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ID: 209823


Date: 2021-06-10

Researchers win $4.4 million in grants for projects using AI to take on climate change

The Digital Transformation Institute announced on Thursday $4.4 million in awards to researchers using everything from offline reinforcement learning and large-scale simulations to soil samples and seaweed to find solutions to climate change. Cross-disciplinary teams from universities and research groups want to use artificial intelligence to make electricity grids more resilient, improve wildfire forecasting and develop workable options for carbon sequestration.  The institute put out its first call for papers last spring to identify ways to use AI to address COVID-19. This year the focus was climate change.  Eric Horvitz, Microsoft's chief scientific officer, is a board member at the institute and participated in a press call about the grant winners. He said he was impressed by the proposals that take on some of the hardest problems the world faces. "We need these kinds of audacious yet technically and scientifically sound projects and these projects need to be pursued by teams known for deep technical thinking and creativity," he said. Ali Hortacsu, an economics professor at the University of Chicago, is using supply and demand data from the electricity grid to build a model and understand how the grid responds during events such as the winter storm that hit Texas in February. Hortacsu's goal is to determine how investments in the grid could reduce similar failures in the future. California EV deal could pave way for a "Strategic Electric Reserve" and grid security (TechRepublic). Zido Kolter, a computer science professor at Carnegie Mellon University, is also focused on the power grid but his area of expertise is offline reinforcement learning. He will use the funding to build a simulation that can incorporate strict safety constraints.  Kolter and Sergey Levine, University of California, Berkeley, are the lead investigators on this project. Claire Tomlin's goal is to build smart seaweed-growing structures that can move through the ocean independently and use ocean currents as a power source. "We want them to stay in nutrient rich areas, stay away from ships and use the least amount of energy," she said. Seaweed absorbs carbon dioxide and could help with carbon sequestration efforts. Tomlin is an electrical engineering and computer science professor at University of California, Berkeley. During a press call about the awards, an audience member asked why the Institute was taking an open source approach with the technology developed by the research groups. Tom Siebel, chair of the institute and chairman and CEO of, said that to get participation from university researchers, the effort couldn't be about helping a company make money; the effort had to be about helping society. "All of the science goes into the public domain, and it was always set up to be that way," he said. "It's the reason for active participation of some of the most brilliant minds in the world." The institute issued a call for proposals in February and received 52 submissions. The reviewers awarded 21 grants to research proposals for improving resilience, sustainability and efficiency through such measures as carbon sequestration, carbon markets, hydrocarbon production, distributed renewables and cybersecurity. The institute awarded a total of $4.4 million in cash to researchers. Research teams also will gain access to up to $2 million in Azure cloud computing resources, up to 800,000 supercomputing node hours on the Blue Waters petascale supercomputer at the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, up to 25 million computing hours on supercomputers at Lawrence Berkeley National Laboratory's National Energy Research Scientific Computing Center, and unlimited access to the Suite. Researchers got $100,000 to $250,000 for each project for one year of operations. The list of winners is listed below by project title, principal investigator and affiliation: These projects apply AI, machine learning and advanced analytics to support sustainability initiatives for energy consumption and greenhouse gas emissions: These efforts apply AI/ machine learning techniques to increase the scale and reduce costs of carbon sequestration: The goal of this work is to enable dynamic, automated, and realtime pricing of energy-generation sources: These projects use AI/ML techniques to improve the cybersecurity of critical power and energy assets, along with smart connected factories and homes: These researchers are applying AI and other analytic approaches to improve the efficiency and effectiveness of grid transmission and distribution operations: This work applies AI to increase the penetration and use of distributed renewables: These projects apply AI to improve modeling of natural catastrophe risks from future weather-related events (e.g., tropical storms, wildfires and floods): This work addresses how the use of AI/ML techniques and markets for energy and carbon introduce new vulnerabilities : These projects use AI/ML to address climate change modeling and adaptation: The Digital Transformation Institute is a research group focused on accelerating the benefits of artificial intelligence for business, government and society. The Institute works with scientists to conduct research and train practitioners in digital transformation, which "operates at the intersection of artificial intelligence, machine learning, cloud computing, internet of things, big data analytics, organizational behavior, public policy and ethics." DTI was founded in March 2020 by, Microsoft Corporation, University of Illinois at Urbana-Champaign, University of California, Berkeley, Carnegie Mellon University, Lawrence Berkeley National Laboratory, Massachusetts Institute of Technology, National Center for Supercomputing Applications, Princeton University, and University of Chicago. The Institute is jointly managed and hosted by University of California, Berkeley and University of Illinois at Urbana-Champaign. is a consulting company that specializes in enterprise AI and unifying data, deploying models and deploying applications.  We deliver the top business tech news stories about the companies, the people, and the products revolutionizing the planet. Delivered Daily