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PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
Accelera'ngScience:AGrandChallengeforAI
VasantGHonavarAr5ficialIntelligenceResearchLaboratory
CollegeofInforma5onSciencesandTechnologyComputerScienceGraduateProgram
CenterforBigDataAnaly5csandDiscoveryInforma5csPennsylvaniaStateUniversity
ConvergenceofDataandCompu5ngTaskForce,CCC
Ar5ficialIntelligenceTaskForce,CCC
[email protected]://faculty.ist.psu.edu/vhonavar
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
WelcomeandThanksØ Welcome!Ø Thanks!
§ Par5cipantsandspeakers§ Associa5onfortheAdvancementofAr5ficialIntelligence(AAAI),
especiallyCarolHamilton§ NortheastBigDataHub:anNSF-fundedacademic-industrypartnership§ CRAStaff:HelenWright,KhariDouglas§ Co-organizers:CarlaGomes,ChiKaBaral,GregHager,AnnDrobnis§ Compu5ngCommunityConsor5um(CCC)
§ AnNSF-fundedstandingcommiKeeoftheCompu5ngResearchAssocia5on(CRA)
§ Chargedwithdeveloping,ar5cula5ngandcommunica5ngabold,mul5-themedvisionforcompu5ngresearch
§ LedbyaCouncilrepresen5ngthecompu5ngresearchcommunity
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Accelera'ngScience:AGrandChallengeforAI
• Talkbasedinparton:Accelera5ngScience:ACompu5ngResearchAgenda.ACompu5ngCommunityConsor5umWhitePaper,VasantHonavar,MarkHill,andKatherineYelick,2016hKp://cra.org/crn/2016/03/3501/
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Accelera'ngScience:AGrandChallengeforAIØ Allscienceiseitherstampcollec5ngor“physics”Ø Bigdata=spectacularstampcollec5ons!Ø Bigdata≠Demiseofthescien5ficmethodØ Accelera5ngsciencepresentsagrandchallengeforAI1:
§ Analysisandsynthesisofcomputa5onalabstrac5onsofboth§ universesofscien5ficdiscourse§ scien5ficar5factsandscien5ficprocess
§ Cogni5vetoolsthataugmentandextendhumanintellect§ Collabora5vehuman-machineinfrastructureforscience
Ø Accelera5ngsciencecallsforfounda5onaladvanceswithinandacrossvirtuallyallsubfieldsofAr5ficialIntelligence!
Ø Symposiumseekstodevelopacommunityresearchagenda
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
1Vasant Honavar, Mark Hill, and Katherine Yelick, Accelerating Science: A Computing Research Agenda. A Computing Community Consortium White Paper, 2016 http://cra.org/crn/2016/03/3501/
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
RecentHistory
• NSFWorkshoponDiscoveryInforma5cs,February2012• AAAIFallSymposiumonDiscoveryInforma5cs,November2012• CMUSVSymposiumonCogni5veSystemsandDiscoveryInforma5cs,2013• AAAIFallSymposiumonDiscoveryInforma5cs,November2013• AAAIWorkshoponDiscoveryInforma5cs,July2014• ACMSIGKDDWorkshoponDiscoveryInforma5cs,August2014• PSBWorkshoponDiscoveryInforma5cs,January2015• CCCWhitePaperonAccelera5ngScience:ACompu5ngResearchAgenda,
February2016• AAAIFallSymposiumonAccelera5ngScience:AGrandChallengeforAI
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Tradi'onalacceleratorsofscience• Advancesin:
– Dataacquisi5on(Newsensingmodali5es,instrumentsofobserva5on,improvementsinresolu5on,rate,capacity)
– Mathema5calorcomputa5onalabstrac5onsorrepresenta5ons(e.g.,calculusinthecaseofphysics)
– Sharingofscien5ficar5facts(data,experimentalprotocols,methods,models,conjectures…)withinandacrossdisciplines
– Toolsfordataanalysis,modelingandsimula5on
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Personal
Public
Social
HumanSensors HealthCare
DigitalMediaOmics
IM EMAIL
VOIP BLOGS
VIDEO
Source: Keith Marzullo
Advancesindataacquisi5onà“BigData”.
MOBILE
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
Sense
Iden5fy
Assess
Intervene
Evaluate
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Prac'ceofScienceØ Sciencecirca16thcentury
– TychoBrahegathered20yearsofextremelyaccurateastronomicalmeasurements:posi5onsofthestarsandplanets:bigdata
– JohannesKepler,workingforTychoBrahe,fitthedataineverywayimaginabletodiscoverlawsofplanetarymo5on:bigdataanaly5cs
– IsaacNewton’sinven5onofcalculusprovidedthelanguagetoexpress,analyze,andcommunicatetheunifiedlawsofmo5on:knowledgerepresenta5onforphysics
Ø Modernsciencereliesonscien5ficmethod,abodyoftechniquesforabodyoftechniquesforacquiringorupda5ngknowledge(throughsystema5cobserva5on,experimenta5on,hypothesisgenera5on,tes5ng,inanitera5vefashion)
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Acartoonofthescien5ficmethod
Model
Data
Hypotheses
Predictions
Deduction
Observation Experimentation
Induction
Abduction
Review, Replication, Communication, Publication
Synthesis, Integration
Background Knowledge
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Does“Bigdata”renderthescien'ficmethodobsolete?
• “Petabytesallowustosay:“Correla5onisenough.”Wecanstoplookingformodels.
• “Wecananalyzethedatawithouthypothesesaboutwhatitmightshow”.
• “Wecanthrowthenumbersintothebiggestcompu5ngclusterstheworldhaseverseenandletsta5s5calalgorithmsfindpaKernswheresciencecannot.”
• “Correla5onsupersedescausa5on,andsciencecanadvanceevenwithoutcoherentmodels,unifiedtheories,orreallyanymechanis5cexplana5onatall.”
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Iscorrela'onallweneedinaworldawashwithdata?
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
1Henderson, 2008. The Gospel of the Flying Spaghetti Monster.
Isglobalwarmingcausedbyshrinkingnumbersofpirates1?• Iscorrela5onallweneed?Clearlynot!• Doesbigdatamakethescien5ficmethodobsolete?• Absolutelynot!
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Roleofscien'ficmethodinaworldawashwithdataØ Allscienceiseitherstampcollec5ngorphysics1–RutherfordØ Datarevolu5onimpliesanexponen5algrowthinthevolume,velocity,
varietyofstampcollec5on!Ø Compu5ngrevolu5onenablesustosort,label,organize,catalogand
annotatetheresul5ngstampcollec5onmoreefficientlythaneverbefore!Ø Connec5vityrevolu5onallowsustoshareandlinkdisparatestamp
collec5ons!Ø Muchresearchhasfocusedononthecollec5on,management,analysisof
bigdataØ Challenge:Makingtheleapfrom:
– stampcollec5ngto“physics”– descrip5vesciencetopredic5vescience– correla5ontocausality
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
1“Physics” here is used as a metaphor for predictive science
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Accelera'ngscience:Theprac'calimpera've
• “Weareclosetohavinga$1,000genomesequence,butthismaybeaccompaniedbya$1,000,000interpreta5on1”
• >1300NARgenedatabases• 1Mnewbiomedicaljournalar5cles
publishedperyear(2700/day)
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
SlidecourtesyLarryHunter
1Bruce Korf, Former President, American College of Medical Genetics
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Theimpera'veforaccelera'ngscience• Automa5onof“Bigdata”acquisi5on,managementandanaly5cs
accelerates– Brahe’spartofthescien5ficendeavor(dataacquisi5on,management)
– Andthankstoadvancesinmachinelearningincreasingly,Kepler’spart(dataanaly5csandmodelbuilding)
– Butforthemostpart,leavesuntouched,theotheraspectsofscience,whichbecometheratelimi5ngstepsinscience
Ø Accelera5ngsciencerequiresaccelera5ngtherate-limi5ngstepsof
thescien5ficmethod!
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Acartoonofthescien5ficprocess
Model
Data
Hypotheses
Predictions
Deduction
Observation Experimentation
Induction
Abduction
Review, Replication, Communication, Publication
Synthesis, Integration
Background Knowledge
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Accelera5ngsciencethroughautoma5on?
http://www.wired.com/wiredscience/2011/04/robot-scientist-language/
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Science 3 April 2009: Vol. 324 no. 5923 pp. 85-89The Automation of Science
RossD.King,JemRowland,StephenG.Oliver,MichaelYoung,WayneAubrey,EmmaByrne,MariaLiakata,MagdalenaMarkham,PinarPir,LarisaN.Soldatova,AndrewSparkes,KennethE.WhelanandAmandaClare
ABSTRACTThe basis of science is the hypothetico-deductive method and the recording of experiments in sufficient detail to enable reproducibility. We report the development of Robot Scientist
“Adam,” which advances the automation of both. Adam has autonomously generated functional genomics hypotheses about the yeast Saccharomyces cerevisiae and experimentally tested these hypotheses by using laboratory automation. We have confirmed Adam's conclusions through manual experiments. …
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Howclosearewetofullyautoma'ngscience?
Ø Notvery,exceptperhapsinverycarefullyconstrainedsetngsØ Collabora5vehuman-machinesystemsmightofferamore
realis5capproachtoaccelera5ngscienceØ Accelera5ngsciencepresentsagrandchallengeforAI:
§ Analysisandsynthesisofcomputa5onalabstrac5onsofboth§ Universesofscien5ficdiscourse§ Scien5ficar5factsandthescien5ficprocess
§ Cogni5vetoolsthataugmentandextendhumanintellect§ Collabora5vehuman-machineinfrastructureforscience
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Computa'onalabstrac'onsofscien'ficdomainsØ Computa5onalabstrac5onsincreasinglyservearoleinmany
sciences,arolesimilartothatplayedbycalculusinphysicsØ Evolu5on(e.g.,Holland,Valiant)Ø Generegula5on(e.g.,Dougherty)Ø Ra5onality(e.g.,Roughgarden)Ø Socialnetworks(e.g.,Kleinberg)Ø Learning(e.g.,Valiant,SuKon,Langley,Pearl)Ø Brain(McCulloch,Eliasmith,Gallant)
Ø Accelera5ngsciencecallsforcomputa5onalabstrac5onsofuniversesofscien5ficdiscourse,alongwithmethodsforefficientinference
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Example:generegula'on
• Genesa,b,c,dcodeforproteinsA,B,C,D• ProteinsAandBformahetero-dimerthatac5vatestheexpression
ofgenec• ProteinCinhibitstheexpressionof(andco-regulates)genesbandd• ProteinDisnecessaryforthetranscrip5onofproteinB
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
AComputa'onalabstrac'on:Directedlabeledgraphs
• Nodescorrespondtogenes• Edgescorrespondtoregulatoryinterac5ons• Edgelabelscanbeusedtodenotethetypesofinterac5ons,orlistsof
regulatorsandtheirinfluenceonthespecificedge,e.g.,KEGGpathways• Canhelpuncoversequencesofregulatoryevents,cycles(feedback
regula5on),redundancy…
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Acomputa'onalabstrac'on:Booleannetworks
• Genesaremodeledbybinaryvariables-on,off(1,0)• Statesofgenesareupdatedindiscrete5mesteps• Stateofageneat5met+1isaBooleanfunc5onofthestatesat5metofthe
genesthatinfluenceit• AnNgeneBooleannetworkcaninprinciplebeinoneof2Nstates• Canhelpdetermineifthenetworkcangetfromonestatetoanother,the
effectofgeneknockout,etc.Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Computa'onalabstrac'onsofscien'ficscien'ficprocesses
Ø Accelera5ngsciencecallsforcomputa5onalabstrac5onsofscien5ficar5factsandscien5ficprocesses§ Acquiring,organizingandmaintainingbackground“knowledge”§ Formula5ngandpriori5zingques5ons§ Formula5ng,priori5zing,andplanningstudies§ Designing,priori5zing,planning,execu5ng,monitoringexperiments
§ Drawinginferences,construc5ngexplana5onsandhypotheses§ Synthesizingfindingsfromdisparateobserva5onalandexperimentalstudies
§ Expressingandreasoningwithscien5ficarguments
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Computa'onalabstrac'onsofscien'ficscien'ficprocessesØ Accelera5ngsciencecallsforcomputa5onalabstrac5onsof
scien5ficar5factsandscien5ficprocesses§ Buildingaccurate,communicable,testablemodelsfromknowledge,observa5onsandexperiments
§ Linkingdata,models,scien5ficarguments,hypotheses,experiments
§ Linkingandreasoningwithmodelsatdifferentlevelsofabstrac5onoracrossdifferentfacets
§ Sharingdata,models,hypotheses,andotherscien5ficar5facts§ Documen5ngandreplica5ngstudies§ Integra5ngresultsintothelargerbodyofknowledge
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Human-MachineCollabora5onØ Accelera5ngsciencecallsfor
§ Cogni5vetoolsthataugmentandextendhumanintellect§ Sharableandcommunicablerepresenta5onsofscien5ficar5facts§ Data,experimentalprotocols,analysis,models,hypotheses,scien5ficarguments,workflows
§ Organiza5onalstructuresandprocessesforcollabora5vescience§ Assemblingteams§ Decomposingtasks,assigningsubtasks,combiningresults§ Incen5vizingpar5cipants§ Ci5zenscience
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
ACartoonofthescien5ficprocess
Model
Data
Hypotheses
Predic5ons
Deduc5on
Observa5onExperimenta5on
Induc5on
Abduc5on
Review,Replica5on,Communica5on,Publica5on
Synthesis,Integra5on
BackgroundKnowledge
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Examplesofcogni5vetoolsAscien5st’sassociatethat:– Givenbackgroundknowledgeandaccesstoliteratureintwoormoredomains,useliteratureinonedomaintogeneratehypothesesorexplana5onsinanotherdomain?
– Givencausalinforma5onlearnedfromrestrictedexperimentsinmul5plesetngs(saymouse,pig),whenpossible,infercausalinforma5oninatargetsetng(sayhuman)?
– Givenascien5ficques5on,andasocialnetworkofresearchersandtheirscien5ficoutpute.g.,publica5ons,iden5fyacollec5onofresearchersthatarebestequippedtoaddresstheques5on?
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
SummaryØ Allscienceiseitherstampcollec5ngor“physics”Ø Bigdata=spectacularstampcollec5ons!Ø Bigdata≠Demiseofthescien5ficmethodØ Accelera5ngsciencepresentsagrandchallengeforAI:
§ Analysisandsynthesisofcomputa5onalabstrac5onsofboth§ universesofscien5ficdiscourse§ scien5ficar5factsandscien5ficprocess
§ Cogni5vetoolsthataugmentandextendhumanintellect§ Collabora5vehuman-machineinfrastructureforscience
Ø Accelera5ngsciencecallsforfounda5onaladvanceswithinandacrossvirtuallyallsubfieldsofAI!
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Agenda:ThursdayMorning• Session1:9:00am–10:30am
– VasantHonavar,PennsylvaniaStateUniversity– CarlaGomes,CornellUniversity– VipinKumar,UniversityofMinnesota– PatLangley,Ins5tutefortheStudyofLearningandExper5se(ISLE)
• CoffeeBreak:10:30AM • Session2:11:00amto12:30pm
– SamanthaKleinberg,StevensIns5tuteofTechnology– EliasBareinboim,PurdueUniversity– DavidJensen,UniversityofMassachuseKs– KunZhang,CarnegieMellonUniversity
• Lunch:12:30pmto2:00pm
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Agenda:ThursdayAUernoon
• Session3:2:00pmto3:30pm– AshokGoel,GeorgiaTech– AndrewMcCallum,UniversityofMassachuseKsAmherst– HoifungPoon,MicrosoxResearch– JamesEvans,UniversityofChicago
• CoffeeBreak:3:30pm • Session4:4:00pmto5:30pm
– ChandraBhagavatula,AllenIns5tueforAr5ficialIntelligence– YolandaGil,UniversityofSouthernCalifornia/Informa5onSciences
Ins5tute– GullyBurns,Informa5onSciencesIns5tute– DashunWang,NorthwesternUniversity
• Recep'on:6:00pm • 06:00PM Recep'on
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Agenda:FridayMorning
• Session5:9:00amto10:30am– PeterKarp,SRIInterna5onal– LarisaSoldatova,BrunelUniversity,London– AndreiRzhetsky,UniversityofChicago,ConteCenter– MichaelDumon5er,StanfordUniversity
• CoffeeBreak:10:30am• Session6:11:00amto12:30pm(BreakoutSessions)
– ResearchChallengesinAI(KR,NLP,Planning,DecisionMaking)– ResearchChallengesinAI(Machinelearning,causality).– Infrastructure(includingcollabora5vescience,ci5zenscience)– DrivingApplica5ons(LifeSciences,SocialSciences,BrainSciences,
Cogni5veSciences,PublicPolicy) • Lunch:12:30pmto2:00pm
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Agenda:FridayAUernoon
• Session7:2:00pmto3:30pm– ZoranPopovic,UniversityofWashington– CharloKeLee,UniversityofWashington– KevinCrowston,SyracuseUniversity– KlaraNahrstedt,UniversityofIllinoisUrbana-Champaign
• CoffeeBreak:3:30pm • Session8(AgencyRoundtable):4:00pmto5:30pm
– PhilBourne,NIH– FenZhao,NSF– LynneParker,NSF– Mar5nApple,CouncilofScien5ficSocietyPresidents– RenéBaston,NEBigDataHub
• PlenarySession:(Briefhighlightsfromallsymposia):6:00pm
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI
PennsylvaniaStateUniversityCollegeofInforma5onSciencesandTechnology
Ar5ficialIntelligenceResearchLaboratoryCenterforBigDataAnaly5csandDiscoveryInforma5cs
Agenda:SaturdayMorning
• Reportwri'ng:10:00amto12:30pm– VasantHonavar– SamanthaKleinberg– PatLangley– KevinCrowston– KlaraNahrstedt– Addi5onalvolunteerswelcome!
Vasant Honavar, AAAI Fall Symposium on Accelerating Science: A Grand Challenge for AI