Effects of Climate Change on Education

This infographic explores the intricate relationship between climate change and education, emphasizing the challenges posed by environmental shifts like rising sea levels and temperatures on educational access and quality globally. It highlights the primary and secondary impacts of climate events on education, including infrastructure damage, food and water crises, and climate-related illnesses, which collectively undermine educational attainment and quality. Additionally, the paper addresses the socioeconomic repercussions of climate change, such as loss of livelihood and forced migration, further exacerbating educational disruptions. Through data and case studies, the document underscores the urgency of integrating climate resilience into educational planning to safeguard and enhance learning opportunities in the face of escalating climate threats.
Impact of Climate Change on Agricultural Productivity

Impact of Climate Change on Agricultural Productivity infographic explores how global climate trends, such as rising temperatures and changing precipitation patterns, are impacting agricultural productivity. It discusses the increased risk of food security, especially in vulnerable regions, due to the projected rise in global temperatures and the frequency of extreme weather events like droughts, floods, and storms. The report also highlights the significant losses in agricultural production in least developed and middle-income countries, and the vulnerability of staple crops and livestock to climate change.
Evaluation of the Bureau for Resilience and Food Security’s Role in Global Leadership

This Evaluation Report was produced for the United States Agency for International Development (USAID). It was prepared independently by Cynthia Clapp-Wincek (evaluation team leader), Nicola Giordano, John Akwetey, Peter Simpson, Micah Frumkin, and the Institute for Development Impact for the USAID Monitoring, Evaluation, and Training Services Activity. The contents are the sole responsibility of the […]
Sustainability in Focus: COP28 Expectations Amid Global Climate Realities
Empowering Decisions With Data: How Data Analysis Drives Esg Compliance And Sustainable Business Practices

In today’s competitive business landscape, evidence-based decision-making is vital for the success and longevity of organizations. It allows companies to identify potential risks and opportunities, allocate resources efficiently, and adapt to changing market conditions. Compliance with environmental, social, and governance (ESG) regulations and industry standards is crucial for mitigating legal and financial risks, and maintaining a loyal and growing customer base. Data analysis plays an essential role in informing business decision-making and ensuring adherence to these regulations and standards, which in turn impacts long-term business performance.
This article, written for the Small Business Association for International Companies (SBAIC) discusses the importance of harnessing data analysis for ESG compliance and sustainable business practices, developing learning agendas for effective ESG compliance management, and provides five illustrative learning questions that can be used to guide ESG and sustainable performance data analysis.
USAID/RFS Activity MEL Plan Webinar

Logic models serve as a potent visual representation of a Theory of Change (ToC), encompassing various forms such as Results Frameworks, results chains, and Logical Frameworks. While not a stringent requirement by USAID at the activity level, the integration of a ToC and logic model in an Activity Monitoring and Evaluation Plan (AMELP) is fervently recommended. This guidance note, part of the RFS Good Practice MEL Notes series, elucidates the alignment of these models with the stated objectives of an activity, set within a particular context. It accentuates the coherence between components of the Activity MEL Plan and the ToC, fostering a comprehensive understanding of development paradigms.
Selecting Performance Indicators – An RFS Good Practice MEL Note

Performance indicators are pivotal for the successful implementation, adaptive management, and optimization of development programs. This guidance note, a part of the RFS Good Practice MEL Notes series, underscores the significance of these indicators in line with USAID’s requirements for Activity MEL Plans. It emphasizes the inclusion of at least one performance indicator for each outcome in an activity’s logic model. Special attention is given to gender equality and female empowerment indicators. This document serves as a beacon for understanding the diverse types of indicators and their integration into the developmental framework.
USAID/RFS Good Practice MEL Notes – Disaggregating Monitoring Indicators

Performance indicators play a critical role in monitoring activity performance and
understanding its results. Disaggregating data – or separating it into subgroups – allows
users to understand nuances or trends within the data. This USAID/RFS Good Practice MEL Note provides USAID staff and partners with specific guidance on Agency required disaggregations such as sex dissagregations, as well as good practices and helpful tips to consider when determining which disaggregates to use and how to apply them.
USAID/RFS Good Practice MEL Notes – Performance Indicator Baselines

USAID policy requires baseline data for each of their performance monitoring indicators, but USAID staff and partners often struggle to determine the most appropriate baseline and the best mechanism to establish that baseline. This USAID/RFS Good Practice MEL Note provides USAID staff and partners with specific guidance on what good baselines look like and how to establish them. It walks the user through several common baseline setting scenarios, including examples from RFS-funded activities, as well as helpful tips for establishing performance indicator baselines.
Country Programme Evaluation (2016-2020) – UNICEF Serbia

Download Publication – Serbian
Guidance for Building a Balanced D-MERL System in a Post Response Recovery
The Balanced Design, Monitoring, Evaluation, Research, and Learning (BalanceD-MERL) Maturity Matrix