Special Event

All day

This event is private.

Central to the history and development of many complex adaptive systems, be they biological, physical, social or economic, is the dynamic interplay between regulation and innovation. At times, regulation can foster innovation (e.g., the imposition of standards in technological development or genetic response to environmental factors), and in other instances regulation can squelch good innovation. Regulation can be imposed or evolved. Innovative responses can respect regulations or attempt to circumvent them. The responses in turn generate new regulations that generate their own responses, and so on and so on. In this process of co-evolution, some systems flourish while others wither. Spurred by the global consideration of regulatory responses to the current world financial crisis, in a one-day symposium, "Innovation and Regulation," co-sponsored by Fidelity Investments and The Santa Fe Institute, we will consider innovation and regulation across a wide variety of contexts and phenomena.

To be held on May 15, 2009 at Fidelity Investments, Fidelity Center for Applied Technology (FCAT), Boston, MA.


  • Dan Rockmore, External Professor, Santa Fe Institute and Dartmouth College
  • Jeff Madrick, The New School
  • Jessica Flack, Research Professor, Santa Fe Institute
  • Daniel Schrag, External Professor and Science Board, Santa Fe Institute and Harvard University
  • Andrew W. Lo, Director, Laboratory for Financial Engineering, MIT
  • John Clippinger, Senior Fellow, The Berkman Center for Internet and Society, Harvard Law School
  • Sean Belka, Senior Vice President and Director of FCAT

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Modes of Regulation in Biological Evolution: Programs versus Selective Arenas

AuthorsDavid Krakauer

Regulation and the Environment: Methane and the Tundra

AuthorsDan Schrag

The Evolutionary and Experimental Logic of Robustness in Biological & Social Systems

AuthorsJessica Flack

Idea Ecosystem

AuthorsSean Belka

Panel Discussion

Opening Remarks

AuthorsDan Rockmore

Regulation as Adaptation to Behavioral Biases

AuthorsAndrew Lo

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