The National Research Council’s Rankings of Doctoral Programs in Public Affairs

Using the National Research Council (NRC) data, this study aimed to answer two questions: What are the factors that contributed the most to the rankings of public affairs programs? Are there more specific patterns in the rankings of the doctoral programs in public affairs? The results indicate that faculty research productivity is the most important predictor of the rankings of the doctoral programs in the NRC dataset. The results of cluster analyses show that there are programs at large public universities, which are ranked highly and have highly diverse faculty and students.     

Faculty and Administration of Rutgers University School of Law at Camden, 1991–1992

Faculty and Administration of Rutgers University School of Law at Camden, 1991–1992     

Principal–Agent Analysis and Pathological Delegation: The (Almost) Untold Story

Principal–agent (PA) has come a long way since it was introduced to the political science sphere. Nowadays, PA has established itself as an institutional midrange theoretical framework that encompasses various methodological as well as theoretical approaches. This article argues, however, that scholars still assume, a priori, that the agent is an opportunistic and disloyal actor. This article seeks to question this theoretical assumption by demonstrating how principals could be as much problematic as their agents, a phenomenon that it terms “pathological delegation.” In so doing, it offers a first analysis of the small strand of the literature that examines problems embedded in the principals' side as well as provides new empirical evidence in the context of the European Neighbourhood Policy. Finally, the article posits that scholars should not treat pathological delegation as an anomaly but rather attempt to integrate, test, and develop new theoretical assumptions on this phenomenon.     

Group Segregation and Urban Violence

How does segregation shape intergroup violence in contested urban spaces? Should nominal rivals be kept separate or instead more closely integrated? We develop an empirically grounded agent‐based model to understand the sources and patterns of violence in urban areas, employing Jerusalem as a demonstration case and seeding our model with microlevel, geocoded data on settlement patterns. An optimal set of parameters is selected to best fit the observed spatial distribution of violence in the city, with the calibrated model used to assess how different levels of segregation, reflecting various proposed “virtual futures” for Jerusalem, would shape violence. Our results suggest that besides spatial proximity, social distance is key to explaining conflict over urban areas: arrangements conducive to reducing the extent of intergroup interactions—including localized segregation, limits on mobility and migration, partition, and differentiation of political authority—can be expected to dampen violence, although their effect depends decisively on social distance.