MCCHE Precision Convergence Webinar Series with Igor Grossman
Intellectual humility in an uncertain and polarized world
By Igor Grossman
Professor of Psychology at the University of Waterloo
Abstract
In a time of disagreements about values, politics, and cultural practices, psychological scientists have turned to possible antidotes to societal acrimony – the concept of intellectual humility Interest in wisdom has come from diverse research areas, including leadership and organizational behavior, personality science, positive psychology, judgment/decision-making, education, culture, and intergroup and interpersonal relationships. I will critically examine the diverse approaches to defining and measuring it and describe what many scientists studying intellectual humility see as common across a myriad of definitions: meta-cognitive awareness of one’s fallibility and limits of knowledge. After establishing common ground across definitions and reviewing the validity of different measurement approaches, I will highlight research that explores the role of macro- and micro-level factors – from relationship security to interdependence in social coordination – for these characteristics. Furthermore, I will review empirical evidence concerning benefits and drawbacks of these characteristics for personal decision-making, interpersonal relationships, scientific enterprise, and society writ large.
About the series
The Precision Convergence series is launched to catalyze unique synergy between, on the one hand, novel partnerships across sciences, sectors and jurisdictions around targeted domains of real-world solutions, and on the other hand, a next generation convergence of AI with advanced research computing and other data and digital architectures such as , and supporting data sharing frameworks such as , informing in a real time as possible the design, deployment and monitoring of solutions for adaptive real-world behaviour and context.
The Precision Convergence Webinar Series is co-hosted by The McGill Centre for the Convergence of Health and Economics (MCCHE) at Ï㽶ÊÓƵ and , a joint computational research centre between Carnegie Mellon University and the University of Pittsburgh.
