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How do longstanding theories of social interaction hold up when communication shifts from in-person to online interaction? And how can novel research methods, applied by collaborative teams of social scientists and computer scientists to new forms of online data, help us re-imagine the mechanisms driving social life?

ICPSR data fair: data: powered by you.

We are excited to announce the 2018 ICPSR Data Fair, "Data: Powered by You." This conference on October 1—5, 2018 is virtual, free and open to the public. We will explore topics such as data transparency, data activism, sharing data, and more. The Data Fair will feature over 20 webinars hosted by expert presenters and ICPSR's very own Official and Designated Representatives. 

On Friday, October 20, a crowded house of social scientists, computer scientists, and planners gathered in the new ISSR lab to discuss insights emerging from a National Science Foundation funded project on the social sciences and big data. Leading the dialogue were the project’s principal investigators, who have each been program directors at the National Science Foundation: Susan Sterett, Director of the School of Public Policy and Professor of Political Science at the University of Maryland, Baltimore County and Kelly Joyce, Director of the Science, Technology & Society Center and Professor of Sociology at Drexel University.

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ISSR announces its 2017 summer program in advanced research methods - ten short courses spanning a range of methodological frontiers. 

Course offerings have been curated by ISSR Research Methodologist Dr. Jessica Pearlman, and will be taught by specialists in their fields as part of ISSR's mission to promote excellence in social science research at the University of Massachusetts Amherst and beyond. These short courses are designed to support the methods and training needs of students, academics, and professionals to enhance their education and research success.

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The Department of Sociology at the University of Massachusetts Amherst requests presentation and poster proposals for the first interdisciplinary graduate student conference on ethnographic methodologies held on our campus.  The November 4-5 2016 conference is titled Unbounding Ethnography: Theory and Method Beyond the Disciplines, with Keynote address by Michael Burawoy, Professor of Sociology at the University of California, Berkeley. 

The “replication crisis” that is raising questions about the reliability of scientific research has been widely discussed in the fields of psychology and medicine, but has important ramifications for all scientists –social and natural. At a jam-packed April 8 seminar co-hosted by ISSR and the Computational Social Sciences Institute, ISSR Assistant Director Henry Renski (Landscape Architecture and Regional Planning) moderated a panel of five scholars from across the Colleges of Information and Computer SciencesNatural Sciences, and Social & Behavioral Sciences, as they explored key issues, implications, and attempted remedies that this replication debate has raised. The lively discussion that ensued points to a hunger to respond to the epistemological, methodological and institutional questions that underlie the replication debate.

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What do moose fat, algae blooms, classroom and office assignments, urban residential segregation and crackling fireplaces have in common? A fascinating showcase of research by scholars and practitioners from around the Five Colleges showed how spatial analysis – the study of social and material dynamics through their patterns in physical space – can offer new layers of understanding about the natural and social patterns and inequalities all around us. 

POLISCI  797SR - 01  Survey Research Methods
Wednesdays 4:00-6:30 pm
 
Description: This course will focus on advanced topics in survey design and analysis. Topics covered include different approaches to sampling, how to construct and use survey weights, and tools for analyzing and enriching survey data, including approaches to conducting matching and multiple imputation, as well as the construction and analysis of panel data. The course will also focus on designing and analyzing survey experiments.
 

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