Graduate Workshop in Computational Social Science Modeling and Complexity 2020
From Santa Fe Institute Events Wiki
GRADUATE WORKSHOP IN COMPUTATIONAL SOCIAL SCIENCE, MODELING, AND COMPLEXITY
June 21 - July 3, 2020, Santa Fe, NM
"I can honestly say that SFI’s Graduate Workshop in Computational Social Science has proven to be one of the most inspiring and useful experiences I have had in my development as an academic. Attending it has deeply enriched my research and given me an opportunity to become part of an intellectual community that I consider to be at the cutting-edge of social scientific thought. I have no doubt that the few, vibrant weeks I spent at this workshop will continue to benefit my work for years to come." - Lynette Shaw, GWCSS Aluma
The Santa Fe Institute is pleased to announce the 26th annual Graduate Workshop in Computational Social Science Modeling and Complexity, June 21 - July 3, 2020 in Santa Fe. The workshop will bring together a group of advanced graduate students and a small faculty for an intensive two week study of computational social science modeling and complexity. The workshop will consist of lectures by faculty, special topic seminars by members of the Santa Fe Institute, and presentations of work in progress by graduate student participants. The primary goal of the summer workshop is to assist graduate students pursuing research agendas which includes a computational modeling component. A significant portion of the workshop will be devoted to analyzing and improving research being conducted by the graduate student participants.
To get a better idea about workshop activities and focus, please take a look at the 1995-2018 workshop pages at https://jhmsfi.github.io/JHMWeb/econ/
Participation at the workshop will be limited to around 10 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 or other social science 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 should submit a recent curriculum vitae, one letter of recommendation, contact information for 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.
Women and Minorities are encouraged to apply.
The application deadline has passed. It was 11 February, 2020
If you have technical problems, send an email to firstname.lastname@example.org
For more information on the program contact:
John H. Miller
Social and Decision Sciences
Carnegie Mellon University
Pittsburgh, PA 15213