Emerging Advances in Artificial Intelligence for Environmental Health Research and Decisions

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June 6-7, 2019

National Academies of Sciences, Engineering, and Medicine
Keck Center, Room 100
500 5th Avenue NW
Washington, DC 2001

This event is free to attend and will be webcast live on our home page

 

 

Artificial intelligence (AI), or the ability of computer algorithms to carry out “smart” tasks, is transforming many aspects of modern life. These tools are beginning to be applied to environmental health in areas such as characterizing sources of pollution, predicting chemical hazards and toxicity, estimating human exposures, and identifying health outcomes. However, there are questions about the transparency, reproducibility, and interpretability of the algorithms. This meeting will discuss different types of AI that can be applied to environmental health.

 

Held in Washington D.C. and webcast live, this workshop organized by the Standing Committee on the Use of Emerging Science for Environmental Health Decisions will provide an overview of AI and discuss the differences between AI and other mathematical and statistical models. The workshop will also have interactive discussions about the potential promise and perils related to the use of AI predictions for environmental health decisions.

 

If you have any questions for the event organizers or would like to request accommodations, please contact Jessica De Mouy at JDeMouy@nas.edu.

 

This National Academies of Sciences, Engineering, and Medicine activity is sponsored by the National Institute of Environmental Health Sciences (NIEHS).

 

Meeting Details (coming soon)

  • Workshop Agenda
  • Speaker, Panelist, and Moderator Bios
  • Speaker Abstracts

 

Workshop organizing committee: Kevin Elliott, Michigan State University, Nicole Kleinstreuer, National Institutes of Health, Patrick McMullen, ScitoVation, Gary Miller, Columbia University, Bhramar Mukherjee, University of Michigan, Roger D. Peng, Johns Hopkins University, Melissa Perry, The George Washington University, Reza Rasoulpour, Corteva Agriscience.

 

Staff Leads

 

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