
<p><strong>The Science of Diversity and the Impact of Implicit Bias </strong></p><p><strong>Hannah Valantine, MD </strong></p><p>NIH Chief Officer for Scientific Workforce Diversity </p><p><strong>Use of This Module </strong></p><p>• This presentation presents information about scientific workforce diversity and factors that contribute to limiting diversity, including implicit bias </p><p>• Viewing this presentation is not a substitute for broader efforts to reduce implicit bias and its negative outcomes on scientific career advancement </p><p>• Please contact us with questions: SWDTo<a href="mailto:[email protected]" target="_blank">[email protected] </a></p><p><strong>Presentation Outline </strong></p><p>• Why diversity? </p><p>– Diverse is a driving force for excellence and innovation </p><p>– Defining diversity – Lack of diversity in science: the evidence </p><p>• Hurdles to diversity: Implicit bias </p><p>– Pervasiveness of implicit bias – Evidence – Strategies for overcoming bias </p><p><strong>Why Diversity Matters </strong><br><strong>Capitalizing on the Opportunity </strong></p><p>• Excellence, creativity, innovation • Broadening scope of inquiry - solutions to complex problems of health and disease </p><p>• Impact of workforce diversity on health disparities </p><p>• Ensuring fairness </p><p>– Changing demographics – Leveraging the entire U.S. intellectual capital </p><p><strong>Capturing the Benefits of Diversity </strong><br><strong>Identity is a Proxy for Cognitive Diversity </strong></p><p><strong>*Underrepresented Populations in U.S. Biomedical, Clinical, Behavioral and Social Science Research </strong></p><p><strong>Ethnicity* </strong></p><p><strong>Nationality* </strong><br><strong>Gender* </strong></p><p><strong>Socioeconomic </strong><br><strong>Status* </strong><br><strong>Race* </strong></p><p><strong>c</strong></p><p><strong>Disability* </strong></p><p><strong>Capturing the Benefits of Diversity </strong><br><strong>Identity is a Proxy for Cognitive Diversity </strong></p><p><strong>*Underrepresented Populations in U.S. Biomedical, Clinical, Behavioral and Social Science Research </strong></p><p><strong>Thinking </strong><br><strong>Style </strong></p><p></p><ul style="display: flex;"><li style="flex:1"><strong>Language </strong></li><li style="flex:1"><strong>Ethnicity* </strong></li></ul><p></p><p><strong>Religion </strong></p><ul style="display: flex;"><li style="flex:1"><strong>Perspectives </strong></li><li style="flex:1"><strong>Experiences </strong></li><li style="flex:1"><strong>Nationality* </strong></li><li style="flex:1"><strong>Geography </strong></li></ul><p><strong>Physical Abilities </strong><br><strong>Race* </strong></p><p><strong>Culture </strong></p><p></p><ul style="display: flex;"><li style="flex:1"><strong>Skills </strong></li><li style="flex:1"><strong>Gender* </strong></li></ul><p></p><p><strong>Sexual </strong><br><strong>Orientation </strong><br><strong>Socioeconomic </strong><br><strong>Status* </strong></p><p><strong>Disability* </strong></p><p><strong>Age </strong></p><p><strong>U.S. Women Faculty in Science - 2016 </strong></p><p>Clinical and Basic Science Departments Combined </p><p><a href="/goto?url=http://www.aamcdiversityfactsandfigures2016.org/report-section/section-5/medical-schools/#tablepress-31" target="_blank">http://www.aamcdiversityfactsandfigures2016.org/report-section/section-5/medical-schools/#tablepress-31 (Med School, 2015) </a></p><p><strong>U.S. Women Faculty in Science - 2016 </strong></p><p>Clinical and Basic Science Departments Combined </p><p><strong>Lack of Diversity in Biomedical Science Careers </strong></p><p>100% <br>90% 80% 70% 60% 50% 40% 30% 20% 10% <br>0% </p><p></p><ul style="display: flex;"><li style="flex:1">Training </li><li style="flex:1">Early Career </li><li style="flex:1">Tenured Faculty </li></ul><p>Women - Underrepresented Men - Underrepresented <br>Women - Well-represented Men - Well-represented </p><p><strong>Population Growth: URM Ph.D. Recipients and Assistant Professors </strong></p><p>10 <br>9876</p><p>URM Ph.D. URM Asst. Prof. </p><p>543210</p><p>WR Ph.D. WR Asst. Prof. </p><p>1981 1985 1989 1993 1997 2001 2005 2009 2013 </p><p>Gibbs, K. D., et al. (2016). <em>Decoupling the minority PhD talent pool and assistant professor hiring in the medical school basic science departments in the US</em>. </p><p><strong>URM Pool for Transition into the Biomedical Research Workforce </strong></p><p><em>38% increase </em></p><p><strong>2006-2012 </strong></p><p><strong>2000-2006 </strong></p><p><strong>URM Pool for Transition into the Biomedical Research Workforce </strong></p><p>• ~10% of all PhD earners, 2006-2012: • ~780 AA/B (~4% of entire pool) • ~950 Hispanic (~5.7% of entire pool) • 30 AI/AN (0.2% of entire pool) </p><p></p><ul style="display: flex;"><li style="flex:1"><em>But numbers matter … </em></li><li style="flex:1"><em>But numbers matter … </em></li><li style="flex:1"><em>But numbers matter … </em></li><li style="flex:1"><em>But numbers matter … </em></li><li style="flex:1"><em>But numbers matter … </em></li><li style="flex:1"><em>But numbers matter … </em></li><li style="flex:1"><em>But numbers matter … </em></li></ul><p></p><p><strong>Diversity of Thought: </strong><br><strong>Driving Force for Innovation </strong></p><p>• Cognitive diversity (diversity of thought) increases: </p><p>– Creativity – Search for novel information – Search for novel perspectives – Better decision making </p><p>• Gender/ethnic identity as proxy for cognitive diversity </p><p><strong>Better Problem-solving Results From a Larger </strong><br><strong>Informational, or Cognitive Space </strong></p><p>• Argument: diversity outperforms ability </p><p>• Test: hypothetical scenarios reflecting problem solving abilities </p><p>• Result: randomly selected participants from applicant pool were better at solving the problem than the highest-scoring individuals </p><p>Groups of diverse problem solvers can outperform groups of high-ability problem solvers. <em>PNAS </em>2004 Nov 16;101(46):16385-9. </p><p><strong>Better Problem-solving Results From a Larger </strong><br><strong>Informational, or Cognitive Space </strong></p><p>• Argument: diversity outperforms ability </p><p>• Test: hypothetical scenarios reflecting problem solving abilities </p><p>• Result: randomly selected participants from applicant pool were better at solving the problem than the highest-scoring individuals </p><p>• Diversity enhances: </p><p>– Jury Decision Making* – Accurate stock trading predictions** </p><p>Groups of diverse problem solvers can outperform groups of high-ability problem solvers. <em>PNAS </em>2004 Nov 16;101(46):16385-9. </p><p>– Publications in higher impact journals </p><p>Sommers, S. R. (2006); ** Levine, S. S. (2014 PNAS) </p><p><strong>Diversity and Financial Decision Making </strong></p><p>Ethnically homogenous financial traders vs. Ethnically heterogeneous financial traders </p><p>Stock-trading simulations <br>Random assignment </p><p><em>Experimental Study </em></p><p>Less able to accurately predict stock prices (33% decline) </p><p>More likely to accept inflated prices (that contribute to financial bubble) and when bubbles burst, they crashed more severely </p><p>Levine, S. S., Apfelbaum, E. P., Bernard, M., Bartelt, V. L., Zajac, E. J., & Stark, D. (2014). Ethnic diversity deflates price </p><p>bubbles. <em>Proceedings of the National Academy of Sciences</em>, <em>111</em>(52), 18524-18529. </p><p><strong>Diversity and Financial Decision Making </strong></p><p>Ethnically homogenous financial traders vs. Ethnically heterogeneous financial traders </p><p>Stock-trading simulations <br>Random assignment </p><p>“Diversity facilitates friction that enhances deliberation and upends </p><p><em>Experimental Study </em></p><p>Less able to accurately predict stock prices (33% decline) </p><p>More likely to accept inflated prices (that contribute to financial bubble) and when bubbles burst, they crashed more severely </p><p>conformity.” </p><p>Levine, S. S., Apfelbaum, E. P., Bernard, M., Bartelt, V. L., Zajac, E. J., & Stark, D. (2014). Ethnic diversity deflates price </p><p>bubbles. <em>Proceedings of the National Academy of Sciences</em>, <em>111</em>(52), 18524-18529. </p><p><strong>Diversity and Jury Decision Making </strong></p><p><strong>Black Defendant </strong></p><p>Experimental study – randomly assigned </p><ul style="display: flex;"><li style="flex:1">Racially homogenous jurors </li><li style="flex:1">vs. </li><li style="flex:1">Racially heterogeneous jurors </li></ul><p></p><p><strong>Diversity and Jury Decision Making </strong></p><p><strong>Black Defendant </strong></p><p>Experimental study – randomly assigned </p><ul style="display: flex;"><li style="flex:1">Racially homogenous jurors </li><li style="flex:1">vs. </li><li style="flex:1">Racially heterogeneous jurors </li></ul><p></p><p></p><ul style="display: flex;"><li style="flex:1"><strong>Measure </strong></li><li style="flex:1"><strong>All-White Group </strong></li></ul><p></p><p><sup style="top: -0.0005em;"><strong>Diverse Group</strong></sup><strong>* </strong></p><p><strong>50.67 </strong></p><p>Deliberation length, in minutes # of case facts discussed # of factual inaccuracies </p><p><strong>38.49 25.93 7.28 </strong><br><strong>30.48 4.14 </strong></p><p># of uncorrected inaccurate statements <strong>2.49 </strong></p><p><strong>1.36 </strong></p><p>Wider range of information exchange; in diverse group – whites cited more facts; more discussion; fewer errors </p><p><a href="/goto?url=http:Sommers,S.R.(2006).On" target="_blank">Sommers, S. R. (2006). On </a>racial diversity and group decision making: identifying multiple effects of racial composition on jury </p><p>deliberations. <em>Journal of personality and social psychology</em>, <em>90</em>(4), 597. </p><p><strong>Diversity and Quality of Science </strong></p><p>• 2.57 million scientific papers between 1985-2008 <br>(authors with U.S. addresses); 11 scientific fields </p><p>• Surnames of co-authors – ethnic diversity • Controlled for # authors; population density etc. • Lots of homophilly: association with similar others </p><p>Papers written by a diverse groups: <br>• Receive more citations • Published in journals with higher impact factors </p><p>• Similar finding for gender diversity* </p><p>Freeman, R. B., & Huang, W. (2014).<em>National Bureau of Economic Research</em>, No. w19905. <br>* Campbell LG, et al. (2013) Gender-heterogeneous working groups produce higher quality science. <em>PLoS One</em>. </p><p><strong>Why the Diversity Effect? </strong></p><p>• Simply being exposed to diversity can change the way we think: </p><p>• Anticipate differences • Encourage consideration of alternatives • Dissent provokes more thought when it comes from someone who is different from us </p><p>• Opinion dissent in diverse groups contributes to novelty and integrative complexity </p><p>• Diversity can be a catalyst for change, growth, and innovation </p><p><strong>Hurdles to Diversity </strong></p><p>• Easy answers have not been sufficient: </p><p>– Not lack of talent – Not lack of commitment or interest – Pipeline is usually not a/the problem </p><p>• Feelings of isolation, lack a sense of belonging • “A threat in the air” </p><p>Wilson, T. (2002). <em>Strangers to Ourselves: Discovering the Adaptive Unconscious</em>. </p>
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