LEADER 02164nam 2200589Ia 450 001 9910778634603321 005 20230124180910.0 010 $a0-309-18357-X 010 $a1-280-21005-2 010 $a9786610210053 010 $a0-309-59403-0 010 $a0-585-24389-1 035 $a(CKB)110986584752966 035 $a(OCoLC)614736864 035 $a(CaPaEBR)ebrary10055293 035 $a(SSID)ssj0000200017 035 $a(PQKBManifestationID)12058706 035 $a(PQKBTitleCode)TC0000200017 035 $a(PQKBWorkID)10196640 035 $a(PQKB)10401151 035 $a(MiAaPQ)EBC3376254 035 $a(Au-PeEL)EBL3376254 035 $a(CaPaEBR)ebr10055293 035 $a(OCoLC)923262338 035 $a(EXLCZ)99110986584752966 100 $a20000425d2000 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aMeasuring the science and engineering enterprise$b[electronic resource] $epriorities for the Division of Science Resources Studies /$fCommittee to Access the Portfolio of the Division of Science Resources Studies of NSF, Office of Scientific and Engineering Personnel, Committee on National Statistics, National Research Council 210 $aWashington, D.C. $cNational Academy Press$dc2000 215 $a1 online resource (160 p.) 225 1 $aCompass series 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-309-06892-4 320 $aIncludes bibliographical references (p. 111-115). 410 0$aCompass series (Washington, D.C.) 606 $aResearch$zUnited States$xEvaluation 606 $aEngineering$xResearch$zUnited States$xEvaluation 615 0$aResearch$xEvaluation. 615 0$aEngineering$xResearch$xEvaluation. 676 $a507/.2/073 712 02$aNational Research Council (U.S.).$bCommittee to Assess the Portfolio of the Division of Science Resources Studies of NSF 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910778634603321 996 $aMeasuring the science and engineering enterprise$93763677 997 $aUNINA LEADER 03470nam 2200505 450 001 9910529897703321 005 20230822173444.0 010 $a1-119-48497-9 010 $a1-119-48500-2 010 $a1-119-48498-7 035 $a(CKB)4100000007814835 035 $a(Au-PeEL)EBL5731870 035 $a(CaSebORM)9781119484967 035 $a(MiAaPQ)EBC5731870 035 $a(OCoLC)1056201930 035 $a(EXLCZ)994100000007814835 100 $a20190329d2019 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aSocial-behavioral modeling for complex systems /$fedited by Paul K. Davis, Angela O'Mahony and Jonathan Pfautz 205 $aFirst edition 210 1$aHoboken, New Jersey :$cWiley,$d[2019] 210 4$d©2019 215 $a1 online resource (947 pages) 225 0 $aTHEi Wiley ebooks. 311 $a1-119-48496-0 330 $aThis volume describes frontiers in social-behavioral modeling for contexts as diverse as national security, health, and on-line social gaming. Recent scientific and technological advances have created exciting opportunities for such improvements. However, the book also identifies crucial scientific, ethical, and cultural challenges to be met if social-behavioral modeling is to achieve its potential. Doing so will require new methods, data sources, and technology. The volume discusses these, including those needed to achieve and maintain high standards of ethics and privacy. The result should be a new generation of modeling that will advance science and, separately, aid decision-making on major social and security-related subjects despite the myriad uncertainties and complexities of social phenomena. Intended to be relatively comprehensive in scope, the volume balances theory-driven, data-driven, and hybrid approaches. The latter may be rapidly iterative, as when artificial-intelligence methods are coupled with theory-driven insights to build models that are sound, comprehensible and usable in new situations. With the intent of being a milestone document that sketches a research agenda for the next decade, the volume draws on the wisdom, ideas and suggestions of many noted researchers who draw in turn from anthropology, communications, complexity science, computer science, defense planning, economics, engineering, health systems, medicine, neuroscience, physics, political science, psychology, public policy and sociology. In brief, the volume discusses: Cutting-edge challenges and opportunities in modeling for social and behavioral science Special requirements for achieving high standards of privacy and ethics New approaches for developing theory while exploiting both empirical and computational data Issues of reproducibility, communication, explanation, and validation Special requirements for models intended to inform decision making about complex social systems 606 $aSocial psychology$xData processing 606 $aCollective behavior 615 0$aSocial psychology$xData processing. 615 0$aCollective behavior. 676 $a302.011 702 $aDavis$b Paul K. 702 $aO'Mahony$b Angela 702 $aPfautz$b Jonathan 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910529897703321 996 $aSocial-behavioral modeling for complex systems$92753004 997 $aUNINA