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Panel
AI and Climate Change: Where is the funding and is it sufficient to meet the 2030 and 2050 goals?
Jim
Spohrer
(ISSIP.org)
11/18/2022 1
Fahmida N Chowdhury
NSF
David Tew
ARPA-E
Andres Alonso
Bank of Spain
Jon Greene
ITA International
Moderator
Jim Spohrer
Learning to invest in
changing the local
planetary energy
infrastructure:
Decarbonization costs
• Smil V (2022) Taming the
Climate Is Far Harder Than
Getting People to the Moon.
IEEE Spectrum
11/18/2022 Jim Spohrer (ISSIP.org) 2
Funding Opportunities
Related to Climate Change
and AI
National Science Foundation
Fahmida N. Chowdhury
Office of International Science
and Engineering (OISE)
AAAI Fall Symposia, Nov. 17,
2022
Multiple Opportunities Across
NSF
NSF has invested over $100 million to establish five NSF AI
Institutes.
NSF AI Institute for Research on Trustworthy AI in Weather,
Climate, and Coastal Oceanography (AI2ES)
https://www.ai2es.org/
Create trustworthy Artificial Intelligence (AI) methods for diverse
environmental science (ES) users. Academia, Industry, National
Labs involved.
NSF has several programs in clean energy and climate ---
evolving and new program announcements coming
every year. AI tools can be incorporated in many of these
proposals.
In FY 22, $19m awarded in projects involving international
collaboration (PIRE); https://beta.nsf.gov/news/nsf-invests-
use-inspired-climate-change-clean
The Convergence Accelerator program in the new TIP
Directorate:
https://beta.nsf.gov/funding/initiatives/convergence-
accelerator
Even if the program does not mention AI explicitly. See
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2040613&Hist
How to build proposals with industry and other non-academic entities
What are convincing strategies for future AI workforce development
Whether to propose basic, foundational AI research or applications to climate and
energy-related themes
Points to Ponder
ARPA-E & AI
David E. Tew
Program Director, ARPA-E
November 18, 2022
History of ARPA-E
8
In 2007, The National Academies recommended Congress establish an Advanced Research Projects Agency within the
U.S. Department of Energy to fund advanced energy R&D.
2007 2009 2021
Rising Above the Gathering Storm
Published - warning policymakers that U.S.
advantages in science and technology had
begun to erode
America COMPETES Act Signed –
authorizing the creation of ARPA-E
American Recovery & Reinvestment Act
Signed – Providing ARPA-E its first
appropriations of $400 million, which funded
ARPA-E's first projects
1,270 Awards
60+Programs
FY22 Funding: $450M
(President’s FY23 Request: $700M)
ARPA-E Mission
9
ARPA-E is part of the Dept. of Energy & supports high-risk & (hopefully) high-reward energy-related R&D
ARPA-E Impact Indicators 2021
10
ARPA-E Program Portfolio
11
Active
Alumni
RANGE
REMOTE
TERRA
NEXTCAR
REFUEL
TRANSPORTATION
MARINER
AMPED
ELECTROFUELS
MOVE
PETRO
TRANSNET
REEACH
ASCEND SMARTFARM
ULTIMATE
EFFICIENCY
METALS
ARID
ADEPT
REACT
SWITCHES
CIRCUITS
SENSOR
SHIELD
ROOTS
MONITOR DELTA
BEETIT
PNDIODES
BREAKERS HITEMMP
DIFFERENTIATE
FLECCS REPAIR
ENLITENED
ELECTRICITY
GENERATION & DELIVERY
GRID DATA
INTEGRATE IONICS
MOSAIC ALPHA
GENSETS
NODES
GENI GRIDS
HEATS
REBELS
IMPACCT
FOCUS
CHARGES
MEITNER
ATLANTIS
BETHE
DAYS
PERFORM GEMINA
GAMOW
SOLAR ADEPT
+ OPEN 2009, 2012, 2015, 2018, & 2021 Solicitations
+ Seedlings, Competitions, Complementary Exploratory Topics
+ SCALEUP
SHARKS
BEEST
ECOSYNBIO
ARPA-E DIFFERENTIATE (AI Focused Program)
12
ML-Enhanced
Design Tools
More Creative &
Productive
Engineers
Better Energy
Products
Accelerated
ARPA-E Mission
ARPA-E Mission
Mission: To overcome long-term and high-risk technological barriers in the development of energy
technologies
3
REDUCE
IMPORTS
IMPROVE
EFFICIENCY
REDUCE
EMISSIONS
Ensure U.S.
Technological Lead &
U.S. Economic and
Energy Security
Leverage the transformative potential of machine learning (ML) to address today's energy challenges by
seeking to automate the process of invention
Current ARPA-E Program
$35M
Design Process Framework
13
November 18, 2022
Problem Hypothesis Evaluation Solution
Tool Capability Description
Hypothesis Generation Optimizers with domain knowledge
Hypothesis Evaluation Surrogate models with high fidelity @ low cost
Inverse Design Design representations as functions of requirements 𝑥𝑑𝑒𝑠𝑖𝑔𝑛 = 𝑓−1
𝑦𝑡𝑎𝑟𝑔𝑒𝑡
1 2
3
1
2
3
Goal: Help to resolve our climate challenge by using ML to automate the process of energy-related invention
𝑦𝑡𝑎𝑟𝑔𝑒𝑡 =
𝑦1
…
𝑦𝑁
E.g., Low-cost carbon-
neutral long-distance
transportation
𝑦ℎ𝑦𝑝 = 𝑓 𝑥ℎ𝑦𝑝
𝑥ℎ𝑦𝑝
𝑥𝑑𝑒𝑠𝑖𝑔𝑛 =
𝑥1
…
𝑥𝑁
Outside DIFFERENTIATE
‣ AI/ML is increasingly a tool of choice throughout our programs
– Materials discovery
– Digital twins
– Sensor data analysis
– Etc.
‣ Future opportunities @ ARPA-E
– Designed to be quick to respond to challenges &/or opportunities
– No roadmaps
– Future programs (e.g., ML focused ones) determined by future PDs
– If you don't like what we are doing, please come fix the problem!
14
November 18, 2022
• Primary focus is end application
• AI/ML is one of many tools employed
Join the Team that is Transforming the Energy
of Tomorrow
15
 Independent energy technology
development
 Program Director support
 Organizational support
PROGRAM DIRECTOR
 Program development
 Active project management
 Thought leadership
 Explore new technical areas
FELLOW
TECHNOLOGY-TO-MARKET
ADVISOR
 Business development
 Technical marketing
 Techno-economic analyses
 Stakeholder outreach
Learn more and apply: www.arpa-e.energy.gov/jobs or arpa-e-jobs@hq.doe.gov.
ANDRÉS ALONSO <ANDRES.ALONSO@BDE.ES>
Central Banks are working to unblock operational problems
that prevent Green Finance to scale up.
• Looking for a way to reduce the barriers that green fintechs
might find to raise capital for AI-driven solutions.
• The Bank for International Settlements (BIS) is running
an Innovation Hub (BISIH) and an Innovation Network
(BISIN) dedicating resources to experiment with and
monitor innovative technologies applied to Green
Finance:
 Project Genesis 1.0
 Project Genesis 2.0
 Project Viridis  ML & advanced analytics
 Project Gaia  NLP for climate-related disclosures
Blockchain, smart contracts & IoT.
ANDRÉS ALONSO <ANDRES.ALONSO@BDE.ES>
• BIS- G20 Techsprint 2021: race horse competition on (i) data
collection, (ii) climate risks, and (iii) connecting investors with
projects.
• Winners of these competitions usually benefit strongly from
this recognition when going into the private market later on.
• In our experience, AI-driven technologies have a huge
potential in this field!
 Further resources: ESA gateaway; UK FCA Green
Fintech Challenge, HKMA Green Hackaton.
AI & Climate
Where is the funding? Is it enough?
And are we asking the right questions?
19
Just Cause and Mission Statement
Mission Statement
ITA International is a
different kind of company
that moves at the speed
of business to ensure
mission success for
customers, “In The
Arena.” We leverage
subject matter expertise,
data analytics and
technology to make what
may seem impossible,
possible.
20
Conditions of the Human Ecosystem
21
The Standoff
“We are on a highway to
climate hell with our foot still
on the accelerator.”
UN Secretary General Antonio Guterres
“Climate-Change
‘Solutions’…Are Worse
Than the Problem”
Jason De Sena Trennert, WSJ
Is it… Or…
Climate change will have vast and unanticipated
impacts, intervention on the scale required to address it
will as well.
Can we change the conversation?
22
A Complex System of Systems Approach
…powered by AI
Jon Greene, jgreene@ita-intl.com, 540-553-5846
https://www.climatechange.ai/events/aaaifss2022#schedule
Emails:
Fahmida Chowdhury <fchowdhu@nsf.gov>
David Tew <david.tew@hq.doe.gov>
Andres Alonso <andres.alonso@bde.es>
Jon Greene <JGreene@ita-intl.com>
Jim Spohrer <Spohrer@gmail.com>
Priya Donti <pdonti@andrew.cmu.edu>
Frank Stein <fstein@ieee.org>

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Panel_Investing AAAI_FSS AI_Climate 20221117 v2.pptx

  • 1. Panel AI and Climate Change: Where is the funding and is it sufficient to meet the 2030 and 2050 goals? Jim Spohrer (ISSIP.org) 11/18/2022 1 Fahmida N Chowdhury NSF David Tew ARPA-E Andres Alonso Bank of Spain Jon Greene ITA International Moderator Jim Spohrer
  • 2. Learning to invest in changing the local planetary energy infrastructure: Decarbonization costs • Smil V (2022) Taming the Climate Is Far Harder Than Getting People to the Moon. IEEE Spectrum 11/18/2022 Jim Spohrer (ISSIP.org) 2
  • 3. Funding Opportunities Related to Climate Change and AI National Science Foundation Fahmida N. Chowdhury Office of International Science and Engineering (OISE) AAAI Fall Symposia, Nov. 17, 2022
  • 4. Multiple Opportunities Across NSF NSF has invested over $100 million to establish five NSF AI Institutes. NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES) https://www.ai2es.org/ Create trustworthy Artificial Intelligence (AI) methods for diverse environmental science (ES) users. Academia, Industry, National Labs involved.
  • 5. NSF has several programs in clean energy and climate --- evolving and new program announcements coming every year. AI tools can be incorporated in many of these proposals. In FY 22, $19m awarded in projects involving international collaboration (PIRE); https://beta.nsf.gov/news/nsf-invests- use-inspired-climate-change-clean The Convergence Accelerator program in the new TIP Directorate: https://beta.nsf.gov/funding/initiatives/convergence- accelerator Even if the program does not mention AI explicitly. See https://www.nsf.gov/awardsearch/showAward?AWD_ID=2040613&Hist
  • 6. How to build proposals with industry and other non-academic entities What are convincing strategies for future AI workforce development Whether to propose basic, foundational AI research or applications to climate and energy-related themes Points to Ponder
  • 7. ARPA-E & AI David E. Tew Program Director, ARPA-E November 18, 2022
  • 8. History of ARPA-E 8 In 2007, The National Academies recommended Congress establish an Advanced Research Projects Agency within the U.S. Department of Energy to fund advanced energy R&D. 2007 2009 2021 Rising Above the Gathering Storm Published - warning policymakers that U.S. advantages in science and technology had begun to erode America COMPETES Act Signed – authorizing the creation of ARPA-E American Recovery & Reinvestment Act Signed – Providing ARPA-E its first appropriations of $400 million, which funded ARPA-E's first projects 1,270 Awards 60+Programs FY22 Funding: $450M (President’s FY23 Request: $700M)
  • 9. ARPA-E Mission 9 ARPA-E is part of the Dept. of Energy & supports high-risk & (hopefully) high-reward energy-related R&D
  • 11. ARPA-E Program Portfolio 11 Active Alumni RANGE REMOTE TERRA NEXTCAR REFUEL TRANSPORTATION MARINER AMPED ELECTROFUELS MOVE PETRO TRANSNET REEACH ASCEND SMARTFARM ULTIMATE EFFICIENCY METALS ARID ADEPT REACT SWITCHES CIRCUITS SENSOR SHIELD ROOTS MONITOR DELTA BEETIT PNDIODES BREAKERS HITEMMP DIFFERENTIATE FLECCS REPAIR ENLITENED ELECTRICITY GENERATION & DELIVERY GRID DATA INTEGRATE IONICS MOSAIC ALPHA GENSETS NODES GENI GRIDS HEATS REBELS IMPACCT FOCUS CHARGES MEITNER ATLANTIS BETHE DAYS PERFORM GEMINA GAMOW SOLAR ADEPT + OPEN 2009, 2012, 2015, 2018, & 2021 Solicitations + Seedlings, Competitions, Complementary Exploratory Topics + SCALEUP SHARKS BEEST ECOSYNBIO
  • 12. ARPA-E DIFFERENTIATE (AI Focused Program) 12 ML-Enhanced Design Tools More Creative & Productive Engineers Better Energy Products Accelerated ARPA-E Mission ARPA-E Mission Mission: To overcome long-term and high-risk technological barriers in the development of energy technologies 3 REDUCE IMPORTS IMPROVE EFFICIENCY REDUCE EMISSIONS Ensure U.S. Technological Lead & U.S. Economic and Energy Security Leverage the transformative potential of machine learning (ML) to address today's energy challenges by seeking to automate the process of invention Current ARPA-E Program $35M
  • 13. Design Process Framework 13 November 18, 2022 Problem Hypothesis Evaluation Solution Tool Capability Description Hypothesis Generation Optimizers with domain knowledge Hypothesis Evaluation Surrogate models with high fidelity @ low cost Inverse Design Design representations as functions of requirements 𝑥𝑑𝑒𝑠𝑖𝑔𝑛 = 𝑓−1 𝑦𝑡𝑎𝑟𝑔𝑒𝑡 1 2 3 1 2 3 Goal: Help to resolve our climate challenge by using ML to automate the process of energy-related invention 𝑦𝑡𝑎𝑟𝑔𝑒𝑡 = 𝑦1 … 𝑦𝑁 E.g., Low-cost carbon- neutral long-distance transportation 𝑦ℎ𝑦𝑝 = 𝑓 𝑥ℎ𝑦𝑝 𝑥ℎ𝑦𝑝 𝑥𝑑𝑒𝑠𝑖𝑔𝑛 = 𝑥1 … 𝑥𝑁
  • 14. Outside DIFFERENTIATE ‣ AI/ML is increasingly a tool of choice throughout our programs – Materials discovery – Digital twins – Sensor data analysis – Etc. ‣ Future opportunities @ ARPA-E – Designed to be quick to respond to challenges &/or opportunities – No roadmaps – Future programs (e.g., ML focused ones) determined by future PDs – If you don't like what we are doing, please come fix the problem! 14 November 18, 2022 • Primary focus is end application • AI/ML is one of many tools employed
  • 15. Join the Team that is Transforming the Energy of Tomorrow 15  Independent energy technology development  Program Director support  Organizational support PROGRAM DIRECTOR  Program development  Active project management  Thought leadership  Explore new technical areas FELLOW TECHNOLOGY-TO-MARKET ADVISOR  Business development  Technical marketing  Techno-economic analyses  Stakeholder outreach Learn more and apply: www.arpa-e.energy.gov/jobs or arpa-e-jobs@hq.doe.gov.
  • 16. ANDRÉS ALONSO <ANDRES.ALONSO@BDE.ES> Central Banks are working to unblock operational problems that prevent Green Finance to scale up. • Looking for a way to reduce the barriers that green fintechs might find to raise capital for AI-driven solutions. • The Bank for International Settlements (BIS) is running an Innovation Hub (BISIH) and an Innovation Network (BISIN) dedicating resources to experiment with and monitor innovative technologies applied to Green Finance:  Project Genesis 1.0  Project Genesis 2.0  Project Viridis  ML & advanced analytics  Project Gaia  NLP for climate-related disclosures Blockchain, smart contracts & IoT.
  • 17. ANDRÉS ALONSO <ANDRES.ALONSO@BDE.ES> • BIS- G20 Techsprint 2021: race horse competition on (i) data collection, (ii) climate risks, and (iii) connecting investors with projects. • Winners of these competitions usually benefit strongly from this recognition when going into the private market later on. • In our experience, AI-driven technologies have a huge potential in this field!  Further resources: ESA gateaway; UK FCA Green Fintech Challenge, HKMA Green Hackaton.
  • 18. AI & Climate Where is the funding? Is it enough? And are we asking the right questions?
  • 19. 19 Just Cause and Mission Statement Mission Statement ITA International is a different kind of company that moves at the speed of business to ensure mission success for customers, “In The Arena.” We leverage subject matter expertise, data analytics and technology to make what may seem impossible, possible.
  • 20. 20 Conditions of the Human Ecosystem
  • 21. 21 The Standoff “We are on a highway to climate hell with our foot still on the accelerator.” UN Secretary General Antonio Guterres “Climate-Change ‘Solutions’…Are Worse Than the Problem” Jason De Sena Trennert, WSJ Is it… Or… Climate change will have vast and unanticipated impacts, intervention on the scale required to address it will as well. Can we change the conversation?
  • 22. 22 A Complex System of Systems Approach …powered by AI
  • 24. https://www.climatechange.ai/events/aaaifss2022#schedule Emails: Fahmida Chowdhury <fchowdhu@nsf.gov> David Tew <david.tew@hq.doe.gov> Andres Alonso <andres.alonso@bde.es> Jon Greene <JGreene@ita-intl.com> Jim Spohrer <Spohrer@gmail.com> Priya Donti <pdonti@andrew.cmu.edu> Frank Stein <fstein@ieee.org>

Editor's Notes

  1. ===== AAAI FSS  Panel https://www.climatechange.ai/events/aaaifss2022#schedule AAAI 2022 Fall Symposium Series November 17-19 (Thursday – Saturday) The Role of AI in Responding to Climate Change  Looking forward to moderating the panel at the upcoming conference! Panel: AI and Climate Change: Where is the funding and is it sufficient to meet the 2030 and 2050 goals? https://www.climatechange.ai/events/aaaifss2022#schedule Thursday, November 17, 2016, 5:10 pm – 6:00 pm Format: (1) Intro: Moderator intro slide with topic - three bullet points - and  each panelist brief intro (2) Panelists: Each panelist presents 2-3 slides, and gets one question from moderator (3) Q&A: Open up to general audience for questions Goal:  Our goal is to inform the audience, and have a lively, informative, fun discussion - maybe with a few provocative questions and amazing facts to share. Panel Moderator Jim Spohrer, Retired Industry Exec (Apple, BM) URL: https://www.linkedin.com/in/spohrer/ URL: https://scholar.google.com/citations?user=7T2Pz1YAAAAJ&hl=en Panelist: Fahmida N Chowdhury, Program Director at National Science Foundation URL: https://www.linkedin.com/in/fahmida-chowdhury-109037a/ URL: https://www.nsf.gov/staff/staff_bio.jsp?lan=fchowdhu&org=NSF&from_org=NSF URL: https://scholar.google.com/citations?user=KUk2rssAAAAJ&hl=en Panelist : David Tew, Program Director at ARPA-E URL: https://www.linkedin.com/in/david-e-tew/ URL: https://scholar.google.com/citations?hl=en&user=xh-ys38AAAAJ Panelist - via short video: Andrés Alonso, DGA Pagos e Infra. De Mercado, División de Innovación Financiera URL: https://www.linkedin.com/in/andr%C3%A9s-alonso-0998449/?originalSubdomain=es URL: https://scholar.google.com/citations?user=9Jz_aisAAAAJ&hl=en Panelist Jon Grene, ITA Intenrational, VP Global Security Operations URL: https://ita-intl.com/ita-international-appoints-new-vice-president-of-global-security-operations-and-hires-new-senior-advisor-to-the-ceo/ URL: Panelist TBD - being invited. Will know shortly. Emails: Frank Stein <fstein@ieee.org> Priya Donti <pdonti@andrew.cmu.edu> Fahmida Chowdhury <fchowdhu@nsf.gov> David Tew <david.tew@hq.doe.gov> Andrés Alonso <andres.alonso@bde.es> Jon Greene <Jon Greene <JGreene@ita-intl.com> Jim Spohrer <spohrer@gmail.com>
  2. BiblioS2022 Smil V (2022) Taming the Climate Is Far Harder Than Getting People to the Moon Decarbonization is a project with no clear beginning or end. IEEE Spectrum. URL: https://spectrum.ieee.org/decarbonization Quotes: "Today, no category mistake is perhaps more consequential than the all-too-common view of the global energy transition. The error is to think of the transition as the discrete, well-bounded task of replacing carbon fuels by noncarbon alternatives. The apparent urgency of the transition leads to calls for confronting the challenge just as the United States dealt with two earlier ones: winning the nuclear-arms race against Nazi Germany and the space race against the Soviet Union. The Manhattan Project produced an atomic bomb in three years, and Project Apollo put two U.S. citizens on the moon in July 1969, eight years after President Kennedy had announced the goal. But difficult and costly as those two endeavors were, they affected only small parts of the economy, their costs were relatively modest, and the lives of average citizens were hardly affected. It is just the opposite for the decarbonization of the energy supply.";
  3. All of NSF’s international engagement is driven by core values. We strive to Promote collaboration that enhances research and education with direct benefit to the US Ensure intellectual partnerships with reciprocal benefit Maintain and grow networks that enable US access to various types of international resources -- whether that means access to expertise, facilities, ecosystems, or more To build globally-engaged workforce by providing opportunities for US students, post-docs and early career researchers to engage in international research And of course, we strive to lead with values about HOW we do research – via our commitment to openness, data sharing, transparency, equity
  4. Given the increasingly global nature of science and engineering, the long-term goal of IRES is to enhance U.S. leadership by developing the next generation of STEM leaders. IRES focuses on three tracks IRES Track I: IRES Sites (IS) are projects that engage a group of undergraduate and/or graduate students in active high quality collaborative research at an international site. IRES Track II: Advanced Studies Institutes (ASI) are intensive activities that engage advanced graduate students in active learning and research at the frontiers of scientific knowledge.
  5. This help may come in part from exciting new tools and techniques that leverage the transformational potential of artificial intelligence. The objective of the DIFFERENTIATE program is to develop advanced engineering design tools that empower engineers to expeditiously and cost-effectively develop the energy products that we need to protect our climate while both growing our economy and enhancing our quality of life. The approach proposed in the formulation of this program was to seek to leverage the emerging artificial intelligence revolution to automate the process of energy-product invention in the interest of driving down the cost and/or risk of developing better performing energy-related products. By doing so, we hope to accelerate ARPA-E’s mission of reducing our energy usage and related emissions and thereby helping to mitigate our climate challenges.
  6. URL: https://www.climatechange.ai/events/aaaifss2022#schedule AAAI 2022 Fall Symposium Series November 17-19 (Thursday – Saturday) The Role of AI in Responding to Climate Change  Looking forward to moderating the panel at the upcoming conference! Panel: AI and Climate Change: Where is the funding and is it sufficient to meet the 2030 and 2050 goals? Thursday, November 17, 2016, 5:10 pm – 6:00 pm