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Grant West

397 days ago
Unfiled. Edited by Lea Shanley , Grant West 397 days ago
Lea S
  • Meeting 2: Nov 14, 2:30 - 3:30 pm ET
Synthetic Population Demo | Webcast
Join Virtual Meeting here | Participant Code: 332342
Audio connection: +1-866-244-8528
On behalf of the South Big Data Hub Health & Environment communities, Bill Wheaton, Senior Geospatial Scientist, and Jay Rineer, Director, Geospatial Science and Technology program at RTI International, will describe the structure, content, and applications of a Synthetic Population of the U.S. 
The Synthetic Population is a computer representation of each household and individual in the U.S. where household-level and person-level characteristics match census aggregated counts at the census block group level and locations of each synthetic household match high resolution population density estimates.
For more information contact:
William Wheaton   wdw@rti.org;   Alan Blatecky - arblatecky@gmail.com
Synthetic Microdata Household Data Viewer: http://synthpopviewer.rti.org 
Bill Wheaton is a Senior Geospatial Scientist and former director of the Geospatial Science and Technology Program at RTI International. He has more than 30 years of experience applying geographic information systems (GIS) technology in environmental and social science research.  Mr. Wheaton has led the development of several national synthetic population databases for the U.S. and a variety of other countries.
James (Jay) Rineer is the Director of RTI’s Geospatial Science & Technology program.  He is a registered professional civil engineer with over 15 years of experience as a geographic information systems (GIS) application developer, water resources engineer, and project manager. He specializes in the design and development of Web-based, desktop, and mobile tools using a variety of GIS and database technologies, application frameworks, and libraries. Mr. Rineer serves as the project manager, architectural, or technical lead on a variety of key RTI projects for the U.S. Environmental Protection Agency (EPA), commercial clients, research projects, and commercialization efforts.
Participants (please add your email address)
  • Alan Bletechy, RTI
  • Bill Wheaton, RTI
  • Grant West, University of Arkansas, gwest@uark.edu
  • Malay, VA Tech
  • Rene Baston, NE Big Data Hub
  • Chris Smith-Naill
  • Jarrod
  • Elena
  • Jian Chen, University of Maryland
  • Lisa Stillwell, RENCI
  • Stan Ahalt, South Big Data Hub
  • Lea Shanley, South Big Data Hub: lshanley@renci.org 
  • Stan Ahalt: would it be possible to geographically report health outcomes
  • Rene: We have a project focused on mapping a 700million patient record EMR to exposome data.  It would be great to connect you to that project.
  • Grant West: Is there a basic leve of richness that a survey dataset might need for enriching the synthetic dataset?
  • Jian Chen: I ran late to the meeting, could you please your dasymetric mapping method again?

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