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.
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
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.
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.
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).
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).
When hundreds of thousands of protesters filled the streets of Hong Kong this summer, central figures reportedly took no selfies, avoided Facebook and Twitter, installed prepaid SIM cards, stuck to secure messaging apps, and used cash instead of rechargeable subway cards or other cashless payments. It is not clear whether this will help them avoid “conspiracy to commit public nuisance” charges, which led to prison sentences for leaders of the 2014 Umbrella movement (including sociologist Kin-man Chan).
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.
The U.S. multiracial population has grown substantially in the past decades, yet little is known about how these individuals are positioned in the racial hierarchies of the dating market. Using data from one of the largest dating websites in the United States, we examine how monoracial daters respond to initial messages sent by multiracial daters with various White/non-White racial and ethnic makeups. We test four different theories: hypodescent, multiracial in-betweenness, White equivalence, and what we call a multiracial dividend effect.
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.