Examining the Pre-High School Roots of the Black and Latino Male Dropout Crisis in New York City

This report examines how the achievement levels of Black and Latino males vary across New York City neighborhoods and work to identify the neighborhoods where the needs of the two populations are most critical. Differences in characteristics of the middle schools and students in the low- and high-performing Community School Districts (CSDs) are examined to better understand the continually low performance of a large portion of Black and Latino males in New York City

Visualizing recommendations to support exploration, transparency and controllability

Research on recommender systems has traditionally focused on the development of algorithms to improve accuracy of recommendations. So far, little research has been done to enable user interaction with such systems as a basis to support exploration and control by end users. In this paper, we present our research on the use of information visualization techniques to interact with recommender systems. We investigated how information visualization can improve user understanding of the typically black-box rationale behind recommendations in order to increase their perceived relevance and meaning and to support exploration and user involvement in the recommendation process. Our study has been performed using TalkExplorer, an interactive visualization tool developed for attendees of academic conferences. The results of user studies performed at two conferences allowed us to obtain interesting insights to enhance user interfaces that integrate recommendation technology. More specifically, effectiveness and probability of item selection both increase when users are able to explore and interrelate multiple entities - i.e. items bookmarked by users, recommendations and tags. Copyright © 2013 ACM

What’s going on in my city? Recommender systems and electronic participatory budgeting

In this paper, we present electronic participatory budgeting (ePB) as a novel application domain for recommender systems. On public data from the ePB platforms of three major US cities – Cambridge, Miami and New York City–, we evaluate various methods that exploit heterogeneous sources and models of user preferences to provide personalized recommendations of citizen proposals. We show that depending on characteristics of the cities and their participatory processes, particular methods are more effective than others for each city. This result, together with open issues identified in the paper, call for further research in the area

Why Let the People Decide? Elected Officials on Participatory Budgeting

This report documents findings from interviews with U.S. elected officials regarding their experience with participatory budgeting (PB). It also includes recommendations for policymakers, PB advocates and funders looking to improve and expand PB

Factors Determining Transit Access by Car Owners: Implications for Intermodal Passenger Transportation Planning

Although walking is the dominant mode of transportation to transit facilities, there are strong variations by socio-demographics, geography, mode of public transit used and other factors. There is particularly a need to understand ways in which car owners who choose to use public transportation can be encouraged to carpool, walk or bicycle in the “first mile” and “last mile” of the transit trip, instead of driving. These considerations have implications for addressing cold start trips resulting from short drives to transit facilities, active transportation strategies that may benefit transit users who currently drive, and in deriving solutions for shared transportation such as bicycle-sharing and car-sharing programs. Using data collected in the Chicago Metropolitan Area, we investigate how the mode choice for the access trip to transit stations is related to costs, personal and household variables, trip characteristics, and neighborhood factors including crash frequencies, crime prevalence, neighborhood racial characteristics, population density, roadway density etc. for persons in car owning households. The results suggest that while much of the choice depends on personal and trip related variables, some neighborhood level factors as well as the provision of parking at transit stations have important relationships to mode choice that can influence built environment factors such as density and policy areas such as the provision and operation of transit parking facilities

Predatory Profiling: The Role of Race and Ethnicity in the Location of Payday Lenders in California

In California and elsewhere, African Americans and Latinos make up a disproportionate share of payday loan borrowers. CRL's analysis reveals that the racial and ethnic composition of a neighborhood is the primary predictor of payday lending locations, while playing a very minimal role in explaining the variation in the location of bank branches. As a result, payday lending storefronts are most heavily concentrated in African American and Latino communities. By contrast, the location of mainstream financial service providers such as banks can be largely explained by supply and demand factors such as the presenceof retail space