LEADER 04754nam 2200685 a 450 001 9910972713303321 005 20251117063230.0 010 $a9786612130281 010 $a9780309177504 010 $a0309177502 010 $a9781282130289 010 $a1282130285 010 $a9780309137263 010 $a0309137268 035 $a(CKB)1000000000786319 035 $a(OCoLC)503447589 035 $a(CaPaEBR)ebrary10309979 035 $a(SSID)ssj0000127258 035 $a(PQKBManifestationID)11143121 035 $a(PQKBTitleCode)TC0000127258 035 $a(PQKBWorkID)10051149 035 $a(PQKB)11074262 035 $a(MiAaPQ)EBC3378491 035 $a(Au-PeEL)EBL3378491 035 $a(CaPaEBR)ebr10309979 035 $a(CaONFJC)MIL213028 035 $a(OCoLC)923280361 035 $a(Perlego)4736072 035 $a(BIP)26987684 035 $a(EXLCZ)991000000000786319 100 $a20091006d2009 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aComplex systems $etask group summaries ; Conference, Arnold and Mabel Beckman Center, Irvine, California, November 13-15, 2008 /$fThe National Academies Keck Futures Initiative 205 $a1st ed. 210 $aWashington, D.C. $cNational Academies Press$d2009 215 $a1 online resource (121 p.) 300 $a"National Academies Keck Futures Initiative Conference on Complex Systems"--T.p. verso. 311 08$a9780309137256 311 08$a030913725X 320 $aIncludes bibliographical references. 327 $aIntro -- The National Academies Keck Futures Initiative -- Preface -- Contents -- General Summary -- Task Group Summary 1--How would you design the acquisition and organization of the data required to completely model human biology? -- Task Group Summary 2--What does it take to achieve a sustainable future? The problem of the commons: achieving a sustainable quality of life. -- Task Group Summary 3--How can we enhance the robustness via interconnectivity? -- Task Group Summary 4--Can engineering systems and control approaches generate new strategies for altering imbalanced macrophage profiles in human disease? -- Task Group Summary 5--How can social networks aid our understanding of complexity? -- Task Group Summary 6--The brain is the epitome of complexity. How will understanding the complex, linked interactions among the many types of neurons in the brain lead to knowing how the brain contributes to normal function and susceptibility to neuropsychiatric disease? -- Task Group Summary 7--How can we enhance robustness of engineered systems, and how can the methods of engineering analysis be extended to address issues of complexity and management in other fields? -- Task Group Summary 8--Ecological robustness: Is the biosphere sustainable? -- Task Group Summary 9--Can one control flow and transport in complex systems? -- Appendixes -- Preconference Webcast Tutorials -- Agenda -- Participant List. 330 $aThe National Academies Keck Futures Initiative was launched in 2003 to stimulate new modes of scientific inquiry and break down the conceptual and institutional barriers to interdisciplinary research. At the Conference on Complex Systems, participants were divided into twelve interdisciplinary working groups. The groups spent nine hours over two days exploring diverse challenges at the interface of science, engineering, and medicine. The groups included researchers from science, engineering, and medicine, as well as representatives from private and public funding agencies, universities, businesses, journals, and the science media. The groups needed to address the challenge of communicating and working together from a diversity of expertise and perspectives as they attempted to solve complicated, interdisciplinary problems in a relatively short time. The summaries contained in this volume describe the problem and outline the approach taken, including what research needs to be done to understand the fundamental science behind the challenge, the proposed plan for engineering the application, the reasoning that went into it and the benefits to society of the problem solution. 606 $aBiological systems$xComputer simulation$vCongresses 606 $aBiocomplexity$xSimulation methods$vCongresses 606 $aComputational complexity$vCongresses 615 0$aBiological systems$xComputer simulation 615 0$aBiocomplexity$xSimulation methods 615 0$aComputational complexity 676 $a620.0011 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910972713303321 996 $aComplex Systems$9374125 997 $aUNINA