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  1. Preventing Violence: Insights from Micro-Sociology

    Micro-sociology of violence looks at what happens in situations where people directly threaten violence, but only sometimes carry it out. This process and its turning points have become easier to see in the current era of visual data: cell-phone videos, long-distance telephoto lenses, CCTV cameras. New cues and instruments are on the horizon as we look at emotional signals, body rhythms, and monitors for body signs such as heart rate (a proxy for adrenaline level).
  2. When Interest Doesn’t Turn into Action: Discrimination, Group Identification, and Muslim Political Engagement in the Post-9/11 Era

    This article examines the effect of exposure to post-9/11 stigmatization on various types of Muslim political engagement, using a mixed-methods approach that combines propensity score matching analysis of data from the Muslims in the American Public Square (MAPS) survey administered immediately after 9/11 with experimental data of the U.S. Muslim population. I find that increased discrimination results in increased political interest but has a neutral or dampening effect on political participation.
  3. Economic Populism and Bandwagon Bigotry: Obama-to-Trump Voters and the Cross Pressures of the 2016 Election

    Through an analysis of validated voters in the 2016 American National Election Study, this article considers the voters who supported Obama in 2012 and Trump in 2016. More than 5.7 million in total, Obama-to-Trump voters were crucial to Trump’s victory in the Electoral College. They were more likely to be white, working class, and resident in the Midwest. They had lower levels of political interest, were centrist in both party affiliation and ideology, and were late deciders for the 2016 election.
  4. CASM: A Deep-Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media

    Protest event analysis is an important method for the study of collective action and social movements and typically draws on traditional media reports as the data source. We introduce collective action from social media (CASM)—a system that uses convolutional neural networks on image data and recurrent neural networks with long short-term memory on text data in a two-stage classifier to identify social media posts about offline collective action. We implement CASM on Chinese social media data and identify more than 100,000 collective action events from 2010 to 2017 (CASM-China).
  5. Stability and Change in Americans’ Perception of Freedom

    Any American will tell you, this nation’s highest ideal is freedom. Survey data teases out how race, income, and political affiliation inflect individuals’ sense of lilberty.
  6. Sociology, Teaching, and Reflective Practice: Using Writing to Improve

    The scholarly literature on teaching sociology contains relatively little about improving courses from one semester to the next. In this article, I describe a method for continual teaching improvement that is based on writing, the well-established practice of teacher reflection, and classical sociological principles. This method was developed through the analysis of nine semesters of autoethnographic data that I collected in the form of daily reflective notes.

  7. How College Makes Citizens: Higher Education Experiences and Political Engagement

    One function of undergraduate education is supporting successful citizenship later in life. Educational achievement is positively, if variably, related to political engagement. However, questions remain about the role of selection into college education as well as the specific college experiences that facilitate postcollege good citizenship.

  8. Exploring Classroom Climate in Sociology Courses Using Syllabi

    The classroom climate shapes students’ learning and instructors’ teaching experience in profound ways. This study analyzes classroom climate statements in syllabi from various sociology courses to understand the extent that sociology instructors highlight climate issues and how climate is conceptualized in their syllabi. Drawing from data from two different times periods (pre-2005 and post-2010), the current study examines the frequency of classroom climate statements, the factors that may contribute to the presence of a statement, and themes within these statements.

  9. “I Understand What They’re Going through”: How Socioeconomic Background Shapes the Student Service-learning Experience

    Traditional service-learning pedagogy assumes that learning occurs when contact between relatively advantaged students and a relatively disadvantaged service population reduces prejudice. However, little is known about how students whose backgrounds are similar to the populations they serve process this learning experience. This study explores the connections between socioeconomic status and learning trajectories within service-learning. Students provided written reflections on a service-learning experience focused on food insecurity as part of course requirements.

  10. Integrating Community-based Research into a Senior Capstone Seminar: Lessons Learned from a Mixed-methods Study

    This article describes a senior capstone, Neighborhoods and Health, which used community-based research (CBR) as its primary pedagogy. Students in the course drew upon multiple research methods and forms of data to provide our partner, the Urban Farming Institute of Boston, with an array of research products in support of the revitalization of a historic farm in the Boston neighborhood of Mattapan.