The Civic Analytics Graduate Student Fellowship invites applications for two (2) urban data science research assistantships at the NYU Marron Institute for Spring/Summer 2020. MS and PhD students from all urban and data science disciplines and programs across NYU are welcome to apply, and we seek a diversity of disciplinary training, backgrounds, and perspectives. The Fellowship projects are data-focused, so expertise in data science, machine learning, statistical modeling, spatial analysis and visualization, network analysis, etc., is preferred. The Fellows, as part of the Civic Analytics Program at the Marron Institute, will work alongside researchers in the Urban Intelligence Lab on data analytics projects to address critical urban operational and policy challenges and drive positive social impact. Central to this work is a focus on identifying, understanding, and addressing data bias and fairness in public sector algorithmic decision-making
Fellows will work on research teams with city agencies and non-profit organizations to utilize data analytics to provide new insight, knowledge, and opportunities for action in cities. Fellows will learn to scope and define data science projects, assemble and integrate a range of data necessary for analysis, and deliver models and analysis to support policy goals and objectives. Thematic areas of focus include climate change and mitigation, building sustainability and energy efficiency, disaster response and management, 311-based predictive modeling, real estate analytics, neighborhood change, and social justice.
Fellows benefit from working closely with, but external to, the city agencies themselves. This autonomy gives the fellows the opportunity to work on a range of project types and provide objective, rigorous analysis that addresses the problem at hand. The positioning of the Fellowship program at the Marron Institute ensures that impact-driven projects are balanced with fundamental research advanced through widely-disseminated research that is transparent and reproducible. Fellows can expect to:
- Work on one (or more) analytics research projects as part of the Civic Analytics research team, including two National Science Foundation-funded projects.
- Produce data tools, visualizations, models, code, and recommendations to city agencies.
- Contribute, as appropriate, to conference and journal publications and case studies.
To apply, please submit the following:
- A cover letter (no more than 1 page) summarizing your experience and training related to the above requirements, together with a statement of how the Fellowship would further your career goals and aspirations.
Application materials should be emailed as a single PDF to email@example.com no later than January 31st, 2020. Positions are for the Spring 2020 semester, with extension possible for the Summer 2020 semester.