Disclaimer: any errors on this website are in fact an attempt to transcend the reality circumscribed by the limits of language.
Hi, I'm Drew. Welcome to my organic, GMO-free, fair trade website! I am a postdoctoral associate at the Duke University Nicholas School of the Environment and an incoming assistant professor of environmental studies and sciences at Oberlin College; also, my mind's eye exists only in a figurative sense. Be aware that this website is very large, and some of it is randomly generated. For the full experience, reload a bunch of times and navigate as follows:
- If you are interested in my SCIENTIFIC WORK: In my scientific research, I use satellite data to track pollution back to its source and monitor emissions in real time, and I maintain free open-source software that allows others to do the same. If you want to learn more, check out out my ongoing projects, research papers, conference presentations, and environmental datasets. Everything is open access, and you can find a general-audience explanation of each of the publications I led in my newsletter.
- If you are interested in my INTERDISCIPLINARY WORK: My interdisciplinary work imagines how humanity can democratically govern itself in an age of environmental crisis. With collaborators, I imagine the sorts of institutions and protocols that advance economic democracy within planetary boundaries, with an emphasis on connecting science with social movements. This work has taken the form of books, video games, public writing, and academic publications.
- If you are interested in MY CV: you can download it here.
- If you are interested in MISCELLANEOUS: This website is big because I have had it since high school and I don't delete things. If you search for it, you can find ephemera I have made over the years, including original music.
- If you are interested in HUMAN CONTACT: I can be reached at drew [at] drewpendergrass [dot] com or at the academic address in my CV. For upcoming events, check out my events page. You can follow me on Bluesky or LinkedIn. The best way to follow my work is to subscribe to my newsletter below (expect emails every six months or so at most):
Upcoming events
Talk: Socialismo di Metà-Terra book tour (Florence, Italy)
Date: 23 March 2026 at 7pm CET (approximate)
Location: GKN factory
I will discuss the Italian translation of my book at the occupied GKN factory in Florence.
Talk: Socialismo di Metà-Terra book tour (Bologna, Italy)
Date: 24 March 2026 at 5pm CET
Location: University of Bologna
I will discuss the Italian translation of my book at the at the interdepartmental seminar "Ecologie Algoritmi Poteri" in Bologna.
Talk: Socialismo di Metà-Terra book tour (Turin, Italy)
Date: 25 March 2026 at 5pm CET
Location: Campus Luigi Einaudi
I will discuss the Italian translation of my book with Dario Padovan in Turin.
Additional events, future and past, are available on my events page.
Featured science!
Pendergrass, D. C., Jacob, D. J., Oak, Y. J., Dang, R., Yang, L. H., Beaudry, E., Colombi, N. K., Zhai, S., Kim, H., Choi, J., Park, J., Kim, S., Li, K., & Liao, H. (2025). Wintertime Trends of Fine Particulate Matter (PM2.5) in South Korea, 2012–2022: Response of Nitrate and Organic Components to Decreasing NOx Emissions. Geophysical Research Letters, 52(19), e2025GL116091. Link to paper (open access). Link to PDF. Read a general audience explainer.
Figure: DJF PM2.5 and trends in South Korea. Panels (a) and (b) show DJF mean PM2.5 at AirKorea surface stations in (a) 2012 and (b) 2022. PM2.5 monitoring at these stations started in 2015, and data for 2012 is from a synthetic PM2.5 network produced using a random forest (RF) algorithm applied to the station data including PM10 (Pendergrass et al., 2025). Panel (c) shows the DJF emission-driven trend in PM2.5 after removing meteorological influence with a multi-linear regression (MLR) fit. Panel (d) shows observed DJF PM2.5 averaged over 25 sites in the city of Seoul, disaggregated into daytime (8-18 LT) and nighttime (22-5 LT) for weekdays and weekends. Panel (e) shows the emission-driven PM2.5 timeseries (residual from the meteorological MLR model) for the Seoul 0.25°×0.3125° grid cell (centered at 37.5°N,127.0°E) and averaging data from 37 sites.
You can learn more about my research on the projects page, or you can read through all of our scientific papers and presentations on their respective pages.
A featured interdisciplinary project!
A paper on the politics of Earth System models
Abstract. This paper explores the political uses of images generated by Earth System science. It argues that images of possible climate futures, maps of potential worlds of heatwaves and wildfires, are made legible to policymakers by an alliance with a class of climate-economy models that associate scientific estimates of climate impacts with a prescribed international policy and technology mix. While environmental models have successfully mobilized policymakers in the past by providing images of “planetary scenarios” accompanying different emissions pathways, with climate change a political actor outside the administrative state is required to overcome the entrenchment of fossil capital. The paper suggests such actors are empowered not by the rhetoric of scenario modeling but by the emerging practice of “planetary sensing,” where activists and stakeholders directly mobilize the planetary images generated by Earth System science as they work to evacuate prisons, track pollutants, and repair pipelines.
Pendergrass, D. C. (2024). "From planetary scenarios to planetary sensing: Models, observations, and political legibility." The Anthropocene Review. 20530196241270716. doi:10.1177/20530196241270716 | Read it here.
Read more of my writing here.
A random interview
Nichtstun fürs Klima! Brecht’s Daoism, Useless Trees and the Action of Non-Action (video)
12 February 2026 | Watch here
My co-author Troy Vettese and I talk about the surprising resonances between the playwrite Bertolt Brecht and Laozi: both figures praise forms of non-action and uselessness. In conversation with Heinrich Detering and Alexander Karschnia, comment on the implications for climate action.
Additional interviews are available on my interviews page.
All the cool kids are using CHEEREIO!
CHEEREIO is a tool that uses observations of pollutants in the atmosphere, measured from satellites or surface stations, to correct supercomputer models that simulate the Earth. Powerful use cases for CHEEREIO include tracking pollution back to its source, even if there are no local observations on the ground, and monitoring greenhouse gas emissions in near-real-time. Read more on my projects page or the offical CHEEREIO site.
