This document provides a comprehensive overview of ADA’s support for the development of the Cambodian microfinance sector from 2008 to 2022, including key results, lessons learnt and impact.

This paper provides an overview of 10 opportunities for service providers, investors, and donors to improve rural women’s resilience to climate change, and gives examples of innovative ways in which financial and agricultural service providers are already seizing these opportunities.

This playbook offers a step-by-step guide for financial ecosystem stakeholders on how to boost the systematic collection of high-quality, supply-side, sex-disaggregated financial data to drive women’s financial inclusion.

AI has the potential to transform social finance, but it also presents a number of challenges related to data privacy and security, bias and fairness, transparency and explainability, technical complexity and employment. 

This study delves into women's experiences as users of online lending platforms in Indonesia using a gender lens to examine the risks in online lending platforms unique to women.

This study shares findings from three pilots, in collaboration with six partners, conducted as part of the action research agenda to experiment with product diversification, capacity building, and customer empowerment.

This report identifies several emerging risks related to open finance, and proposes ways in which these risks can be measured, monitored, and mitigated against by leveraging the data available in open finance ecosystems.

This report provides emerging insights on the role of mobile and digital technology in accessing and delivering climate finance in low- and middle-income countries.

The paper discusses fairness in artificial intelligence (AI)-enabled credit-scoring systems, and highlights the importance of considering the strategic role of the organization when developing and evaluating fair algorithm-enabled decision systems. 

This reading deck puts a spotlight on the specific data trails generated by digitally included yet poor people, the sources of these data trails, and variations of data trails across different segmentations.