Civic engagement fails to foster democratic representation and accountability when women or other marginalized groups face barriers to participation, as they do in many developing countries. Rather than flattening access to participation, a randomly assigned civic education course in Mali widened the gender gap when it increased civic activity among men while decreasing that among women. Qualit...

Contemporary accounts of medical ethics and professionalism emphasize the importance of social justice as an ideal for physicians. This ideal is often specified as a commitment to attaining the universal availability of some level of health care, if not of other elements of a "decent minimum" standard of living. I observe that physicians, in general, have not accepted the importance of social j...

Youth civic engagement is recognized as an essential component necessary for the preservation of democratic practices; however, inadequate levels of civic participation persist among young people. Past research has shown that young people are more likely to participate in politics when they are informed. We present survey data collected from middle and high school students during a collaborativ...

This study examines the challenges and the expectations that civic hackers bring to the use of open government data, building on Gurstein’s theory of barriers to effective use. Civic hackers are hobbyists, freelancers, and professionals who use open government data for products and social good applications. Drawing on individual interviews and a focus group with fifteen total civic hackers in S...

The antiquities of Jammu and Kashmir reveal that women might have enjoyed a high status as elsewhere in India. But ,there was a marked deterioration in the position of women. Female children were not much desired and their sufferings became endless with the beginning of inroads of Turko-Afghan tribes for whom carrying away of women formed the prized item of booty. This situation gave new dimens...

This paper develops an estimation strategy for and then applies a spatial autoregressive multinomial probit (SAR MNP) model to account for both spatial clustering and cross-alternative correlation. Estimation is achieved using Bayesian techniques with Gibbs and the generalized direct sampling (GDS). The model is applied to analyze land development decisions for undeveloped parcels over a 6-year...