The workshop in environmental
economics and data science

air quality machine learning inequality remote sensing visualization reproducibility health spatial data analysis truth

Join us remotely on 29–30 October 2020 (rescheduled) for the second iteration of TWEEDS—an intimate workshop focused on the methodological frontiers of environmental economics and data science.

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when + where

29–30 October 2020 (rescheduled)
Remote due to COVID-19
Registration costs waved this year

Applications were due 05 January 2020.

Please contact with any additional questions.



Keynote speaker and presenters currently on the agenda.

Keynote speaker

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Seema Jayachandran

Development, Health, and Enviro. Economist
Northwestern University

Confirmed/invited presenters

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Marshall Burke

Environmental and Development Economist
Stanford University and Atlas AI

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Fiona Burlig

Energy and Development Economist
University of Chicago

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David Kroodsma

Director of Research and Innovation
Global Fishing Watch

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Brian Sullivan

Systems Engineer and Program Manager
Google Ocean & Earth Outreach


Some of the topics that the workshop will feature...

Remote sensing

Increasingly, environmental analysis relies upon mixtures of satellite monitors, in-situ monitors, and a number of other monitoring devices.

Geospatial analysis

High-resolution spatial data, spillovers, externalities, ...

Machine learning

It's hard to spell "data science" without "machine learning."


Creating stunning, accurate, and informative graphics.

Workflow and transparency

Cloud-computing resources, data management tools for large datasets, laying the foundations for open/transparent science


And we plan to make time for fun... it is Portland, afterall. Donuts, coffee, pickles, ...


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