To get a better idea about workshop activities and focus, please take a look at the 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, and 2016 workshop pages and the book Complex Adaptive Systems.
Participation at the workshop will be limited to around ten graduate students.
Tuition for the program covers participation, course materials, accommodations and meals, but not travel. For students seeking departmental funding to attend the school, supporting materials are available from SFI. Tuition assistance is available based on an individual's need and merit. Students are responsible for their travel costs.
Applicants ideally should have completed a minimum of two years of graduate study in economics, social science, or related fields, and be actively pursuing research in computational social science (highly qualified applicants who do not meet these exact criteria will also be considered). Interested students will need to submit a recent curriculum vitae, at least one letter of recommendation, two other references, and a one page outline of a current or proposed research project in computational social sciences. Preference will be given to applicants who best demonstrate the ability to successfully complete research in this area.
Here is the online application site.
Women and minorities are encouraged to apply.
The application deadline is 14 February, 2017.
Completed applications should be submitted to the online application site.
(While we strongly encourage you to apply online, if necessary you may send a hardcopy (do not bind these materials in any manner) via postal mail to: Graduate Workshop in Computational Social Science, Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501 USA.)
All materials (including recommendation letters) must be received by the 14 February, 2017 deadline.
John H. Miller
Social and Decision Sciences
Carnegie Mellon University
Pittsburgh, PA 15213
Scott E. Page
4477 Randall Labs
University of Michigan Ann
Arbor, MI 48109-1120