ConnotationandCountermeasuresofScientificResearchParadigmTransformationintheNewEra
Abstract:Thepurposeofthisstudyistocomprehensivelyexplorethemainconnotationandimportantimpactofscientificresearchparadigmchangefromboththeoreticalandpracticalperspectives.Onthetheoreticallevel,startingwithKuhnandhisTheStructuresoftheScientificRevolution,thisstudyexploresthelogicalessenceoftheconceptof“paradigm.”Atthepracticallevel,throughvariousformssuchasquestionnairesandinterviews,thethreeconnotationsofscientificresearchparadigmchangeinthenewerahavebeencondensed.Namely,solvingsystematicandcomplexproblemshasbecomethemaindrivingforceforscientificresearchparadigmchangeinthenewera,simulationanddatasciencemaybecomeeffectivebreakthroughsinpromotingscientificresearchparadigmchange,andorganizationalinnovationinscientificresearchactivitieshasbecomethefoundationforpromotingscientificresearchparadigmchange.Onthisbasis,itanalyzesthecurrentproblemsinChina’sresponsetothetransformationofresearchparadigmsandproposesthecorrespondingpolicyrecommendations.
02
智能化科研（AI4R）：第五科研范式
AI4R:Thefifthscientificresearchparadigm
Abstract:Thisarticlerefersto“AIforResearch(AI4R)”asthefifthscientificresearchparadigmandsummarizesitscharacteristics,including:(1)thefullyintegrationofartificialintelligenceintoscientificandtechnologyresearch;(2)machineintelligencehasbecomeanintegralpartofscientificresearch;(3)effectivelyhandlingthecombinatorialexplosionproblemwithhighcomputationalcomplexity;(4)probabilityandstatisticalmodelsplayagreaterroleinscientificresearch;(5)withrealizingtheintegrationoffourexistingresearchparadigms,crossdisciplinarycooperationhasbecomethemainstreamresearchmethod;(6)scientificresearchreliesmoreonlargeresearchplatformscharacterizedbylargemodels.ThisarticlepointsoutthatAI4Risascientificrevolution,andtheopportunitiesandchallengesitbringswillaffectthefutureofChina’sscienceandtechnologicaldevelopment.Itcallsonscientistsinvariousfieldstoachievetransformationofintelligentization.
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人工智能驱动的生命科学研究新范式
Anewparadigmoflifescienceresearchdrivenbyartificialintelligence
Abstract:Therapiddevelopmentofbiotechnologyandinformationtechnologyhasbroughtlifesciencesintoaneweraofdataexplosion.Thetraditionallifescienceresearchparadigmstrugglestorevealthefundamentalrulesofcomplexbiologicalsystemsfromrapidlygrowingbiologicalbigdata.Asartificialintelligence(AI)continuestoachievedisruptivebreakthroughsinlifescience,anewparadigmdrivenbyAIisemerging.ThisstudydelvesintotypicalexamplesoflifescienceresearchdrivenbyAI,proposestheconceptandkeyelementsofthenewlifescienceresearchparadigm,elaboratesonthecutting-edgeoflifescienceresearchunderthisnewparadigm,anddiscussesthechallengesinChina.
04
大模型驱动、人机协同的机器化学家云设施
Largemodel-driven,human-computercollaborativeroboticAI-chemistcloudfacility
Abstract:Atpresent,chemicalscienceisfacingunprecedentedopportunitiesandchallengesduetothetechnologicalchangesbroughtbyartificialintelligence.Inordertopromotetheparadigmshiftinchemicalresearch,thisstudyproposestheconstructionplanoftheroboticAI-chemistcloudfacility.Thissystemrealizesanewparadigmofscientificresearchbycollectingmulti-channeldatatobuildadatabase,developinglargescientificmodelsenhancedbychemicalknowledge,constructingclustersofroboticfacilities,andbuildinganintelligentmanagementdecisionsystem,whichwilldramaticallyimprovetheefficiencyofscientificresearchandsolvescientificproblemsinterminalapplications.Thisinfrastructureisexpectedtochangetheparadigmofresearchandleadtomajorscientificbreakthroughsinchemistry.
05
数据科学与计算智能：内涵、范式与机遇
DataScienceandComputingIntelligence:Concept,Paradigm,andOpportunities
Abstract:Thedevelopmentofdatascienceisvaluabletoclarifythetheoreticalboundaryofdatascience,andprovidesnewpossibilitiesandopportunitiesforthesustainabledevelopmentofcomputingintelligence.Meanwhile,thedevelopmentofcomputingintelligenceandtheemergenceofnewintelligenceparadigmscanoffernewchancesforapplicationsofbigdatainvariousindustriesandfields.Thispaperdiscussestheconnotationofdatascience,thedevelopmentofcomputingintelligence,thenewintelligenceparadigm,andliststhekeyapplicationsleadingthedevelopmentofdatascienceandcomputingintelligence.Furthermore,onthebasisofthediscussionduringthe667thXiangshanScienceConference,sevenkeyproblemsofdatascienceandcomputingtechnologyareproposed,anticipatingtoattractattentionofbothresearchersandusersinrelatedfields,graspingtheopportunityoftheera,andpromotingsustainabledevelopmentofdatascienceandcomputingintelligence.
期刊推荐
《中国科学院院刊》是中国科学院主管、主办的以战略与决策研究为主的智库类期刊，其定位为“国家科学思想库核心媒体”，是中国科学院国家高端智库建设的重点媒体平台。
期刊宗旨：本刊重点刊登两院院士和科学家就我国科技及经济社会发展的重大战略问题提出的研究报告，对重要前沿及交叉学科的发展现状与趋势进行评述。以科学家深厚的科学积累及高度的社会责任感，为国家宏观战略决策提供科学支撑，并更广泛、更有效地向社会和公众传播科学思想和科学精神。
中国知网“中文精品学术期刊外文版数字出版工程”（简称JTP）自2015年启动，已与400余种学术期刊合作出版了5万余篇双语对照论文，积累了丰富的学术翻译/英语加工/学术推广经验。形成了集双语出版、主题电子书出版、双语讲座视频制作、期刊英文内容编校加工、资讯编译、海外推广为一体的全方位服务体系，全面助力期刊提升国际影响力。