The Cornell Atkinson Center for Sustainability forges new and unexpected connections that catalyze extraordinary change.

Ithaca, NY
Our Climate Week NYC 2026 agenda is live! 🗽 From Sept 20-27 in NYC, @Cornell researchers & partners will bring research, ideas & collaboration to the conversations shaping a more sustainable future. ⚡ Explore our agenda: atkinson.cornell.edu/project…
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#ClimateWeekNYC 2026 is almost here ⭐️ In just a few days, the @Cornell delegation will lead and engage in conversations on AI, climate finance, critical minerals, nuclear energy, circularity & more. 📌 Your guide to Cornell at Climate Week NYC: atkinson.cornell.edu/project…
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Are you a DVM (or equivalent) interested in pursuing a PhD in wildlife health? Now accepting applications for the Cornell K. Lisa Yang Center for Wildlife Health Graduate Fellowship! Apply by Dec 1, 2026. Please share! @wildlifecornell Learn more: vet.cornell.edu/education/bi…
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Check out the full episode below and subscribe on YouTube or wherever you get your podcasts. piped.video/watch?v=DbYBU2SF…
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Climate Week NYC: @Cornell and global leaders will gather at Climate Week NYC, Sept. 20-27, to discuss some of the world’s most pressing #sustainability challenges, including harnessing AI’s power while mitigating its negative impacts. @AtkinsonCenter news.cornell.edu/stories/202…
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What if the building coming down next door could become the one going up down the street?
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Today Emily Bernhardt joins @Cornell as the new Director of the Cornell Atkinson Center for Sustainability and professor in @CornellCALS! Welcome, Emily! 🎉 Learn more about Emily and her background: atkinson.cornell.edu/profile…
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📍Your guide to @Cornell at Climate Week NYC 2026 From AI and climate finance to energy, critical minerals, circularity and more, we are convening researchers and partners at events across NYC Sept 20-27. 📌 Browse the full agenda: atkinson.cornell.edu/project…
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Researchers at Cornell have created an interactive map identifying 1.8 million individual trees in New York City, with a new approach that could optimize the placement of trees for cooling in cities around the world. In the study, researchers identify the types of trees using satellite imagery as well as on-the-ground datasets and 3D data collected with lidar, short for light detection and ranging. The approach was 82% accurate overall and higher for common types of New York City trees. It’s the first “wall-to-wall,” citywide map identifying trees in natural areas and other unsurveyed areas, which together constitute an estimated 65% of the city’s canopy and have not been accounted for on previous maps. The research team will use the map to determine which trees are best for cooling, and the data could inform a host of other planting decisions where the type of tree makes a difference, from reducing allergens to managing invasive pests. Read more: news.cornell.edu/stories/202…
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Join us at Scaling Global Climate Solutions through Culture and Heritage @ #ClimateWeekNYC 2026 🗽 🗓️ Friday 9/25 | 8-11:30 a.m. 📍 Cornell Tech | Gensler Family AAP NYC Center → Open to the public, registration required: eventbrite.com/e/scaling-glo…
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How is AI reshaping the institutions that shape us? Cornell Atkinson Center for Sustainability joins the 2026 Concordia Annual Summit to explore what leading, teaching, and learning look like for higher education in the age of AI. Save your seat: bit.ly/ts-ann26-twitter @Cornell @AtkinsonCenter #Concordia26
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Join us at Finance for the Future! @ #ClimateWeekNYC 2026 🗽 📍570 Lexington Avenue, NYC 🗓️ Monday 9/21 | 8-11:30 a.m. → Open to the public, registration required: web.cvent.com/event/8f60c9ae…
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New study: World off-track on nearly every food system goal, latest assessment reveals For the first time, the research measures how food systems are actually performing, and how much more needs to improve to meet globally set targets. 📌 news.cornell.edu/stories/202…
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Satellite-derived maps of defoliation caused by European spongy moths – a devastating U.S. forest pest that consumes the leaves of a wide variety of trees – offer a promising solution for tracking where and when to spray, and for identifying large scale trends and conditions that lead to pest outbreaks, according to a new study from @CornellCALS and @CornellCAS funded in part by the @AtkinsonCenter. news.cornell.edu/stories/202…
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Can sustainable rubber production support both biodiversity & local livelihoods? 🌿 A @Cornell doctoral candidate is using AI-powered BirdNET Analyzer from @CornellBirds to study how rubber agroforestry can benefit birds & farmers in the Amazon ➡️ news.cornell.edu/stories/202…
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“In my view, the data and transparency [are] the hardest part. If you get the data, we are very good at using data to make decisions. But if the data are not comprehensive enough or even somehow misleading, there could be a challenge.” - says Fengqi You (@CornellEng) in @sciam
The nation’s first statewide moratorium on new hyperscale facilities gives officials up to one year to work out how to measure their environmental effects amid the AI building boom spklr.io/6016EPmE0
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A full-scale shift toward healthier diets, combined with improved farm productivity and a halving of food waste, could reduce global agricultural land use roughly 6% by 2050 – an area the size of India – and lead to a 42% decline ($630 billion) in global livestock production value, according to a sweeping new analysis published in the May edition of Nature. That reversal would be historically unprecedented, marking one of the first sustained contractions in farmland in modern history. The reason is straightforward but profound: a world that eats differently, farms differently. “This work underlines that the scale of this change is huge and the policy ambition has to be commensurate with the challenge,” said Matthew Gibson, former postdoctoral associate in the Food Systems and Global Change research group in the @CornellCALS Ashley School of Global Development and the Environment. “We have to think about a coordinated push involving governments, industry, and consumers alike.” More: news.cornell.edu/stories/202….
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