Excited to take part in this year’s Assembly program focused on ethics and governance of artificial intelligence co-hosted by MIT Media Lab and Berkman Klein Center for Internet & Society!

Come check out our spotlight talk on segmenting wildfire smoke plumes from satellite imagery and lots of other awesome work at #ICML2021’s Tackling Climate Change with Machine Learning workshop organized by Climate Change AI! w/ Marshall Burke

New working paper out with a big team. We show how data from private pollution sensors, cell phones, social media, and search activity give new insights on exposures and behavioral responses during large wildfire smoke events. Quick thread. nber.org/papers/w29380

Quick thread on a paper we had out last week on wildfire smoke in Nature Human Behaviour. Take-home is that current policy approaches to protecting folks from wildfire smoke exposure are pretty inadequate. Paper here nature.com/articles/s4156… (1/n)

We have a new paper + dataset out today measuring daily wildfire smoke PM2.5 across US back to 2006, expertly led by Marissa Childs StanfordECHOLab . Below is an animation of 2020 data. paper: doi.org/10.1021/acs.es… data: stanfordecholab.com/wildfire_smoke Quick thread below

Excited to share our new paper looking at the impacts of wildfire smoke on student test scores across the US! Thanks to Marshall Burke StanfordECHOLab for all the support and check out this research briefing for a summary of the research. nature.com/articles/s4189…

Cool new study on wildfire smoke attribution from Jeff Wen Marshall Burke Patrick Baylis & Judd Boomhower nytimes.com/2023/06/28/cli…

New PNASNews paper on quantifying fire-specific smoke impacts, expertly led by Jeff Wen. We link each big wildfire (2006-2020) in the US to its impact on PM2.5 and health. Complements typical fire impact measures (burned area, structures lost, etc). 🧵pnas.org/doi/10.1073/pn…