从被动循环到动态系统：政策制定的下一个时代

From reactive cyclesto dynamic systems Table of contents Emerging trends are transforming traditional policymakingand creating opportunities to rethink its futureby leveraging new innovations From To Anticipatoryparticipatorysystems Reactive that use foresight, horizonscanning, scenario planning, andpredictive analytics to detectdisruptions early and triggertimely policy analysis before risksmaterialize where policies lag behind fast-evolving societal needs Future-readypoliciesImpact From To Personalized andcontext-awarepolicy delivery One-size-fits-allpolicies that applies data, behavioralinsights, and human-centereddesign to tailor interventions tospecific individuals, communities,and places, improving relevance,equity, and trust designed around an imagined“average” citizen—oftenoverlooking diverse needs andlived realities Citizen-centricinterventions andoutcomesImpact To From Linearpolicymaking Iterative policysandboxing that creates safe, real-worldprototyping, testing, andrefinement before policies scale.This grounds decisions in realbehavior, reducing risks andaccelerating innovation that assumes a predictable pathto scale and generates learningonly after policy implementation De-risked scale up,and evidence-ledinnovationImpact From To Static, retrospectiveevidence Real-timeintelligence powered by advanced analytics,live data streams, and connectedecosystems, enabling continuoussensing, proactive decision-making based on periodic reportsand lagging indicators Decision agility anddynamic coursecorrectionImpact From To Fixedreview cycles Adaptivepolicy systems that embed continuous learningand feedback loops across thepolicy cycle, shaping policies toevolve with real-world complexityand shifting citizen needs that struggle to keep pace withfast-changing realities Continuous learningsystemsImpact From To Networkedandsystemicgovernance Siloedpolicymaking that mobilizes government, theprivate sector, academia, andcitizens as co-designers ofsolutions, aligning incentivesacross actors and drivingcollective action that deliversdurable, system-wide public value constrained within singleinstitutions or sectorsrestraininginformation flow,limiting collaboration,andweakening coordinationoncomplexcross-cuttingchallenges Systemic andintegrated governanceImpact Capabilities within the policy cycle areevolving from traditional ways … … and are being enhanced to help policymakersfuture-proof policies, meet citizens’ needs, andoperate more efficiently and intelligently The augmented policy cycleCapabilities reimagined 01 Policy analysis Anticipatory foresight Policy analysis continuously sensesweak signals, explores futurescenarios, and proactively reframespolicy questions before risks andopportunities fully materialize.Policy analysis continuously sensesweak signals, explores futurescenarios, and proactively reframespolicy questions before risks andopportunities fully materialize. Leverageshorizon scanning,scenario planning, and predictiveanalyticsto anticipate risks andshape proactive policy responsesLeverageshorizon scanning,scenario planning, and predictiveanalyticsto anticipate risks andshape proactive policy responses Learn more The augmented policy cycleCapabilities reimagined 02 Policy design Personalized delivery;Policy sandboxing Policy design evolves into ahuman-centered, data-driven, andexperimental approach thatpersonalizes interventions and testsoptions through sandboxes andsimulations before scaling.Policy design evolves into ahuman-centered, data-driven, andexperimental approach thatpersonalizes interventions and testsoptions through sandboxes andsimulations before scaling. Tailors interventions to individualand community needs usingdataand human-centered design,ensuring relevant, equitable, andtrusted outcomesTailors interventions to individualand community needs usingdataand human-centered design,ensuring relevant, equitable, andtrusted outcomes Learn more The augmented policy cycleCapabilities reimagined 03 Policy implementation Real-time intelligence Policy implementation becomesadaptive and intelligence-led, usingreal-time data, predictive analytics,and sentiment sensing to targetenforcement, adjust delivery,and learn continuously asoutcomes emerge.Policy implementation becomesadaptive and intelligence-led, usingreal-time data, predictive analytics,and sentiment sensing to targetenforcement, adjust delivery,and learn continuously asoutcomes emerge. Uses advanced analytics andconnected data ecosystems todeliverreal-time insights,enabling moreproactive, agile, andimpact-driven decisionsUses advanced analytics andconnected data ecosystems todeliverreal-time insights,enabling moreproactive, agile, andimpact-driven decisions Learn more The augmented policy cycleCapabilities reimagined 04 Policy evaluation Adaptive policy systems Policy evaluation transforms into a livedecision-support function thatcontinuously measures impact, valuef