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The Rise and Implications of the 1099 Economy

Tuesday, October 25, 2016 - 18:00 to 20:00


15th Floor Int'l Affairs Building 420 W 118th Street New York, NY 10027

The Rise and Implications of

the 1099 Economy
A Panel Discussion Featuring

Susan Houseman, W.E. Upjohn Institute

Alan Krueger, Princeton University

Robert Solow, Massachusetts Institute of Technology

David Weil, Department of Labor

Moderated by Eric Verhoogen, Columbia University

Black Power at 50 - Panels and Presentations

Friday, October 21, 2016 - 09:00 to 16:30


Columbia University, International Affairs Building, Kellogg Conference Center
  • Black Power: Past, Present and Future
  • Universalism, Targeted Policies or Something Else?
  • De-racialization as Political Strategy
  • The Multiple Legacies of Hamilton

Black Power at 50 - Keynote

Thursday, October 20, 2016 - 16:00


Columbia University, International Affairs Building, Kellogg Conference Center

Dr. Hamilton will deliver a Keynote Address with comments by Dianne Pinderhughes, University of Notre Dame, Michael Dawson, University of Chicago and Nikhil Pal Singh, New York University.

Normative Decisions Between More Than Two Alternatives

Thursday, October 20, 2016 - 18:00 to 19:30


301 Uris Hall New York, NY 10027

Every-day decisions frequently require choosing among multiple alternatives. Compared to binary choice paradigms, much less is known about the computational principle of decisions with more than two options. Previous physiological and behavioral experiments have revealed puzzling properties of human/animal decisions involving more than two options, such as interactions among these options and time-dependent decision thresholds. Why the nervous system ought to have such properties and how they functionally relate to each other remains poorly understood.


Thursday, September 29, 2016 - 06:00 to 07:30
6:00-7:00 p.m.


326 Uris Hall New York, NY 10027 United States

Goal-directed human behaviors are driven by motives. Motives are, however, purely mental constructs that are not directly observable. Here, we show that the brain’s functional network architecture captures information that predicts different motives behind the same altruistic act with high accuracy. In contrast, mere activity in these regions contains no information about motives.


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