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  1. The Parallels between Mass Incarceration and Mass Deportation: An Intersectional Analysis of State Repression

    In the spring of 2014, President Obama’s administration reached a landmark of over 2 million deportations—more in under six years than the sum total of all deportations prior to 1997. Mass deportation has not affected all communities equally: the vast majority of deportees are Latin American and Caribbean men. Today, nearly 90 percent of deportees are men, and over 97 percent of deportees are Latin American or Caribbean. This article explores the global context under which mass deportation has occurred and draws parallels with mass incarceration.
  2. Making It Count: Using Real-World Projects for Course Assignments

    Previous scholarship has demonstrated the value of high-impact practices of community engagement, inquiry-based pedagogy, and collaborative learning for engagement and learning in sociology courses, especially undergraduate research methods and statistics. This article explores the changes made to an upper-division undergraduate course focused on applied research practices and community-level interventions.
  3. “Progress and Perfectability”: Urban Policy, Model Cities, and Community Control in the Shadow of Newark

    Positioning itself against arguments that claim that the Model Cities program (initially known as the 1966 Demonstration Cities and Metropolitan Development Act) was either an unmitigated failure, an attempt to co‐opt activists, or an effort to introduce the “carceral state” nationwide, this paper examines the implementation of Model Cities in a historically integrated suburb and argues that while the program was assuredly only a “limited success,” it did provide both funding and social space in which residents could forge intergenerational and cross‐racial alliances, as well as launch chal

  4. Status Aversion, Attraction and Discrepancy as Drivers of Neighborhood Selection

    Neighborhood income segregation is a widespread phenomenon. We explore its origins by modeling neighborhood selection by native Norwegian households making inter‐neighborhood moves, distinguishing influences of shares of three income groups and the discrepancy between the individual household's income and neighborhood median. We conduct a conditional logit analysis employing 2013–2014 population register data from the Oslo, Norway, metropolitan area.

  5. ASA Comments on a Proposed Rule by the National Labor Relations Board on Student Employment

    The National Labor Relations Board proposes a regulation establishing that students who perform any services for compensation, including, but not limited to, teaching or research, at a private college or university in connection with their studies are not “employees” within the meaning of Section 2(3) of the National Labor Relations Act.

  6. Review Essay: What Should Historical Sociologists Do All Day? Starving the Beast, the Reagan Tax Cuts, and Modes of Historical Explanation

    Monica Prasad, along with collaborators like Isaac Martin and Ajay Mehrotra (e.g., Martin, Mehrotra, and Prasad 2009), has made fiscal sociology—the sociology of taxation—a thriving part of the discipline. Her first book showed how different national patterns of taxation help explain the variable strength of neoliberalism across nations (Prasad 2006). Her second identified progressive taxation as key to producing both democratized credit and a weak welfare state in the United States (Prasad 2012).
  7. Doing Sociology: Tim Ready

    ASA speaks with applied sociologist Timothy Ready at the 2016 ASA Annual Meeting on August, 2016, in Seattle, WA. Ready talks about what it means to “do sociology,” how he uses sociology in his work, highlights of his work in the field, the relevance of sociological work to society, and his advice to students interested in entering the field. 

  8. The Moral Limits of Predictive Practices: The Case of Credit-Based Insurance Scores

    Corporations gather massive amounts of personal data to predict how individuals will behave so that they can profitably price goods and allocate resources. This article investigates the moral foundations of such increasingly prevalent market practices. I leverage the case of credit scores in car insurance pricing—an early and controversial use of algorithmic prediction in the U.S. consumer economy—to unpack the premise that predictive data are fair to use and to understand the conditions under which people are likely to challenge that moral logic.