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Proseminars

ISS Proseminars give selected faculty (designated as ISS Fellows) the opportunity to lead interdisciplinary graduate seminars in topics that are of broad interest to graduate students across the division. Their goal is to promote excellence in interdisciplinary research and graduate training via exposure to cutting-edge methods and concepts.

Experimental Economic Games (Winter 2017)

This Proseminar, co-led by four ISS Fellows, will explore the interdisciplinary use of experimental economic games (EEG) and their role in enhancing our understanding of the decision-making process.

Experimental Economic Games (Winter 2017) - Read More…

Social Network Analysis for Social Scientists (Spring 2017)

This proseminar, co-led by ISS Fellows Chris Smith and Robert Faris, will provide a broad overview of social network analysis, beginning with basic network visualization and customization and concluding with advanced modeling and the visualization of complex data.

Social Network Analysis for Social Scientists (Spring 2017) - Read More…

Ethnography and Care-full Description (Fall 2015 - Winter 2016)

Led by ISS Fellow Cristiana Giordano, an assistant professor of anthropology, this Proseminar covered ethnography, fieldwork and the kinds of texts and representations social scientists produce post-fieldwork to disseminate and interpret the results of their research. Through workshops, presentations, and guest lectures, students explored different ethnographic methods, as well as various texts and forms of representation based on ethnographic material.

Ethnography and Care-full Description (Fall 2015 - Winter 2016) - Read More…

Mining the Social Web: Crowdsourcing Autobiographical Memory Research in the Age of Big Data (Fall 2015)

This Proseminar was led by ISS Fellows Petr Janata, professor of psychology, and Duncan Temple Lang, professor of statistics. Its theme and specific topics were designed to appeal to students eager to participate in the emerging and high-growth area of mining the social web and text analysis. It addressed the critical nature of graduate and undergraduate training at the intersection of technology, data analysis and domain specific content.

Mining the Social Web: Crowdsourcing Autobiographical Memory Research in the Age of Big Data (Fall 2015) - Read More…

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