G2TT
来源类型Project
规范类型研究项目
International Conservation and Agriculture Strategy Evaluation Design and Learning
Matt Sloan
开始日期2017
结束日期2017
资助机构The David and Lucile Packard Foundation
语种英语
概述In 2016, the David and Lucile Packard Foundation established a strategy in the area of Agriculture, Livelihoods, and Conservation (ALC). As the foundation’s ALC learning partner, Mathematica helped to develop and operationalize a monitoring, evaluation, and learning plan to shape the strategy. ",
摘要

The ALC team started making grants and other mission-related investments in 2017, focusing on large-scale impact in Ethiopia and Indonesia and exploratory grant-making in the Democratic Republic of the Congo. The strategy is a place-based approach—closely aligned with existing foundation programs focused on these geographic areas—led by the Conservation and Science team and the Population and Reproductive Health team. The ALC strategy employs adaptive learning, a process in which decisions about strategies and refinement are based on lessons gleaned from experimentation and reflection, to identify where the foundation is likely to have the greatest impact, to generate potential synergies between investments in different countries, and to harness emerging opportunities.

Mathematica was the Foundation’s ALC learning partner during 2017, helping to develop and operationalize a monitoring, evaluation, and learning (MEL) plan to shape the ALC strategy. An MEL plan is a learning tool that helps program funders and implementers track progress toward strategic goals and use monitoring and evaluation data for decision making and learning. In 2017, Mathematica also helped the ALC team convene its advisory council and develop a theory of change.

URLhttps://www.mathematica.org/our-publications-and-findings/projects/international-conservation-and-agriculture-strategy-evaluation-design-and-learning-partner
来源智库Mathematica Policy Research (United States)
资源类型智库项目
条目标识符http://119.78.100.153/handle/2XGU8XDN/491144
推荐引用方式
GB/T 7714
Matt Sloan. International Conservation and Agriculture Strategy Evaluation Design and Learning. 2017.
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