Past Grantees and Fellows

New York City has the largest number of sheltered homelessness in the country. This study will utilize the co-production of knowledge approach to collaborate with the residents of a transitional housing center in NYC, to design the appropriate supportive system to empower and prepare residents for a successful transition to their permanent housing.

Generative AI chatbots (e.g., ChatGPT) require skill to use effectively. We consider how social learning (human-human interaction) can shape how people approach Generative AI. Through interviews and observation of chatbot use in social conditions, we explore how people learn to prompt and apply AI tools.

On-skin interfaces are a fast-growing segment of wearable computing in daily life. However, the social aspects of using these devices remain underexplored. This project examines how on-skin interfaces could enhance and even create new forms of social experience and engage broader populations for inclusive design.

I will conduct a large-scale, multi-city field experiment to test whether providing comprehensive leadership training to police managers improves their skills as managers and the management practices within their organizations, and whether it reduces crime and harmful policing practices.

The CCSS fellowship allowed Sabrina Karim to launch her Gender and Security Sector Lab and submit six papers for review---spanning research topics related to electoral violence, health and security, refugees and education, war/crime victimization, and policing.  It also allowed Karim to finish a first draft of a co-authored book, "From Gender Equality to the Status of Women: Concepts and Measurement in Conflict and Peace Studies." 

This workshop added and integrated perspectives drawn from ecological systems into the socio-cultural context that defines pluralism, the objectives being: articulation of an enriched concept of pluralism; identification of new and integrated areas of research; and development of a strategy for further research. 

Large solar facilities are critical to meet the New York State’s ambitious climate and energy goals. This research will evaluate the monetary impacts of large solar farms on nearby farmland sales prices, and assess land use and crop choice changes following solar farm constructions using satellite data.

Negar's thesis is focused on understanding the challenges international students face as they communicate with their families remotely. Her goal is to contribute to theories related to family communication as well as designing new technological tools for this population. The grant also covered expenses of Atlas.ti and otter.ai (analysis and transcription tools).

Increasing number of fields resemble a winner-take-all market with limited pathways of status mobility for lower-status actors. Using both online and field experiments in the art market context, the proposed research will investigate structural and contextual interventions that can increase audience engagement with lesser-known artworks.

At the forefront of retail innovation, the metaverse offers extended brand-consumer experiences that stimulate creative abilities. Grounded in self-expansion theory, this project develops virtual retail spaces infused with psychological virtuality and unveils the mechanisms that amplify consumer creativity in our proposed retail settings.

This project investigates how mobility biographies emerge within the changing relationships of power, affection, and needs between adult-child caregivers and elderly care-receivers. By doing so, the project aims to present a more grounded way to understand how family caregivers perform the ordinary and nurturing forms of everyday care.

Data collection completed by 2009.

Trust and psychological safety in work environments benefit workers’ performance, learning, career satisfaction, and mental health. Students in higher education are deserving of these same benefits. We will use focus groups and experiments to adapt research-based trust-building strategies for higher education environments.

We evaluate how the choice of policy in ranking college applications affects different sociodemographic groups. Training on four years of application and decision data, we compare ML algorithms with different features removed (e.g., race/ethnicity, major preference) to understand how this changes the applicant ranking.

Nicholas Klein conducted interviews and fieldwork for an ongoing research project on low-income households’ precarious grasp on car ownership. He also used the time to publish several journal and magazine articles.