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Priya L. Donti

@priyald17.bsky.social
180 followers 350 following 28 posts

Assistant Professor, MIT | Co-founder & Chair, Climate Change AI | MIT TR35, TIME100 AI | she/they

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Priya L. Donti @priyald17.bsky.social · 09/06/2026
Super excited for this year's CCAI Virtual Summer School. To be effective, #AI for #climate action must be shaped ground-up by diverse stakeholders from around the world. This program provides essential knowledge & skills to help more people engage. Consider registering and/or spreading the word!
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Sara Beery @sarameghanbeery.bsky.social · 07/05/2026
We are VERY excited to announce the call for applications has just been released for the 5th CV4Ecology Short Course!! This two-and-a-half-week intensive program trains ecologists and conservation practitioners to develop their own AI tools for their own data. Tell your friends! Apply now!
cv4ecology.csail.mit.edu
Call for Applications
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Priya L. Donti @priyald17.bsky.social · 05/12/2025
On my way to #NeurIPS2025! Let me know if you're around and want to catch up :) I’ll be at the Tackling Climate Change with ML workshop: climatechange.ai/events/neuri... And look forward to participating in a panel at the AI for Science workshop: ai4sciencecommunity.github.io/neurips25.html
climatechange.ai
Tackling Climate Change with Machine Learning
NeurIPS 2025 Workshop: Tackling Climate Change with Machine Learning
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Priya L. Donti @priyald17.bsky.social · 26/11/2025
Excited to share our new NeurIPS 2025 paper: "FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees" Paper: arxiv.org/abs/2506.00362 Code: github.com/MOSSLab-MIT/... MIT News article: news.mit.edu/2025/faster-...
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Priya L. Donti @priyald17.bsky.social · 25/11/2025
We're recruiting for the Climate Change AI core team! 🌍 Core team volunteers play a vital role in shaping CCAI’s work. Join us in our efforts to foster responsible AI for climate action by democratizing expertise and enabling effective coordination across sectors, disciplines, and geographies 💪
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Priya L. Donti @priyald17.bsky.social · 17/11/2025
⚡Excited to share our work "PFΔ: A Benchmark Dataset for Power Flow under Load, Generation, & Topology Variations," to be presented as part of the #NeurIPS 2025 Datasets & Benchmarks Track Led by my students Ana K. Rivera, Anvita Bhagavathula, & Alvaro Carbonero 1/
Title, author list, and abstract for PF∆.

Title: PFΔ: A Benchmark Dataset for Power Flow under Load, Generation, and Topology Variations

Authors: Ana K. Rivera, Anvita Bhagavathula, Alvaro Carbonero, Priya Donti

Abstract at: https://arxiv.org/abs/2510.22048
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Priya L. Donti @priyald17.bsky.social · 21/10/2025
It was such an honor to meet and work with this incredible group of 25 changemakers from across different Amazonian countries, to provide training on AI & climate change and discuss practical pathways forward. Resources and results of this initiative will be launched at #COP30 - stay tuned!
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Priya L. Donti @priyald17.bsky.social · 14/10/2025
"In a single week, AI processed many thousands of images each night, in which experts detected 2,000 moth species—half of them unknown to science." Cool article on AI for large-scale biodiversity monitoring, feat. my awesome colleague @drolnick.bsky.social! www.theatlantic.com/science/2025...
theatlantic.com
The Machines Finding Life That Humans Can’t See
A suite of technologies are helping taxonomists speed up species identification.
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Priya L. Donti @priyald17.bsky.social · 14/10/2025
Thank you to MIT News for the kind feature! ⚡️☀️ news.mit.edu/2025/fightin...
news.mit.edu
Fighting for the health of the planet with AI
A profile of MIT Assistant Professor Priya Donti explores her approach to applying machine learning to optimize renewable energy.
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Priya L. Donti @priyald17.bsky.social · 13/10/2025
MIT on the USG's Compact promising preferential treatment in exchange for specific on-campus changes: "Fundamentally, the premise of the document is inconsistent with our core belief that scientific funding should be based on scientific merit alone" orgchart.mit.edu/letters/rega... 💪
orgchart.mit.edu
Regarding the Compact | MIT Organization Chart
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Priya L. Donti @priyald17.bsky.social · 28/08/2025
Beyond humbled to be on this year's #TIME100AI. AI can be an asset for climate & energy -- but only if its development is guided by actual climate needs & planetary limits. Shoutout to those in the community working to shape a responsible, equitable, climate-aligned AI future 🌍💪
Priya Donti's picture in the TIME100 AI frame
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Climate Change AI @climatechangeai.bsky.social · 26/08/2025
We are pleased to announce the AI Climate Academy partnership! 📅Pilot workshop from Oct 13 to 17, 2025, to be held in Belém, Brazil. 🚨Call open for participants from Amazonian countries. Deadline: Aug 29, 2025: itsrio2.typeform.com/AIClimate
itsrio2.typeform.com
AI Climate Academy COP 30
Applications are now open for the AI Climate Academy pilot workshop, aimed at strengthening capacities in artificial intelligence (AI) applied to climate action in the Amazon region.
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Priya L. Donti @priyald17.bsky.social · 02/07/2025
Excited to share RL2Grid, an RL benchmark for power grid operations ⚡ We present tasks and environments for grid topology optimization, an important challenge in power systems that encompasses a number of open research questions in RL. Check it out! More details below ⬇️
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David Rolnick @drolnick.bsky.social · 29/05/2025
Our paper on detecting abandoned oil wells with machine learning, led by @pratinavseth.bsky.social, is accepted at ICML 2025! These wells are a major source of emissions (and groundwater pollution). More details in the thread, and preprint here: arxiv.org/abs/2410.09032
arxiv.org
Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery
Millions of abandoned oil and gas wells are scattered across the world, leaching methane into the atmosphere and toxic compounds into the groundwater. Many of these locations are unknown, preventing t...
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Bryan Wilder @brwilder.bsky.social · 26/05/2025
Should LLMs be used to review papers? AAAI is piloting LLM-generated reviews this year. I wrote a blog post arguing that using LLMs as reviewers can have bad downstream consequences for science by centralizing judgments about what constitutes good research. bryanwilder.github.io/files/llmrev...
bryanwilder.github.io
Equilibrium effects of LLM reviewing
Equilibrium effects of LLM reviewing
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Sara Beery @sarameghanbeery.bsky.social · 04/12/2024
I started to put together a starter pack for research in AI+Ecology, check it out and let me know if you would like to be added! go.bsky.app/8zugFF6
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