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Science for Impact : Better Evidence for Better Decisions – The Dime Experience (English)

The Development Impact Evaluation (DIME) Group generates high-quality and operationally relevant data and research to transform development policy, help reduce extreme poverty, and secure shared prosperity. DIME partnered with the United Kingdom in 2013 to create a multidonor trust fund for impact evaluation and take DIME's model to scale. The fund is now cofinanced by the European Union (EU) and the Norwegian Agency for Development Co-operation (Norad). Funding for a programmatic approach focuses on three pillars: data & measurement; experimenting and learning; and policy influence. This report outlines program achievements from FY2013-19 and describes future plans for program implementation.

Details

  • Author

    Legovini,Arianna, Adjognon,Guigonan Serge, Bedoya Arguelles,Guadalupe, Bougna Lonla,Theophile, Campbell,Kayleigh Bierman, Christian,Paul J., Coville,Aidan, Croke,Kevin, Daniels,Benjamin B., Di Maro,Vincenzo, Duhaut,Alice, Fernandez,Chloe Monica, Holmlund,Marcus Erik, Jones,Maria Ruth, Karpe,Saahil Ninad, Khan,Nausheen, Kondylis,Florence, Milusheva,Svetoslava Petkova, Mvukiyehe,Eric, Orozco Olvera,Victor Hugo, Piza,Caio, Reichert,Arndt Rudiger, Rizvanolli,Besa, Rogger,Daniel Oliver, Roscitt,Michael Anthony, Siddiqi,Bilal Murtaza, Zwager,Astrid Maria Theresia

  • Document Date

    2019/01/01

  • Document Type

    Annual Report

  • Report Number

    134802

  • Volume No

    1

  • Total Volume(s)

    1

  • Country

    World,

  • Region

    The World Region,

  • Disclosure Date

    2019/02/21

  • Disclosure Status

    Disclosed

  • Doc Name

    Science for Impact : Better Evidence for Better Decisions – The Dime Experience

  • Keywords

    Fragile and Conflict-Affected Situations; State and Peace Building Fund; Norwegian Agency for Development; Payments for Ecosystem Services; financial and private sector development; Fragility, Conflict, and Violence; urban crime and violence; data collection and analysis; competitive call for proposal; conflict and violence; Energy & Environment; multilateral development bank; randomized controlled trials; Identification for Development; risk and vulnerability; impact of development; return to investment; bilateral development agencies; community of practice; data collection process; level of policy; data collection protocols; world food programme; factor of production; local government agency; alternative delivery mechanism; expressions of interest; learning by doing; remote sensing techniques; bus rapid transit; economies of scale; Governance and Accountability; global public good; areas of work; Public Goods; thematic area; research agenda; policy relevance; Programmatic Approach; technical committee; evaluation model; development policy; results framework; knowledge gap; data system; existing knowledge; policy formulation; Client Engagement; gender analysis; summer school; Advisory services; evaluation research; policy outcome; operational decisions; seed funding; evidence-based policy; Social Protection; evaluation process; extreme poverty; poor household; big data; machine learning; development partner; technical expert; multilateral agency; operational knowledge; implicit knowledge; strategic approach; partner institution; knowledge diffusion; academic institution; global fund; resource constraint; global effort; poverty trap; important policy; external partner; operational objectives; data policy; initial investment; local capacity; institutional context; measurement system; multiple donor; operational staff; systems approach; interior design; evaluation method; private incentives; Technology Transfer; policy target; data needs; course design; cause-effect relationship; management leadership; global portfolio; survey results; statistical package; learning need; recording system; cultural change; conservation technology; social activities; non-governmental organization; descriptive statistic; adaptive approach; road safety; communication strategy; islamic development; policy problems; test result; program effectiveness; geographic area; database management; fragile states; actionable knowledge; evaluation design; noncommercial purposes; financial contribution; global standard; Global Programs; energy agenda; international partners; administrative information; knowledge generation; research community; responsive policy; operational work; scientific method; digital development; social reintegration; finance program; governance program; informed consumer; investment fund; Financing programmes; operational aspect; research design; increased returns; research budget; internal review; research development; operational planning; real time; internal policies; public use; portfolio implementation; selection criterion; external review; bottom-up approach; global policy; academic research; improved livelihood; subsidiary right

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Citation

Legovini,Arianna Adjognon,Guigonan Serge Bedoya Arguelles,Guadalupe Bougna Lonla,Theophile Campbell,Kayleigh Bierman Christian,Paul J. Coville,Aidan Croke,Kevin Daniels,Benjamin B. Di Maro,Vincenzo Duhaut,Alice Fernandez,Chloe Monica Holmlund,Marcus Erik Jones,Maria Ruth Karpe,Saahil Ninad Khan,Nausheen Kondylis,Florence Milusheva,Svetoslava Petkova Mvukiyehe,Eric Orozco Olvera,Victor Hugo Piza,Caio Reichert,Arndt Rudiger Rizvanolli,Besa Rogger,Daniel Oliver Roscitt,Michael Anthony Siddiqi,Bilal Murtaza Zwager,Astrid Maria Theresia

Science for Impact : Better Evidence for Better Decisions – The Dime Experience (English). Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/942491550779087507/Science-for-Impact-Better-Evidence-for-Better-Decisions-The-Dime-Experience