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
Big climate data from global models and remote sensing yield insights on extremes and impacts
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)
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)
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)
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)
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
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)
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)
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)
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)
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)
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)
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)
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
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)
Climate resilience advances need to go beyond modeling and simulation but still require HPC
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)
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
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
The “Multimodel Superensemble” approach adapted to climate and earth systems sciences
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)
Big climate data from global models and remote sensing yield insights on extremes and impacts
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)
Changes in climate variability and extremes have broad impacts from infrastructures to ecology
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
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)
Explainable Artificial Intelligence addresses key gaps in climate science and impacts assessments
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
and
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
Comprehensive climate risk and resilience frameworks can help decisions despite uncertainties
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
Comprehensive multisector climate risk management: Case of urban/regional
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
Comprehensive multisector climate risk management: Case of urban/regional transport systems
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
A summary of SDS Lab products
42 slides conveying the meaning of life, the universe, and everything
Expeditions in Experiential AI Seminar Series. March 8, 2023, 1 PM Eastern
Ph.D.studentsandpostdoctoralresearcherswhoseworkhasbeenprominentlyfeaturedinthistalk
NoChatGPTcandointheforeseeablefuturewhattheyhavecollectivelyaccomplishedandIcanproveittoyou!
(SDS