Projects

We extend our gratitude to the Office of the Vice Provost for Research (OVPR) at Harvard University for funding this work. We would like to thank our collaborators at FAS Research Computing (FASRC) and the New England Research Cloud (NERC) for providing...

This work, funded by the Office of the Vice Provost for Research to strengthen Harvard's Geographic Information Systems (GIS) infrastructure, enables researchers to execute geospatial Big Data and Data Science projects, across diverse research use cases...

About the CLIMB project Climate change (interlinked with humanitarian crises and other economic and health factors) could lead to internal resettlement, international migration, and other (new) forms of human mobility. However, the empirical link between...

Harvard's Map of Inclusive Symbols and Spaces (MISS) was unveiled on June 6th, 2023 at the Harvard IT Summit. The map was made posssible by a CLIF grant and is sponsored by Harvard’s Office for Equity, Diversity, Inclusion & Belonging, Harvard Business...

For this project the CGA used county data and the ArcGIS "Disperse points" tool to create the map below, featured in the publication: Identifying outlier patterns of inconsistent ambulance billing in Medicare.

Network Analysis is a commonly encountered problem in GIS. Researchers are increasingly working with big geospatial datasets that contain millions of records. At this scale, traditional GIS methods of network analysis fall short and new approaches are...

Coastal mangrove forests provide important ecosystem goods and services, including carbon sequestration, biodiversity conservation, and hazard mitigation. However, they are being destroyed at an alarming rate by human activities. To characterize mangrove...

This project involved creating geospatial measures for ~2,000 public firms from the Infogroup US Historical Business Dataset. One of the tasks involved calculating the following variables at the census block group level from the dataset for 23 years of...

The list of work order tickets for Detroit provided by the researcher was converted into a GIS polygon data set containing 355,500 polygons using Python script in ArcGIS Pro. Polygons were mapped using the string of coordinates found in the “Polygon”...