ERI Graduate Student Working Group on Race and Immigration

The ERI Immigration and Race graduate student working group seeks to be a professional network for graduate students interested in immigration, integration, and race and ethnic relations research. The student group hosts workshops, discussion panels, and research presentations. To support our goal of being a community for scholarly development, meetings provide ample opportunities for the collaboration and sharing of members’ work.

Sponsoring Faculty: Jody Agius Vallejo

Ethnography of Politics Reading Group

The Ethnography of Politics Reading Group meets to read and discuss people’s fieldnotes about “political participation,” broadly defined.

Sponsoring Faculty: Nina Eliasoph

Problem Solving Ethnography Workshop

Problem Solving Ethnography is a new forum for ethnographically based paper drafts. Papers may treat any aspect of social problem solving or the social contexts that condition potential solutions. We invite ethnographic papers that explore in depth how actors construct or organize collectively around social problems, or how social contexts shape the effects of policies, projects or campaigns intended to ameliorate problems. We welcome papers employing a mix of evidence as long as the ethnographic component is substantial. We aim to support authors in generating convincing, research-based papers that move scholarly and/or practitioner or public audiences. As one feature of our discussions among others, we will draw out a paper’s takeaways for practical efforts to address problems for broad constituencies.

For more information, please consult the website of our host: the Problem Solving Sociology network

Sponsoring Faculty: Paul Lichterman

Quantitative Social Science Working Group

The Quantitative Social Science Working Group is an informal working group for students and faculty who use quantitative methods in their research. The group meets regularly and serves as a forum for sharing work-in-progress, asking questions, learning new methods, and reading and discussing articles that develop or use novel quantitative methods to answer social science questions.

Sponsoring Faculty: Dan Schrage