Mehak Sachdeva portrait

Mehak Sachdeva

Assistant Professor of Urban Science

Biography

Mehak Sachdeva is an assistant professor in computational urban science at the Department of Urban and Regional Planning at Florida State University. Prior to joining FSU, she was an urban science faculty fellow at the Center for Urban Science + Progress at the Tandon School of Engineering at NYU. Mehak also has previous experience as a postdoctoral researcher at the spatial analysis research center at Arizona State University from where she also graduated with a Ph.D. in Geographic Information Science in 2022. Her research develops spatially explicit methods and models to analyze how spatial context and social interactions affect human behavior, choices, and decision-making, especially pertaining to understanding social phenomena such as election outcomes, disease spread, resilience to natural hazard vulnerability, and social dynamics leading to residential choices. Relatedly, her research also delves into the measurement of the spatial extent/scale across which such place-based contextual effects might vary and how such spatial variances could help inform tangible, place-based social policy interventions. Her research hence lies at the intersection of spatial statistics, computational social science, and urban planning and social policy.

Prior to pursuing academia, she had experience working at Carto, a web-mapping software company, and key government organizations such as the New York City Economic Development Cooperation and the New York City Planning Department at Staten Island.

Department

Department of Urban & Regional Planning

Education
  • Ph.D. in Geographic Information Science

    Arizona State University, 2022

  • M.S. in Urban Planning

    Columbia University, 2016

  • Bachelor of Architecture in Architecture

    The Maharaja Sayajirao University of Baroda, India, 2013

Selected Publications
  • International Journal of Geographic Information Science

    37(10), 2238-2261.

    On the Local Modeling of Count Data: Multiscale Geographically Weighted Poisson Regression.

    Sachdeva, M., Fotheringham A.S., Li, Z., & Yu, H. (2023)

  • Journal of Spatial Information Science

    A Geographical Perspective on Simpson’s Paradox.

    Sachdeva, M., & Fotheringham, A.S. (2023)

  • Journal of Housing Research

    Do places have value? Quantifying the intrinsic value of housing neighborhoods using MGWR.

    Sachdeva, M., Fotheringham, A.S., & Li, Z. (2022)

  • Journal of Geographical Systems

    Scale and Local Modeling: New perspectives on the modifiable areal unit problem and Simpson’s Paradox.

    Fotheringham, A.S., & Sachdeva, M. (2022)

  • Spatial Statistics

    On the importance of thinking locally for statistics and society.

    Fotheringham, A.S., & Sachdeva, M. (2022)