Comprehensive evaluation framework building for integrated development program

IF 1 4区计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Performance Evaluation Pub Date : 2023-07-01 DOI:10.1177/13563890231183990

Jae Eun Shin, Mi Joung Yu, Suk-won Lee

引用次数: 0

Abstract

The integrated development program, a cross-sectional development approach targeting a specific region or village, is receiving increasing attention as the 2030 agenda emphasizes a holistic approach in solving the poverty problem. The conventional evaluation designed for a causal inference of project-level outcome is incapable of reflecting the characteristics of the integrated development program. In this regard, we analyzed the unique features of the integrated development program by applying policy design theory to identify the challenges of evaluating this type of program. We then derived the logic of causal inference from the generative causation approach to resolve these challenges and developed practical evaluation tools, including causal maps and the evaluation matrix. These tools can be applied to respond to the evaluation questions related to the characteristics of the integrated development program, such as chain of causality, interactions between the outcomes, and many-to-many correspondence between aid-providers and recipients.

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综合发展规划综合评价框架构建

随着2030年可持续发展议程强调以整体方法解决贫困问题，以特定地区或村庄为目标的横向发展方法——综合发展计划正受到越来越多的关注。为项目级结果的因果推理而设计的传统评估无法反映综合开发计划的特征。在这方面，我们通过运用政策设计理论来分析综合发展计划的独特性，以确定评估这类计划的挑战。然后，我们从生成因果关系方法中推导出因果推理的逻辑，以解决这些挑战，并开发出实用的评估工具，包括因果图和评估矩阵。这些工具可用于回答与综合发展项目特征相关的评估问题，如因果链、结果之间的相互作用以及援助国和受援国之间的多对多对应关系。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Performance Evaluation 工程技术-计算机：理论方法

CiteScore

3.10

自引率

0.00%

发文量

审稿时长

24 days

期刊介绍： Performance Evaluation functions as a leading journal in the area of modeling, measurement, and evaluation of performance aspects of computing and communication systems. As such, it aims to present a balanced and complete view of the entire Performance Evaluation profession. Hence, the journal is interested in papers that focus on one or more of the following dimensions: -Define new performance evaluation tools, including measurement and monitoring tools as well as modeling and analytic techniques -Provide new insights into the performance of computing and communication systems -Introduce new application areas where performance evaluation tools can play an important role and creative new uses for performance evaluation tools. More specifically, common application areas of interest include the performance of: -Resource allocation and control methods and algorithms (e.g. routing and flow control in networks, bandwidth allocation, processor scheduling, memory management) -System architecture, design and implementation -Cognitive radio -VANETs -Social networks and media -Energy efficient ICT -Energy harvesting -Data centers -Data centric networks -System reliability -System tuning and capacity planning -Wireless and sensor networks -Autonomic and self-organizing systems -Embedded systems -Network science