简介：Aformalpolicydevelopmentframework,basedonasystemofsystems(SoS)approach,issynthesizedtosystematicallyaddress,inanintegrativeandadaptivefashion,majorglobalchallenges,suchasthecurrentfoodandfinancialcrises,andtheirinteractionswithotherkeynatural,societal,andtechnologicalsystems.ASoSapproachseekstorespectthedifferentvaluesystemsofmultipleparticipants,toharnesscomplexitythrougheffectiveintegration,andtoengagetheworldofuncertaintyandunpredictabilitywithanadaptiveresponse.Facedwiththepresentglobalchallenges,whatisneededarestrategicandoperationalmethodswhichleadtoethicalpolicies,enhanceintegrativeandadaptivemanagementpractices,andareabletodirectconflictresolutioninapositivedirection.Policymakersneedtoolstomodelandanalyzecomplexsystemswhichtheyaretryingtoresponsiblygovern,takingintoaccountvaluesandriskstodesignandevaluatedifferentpolicies.ApreliminaryinvestigationintotheglobalfoodsystemisundertakentounderstandtheSoSandtoprovideinsightsonhowtocarryoutpolicydevelopmentusingtheproposedframework.

简介：当越来越多的公司捕获了并且分析了数据的巨大的卷改进供应链的性能，这份报纸开发把大数据用作输入在食物供应链做更多的明智的生产决定的一个大数据收获模型。由介绍贝叶斯的网络的一个方法，这份报纸集成样品数据并且发现在数据之间的cause-and-effect预言市场需求。然后，把产品需求翻译成进程并且把进程划分成任务和财产的推理图模型被介绍，并且在食物供应链的大数据怎么能与贝叶斯的网络被相结合的一个例子和推理图当模特儿指导生产决定。我们的结论显示分析框架为由从大数据提取价值支持支持决策有广阔潜力。