Climate Resilience and the Role of AI: a Convergence of Complexities with Auroop Ganguly

Page 32

Auroop R. Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab) Climate Resilience and the Role of AI: A Convergence of Complexities Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern Auroop R. Ganguly a.ganguly@northeastern.edu https://sdslab.io

Climate Resilience and the Role of AI: A Convergence of Complexities

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

The Global Weirding Challenge

What does climate change mean for extremes or stresses?

42 slides conveying the meaning of life, the universe, and everything

Auroop R. Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory
Lab)
(SDS
2

Big climate data from global models and remote sensing yield insights on extremes and impacts

Climate Resilience and the Role of AI: A Convergence of Complexities

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

Intensifyingheatwaves&geographicalvariabilitybutpersistingcoldsnapsinduration&intensity

Ganguly, A.R., Steinhaeuser, K., Erickson, D.J., Branstetter, M., Parish, E.S., Singh, N., Drake, J.B. and Buja, L., 2009. Higher trends but larger uncertainty and geographic variability in 21st century temperature and heat waves. Proceedings of the National Academy of Sciences, 106(37), pp.15555-15559.

Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab)

Auroop R.

Hottest and coldest records shattered in Boston and New England within the last nine months

Climate Resilience and the Role of AI: A Convergence of Complexities

Doesclimateresiliencedemandinvestmentsforpreparednesstobothhotandcoldextremes?

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

Northeastern

(SDS Lab)

Auroop R. Ganguly,
University, Sustainability & Data Sciences Laboratory
4

The Texas power grid failed in 2021 winter and resorted to emergency action in 2022 summer

Climate Resilience and the Role of AI: A Convergence of Complexities

Doesweatherizingengineeredsystemsreducevulnerabilitytobothheatwavesandcoldsnaps?

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab)

Auroop R. Ganguly,
5

From heart disease to frostbite, public health risks are high for both heat waves and cold snaps

Climate Resilience and the Role of AI: A Convergence of Complexities

Dobiodiversityandspeciesextinctionsgetequallyimpactedbybothhotandcoldextremes?

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab)

Auroop R. Ganguly,
6
Auroop R. Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab) Climate Resilience and the Role of AI: A Convergence of Complexities
in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern 7
heart disease to frostbite, public health risks are high for both heat waves and cold snaps
Expeditions
From
Doesmanagingpublichealthrisksofheatwavesimplicitlymanagethepartialrisksofcoldsnaps?

Extant Literature and our Research shows the Implications beyond Temperature Extremes

Climate Resilience and the Role of AI: A Convergence of Complexities

Weirdingimpactsextremes:heavyprecipitationandfloodstodroughts,wildfires,andhurricanes

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

Laboratory (SDS

Auroop R. Ganguly,
University, Sustainability &
Sciences
Northeastern
Data
Lab)
8

Climate Change leads to Weirding of Weather Extremes at Local to Global Scales

Climate Resilience and the Role of AI: A Convergence of Complexities

ImplicationsofWeirdingAreFeltAcrossCoupledNatural,Human-Engineered,andSocialSystems

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab)

Auroop R.
9

Climate Change leads to Weirding of Weather Extremes at Local to Global Scales

Climate Resilience and the Role of AI: A Convergence of Complexities

ImplicationsofWeirdingAreFeltAcrossCoupledNatural,Human-Engineered,andSocialSystems

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab)

Auroop R.
10

Climate Resilience and the Role of AI: A Convergence of Complexities

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

Climate Resilience: Lessons from Ozone

Can science inform globally-coordinated action?

42 slides conveying the meaning of life, the universe, and everything

(SDS Lab)

Auroop R. Ganguly, Northeastern University, Sustainability &
Sciences
Data
Laboratory
11

Lessons in Science to Action From Closing the Ozone Hole to Developing Climate Resilience

Climate Resilience and the Role of AI: A Convergence of Complexities

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

AtmosphericchemistryleadstotheMontrealProtocolfortheozoneholewithasidebenefit

Nature paper: 1974

SciencetoActionin14years

Montreal Protocol

Finalized: 1987

ActiontoNobelin7years

Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab)

Auroop R.
12

Lessons

in Science to Action From Closing the Ozone Hole to Developing our Climate Resilience

Climate Resilience and the Role of AI: A Convergence of Complexities

Fromphysicstoeconomicstopolicy:DoclimaterelatedNobelsappearchronologicallyreversed?

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

Adaptationscience catchesupwith actionin11years

Climatesciencecatches

upwithadaptation sciencein3years

Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab)

Auroop R. Ganguly,
13

Lessons in Science to Action From Closing the Ozone Hole to Developing our Climate Resilience

Climate Resilience and the Role of AI: A Convergence of Complexities

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

Buildingclimateresilienceisarguablyamorecomplexproblemthanevenclosingtheozonehole

Climate 2020 (UNA-UK)

Ganguly, A.R., Kodra, E., Bhatia, U., Warner, M.E., Duffy, K., Banerjee, A. and Ganguly, S., 2018. Data-driven solutions. Climate 2020: Degrees of Devastation, 82-85.

Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab)

Auroop R.
14

Lessons in Science to Action From Closing

Climate Resilience and the Role of AI: A Convergence of Complexities

the Ozone Hole to Developing our Climate Resilience

Theglobalproblemofclimatemitigationhingestoagreatdegreeonnationalandlocalinterests

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab)

Auroop R.
15

Climate Resilience and the Role of AI: A Convergence of Complexities

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

Computational Sciences: Simulations to AI

Does computation enable climate resilience?

42 slides conveying the meaning of life, the universe, and everything

Auroop R. Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory
Lab)
(SDS
16

Climate science advances via modeling and simulation depends critically on supercomputing

Climate Resilience and the Role of AI: A Convergence of Complexities

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

HPCisforclimatescience&engineeringwhatexperimentalfacilitiesaretoatmosphericchemistry

Nature: https://www.nature.com/articles/d41586-020-03133-3

Physics Today: https://physicstoday.scitation.org/doi/10.1063/PT.3.4571

1995 Chemistry Nobel laureates in 1974 with their atmospheric chemistry experimental laboratory

2021 Physics Nobel laureate for earth system modeling and simulation with his computer in the late 1970s

Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab)

Auroop R. Ganguly,
17
Auroop R. Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab) Climate
AI: A Convergence
Complexities
18
Climate science advances via modeling and simulation depends critically on supercomputing
Resilience and the Role of
of
Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern
Curiosity-drivenclimatescienceversusmission-drivenclimatescienceispartlyknownbytheHPCs

Climate resilience advances need to go beyond modeling and simulation but still require HPC

Climate Resilience and the Role of AI: A Convergence of Complexities

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

ThecomplexityofconvergenceinclimateresiliencerequireafreshlookatAI,broadlyconstrued

Trends and Natural Variability in Earth and Natural Systems

Cascading Failures and Recovery in Human-Engineered Systems

Tragedy of the Commons and Financial Disincentives in Social Systems

Physics-Guided and UncertaintyAware Spatiotemporal Machine

Learning and Computer Vision

Probabilistic Graph Machine Learning with Uncertainty and Causal Flows

Guided by Engineering Principles

Agent-Based Models and Games for MultiStakeholder Decisions Guided by Social Science Theories and Policy Frameworks

Nature: Reichstein et al. (2019)

IPCC AR5: WG1 (2013)

Nature: Buldyrev et al. (2010)

IEEE: Liu et al. (2021)

Elinor Ostrom: Nobel Lecture (2009)

Nature Comm.: Pagan/Dörfler (2019)

Climate 2020: Ganguly et al. (2018)

Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab)

Auroop R.
19
Auroop R. Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab) Climate Resilience and the Role of AI: A Convergence of Complexities Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern 20 DeepMachineLearningmovestotheFoundationeraevenaseffectivenessremainsunreasonable Climate resilience advances need to go beyond modeling and simulation but still require HPC https://crfm.stanford.edu/ https://www.techopedia.com/definition/34826/foundation-model

Climate resilience advances need to go beyond modeling and simulation but still require HPC

Climate Resilience and the Role of AI: A Convergence of Complexities

Large-scaleagent-basedsimulationsonHPChavebeenusedf0rbehaviormodelinginepidemiology

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

(SDS

Auroop R. Ganguly,
University, Sustainability
Northeastern
& Data Sciences Laboratory
Lab)
21

Climate Resilience and the Role of AI: A Convergence of Complexities

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

Climate Resilience and AI

Climate resilience challenges and AI solutions

42 slides conveying the meaning of life, the universe, and everything

(SDS

Auroop R. Ganguly, Northeastern University, Sustainability &
Sciences
Lab)
Data
Laboratory
22

The “Multimodel Superensemble” approach adapted to climate and earth systems sciences

Climate Resilience and the Role of AI: A Convergence of Complexities

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

Knowledgegapsandinternalvariabilitycanpersistforprojectionswellintothelate21-stcentury

Kumar, D., Kodra, E. and Ganguly, A.R., 2014. Regional and seasonal intercomparison of CMIP3 and CMIP5 climate model ensembles for temperature and precipitation. Climate Dynamics, 43(9-10), pp.2491-2518.

Kumar, D. and Ganguly, A.R., 2017. Intercomparison of model response and internal variability across climate model ensembles. Climate Dynamics, pp.1-13.

Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab)

Auroop R.
23
Auroop R. Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory
Lab)
(SDS
Climate Resilience and the Role of AI: A Convergence of Complexities
24
Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern
The
Multimodel Superensemble” approach adapted to climate and earth systems sciences
in Science & Engineering, 17(6),
Knowledgegapsandinternalvariabilityanimatescientificdiscoveryandtranslationtoimpacts Ganguly, A.R., Kumar, D., Ganguli, P., Short, G. and J. Klausner. 2015. Climate adaptation informatics: water stress on power production. Computing
pp.53-60.

Big climate data from global models and remote sensing yield insights on extremes and impacts

Climate Resilience and the Role of AI: A Convergence of Complexities

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

Intensifyingheatwaves&geographicalvariabilitybutpersistingcoldsnapsinduration&intensity

Ganguly, A.R., Steinhaeuser, K., Erickson, D.J., Branstetter, M., Parish, E.S., Singh, N., Drake, J.B. and Buja, L., 2009. Higher trends but larger uncertainty and geographic variability in 21st century temperature and heat waves. Proceedings of the National Academy of Sciences, 106(37), pp.15555-15559.

Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab)

Auroop R.

Climate Resilience and the Role of AI: A Convergence of Complexities

Big climate data from global models and remote sensing yield insights on extremes and impacts

(SDS

Auroop R. Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory
Lab)
26
Wang,
2015. Intensification and spatial homogenization of coastal upwelling under climate change. Nature, 518(7539), p.390.
Coastalupwellingwillintensify
D., Gouhier, T.C., Menge, B.A. and Ganguly, A.R.,

Changes in climate variability and extremes have broad impacts from infrastructures to ecology

Climate Resilience and the Role of AI: A Convergence of Complexities

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

Climatefluctuationuniformlyincreaseextinctionrisksacrossinsectspeciesdespitediverseimpacts

Duffy, K., Gouhier, T.C. & Ganguly, A.R. Climate-mediated shifts in temperature fluctuations promote extinction risk. Nature Climate Change (2022). https://doi.org/10.1038/s41558-022-01490-7.

(SDS

Auroop R. Ganguly, Northeastern University, Sustainability & Data Sciences
Lab)
Laboratory
27

Climate Resilience and the Role of AI: A Convergence of

Complexities

Balancing skill versus consensus across multi model ensembles is a non-trivial but crucial task

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

Physics-guidedBayesianuncertaintyquantificationforprecipitationextremesfrommodelensemble

Kodra, E., Bhatia, U., Chatterjee, S., Chen, C., and Ganguly, A.R.

Physics-guided probabilistic modeling of extreme precipitation under climate change. Scientific Reports, 10, 10299 (2020). Please read the online supplement!!!

Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab)

Auroop R.
28

Explainable Artificial Intelligence addresses key gaps in climate science and impacts assessments

Climate Resilience and the Role of AI: A Convergence of Complexities

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

Insightsonglobalclimateindicesandregionalwaterresourceswithexplainabledeeplearning

Liu, Y., Duffy, K., Dy, J.G. and Ganguly, A.R., 2023. Explainable deep learning for insights in El Niño and river flows. Nature Communications, 14(1), 339, https://doi.org/10.1038/s41467-023-35968-5.

(SDS

Auroop R. Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory
Lab)
29
Auroop R. Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab) Climate
of AI: A Convergence of Complexities Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern 30 MachineLearninginformedbyprocessunderstandinghelpsinformdownscalinganduncertainty AI and Computer Vision can help translate global climate models to stakeholder needs and scales
Resilience and the Role
Auroop R. Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab) Climate Resilience and the Role of AI: A Convergence of Complexities Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern 31 Machine Learning and process understanding can transform postprocessing and parameterization Newapproachesfor“Bayesian”deeplearningwithskeweddataisneededforclimateuncertainty

Machine Learning and process understanding can transform postprocessing

Climate Resilience and the Role of AI: A Convergence of Complexities

and

parameterization

Bayesiandeeplearningcanimprovestatisticaldownscaling(anddeepemulationfordynamical?)

Heavens, N. G., Ward, D. S. & Mahowald, N. M. (2013) : Studying and Projecting Climate Change with Earth System Models. Nature Education

Knowledge 4(5):4

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

Vandal, T., E. Kodra, S. Ganguly, A. Michaelis, R. Nemani, A.R. Ganguly. DeepSD: Generating high resolution climate change projections through single image super-resolution. In Proc. 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1663-1672. ACM KDD, 2017.

Reichstein, M., Camps-Valls, G., Stevens, B. et al. (2019): Deep learning and process understanding for datadriven Earth system science.

Nature 566, 195–204 (2019)

(SDS

Auroop R. Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory
Lab)
32
Auroop R. Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab)
8, 2023, 1
33
extremes
threat
the resilience of lifeline infrastructures
Climate Resilience and the Role of AI: A Convergence of Complexities Expeditions in Experiential AI Seminar Series. March
PM Eastern
Climate induced
act as
multipliers for
TheLondonrailsysteminvulnerabletofloodingcompoundedbyopportunisticcyberattacks
N., Chatterjee, S. and Ganguly, A.R., 2020. Resilience of Urban transport network-of-networks under intense flood Hazards exacerbated by targeted Attacks. Scientific Reports, Nature Publishing,10(1), 1-14.
London Rail Multiplex Network Yadav,
Auroop R. Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab) Climate Resilience and the Role of AI: A Convergence of Complexities Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern 34 Climate induced extremes act as threat multipliers for the resilience of lifeline infrastructures TheUSNationalAirspaceSystemAirportNetworkinvulnerabletowinterstormsandcyberthreats Clark, K.L., Bhatia, U., Kodra, E.A. and Ganguly, A.R., 2018. Resilience of the US National Airspace System Airport Network. IEEE Transactions on Intelligent Transportation Systems. DOI: 10.1109/TITS.2017.2784391. The US National Airspace System Airport Network

Comprehensive climate risk and resilience frameworks can help decisions despite uncertainties

Climate Resilience and the Role of AI: A Convergence of Complexities

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

Theclimate-water-energynexusandfutureinvestmentimplicationsforresilientpowerproduction

Ganguli, P., Kumar, D. and Ganguly, A.R., 2017. US Power Production at Risk from Water Stress in a Changing Climate. Scientific Reports, Nature Publishing Group, 7(1), p.11983.

Ganguly, A.R., Kumar, D., Ganguli, P., Short, G. and Klausner, J., 2015.

Climate adaptation informatics: water stress on power production. Computing in Science & Engineering, 17(6), pp.53-60.

(SDS

Auroop R. Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory
Lab)
35

Comprehensive multisector climate risk management: Case of urban/regional

Climate Resilience and the Role of AI: A Convergence of Complexities

transport systems

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

ArtificialIntelligenceforclimateinducedfloodingresilienceforurban/regionaltransportlifelines

Extreme Value Analysis with Physics-Guided Covariates

Physics-Guided Bayesian Uncertainty Quantification

Part II: KGML for better translations to infrastructural design curves from hydrometeorological extremes

Physics-Guided

Bayesian Deep Learning at Scale

Part I: KGML for systematically improved hydrometeorological extremes from climate models and observations

Graphical Methods for Teleconnections and Regional Climate

Hybrid Physics and Bayesian Deep Learning for Spatiotemporal Prediction

Part III: KGML for improved short term quantification precipitation and hydrological predictions

Part IV: KGML for resilience of regional and urban transportation networks

Process-Guided Network

Science and Optimization for Resilience Patterns

(SDS

Auroop R. Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory
Lab)
36

Comprehensive multisector climate risk management: Case of urban/regional transport systems

Climate Resilience and the Role of AI: A Convergence of Complexities

Networkscienceguidedbyengineeringprinciplescaninformlifelineresilienceunderclimateloads

Indian Railways Network

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

London Rail Multiplex Network

Bhatia, U., Kumar, D., Kodra, E. and Ganguly, A.R., 2015. Network science-based quantification of resilience demonstrated on the Indian Railways Network. PLOS ONE, 10(11), p.e0141890.

US Airport Network

Clark, K.L., Bhatia, U., Kodra, E.A. and Ganguly, A.R., 2018. Resilience of the US National Airspace System Airport Network. IEEE Transactions on Intelligent Transportation Systems. DOI: 10.1109/TITS.2017.2784391.

Yadav, N., Chatterjee, S. and Ganguly, A.R., 2020. Resilience of Urban transport network-of-networks under intense flood Hazards exacerbated by targeted Attacks Scientific Reports, Nature Publishing,10(1), 1-14.

Bhatia, U., Sela, L. and Ganguly, A.R., 2020. Hybrid method of recovery: combining topology and optimization for transportation systems. ASCE Journal of Infrastructure Systems, 26(3), p.04020024..

Sela, L., Bhatia, U., Zhuang, J. and Ganguly, A., 2017. Resilience strategies for interdependent multiscale lifeline infrastructure networks. In Computing in Civil Engineering, 2017 (265-272).

Boston Rail Network

Boston Rail-Power Multiplex Network

(SDS

Auroop R. Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory
Lab)
37
Auroop R. Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab) Climate Resilience and the Role of AI: A Convergence of Complexities Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern 38 The Human, Social, and Policy Dimensions of Convergent Solutions in Climate Science & Resilience Mappingtheworld’sfree-flowingriversonlytwenty-threepercentflowsareuninterrupted Grill, G., Lehner, B., Thieme, M. et al. Mapping the world’s free-flowing rivers. Nature 569, 215–221 (2019). https://doi.org/10.1038 /s41586-019-1111-9 Map of the world’s free-flowing rivers.
37 per cent of rivers
1,000
over their
cent
to the
Only
longer than
kilometres remain freeflowing
entire length and 23 per
flow uninterrupted
ocean.
Auroop R. Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab) Climate Resilience and the Role of AI: A Convergence of Complexities Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern 39 The Human, Social, and Policy Dimensions of Convergent Solutions in Climate Science & Resilience Waterscience,engineering,andpolicyacrossscalesneedstomineandembedhumandecisions

A summary of SDS Lab products

42 slides conveying the meaning of life, the universe, and everything

Auroop R. Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory
Lab)
in Experiential AI Seminar Series.
8, 2023, 1
(SDS
Climate Resilience and the Role of AI: A Convergence of Complexities Expeditions
March
PM Eastern
Tangible Products & Acknowledgment
40
Auroop R. Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory (SDS Lab) Climate Resilience and the Role of AI: A Convergence of Complexities Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern 41 National and Global Assessments to Urban/Regional Climate Action and a Successful Startup Tangibleproductsfromourclimateresilienceresearchforpublic,private,andgovernmentsectors

The next-generation of researchers, entrepreneurs, academics, professionals, and policy makers

Climate Resilience and the Role of AI: A Convergence of Complexities

Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern

Ph.D.studentsandpostdoctoralresearcherswhoseworkhasbeenprominentlyfeaturedinthistalk

NoChatGPTcandointheforeseeablefuturewhattheyhavecollectivelyaccomplishedandIcanproveittoyou!

(SDS

Auroop R. Ganguly, Northeastern University, Sustainability & Data Sciences Laboratory
Lab)
42
Udit Bhatia Devashish Kumar Kevin Clark Kate Duffy Poulomi Ganguli Shih-Chieh Kao Evan Kodra Karsten Steinhaeuser Thomas J. Vandal Daiwei Wang Lizzy Warner Nishant Yadav

Turn static files into dynamic content formats.

Create a flipbook
Issuu converts static files into: digital portfolios, online yearbooks, online catalogs, digital photo albums and more. Sign up and create your flipbook.