Projects

Measurement of partisan segregation for 180 million U.S. voters using advanced geospatial data science

Partisan segregation among people has important political and social implications. Historically, such measurements have been limited to county levels but this innovative work enabled Harvard researchers to analyze partisanship down to the level of individuals for the first time. In this work, CGA along with the Department of Government Professor Ryan Enos and graduate student Jacob Brown have leveraged advances in geospatial data science to measure partisan segregation down to the...

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Geographic Apportioning of Health Indicators for Policy Relevant Decision Making

For elected officials to best represent constituencies they serve, information must be presented and analyzed for the entire geographic extent of their constituency. Health indicators are often collected and reported at census geographies, or other units that do not conform to constituency boundaries. To address this lack of health data being reported at policy relevant geographies, the Harvard Center for Population and Development Studies Geographic Insights team (...

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U.S. Air Pollution Modeling

CGA created maps that display PM 2.5 and Ozone for the US by County from 2000 - 2012, which involved cross-tabulation of monitoring sites within  county boundaries.

Investigators:  Francesca Dominici and Christine Choirat, Department of Biostatistics, HSPH

Research Staff:  Fei Carnes, Jeff Blossom

...

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Out of Eden Walk

The Out of Eden Walk is a 24,000-mile journalistic endeavor to create a global record of human life at the start of a new millennium as told by villagers, nomads, traders, farmers, soldiers, and artists who rarely make the news.  Sponsored and hosted by National Geographic Society...

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WorldMap / Dataverse Integration

Dataverse and WorldMap have been integrated by adding APIs to both systems (Funded by the Boston Research Initiative)

Three types of Dataverse file:

  • Tables with columns containing latitude and longitude
  • Tables with a column of known codes which represent geometries, i.e.  Zip, Census, FIPs, etc.
  • Files of type “shapefile”, zip compressed.

For each of the 3 types one can:

  • Create data-driven map symbolization options
  • Obtain downloads in variety of spatial formats
  • ...
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OmniSci (formerly MapD) - explore the power of GPUs in spatiotemporal analytics

Funded by OmniSci Technologies, LLC. as a member of the I/UCRC Spatiotemporal Innovation Center
Can be hosted on Harvard Cannon Cluster, Amazon AWS, Mass Open Cloud, MapD Cloud.

Use cases:

  • Improving access to hydrological models used in water management and public safety
  • Analyzing how political partisanship affects the geographic sorting of voters

See...

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