C3.ai DTI Second Call for Proposals: C3.ai DTI Second Call for Proposals Berkeley, CA, United States, April 5, 2021 |
Conference website | https://c3dti.ai/research/ai-for-energy-and-climate-security/ |
Submission link | https://easychair.org/conferences/?conf=c3dticfp2 |
Submission deadline | April 5, 2021 |
Summary
The goal of the C3.ai Digital Transformation Institute (C3DTI) is to catalyze cooperative research activities and advances in mathematical, statistical, and computing research, combining machine learning (ML), artificial intelligence (AI), the internet of things (IoT) and ethics and social responsibility in the development and fielding of technology. C3DTI is aimed at establishing the fundamental set of scientific advances, algorithms, designs, and business change management practices necessary to establish the Science of Digital Transformation of Societal Systems.
Jointly managed and hosted by the University of California, Berkeley and the University of Illinois at Urbana-Champaign, C3.ai DTI attracts the world’s leading scientists to join in a coordinated and innovative effort to advance the digital transformation of business, government, and society, and establish the new science of digital transformation. C3DTI is supported by $57,250,000 of cash contributions from C3 AI and an additional $310 million in-kind support from C3 AI and Microsoft over the first five years of operation, including use of the C3 AI Suite and Microsoft Azure computing, storage, and technical resources to support C3DTI research.
Digital Transformation and Artificial Intelligence for Energy and Climate Security
The energy industry is being digitally transformed by investment at all levels of production, generation, transmission, and distribution: sensors, data analytics, new privacy-aware markets, and usage of smart meters in homes are all part of this transformation. However, the transformation of energy to be resilient to large environmental changes, faults (including maintenance errors), and cyber-attacks is still a work in progress. The early lead of energy operators in embracing digital transformation has enabled those systems to use digital transformation not only to enhance energy efficiency but also to lead the way to a lower-carbon, higher-efficiency economy that will enhance both energy and climate security.
This second C3DTI Call for Proposals addresses the challenges for AI and Digital Transformation for Energy and Climate Security.
Topics of Interest
Please see the full text of the Call for Proposals for detailed descriptions of each topic of interest. Topics for research awards may include, but are not limited to, the following:
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Sustainability: Applying AI, machine learning, and advanced analytic techniques to support sustainability initiatives for energy consumption and greenhouse gas emissions
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AI for Carbon Sequestration: Applying AI/ML techniques to increase the scale and reduce the cost of carbon sequestration
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AI for Leaks and Emissions Detection: Applying advanced AI/ML techniques for large-scale emissions detection, facility-level data reconciliation and gap analysis for emissions sensors, prediction of emissions risk, and analysis and optimization of flaring intensity across upstream and downstream operations
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Safe Hydrocarbon Production and Transportation Infrastructure: Applying analytic and AI/ML modeling techniques to increase the safety and reduce emissions from oil and gas extraction, petrochemical production, and hydrocarbon transportation
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AI for Advanced Energy and Carbon Markets: Enabling dynamic, automated, and real-time pricing of energy generation sources
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Cybersecurity of Power and Energy Infrastructure: Leveraging AI/ML techniques to improve the cybersecurity of our critical power and energy assets, as well as smart connected factories and homes
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Smart Grid Analytics: Applying AI and other analytic approaches to improve the efficiency and effectiveness of grid transmission and distribution operations
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Distributed Energy Resource Management: Applying AI to increase the penetration and use of distributed renewables
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AI for Energy-Efficient Buildings and Factories: Leveraging AI techniques for advanced building and factory control to improve energy efficiency
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AI for Improved Natural Catastrophe Risk Assessment: Applying AI to improve modeling of natural catastrophe risks from future weather-related events (e.g., tropical storms, wildfires, and floods)
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Resilient Energy Systems: Addressing how the use of AI/ML techniques and markets for energy and carbon introduce new vulnerabilities
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AI for Improved Climate Change Modeling: Use of AI/ML to address climate change modeling and adaptation
Eligibility and Funding
Proposal Principal Investigators (PIs) must be faculty researchers from C3DTI consortium partner institutions. Co-Investigators may be from C3DTI consortium partner institutions or other institutions. Preference will be given to proposals where the majority of the work and expenditures occur at C3DTI consortium partner institutions. C3DTI strongly encourages the submission of proposals that are interdisciplinary and inter-institutional across C3DTI consortium partner institutions as well as leading research institutions around the world.
It is anticipated that up to USD $5 million in Research Awards will be awarded from this Call for Proposals. In addition to cash awards, funded proposals will include unlimited free access to the C3 AI Suite hosted on the Microsoft Azure Cloud, including between 225,000 and 1.15 million CPU/GPU hours of compute capacity depending upon grant requirements. Proposals can request funding of $100,000 to $250,000 for an initial period of one (1) year.
Submission Guidelines
Proposals must be submitted before 11:59 pm PDT March 29, 2021. Awards will be announced in late May 2021, with start dates of June 1, 2021. Please use the Proposal Submission Template provided in EasyChair and follow the proposal format, structure, and page limit instructions.
Contact
Please email proposals@c3dti.ai if you need additional information or clarifications.