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Hi, I'm Drew. Welcome to my gluten-free, artisanally-crafted, GMO-free 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, I am reluctant to resort to black magic. 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:
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.
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.
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.
Pendergrass, D. C., Jacob, D. J., Nesser, H., Varon, D. J., Sulprizio, M., Miyazaki, K., & Bowman, K. W. (2023). CHEEREIO 1.0: A versatile and user-friendly ensemble-based chemical data assimilation and emissions inversion platform for the GEOS-Chem chemical transport model. Geoscientific Model Development, 16(16), 4793–4810. Link to paper (open access). Link to PDF. Read a general audience explainer.
Figure: Schematic of CHEEREIO runtime routines and job control procedures. CHEEREIO is run as an array of m separate jobs on a computational cluster, one for each ensemble member. These m jobs, operating in parallel, alternate between running GEOS-Chem and running the LETKF algorithm for a subset of grid cells, as shown by the light yellow boxes; the m jobs are coordinated by a single job controller shared by the entire ensemble (shown in light red), ensuring that the ensemble remains synchronized. Boxes in blue show data input into CHEEREIO processes.
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.
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.
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 and media are available on my interviews page.
"So fun you won't even need friends!"