 
            
              Priya L. Donti
            
            @priyald17
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              Assistant Professor @MIT | Co-founder & Chair @ClimateChangeAI | MIT #TR35, #TIME100AI | she/they
              
              Cambridge, MA, USA
            
            
              
              Joined November 2014
            
            
           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 🌍💪 
          
                
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             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 will be launched at #COP30 - stay tuned! 
           Last week, we co-hosted the pilot workshop of the AI Climate Institute in Brazil, as part of the preparatory activities for #COP30. We want to thank all organizers, facilitators and supporters! 💚🌎 Learn more:  https://t.co/Wyv8KgWaP3 
            
            
                
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             "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 @david_rolnick!  https://t.co/hZX1zZScL9 
          
          
            
            theatlantic.com
              A suite of technologies are helping taxonomists speed up species identification.
            
                
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             Thank you to MIT News for the kind feature! ⚡️☀️ 
           🌱🤖 Fighting for the health of the planet with #AI. LIDS PI Priya Donti is applying machine learning to optimize renewable energy. 💡🔌 Read a profile about Donti’s work and research at MIT News:  https://t.co/iglRHEusLx 
            
            
                
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             Context on the email sent to 9 universities, including MIT:  https://t.co/5s7qe9Hw0Z  Text of the Compact: 
          
            
            apnews.com
              The White House is asking nine major universities to commit to President Donald Trump’s political priorities in exchange for more favorable access to federal money.
            
                
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             CO2 Coalition Chair Dr. William Happer discusses Climate "Science" on the Joe Rogan Experience 
          
                
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             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"  https://t.co/7vIFlqjsBq  💪 
          
                
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             Just got termination notice of a federal grant focused on grid resilience and expansion. How does this support the goal of energy abundance? 
          
                
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             It was an absolute pleasure to give a talk at the Computing and Sustainability Seminar, hosted by MIT's Laboratory for Information and Decision Systems (LIDS). I talked about the potential of Scientific Machine Learning for integrated and scalable modeling, optimization, and 
          
                
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             PJM’s flexible large loads proposal has NOT gone down well with stakeholders Microsoft: imposing curtailment undermines investor confidence, substantial risk to the economy Amazon: asking large loads to curtail discriminatory, does not align with commercial realities Data 
           Interesting proposals from PJM on large loads that they want to file before FERC in December. - Non Capacity Backed Load (NCBL) not subject to capacity charges, curtailed first in pre-emergency conditions - NCBL still counts towards system peak for transmission planning so load 
            
                
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            @ClimateChangeAI @david_rolnick @LynnHKaack @mariajoao_sousa @zicokolter @inesliaz Link to article:  https://t.co/9VaGxlQde5  And the full list (@TIME):
          
          
                
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             Solana is reshaping global finance, and Wall Street is just the beginning. Our team joined @BitwiseInvest at the NYSE closing bell to celebrate the rise of Solana on the biggest stage. 
          
                
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             While my name may happen to be the one on the list, this recognition reflects the work of many. Grateful to the @ClimateChangeAI team (esp my co-leads @david_rolnick, @LynnHKaack, @mariajoao_sousa), MIT MOSSLab (  https://t.co/Lnima7QA2W),  & my PhD advisors (@zicokolter, @inesliaz) 
          
                
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             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
              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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             The opportunity gap in AI is more striking than ever. We talk way too much about those receiving $100M or whatever for their jobs, but not enough those asking for <$1k to present their work. For 3rd year in a row, @ml_collective is raising funds to support @DeepIndaba attendees. 
          
                
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             Authors: @_emarche, Benjamin Donnot (@rte_france), @clcrozier, Ian Dytham (@neso_energy), Christian Merz (@50Hertzcom), Lars Schewe (@EdinburghUni), Nico Westerbeck (50Hertz), @wucathy, Antoine Marot (RTE), @priyald17
          
          
                
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             🌍 A major step toward global accessibility. Concordium has partnered with @Transak, a Tier-1 global on-ramp, to expand access to $CCD. With @coin98_wallet amplifying the integration, millions more can now access Concordium’s Smart Money ecosystem. 
          
                
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             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 ⬇️ 
           🚨 Excited to share RL2Grid! A benchmark suite of RL tasks for realistic power grid operations ⚡ Built with TSOs, RL2Grid aims to bring RL closer to real-world critical infrastructure. 📄 Preprint:  https://t.co/EG9SJutPZU  💻 Code:   https://t.co/MffQGF6tnj  More details below 👇 
            
                
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             We're hiring at the Sustainability Lab @iitgn Looking for students, interns, RAs, and collaborators working at the intersection of 🌱 Sustainability 🧠 AI 📡 Sensing Flyer attached. Details ↓ 
          
                
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             The first workshop @icmlconf dedicated to computational optimization of buildings, 𝗖𝗢-𝗕𝗨𝗜𝗟𝗗 𝟮𝟬𝟮𝟱 is now accepting paper Submissions:  https://t.co/yWdWAgpv4y  Join us in Vancouver! 
          
                
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             Our paper on detecting abandoned oil wells with machine learning, led by @pratinavseth, 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
              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,...
             I’m happy to share that our paper on detecting oil & gas wells with AI has been accepted to ICML 2025! Millions of such wells exist, leaking methane & other toxins. We show how remote sensing can help find them, using high-resolution, multi-spectral satellite imagery. @icmlconf
            
            
                
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             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 consequences for science by centralizing judgments about what constitutes good research.  https://t.co/ejjL89LjMj 
          
          
                
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