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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. 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).
  3. Serial Filing: How Landlords Use the Threat of Eviction

    While recent research has illustrated the frequency and deleterious consequences of eviction, the number of executed evictions pales in comparison to the number of poor families threatened with eviction. This paper uses interviews with 127 randomly sampled landlords and property managers in Baltimore, Dallas, and Cleveland to examine their strategies related to eviction, with a focus on the extended process of evicting rather than the discrete instance of eviction.

  4. The Growth Machine Across the United States: Business Actors’ Influence on Communities’ Economic Development and Limited‐Government Austerity Policies

    The growth machine (GM) perspective has long guided urban research. Our study provides a new extension of this perspective, focusing on local business actors’ influence on communities across the United States. We question whether GM‐oriented business actors remain widely associated with contemporary local economic development policies, and further, whether these actors influence the use of limited‐government austerity policies. Conceptually, we extend the GM framework by bringing it into dialogue with the literature on urban austerity policy.

  5. Essay: Sociology's New Steps?

    It was the devastating problems linked to the dramatic shift from farm to factory during the nineteenth century that fueled sociology’s origins, whether we turn to Comte, Marx, Weber, Durkheim, or Simmel. Building on the eighteenth-century Enlightenment spirit of the power of reason and freedom as well as the triumphs of the biophysical sciences, they envisaged a powerful science of human behavior that could solve those problems.

  6. Review Essay: Back to the Future

    In one of my undergraduate courses, I show students a photo of Paul Lazarsfeld and Frank Stanton. Of course, neither social scientist is familiar to them, but I argue to my students that Lazarsfeld had a bigger impact on the daily practice of sociology than any member of the Marx/Weber/Durkheim triumvirate they study in classical theory.

  7. 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.

  8. Collective Social Identity: Synthesizing Identity Theory and Social Identity Theory Using Digital Data

    Identity theory (IT) and social identity theory (SIT) are eminent research programs from sociology and psychology, respectively. We test collective identity as a point of convergence between the two programs. Collective identity is a subtheory of SIT that pertains to activist identification. Collective identity maps closely onto identity theory’s group/social identity, which refers to identification with socially situated identity categories. We propose conceptualizing collective identity as a type of group/social identity, integrating activist collectives into the identity theory model.
  9. Trouble in Tech Paradise

    The structures of the tech industry, with its dependence on highly skilled immigrant workers, and the H-1B visa, with its dependence on sponsoring companies, bind tech workers in a cycle of legal violence.

  10. Are Robots Stealing Our Jobs?

    The media and popular business press often invoke narratives that reflect widespread anxiety that robots may be rendering humans obsolete in the workplace. However, upon closer examination, many argue that automation, including robotics and artificial intelligence, is spreading unevenly throughout the labor market, such that middle-skill occupations that do not require a college degree are more likely to be affected adversely because they are easier to automate than high-skill occupations.