Contact information

Data and software from the Mapping Energy History project are available on request. To make a request, or to be put on an email list for Sankey project updates, email: MappingEnergyHistory@uchicago.edu, with subject header “SANKEY”.

These projects are ongoing and we would especially welcome inquiries from:

  • Energy historians who are interested in collaborating on visualizing energy datasets from the U.S or additional countries. Our tools and software are meant to be shared and we can facilitate your use. We are especially interested in supporting projects that cover India, Sweden, and France in the modern era, the U.K. from the Industrial Revolution onwards. For our work on China we would welcome collaboration on biofuel usage in particular.
  • Professionals in academia or the energy industry with comments, feedback, or additional data that can inform or improve this project. Did we leave out an important milestone? Omit a source of information on some energy flow? Please let us know.
  • Graduate students, postdocs, and data scientists seeking research opportunities, either as a collaboration or a funded position at U. Chicago. For funded positions, we are seeking candidates with backgrounds in geospatial visualization and/or some combination of energy, Earth science, environmental studies or history.
  • Volunteer programmers interested in creating new tools to inform the public and build appreciation for the complexity and history of our energy system.
  • Teachers interested in developing educational modules from this material (best at high school to university level). If you used this tool in your class, please send us feedback. For additional K-12 + university teaching resources, email MappingEnergyHistory@uchicago.edu with subject header “ENERGY TEACHING”.
  • Historians or industry professionals interested in helping us expand the online tool with further in-depth information for the historical milestones.
  • Members of the press or policy communities interested in understanding how these data were generated and how they relate to our potential future choices.
 
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