Dr Kevin Credit
National Centre for Geocomputation (NCG), Social Sciences Institute (MUSSI), Geography, Hamilton Institute
Biography
As an Assistant Professor at the National Centre for Geocomputation at Maynooth University, my research broadly focuses on understanding how machine learning (ML) and artificial intelligence (AI) approaches can be designed to more explicitly integrate spatial information and spatial ways of thinking, assess problems of causal inference, and provide better insight into the explanatory relationships driving model results. This includes recent work on developing causal machine learning models for spatial data, which is a growing area of interest in both my research and teaching. I am also interested in AI as a subject of economic analysis in its own right, including the (spatial) environmental and economic connections embedded in the AI value chain as it continues to develop.
As a former urban planner, my work also addresses a range of substantive topics related to cities, including 1) walkability, non-auto commuting patterns, and the economic and environmental impacts of transportation systems; 2) energy efficiceny and retrofitting activity in residential buildings (and how these fit into larger urban energy and transportation sytems); and 3) the social, spatial, and environmental determinants of health and well-being (among others).
I serve on the Editorial Boards of Information Geography and the Journal of Geographical Systems, and am a Committee Member of the Irish Transportation Research Network, an Affiliate Member of the Maynooth University Hamilton Institute, an Academic Collaborator at the ADAPT Centre for Digital Media Technology in the Digital Content Transformation (DCT) Strand, and a Fellow of the Center for Spatial Data Science at the University of Chicago. I received my PhD in Geography from Michigan State University in 2018.
Follow me on BlueSky, Google Scholar, ResearchGate, and LinkedIn for periodic research updates, as well as GitHub for open source code implementations.