Join us for a presentation by Dr. John Parker, NSF Program Officer of Science, Technology, and Society and international expert on scientific collaboration as he leads a discussion and provides tips for faculty on how to develop a culture of effective and equitable collaboration, based on his sociological research on highly successful scientific teams.

In this two hour workshop, you will become familiar with a widely used software to manage data and run statistical tests. You will learn basic skills to open a dataset, find trends in your data, and obtain descriptive statistics. You will also learn how to obtain help to use Stata on your own after the workshop. No prior experience with Stata is expected.

In this workshop we will review the basic components of network analysis, and learn how to ‘do’ network analysis through a series of simple easy-to-understand examples. This will cover the specialized language that network analysis uses, how measurements work, and how data is structured for network analysis. This workshop will use the R statistical environment. No prior knowledge of R is required.

Social institutions such as gender are widely recognized within the social sciences to affect the operation of the world we study. Yet they also affect how we conduct our work as scholars, from how research is conducted, how networks of collaboration and esteem function within the profession, and many other aspects of our lives as scholars. This panel examines new research on how gender operates within the social science professions, features perspectives from a variety of different disciplines, and explores what might be done to address differences and inequities among social scientists.