为科学发现创建可信的开放数据.pdf

1、Creating trustworthy open data for scientific discoveryNew York Scientific Data Summit 2024:Addressing Data Challenges in Digital TwinsNew York City,New YorkSeptember 16,2024Grace C.Y.Peng,PhDScully et al.(2015):Hidden technical debt in Machine learning systems doi:10.5555/2969442.2969519December 6,

2、2019 ACD AI WG Reporthttps:/acd.od.nih.gov/documents/presentations/12132019AI_FinalReport.pdfDecember 13,2019 ACD presentationhttps:/acd.od.nih.gov/documents/presentations/12132019AI.pdfThe NIH Bridge2AI ProgramSupported by the NIH Common FundCo-ChairsMichael ChiangEric GreenHelene LangevinSteve She

3、rryBruce TrombergCommon Fund Program LeaderHaluk ResatCommon Fund Program OfficersChris KinsingerGeorge PapanicolaouFederal Working Group(+100 Members)CC,CIT,FIC,NCATS,NCI,NCCIH,NEI,NHGRI,NIA,NIAID,NICHD,NIBIB,NIDA,NIDDK,NIAMS,NIGMS,NIMHD,NINDS,NLM Other Federal Agencies:DARPA,DOE,FDA,NIST,NSFBridge

4、2AI Program Management TeamWorking Group CoordinatorsJames Gao,NEILanay Mudd,NCCIHGrace Peng,NIBIBShurjo Sen,NHGRICommon Fund StaffNatalie Vineyard(Comm)David Dzamashvili(Ops)Karen Kellton(Prog Mgmt)Kristina Faulk(Prog Coord)Awards ManagementKristen Kreuter(DOTM)Erna Petrich(DOTM)DATADiverseFAIRAI-r

5、eadyETHICSAccurateReliableEthically-sourcedPEOPLEDiverse teams&research cohortsTrainingBridge to Artificial IntelligenceVision:to propel biomedical and behavioral research forward by setting the stage for widespread use of artificial intelligence(AI)technologiesGoals:Use biomedical and behavioral re

6、search grand challenges to generate flagship datasets Prepare AI/ML-friendly dataPrioritize ethical best practicesPromote diverse perspectivesData PreparationModel DevelopmentModel EvaluationTeamingEthicsStandardsToolsData AcquisitionSkills&Workforce DevelopmentModel-DrivenExperimental DesignAI/ML M