Complex relationship between science and policyAs highlighted by the variety of roles that SPIs can play, therelationship between science and policy is not linear, but isbetter seen as a circular or nexus relationship. Science hasdifferent roles to play at the different stages of the policyprocess, from issues identification, to agenda setting andidentification of goals and objectives, to the identificationof tools, to monitoring and evaluation and subsequentchanges in policies. However, science is only one of theelements in the policy process, and various actors playdifferent roles at different points in the cycle. 19 Forexample, engaged individuals, civil society organizationsand the media have often played a critical role in raisingpublic awareness of important societal issues. 20 Inaddition, the role that science plays in the policy process islikely to be defined by actors who use scientific knowledgeto prove or promote a specific course of action. Thus, itmight be better to define science as an instrument ratherthan an actor. 21Box 1-2. Possible roles of science through the policy cycleProblem formulation is often led by societal actors, whocan draw on researchers to help make the formulationrigorous. Science usually can play a role in the identificationof solution options. The choice of options for action is ledby the societal players, but can draw on research to provideanalyses of the consequence of different options.Implementation is mainly led societally, but there is plentyof opportunity for research to contribute. Monitoring canbe led by the research side and operational side, with thefeedback and learning a joint activity between scientistsand other actors.Source: Stafford-Smith, M., contribution to the GSDR 2015.Expert quotes (1)“Many objectives and tools of sustainable development faceimplementation challenges of political, economic or technicalnature. There is often doubt among policymakers on therelevance of the solutions proposed by proponents ofsustainable development, especially when it comes totransitioning from small-scale, local experience togeneralizations in terms of public policy. This should be ofdirect concern to science-policy interfaces, if they intend to berelevant from the perspective of public policy. The sciencepolicyinterface should be able to study the modalities ofimplementation of public policy, and the use of differentinstruments: regulatory, economic or societal, and theirrespective effectiveness. The mandate of science-policyinterfaces should include the scientific review of publicpolicies to identify success stories, failures, and possibleadverse effects.”28Box 1-3. Science-policy interface in the UN system: someexamplesThe science-policy interface is a feature of the daily work ofmany organizations in the UN system. Organizations suchas UNESCO and UNEP have strong mandates to promotethe science-policy interface, and do so in different ways.UNESCO’s intergovernmental and international scientificprogrammes (International Hydrological Programme; Manand the Biosphere Programme; International GeosciencesProgramme; International Basic Sciences Programme;Management of Social Transformations Programme) bringtogether scientists and government representatives on arange of sustainability issues, including water, biodiversityand sustainable development, social transformations andothers. Its Intergovernmental Oceanographic Commissionprovides the UN Member States with an essentialmechanism for global co-operation in the study of theocean. In addition, UNESCO also co-sponsors globalassessments that identify policy responses in differentareas and contributes to the global intergovernmentalmechanisms to strengthen the science-policy interface,such as the Intergovernmental Platform on Biodiversity andEcosystem Services (IPBES).Apart from various thematic assessments, UNEP uses theYear Book series and the Global Environmental Outlookseries as the two main vehicles to address the sciencepolicyinterface. Over the past 15 years, the GEO reportsand their consultative and collaborative processes, haveworked to bridge the gap between science and policy byturning available scientific knowledge into informationrelevant for decision makers. GEO uses the DPSIRframework to identify and evaluate the complex andmultidimensional cause-and-effect relationships betweensociety and the environment. The upcoming GEO-6,expected to be launched in mid-2017, will build uponregional assessment processes and create a comprehensivepicture of the environmental factors contributing to humanwell-being, accompanied by an analysis of policies leadingto greater attainment of global environmental objectivesand goals.Eleven years ago UNEP published the first edition of theUNEP Year Book series alerting the world to thedevelopment of dead zones in coastal waters resulting fromexcess nitrogen seeping into the water. In the interveningperiod many more emerging issues have been identified.The eleventh edition of the UNEP Year Book looks at tenissues flagged as emerging by previous reports over thepast decade, including plastic waste in the ocean, theenvironmental impacts of excess nitrogen and marineaquaculture, air pollution’s deadly toll, and the potential ofcitizen science.
The Committee on the Peaceful Uses of Outer Space, theprimary United Nations body dealing with space, haspromoted the use of space-based data for development(for example, remote sensing data can provide informationneeded to monitor trends and changes in, as well as toformulate relevant public policies related to: climatechange, sea level, ozone layer, glacier coverage, globalhealth, impact of human activities on the environment,agriculture and food security, deforestation, droughts andfloods, etc.). The Committee has pointed to the need forestablishing sustainable national spatial data infrastructure;enhancing autonomous national capabilities in the area ofspace-derived geospatial data; engaging in or expandinginternational cooperation in the area of space-derivedgeospatial data and increasing awareness of existinginitiatives and data sources; and supporting the UnitedNations in its efforts to access and use geospatialinformation in its mandated programmes.As a specialized agency of the United Nations, IMO is theglobal standard-setting authority for the safety, securityand environmental performance of international shipping.For parts of its scientific needs, IMO relies on the JointGroup of Experts on the Scientific Aspects of MarineEnvironmental Protection (GESAMP), an advisory bodyestablished in 1969 that advises the UN system on thescientific aspects of marine environmental protection.GESAMP is jointly sponsored by nine UN organizations withresponsibilities relating to the marine environment (IAEA,IMO, FAO, UN, UNDP, UNESCO-IOC, UNEP, UNIDO, WMO),and they utilize GESAMP as a mechanism for coordinationand collaboration among them. Through a well-establishedsystem of internal and external peer review, GESAMPensures scientific credibility, transparency andindependence of the advice it gives to the sponsoringorganizations.The Secretary-General’s Scientific Advisory Board, createdby the UN Secretary-General in September 2013 andconvened by the Director-General of UNESCO, is an ad hocgroup of 26 eminent scientists representing all regions andmany scientific disciplines. The central function of theBoard is to provide advice on science, technology andinnovations (STI) for sustainable development to the UNSecretary-General and to executive heads of UNorganizations.Source: UNEP, UNESCO, IMO, OOSA, UNDP contributions tothe GSDR 2015.Criteria for effectiveness of SPI mechanismsCommonly accepted criteria for assessing the effectiveness,influence and impact of science-policy interfaces arecredibility, relevance and legitimacy. 22 Other criteriamentioned in the literature have included accessibility (ofscientific findings) and iteration and evolution over time: 23The literature on SPI also provides numerous analyses of“factors of success” for SPI and suggestions on how tostrengthen the science-policy interface. 24Box 1-4. Credibility, relevance and legitimacy: criticaldeterminants of the effectiveness of SPICredibility: refers to the perceived quality, validity andscientific adequacy of the information generated by the SPIsuch as the perceived scientific and technical soundness ofan assessment. Credibility can be linked, for example, tothe respect of the scientific method (hypotheses that areoriginal and, where appropriate, predictive and testable;experiments repeated by colleagues in order to verify theresults; presentation of uncertainties in results and inpredictions presented; publication of results through aquality control mechanism such as a rigorous peer-reviewprocess).Relevance (or salience): refers to the alignment of anassessment to the needs and priorities of decision-makers(e.g. its results need to be applicable and practical fordecision-makers to make informed decisions). It is alsolinked to the perception of the usefulness of theknowledge, and how closely it relates to the needs of policyand society (e.g. do the assessment and its findings addressthe particular concerns of a user?). For example, anassessment can be considered relevant if users are awareof it and if it informs policy, behavioral change or otherdecisions.Legitimacy: reflects the perception that the assessment orthe production of information has been respectful ofstakeholders’ divergent values and beliefs, has beenunbiased, and fair in its treatment of opposing views andinterests. Issues of lack of legitimacy can arise, for instance,when one group questions the product or process of anassessment because it feels that its input was notconsidered, or when it is believed that data sources ormodeling approaches used were dominated by expertsfrom select backgrounds, disciplines or origin.Source: Authors’ elaboration, based on Cash et al. (2003);Young et al., (2013); Scientific Advisory Board of theSecretary-General of the United Nations (2014b); UNEP(2009b)29
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GabonNamibiaNigerSenegalRep CongoC
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There are many well established met
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issues” in respective areas of ex
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Notes1 United Nations, Prototype Gl
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51 Contributions sent by national l
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112 The 72 models are: AIM, ASF, AS
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201 For more information, please vi
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276 A. R. Subbiah, Lolita Bildan, a
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354 Information available at: http:
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African Economic Outlook, Structura
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512 Report Of The International Min
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595 Jessica N. Reimer et.al, Health
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671 Pulselabkampala.ug, 'UNFPA Ugan
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732 Climate Change timeline: (a) Sc
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790 Oxfam. ICT in humanitarian prac
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863 T. Dinku. New approaches to imp