEATING THE 1418 00:50:20,400 --> 00:50:21,240 SAME THING MAKES A DIFFERENCE. 1419 00:50:21,240 --> 00:50:25,000 LESSON 10. CHECK IN WITH YOUR 1420 00:50:25,000 --> 00:50:26,880 TEAM OFTEN FORMALLY AND 1421 00:50:26,880 --> 00:50:27,400 INFORMALLY. THIS ARE TWO 1422 00:50:27,400 --> 00:50:28,040 EXAMPLES OF THIS IS MY IPHONE 1423 00:50:28,040 --> 00:50:34,320 HERE. AND ALL THE RED ARE 1424 00:50:34,320 --> 00:50:34,960 PEOPLE FROM OUR CONSORTIUM FROM 1425 00:50:34,960 --> 00:50:35,560 OUR TEAM SO WE SPEAK ALL THE 1426 00:50:35,560 --> 00:50:40,400 TIME. WE CHAT, WE TALK, 1427 00:50:40,400 --> 00:50:43,520 WHETHER PERSONAL OR WORK. THAT 1428 00:50:43,520 --> 00:50:44,120 IS REALLY IMPORTANT TO CHAINS 1429 00:50:44,120 --> 00:50:49,920 OF EMAILS ARE REALLY, REALLY 1430 00:50:49,920 --> 00:50:50,520 DIFFICULT FOR A LOT OF OTHER 1431 00:50:50,520 --> 00:50:54,560 POLITE WORDS. WE ARE HUMANS NOT 1432 00:50:54,560 --> 00:50:57,720 REPLACED BY ROPES FROM AI YET, 1433 00:50:57,720 --> 00:50:58,320 SO THAT IS IMPORTANT TO CHECK 1434 00:50:58,320 --> 00:50:58,920 IN WITH YOUR TEAM AND SEE HOW 1435 00:50:58,920 --> 00:50:59,520 THEY ARE DOING AND HOW HAPPY 1436 00:50:59,520 --> 00:51:00,080 THEY ARE TO BE PART OF THE 1437 00:51:00,080 --> 00:51:03,520 PROJECT. ARE THE STILL HAPPY? 1438 00:51:03,520 --> 00:51:04,040 ARE THEY THINKING ABOUT 1439 00:51:04,040 --> 00:51:05,640 QUITTING? WHY? 1440 00:51:05,640 --> 00:51:06,200 AND THAT IS ALWAYS REALLY 1441 00:51:06,200 --> 00:51:08,960 EYE-OPENING AND INFORMALLY, WE 1442 00:51:08,960 --> 00:51:10,240 DID THIS YEAR A FIRST SURVEY TO 1443 00:51:10,240 --> 00:51:12,280 THE TEAM, AND ASKING PEOPLE TO 1444 00:51:12,280 --> 00:51:12,760 ANSWER WITH ANONYMOUS 1445 00:51:12,760 --> 00:51:17,880 INFORMATION. AND IT WAS REALLY 1446 00:51:17,880 --> 00:51:18,520 FASCINATING EVEN FOR ME TO GET 1447 00:51:18,520 --> 00:51:20,320 THE ANSWER SO HERE YOU CAN SEE 1448 00:51:20,320 --> 00:51:23,480 THAT 61% OF PEOPLE FROM OUR 1449 00:51:23,480 --> 00:51:24,120 OUR TEAMS THAT I AM HAPPY WITH 1450 00:51:24,120 --> 00:51:33,800 HER CURRENT ROLE AND BUDGET FTE 1451 00:51:33,800 --> 00:51:34,400 AND 39% SAID I WANT TO GET MORE 1452 00:51:34,400 --> 00:51:34,920 INVOLVED AND TAKE MORE 1453 00:51:34,920 --> 00:51:35,440 RESPONSIBILITY WITHIN THE 1454 00:51:35,440 --> 00:51:38,200 PROJECT AND NO ONE WANTED TO 1455 00:51:38,200 --> 00:51:38,840 STOP THE PROJECT TO REDUCE THE 1456 00:51:38,840 --> 00:51:39,440 EFFORTS OF SOMETIMES THERE ARE 1457 00:51:39,440 --> 00:51:41,080 CHALLENGES AND IT CAN BE 1458 00:51:41,080 --> 00:51:41,680 FRUSTRATING BUT KNOWING THAT 1459 00:51:41,680 --> 00:51:42,280 YOU PEOPLE STILL WANT TO WORK 1460 00:51:42,280 --> 00:51:44,480 ON THE PROJECT IS REALLY 1461 00:51:44,480 --> 00:51:45,080 VALIDATING AND IT IS VERY 1462 00:51:45,080 --> 00:51:51,560 HELPFUL. SOMETIMES NOT AS GOOD 1463 00:51:51,560 --> 00:51:54,040 OF AN ANSWER BUT YOU KNOW THE 1464 00:51:54,040 --> 00:51:57,080 DATA IS IMPORTANT. 1465 00:51:57,080 --> 00:51:57,640 IN CONCLUSION COLLABORATIVE 1466 00:51:57,640 --> 00:51:58,280 RESEARCH IS CHALLENGING. LARGE 1467 00:51:58,280 --> 00:52:01,480 CONSTRUCTIONS WILL TAKE MORE 1468 00:52:01,480 --> 00:52:02,080 TIME TO ACHIEVE DELIVERABLES 1469 00:52:02,080 --> 00:52:09,520 AND SINGLE TEAMS AND 1470 00:52:09,520 --> 00:52:10,160 CONSORTIUMS HAVE THE POTENTIAL 1471 00:52:10,160 --> 00:52:20,640 OF ACHIEVING HIGH IMPACT. 1472 00:52:21,800 --> 00:52:22,320 THERE IS A REASON WHY NOBODY 1473 00:52:22,320 --> 00:52:22,920 TRIED TO BUILD A LARGE META 1474 00:52:22,920 --> 00:52:23,560 DATABASE OF HUMAN VOICES BEFORE 1475 00:52:23,560 --> 00:52:27,600 BECAUSE IT IS REALLY HARD. IT 1476 00:52:27,600 --> 00:52:28,160 TAKES ABOUT SIX MONTHS TO A 1477 00:52:28,160 --> 00:52:30,120 YEAR FOR LARGE CONSTRUCTIONS TO 1478 00:52:30,120 --> 00:52:31,520 LEARN TO WORK TOGETHER, BUT THE 1479 00:52:31,520 --> 00:52:32,080 TIME INVESTED IS WORTH THE 1480 00:52:32,080 --> 00:52:32,640 GOALS THAT YOU CAN ACHIEVE 1481 00:52:32,640 --> 00:52:37,400 COMPARED TWOS SILOED WORK. 1482 00:52:37,400 --> 00:52:38,000 COLLABORATIVE RESEARCH IS WAY 1483 00:52:38,000 --> 00:52:40,600 MORE DIFFICULT THAN INDIVIDUAL 1484 00:52:40,600 --> 00:52:41,200 RESEARCH AND A CALL TO ACTION 1485 00:52:41,200 --> 00:52:45,160 TO THE NIH WHICH DOES A LOT IT 1486 00:52:45,160 --> 00:52:45,800 REALLY NEED TO INVEST IN TIME, 1487 00:52:45,800 --> 00:52:46,360 INFRASTRUCTURE, FUNDING OF 1488 00:52:46,360 --> 00:52:48,960 COLLABORATIVE RESEARCH BECAUSE 1489 00:52:48,960 --> 00:52:49,560 IT TAKES MORE EFFORT. BUT THE 1490 00:52:49,560 --> 00:52:52,720 POTENTIAL IS SO MUCH BIGGER. 1491 00:52:52,720 --> 00:52:53,280 AND I'M GOING TO CONCLUDE ON 1492 00:52:53,280 --> 00:52:56,040 THESE BEAUTIFUL PICTURES. AND 1493 00:52:56,040 --> 00:52:56,680 SEE WHAT KIND OF EMOTIONS THEY 1494 00:52:56,680 --> 00:53:01,920 BRING IN YOU. DESPITE THE 1495 00:53:01,920 --> 00:53:02,520 CHALLENGES, THE JOY AND MAGIC 1496 00:53:02,520 --> 00:53:03,120 OF ACHIEVING A GOAL IS A GROUP 1497 00:53:03,120 --> 00:53:06,000 REALLY DEFINES HUMAN NATURE. 1498 00:53:06,000 --> 00:53:06,560 WHEN I LOOK AT THESE TWO 1499 00:53:06,560 --> 00:53:08,800 PICTURES, OF COURSE I HAVE JOY 1500 00:53:08,800 --> 00:53:12,280 WATCHING THOSE TWO. I HAVE A 1501 00:53:12,280 --> 00:53:13,600 LOT MORE EMOTIONS AND JOY 1502 00:53:13,600 --> 00:53:19,840 WATCHING THE TEAM WINNING THE 1503 00:53:19,840 --> 00:53:20,480 FIFA CUP AND IS ALSO THE FRENCH 1504 00:53:20,480 --> 00:53:21,120 THINGS WOULD MAKE ME VERY 1505 00:53:21,120 --> 00:53:21,760 HAPPY, SO SEEING A TEAM ACHIEVE 1506 00:53:21,760 --> 00:53:30,560 A GOAL TOGETHER AND WIN 1507 00:53:30,560 --> 00:53:31,200 TOGETHER REALLY DEFINES WHO WE 1508 00:53:31,200 --> 00:53:32,880 ARE AS HUMANS AND NOT AS ROBOTS 1509 00:53:32,880 --> 00:53:34,760 AND HOPE TO BE ABLE TO CONTINUE 1510 00:53:34,760 --> 00:53:35,360 WORKING WITH MY TEAM ON THIS 1511 00:53:35,360 --> 00:53:35,920 GREAT PROJECT AND HOPEFULLY 1512 00:53:35,920 --> 00:53:36,560 MORE COLLABORATIVE PROJECTS IN 1513 00:53:36,560 --> 00:53:37,560 THE FUTURE. I THINK WE HAVE 1514 00:53:37,560 --> 00:53:38,960 FIVE MINUTES FOR QUESTIONS. 1515 00:53:38,960 --> 00:53:40,160 THANK YOU SO MUCH. 1516 00:53:40,160 --> 00:53:43,200 >>DR. WOOD: AWESOME JOBS THANK 1517 00:53:43,200 --> 00:53:48,080 YOU SO MUCH YAEL. JOCELYN? 1518 00:53:48,080 --> 00:53:50,640 >>JOCELYNE: REPRESENTATIONS 1519 00:53:50,640 --> 00:53:53,960 AND SO MUCH. REALLY NICE JOB 1520 00:53:53,960 --> 00:53:55,080 TEACHING US ABOUT LEADERSHIP 1521 00:53:55,080 --> 00:53:58,720 ROLES AND REALLY INTERESTING. 1522 00:53:58,720 --> 00:53:59,560 THANK YOU. 1523 00:53:59,560 --> 00:54:04,120 >>DR. WOOD: FEEL FREE TO 1524 00:54:04,120 --> 00:54:04,760 UNMUTE AND ASK QUESTIONS OR PUT 1525 00:54:04,760 --> 00:54:11,120 THEM IN THE CHAT BOX. FEEL FREE. 1526 00:54:11,120 --> 00:54:11,720 I FOUND IT FASCINATING WHILE 1527 00:54:11,720 --> 00:54:14,160 WE ARE WAITING, YOU GLOSSED 1528 00:54:14,160 --> 00:54:19,240 OVER IT BUT YOUR UNIFICATION 1529 00:54:19,240 --> 00:54:21,000 THREAD IS BEING A SINGER IN THE 1530 00:54:21,000 --> 00:54:26,920 PAST AND YOUR LOVE OF MUSIC. 1531 00:54:26,920 --> 00:54:27,560 AND SPEECH PATHOLOGY IS MAY BE 1532 00:54:27,560 --> 00:54:28,200 DIFFERENTLY TRAINED APPRECIATOR 1533 00:54:28,200 --> 00:54:36,360 OF SOUND. SO THOSE OBVIOUSLY -- 1534 00:54:36,360 --> 00:54:36,920 IS IT KINDA RANDOM THAT YOU 1535 00:54:36,920 --> 00:54:38,280 ENDED UP WITH ALL YOUR PASSIONS 1536 00:54:38,280 --> 00:54:41,120 AROUND YOU? OR BECAUSE YOU ARE 1537 00:54:41,120 --> 00:54:41,720 EMBODYING SOME OF THE THINGS 1538 00:54:41,720 --> 00:54:44,360 YOU SHARED WITH US TODAY? IN 1539 00:54:44,360 --> 00:54:44,960 BRINGING THOSE THINGS THAT YOU 1540 00:54:44,960 --> 00:54:46,640 CARE ABOUT THAT BRING SOMETHING 1541 00:54:46,640 --> 00:54:49,720 SPECIAL OUT IN YOU, BRINGING 1542 00:54:49,720 --> 00:54:50,280 THEM CLOSER TO YOU AND YOUR 1543 00:54:50,280 --> 00:54:51,400 DECISIONS MATCH THAT. COULD YOU 1544 00:54:51,400 --> 00:54:52,360 SHARE A LITTLE BIT ABOUT THAT? 1545 00:54:52,360 --> 00:54:58,360 >>DR. BENSOUSSAN: OF COURSE I 1546 00:54:58,360 --> 00:54:59,000 THINK I'M REALLY LUCKY BECAUSE 1547 00:54:59,000 --> 00:54:59,840 THE PASSION I THINK IS REALLY 1548 00:54:59,840 --> 00:55:00,440 THAT THE FIRST STEP-- I'VE 1549 00:55:00,440 --> 00:55:01,040 ALWAYS BEEN PASSIONATE ABOUT 1550 00:55:01,040 --> 00:55:07,560 VOICE. I AM REALLY GOOD AT 1551 00:55:07,560 --> 00:55:08,680 TALKING ABOUT MY PASSION AND 1552 00:55:08,680 --> 00:55:10,240 SHARING MY PASSION; AND I THINK 1553 00:55:10,240 --> 00:55:10,880 THAT IS PROBABLY WHAT ATTRACTS 1554 00:55:10,880 --> 00:55:21,400 PEOPLE. WHEN I PUT THE 1555 00:55:21,400 --> 00:55:21,920 CONSORTIUM TOGETHER I WAS A 1556 00:55:21,920 --> 00:55:22,520 FELLOW STARTED MY JOB AS AN 1557 00:55:22,520 --> 00:55:23,120 ASSISTANT PROFESSOR AND I HAD 1558 00:55:23,120 --> 00:55:23,640 TO CONVINCE PEOPLE REALLY 1559 00:55:23,640 --> 00:55:24,800 COOLER THAN ME TO JOIN MY TEAM. 1560 00:55:24,800 --> 00:55:25,320 BECAUSE I HAD A PASSION 1561 00:55:25,320 --> 00:55:32,440 BRINGING FOR MY SINGING BACKER 1562 00:55:32,440 --> 00:55:32,960 AND MY SPEECH PATHOLOGY 1563 00:55:32,960 --> 00:55:33,560 BACKGROUND I THINK PEOPLE CAN 1564 00:55:33,560 --> 00:55:37,880 FEEL THAT. PEOPLE TRUST YOU 1565 00:55:37,880 --> 00:55:38,480 BLINDLY BUT I THINK PEOPLE 1566 00:55:38,480 --> 00:55:39,280 TRUST OTHER PEOPLE THAT ARE 1567 00:55:39,280 --> 00:55:39,920 PASSIONATE. THAT IS KIND OF MY 1568 00:55:39,920 --> 00:55:43,480 BASIC INCENTIVE. I THINK I WAS 1569 00:55:43,480 --> 00:55:44,760 LUCKY TO BE ABLE TO BRING ALL 1570 00:55:44,760 --> 00:55:45,400 THAT TOGETHER AND PROBABLY THAT 1571 00:55:45,400 --> 00:55:46,160 IS WHY PEOPLE DECIDED TO JOIN. 1572 00:55:46,160 --> 00:55:50,760 >>DR. WOOD: THAT IS COOL AND I 1573 00:55:50,760 --> 00:55:51,360 THINK YOU ARE LUCKY THAT YOU 1574 00:55:51,360 --> 00:55:53,960 HAVE THAT COMMON THREAD, AND 1575 00:55:53,960 --> 00:55:55,720 YOU ARE ENDING UP IN THE PLACE 1576 00:55:55,720 --> 00:55:56,360 PROFESSIONALLY THAT UNITES ALL 1577 00:55:56,360 --> 00:55:59,480 OF THOSE PASSIONS. WE HAD ONE 1578 00:55:59,480 --> 00:56:02,640 OF OUR FELLOWS WHO IS IN A BAND 1579 00:56:02,640 --> 00:56:13,160 -- THEY'RE ON SPOTIFY. HE HE 1580 00:56:15,120 --> 00:56:15,680 IS REALLY AN AMAZING MUSICIAN 1581 00:56:15,680 --> 00:56:16,280 AND PASSIONATE BUT HE DOES. WE 1582 00:56:16,280 --> 00:56:16,840 HAD THIS LITTLE AUDIO AR 1583 00:56:16,840 --> 00:56:17,440 PROJECT THAT HE AND JAMES -- 1584 00:56:17,440 --> 00:56:21,520 DID, HE BROUGHT A REAL 1585 00:56:21,520 --> 00:56:24,400 APPRECIATION OF AUDIO. HE HAD 1586 00:56:24,400 --> 00:56:34,920 SPECIAL KNOWLEDGE AND HOW TO 1587 00:56:37,200 --> 00:56:37,720 SPLICE AND DICE AND AUGMENTED 1588 00:56:37,720 --> 00:56:38,320 DATA FOR SOCIAL MEDIA AND IT 1589 00:56:38,320 --> 00:56:38,880 WAS VERY COOL TO SEE HIM IN 1590 00:56:38,880 --> 00:56:42,520 THAT ROLE. EVERYBODY STRIVES 1591 00:56:42,520 --> 00:56:43,160 TO WHERE YOU ARE AND SOME OF US 1592 00:56:43,160 --> 00:56:44,680 MAY NOT GO THROUGH IT IS 1593 00:56:44,680 --> 00:56:45,240 OBVIOUSLY IN TUNE WITH OUR 1594 00:56:45,240 --> 00:56:47,680 PASSIONS. WE SPENT A LOT OF 1595 00:56:47,680 --> 00:56:51,520 TIME NUMB GOING THROUGH OUR 1596 00:56:51,520 --> 00:56:52,080 DAY-TO-DAY PROCESSES AND 1597 00:56:52,080 --> 00:56:53,840 DECISIONS AND OFTEN DON'T 1598 00:56:53,840 --> 00:56:55,200 ALWAYS UNITE OUR CONSCIOUS 1599 00:56:55,200 --> 00:56:55,760 DECISIONS WITH WHAT WE ARE 1600 00:56:55,760 --> 00:56:58,400 PASSIONATE ABOUT. KUDOS TO YOU 1601 00:56:58,400 --> 00:57:01,600 FOR WHERE YOU ARE. 1602 00:57:01,600 --> 00:57:03,400 ANY OTHER QUESTIONS FROM THE 1603 00:57:03,400 --> 00:57:03,960 CROWD? IN A FEW MINUTES 1604 00:57:03,960 --> 00:57:04,920 REMAINING. 1605 00:57:04,920 --> 00:57:12,160 >>DR. WOOD: I WILL ANSWER YOUR 1606 00:57:12,160 --> 00:57:12,680 COMMENT. MY MOM RAISED ME 1607 00:57:12,680 --> 00:57:14,040 SAYING YOU NEED TO HAVE TWO 1608 00:57:14,040 --> 00:57:15,080 JOBS: ONE BRINGS MONEY, AND ONE 1609 00:57:15,080 --> 00:57:15,600 THAT YOU LOVE AND YOUR 1610 00:57:15,600 --> 00:57:20,680 PASSIONATE ABOUT. AND IF YOU 1611 00:57:20,680 --> 00:57:21,320 HAVE TWO JOBS THAT IS FINE. IF 1612 00:57:21,320 --> 00:57:21,960 YOU CAN MAKE THOSE TWO INTO ONE 1613 00:57:21,960 --> 00:57:22,600 JOB YOU ARE REALLY LUCKY BUT IF 1614 00:57:22,600 --> 00:57:23,320 NOT YOU WILL HAVE TWO JOBS. 1615 00:57:23,320 --> 00:57:27,240 >>DR. WOOD: YOU TALKED ABOUT 1616 00:57:27,240 --> 00:57:29,520 COMPANY VERSUS ACADEMIC 1617 00:57:29,520 --> 00:57:30,080 APPROACHES AND NOT MAKING 1618 00:57:30,080 --> 00:57:34,040 JUDGMENT CALLS ON ANYTHING BUT 1619 00:57:34,040 --> 00:57:42,560 THE LITMUS TEST FOR ME FROM 1620 00:57:42,560 --> 00:57:43,080 PARENTAL AND GRANDPARENT 1621 00:57:43,080 --> 00:57:44,160 GUIDANCE IF YOU WAKE UP IN THE 1622 00:57:44,160 --> 00:57:44,800 MORNING AND YOU ARE EXCITED TO 1623 00:57:44,800 --> 00:57:55,000 DO WHATEVER YOU'RE GOING TO DO, 1624 00:57:55,000 --> 00:57:55,600 IF THAT PSYCHS YOU YOU UP YOU 1625 00:57:55,600 --> 00:57:56,240 ARE DOING THE RIGHT THING. AND 1626 00:57:56,240 --> 00:58:00,240 YOUR KARMA IS THAT, AND PEOPLE 1627 00:58:00,240 --> 00:58:06,040 WILL WANT TO JOIN THE TEAM. 1628 00:58:06,040 --> 00:58:06,600 THE COMMENT ABOUT THE FIELD 1629 00:58:06,600 --> 00:58:10,400 GUIDE, TEAM SIZE IS VERY COOL. 1630 00:58:10,400 --> 00:58:10,960 THAT IS SOMETHING WE USE ON 1631 00:58:10,960 --> 00:58:13,200 REGULAR BASIS THE FOLKS THINK 1632 00:58:13,200 --> 00:58:13,800 ABOUT WHERE THEY ARE IN THEIR 1633 00:58:13,800 --> 00:58:14,400 CAREERS AND BE THEIR OWN SORT 1634 00:58:14,400 --> 00:00:00,000 OF CRITIC.