Race, Biological Causation, and Science Communication
October 10, 2014
2:00 – 5:30
Newkirk Alumni Center
at 450 Alumni Court on the UCI campus (corner of University Dr. and Mesa Rd.) For directions see -http://www.alumni.uci.edu/alumni-house/maps.php Parking is free of charge.
To RSVP, click here.
- Can myriad uses of statistics produce belief that genetics largely explain racial health disparities?
- Should ancestry models be used to assess whether “African Ancestry” may account for increased genetic risks in African-Americans?
- Do new studies using brain scans to detect individual perception of racial difference lead to understanding of racism itself as fundamentally a biological rather than a social phenomenon?
- Does information linking biological causation to race take on a particular life in the press?
A distinguished panel of speakers will discuss how the scientific act of establishing a biological cause for traits and the communication of that scientific information to the public might (mis)shape society’s concept of race.
Panelists will discuss how reasoning on race travels in society broadly, and will examine cultural forces that constrain scientific communication.
Jonathan Kahn, Hamline School of Law
Race, Law and Neuroscience: Some Explicit Problems with Implicit Bias
Duana Fullwiley, Stanford University
So, My Cancer Came From Africa?” How Ancestry Genetics in Medical Research Shapes Ideas about Causality and Disease Risk
Jay Kaufman, McGill University
The Use of Negative Controls in the Genetic Epidemiology of Racial Disparities
Sally Lehrman, Santa Clara University
Taking up the Cry: When Genetics, Race, and News Print Meet
Aaron Panofsky, University of California, Los Angeles
How “Unscientific” Ideas about Race Contribute to the Scientific Authority of Behavior Genetics
Moderated by Kristin Peterson, UC Irvine
Program in African American Studies
UCI ADVANCE Program
Program in Literary Journalism
Department of Logic and Philosophy of Science
Ayala School of Biological Sciences
School of Social Ecology