IBSS-Ex: An Interdisciplinary Approach to Understanding the Effectiveness of Aid-Funded Programs: Spatial Analysis of Developmental Outcomes

该项目将审查旨在改善人民基本需求的发展援助项目在各地的效力差异。 调查人员将考虑各国政府和国际组织努力的影响，自1950年以来，这些组织在世界各地分发了超过6万亿美元的非军事发展援助，其中包括自2000年以来的2万亿美元。 这一探索性研究项目将为决策者、捐助者、从业人员和学者提供新的工具，可用于评估和提高援助的效力和效率。 该项目产生的方法、数据和资源将以以前难以进行的方式进行评价。 项目调查结果和产品将使分析人员能够更有效地评估特定项目成功或失败的程度，并更准确地确定促成或阻碍项目成功的当地因素。 项目调查结果还将为捐助者提供更好的信息，帮助他们更有效地确定援助项目的目标和管理援助项目，以实现他们的预期目标。调查人员将收集和分析有关援助项目有效性的地方（国家以下各级）数据以及相关的背景因素。 该项目将得到以下方面的推动：越来越多地提供按地理编码的当地数据，这些数据涉及发展援助项目、发展政策、环境变化、暴力冲突、政治控制和发展成果，例如人类福祉的衡量标准。 研究人员将把这些数据整合到具有共同单位的可用数据集中，并开发工具，使其他科学家能够整合其他类型的数据。 这些用于创建新数据集的工具将缓解援助实效研究方面的现有瓶颈。 研究人员将利用所得数据集分析援助项目的意图和结果之间的关系，最初侧重于世界各国的四个结果：作为粮食安全指标的耕地覆盖率、种族间暴力水平、疫苗覆盖率和婴儿死亡率。 该项目通过NSF跨学科行为和社会科学研究（IBSS）竞赛获得支持。

This project will examine variation across localities in the effectiveness of development aid projects designed to improve provision of basic needs for people. The investigators will consider the impact of the efforts of national governments and international organizations, which have distributed more than $6 trillion in non-military development aid around the world since 1950, including more than $2 trillion since 2000. This exploratory research project will provide policymakers, donors, practitioners, and scholar with new tools that can be used to evaluate and improve the effectiveness and efficiency of aid. The methods, data, and resources emerging from this project will target evaluation in a manner that previously has been difficult to undertake. Project findings and products will enable analysts to more effectively assess the extent to which a particular project has succeeded or failed as well as to more precisely identify local factors that enabled or hindered the program's success. Project findings also will give donors improved information regarding how to target and administer aid programs more effectively in order to achieve their desired goals.The investigators will collect and analyze local (subnational) data on the effectiveness of aid projects as well as pertinent contextual factors. The project will be facilitated by the increasing availability of geographically coded, local data dealing with development aid projects, development policies, environmental change, violent conflict, political control, and development outcomes, such as measures of human well-being. The investigators will integrate these data into useable datasets with common units, and they will develop tools that will enable other scientists to integrate other kinds of data. These tools for creating new datasets will relieve existing bottlenecks in research on the effectiveness of aid. Using the resulting datasets, the investigators will analyze relationships between intentions and outcomes of aid projects, focusing initially on four outcomes in countries around the world: cropland coverage as an indication of food security, levels of inter-ethnic violence, vaccine coverage, and infant mortality. This project is supported through the NSF Interdisciplinary Behavioral and Social Sciences Research (IBSS) competition.