The New Education Philanthropy: Politics, Policy and Reform

This book explores the evolving landscape of education philanthropy, focusing on the interplay of politics, policy, and reform efforts. It examines how new philanthropic initiatives are influencing educational systems, curriculum development, and school reform strategies. The authors analyze the motivations, approaches, and impacts of these philanthropic interventions, often highlighting tensions between private funding and public education goals. The book provides a critical perspective on the opportunities and challenges presented by the increasing role of private philanthropy in shaping educational policy and outcomes.

FinMin may favour CSR monies to flow into Social Impact Bonds

This article from Hindu Business Line reports on the potential inclination of India’s Finance Ministry to allow Corporate Social Responsibility (CSR) funds to be directed towards Social Impact Bonds (SIBs). The move could significantly boost funding for social development projects by leveraging private sector contributions. It discusses the implications of such a policy for governance and the broader landscape of development impact bonds in India, highlighting how this synergy could enhance social outcomes and financial innovation.

Development Impact Bonds support quality education in India

This case study from the Michael and Susan Dell Foundation highlights how Development Impact Bonds (DIBs) are being utilized to support quality education initiatives in India. It showcases how these innovative financing tools incentivize outcome-driven results, aligning private investment with sustainable development goals in the education sector. The study illustrates the DIB mechanism’s potential to improve learning outcomes and increase access to quality education for underserved populations by focusing on measurable impact.

Blended finance in the SDG Era

This document summarizes key discussions from a UN Department of Economic and Social Affairs (UNDESA) workshop focused on blended finance in the era of the SDGs. It captures shared challenges and opportunities identified by participants from governments, the UN system, civil society, and the private sector. The report outlines common issues, including the critical need for better impact measurement tools, effective risk management strategies, and enhanced institutional capacity. It concludes with recommended actions to better integrate and mainstream blended finance approaches into national SDG strategies.

Blended Finance in the Private Sector Context

This primer provides a foundational overview of blended finance within the context of private sector development, framing it as a redefinition of public-private cooperation. It outlines the roles of different stakeholders, key financial instruments, and the ecosystem drivers necessary for success. The paper emphasizes the enabling conditions required to scale blended approaches, including effective policy coordination, innovative risk absorption mechanisms, and standardized measurement frameworks. It serves as a guide for public and private actors on collaborating effectively to channel capital towards inclusive and sustainable growth.

Better Finance Better World

This flagship report from the Blended Finance Taskforce presents a strategic roadmap for mobilizing private capital at scale to achieve the Sustainable Development Goals (SDGs). It argues for a fundamental shift in the financial system, advocating for the strategic use of concessional development finance to de-risk and attract commercial investment into impactful projects. The report outlines actionable recommendations for creating enabling policy environments, developing pipelines of bankable projects, and establishing robust governance frameworks. It emphasizes the necessity of collaboration between public, private, and philanthropic actors to bridge the global financing gap.

Data Preparation, Enrichment, and Performance

This guide from Yellowfin outlines best practices for ensuring high-quality data in business intelligence (BI) systems, focusing on the entire data preparation pipeline. The article explains the steps involved in collecting, cleansing, transforming, and enriching raw data to make it suitable for analysis. It stresses the importance of data governance, clear documentation, and streamlined workflows in optimizing BI outcomes. The guide also provides strategies for improving the performance and accuracy of BI systems, ensuring that organizations can derive actionable insights from their data.

Data Quality Review

This article proposes an integrated approach to data quality review, combining verification and feedback mechanisms. It is particularly useful for health programs and routine data systems, ensuring that the data collected is accurate and reliable for program planning and evaluation. The article emphasizes the importance of ongoing data quality assessments and continuous improvements, which are essential for maintaining high-quality data throughout its lifecycle. By integrating verification and feedback processes, organizations can address data quality issues promptly, ensuring that the data used in decision-making is of the highest quality and supports effective program outcomes.

Recommended Practices for Data Management and Quality

This article outlines recommended practices for data management and quality, focusing on governance, validation, and continuous improvement. It emphasizes the importance of implementing robust data governance structures that ensure data integrity, accuracy, and accessibility. The article explores strategies for validating data at various stages of its lifecycle and suggests continuous improvement practices that help organizations maintain high data standards over time. By adhering to these recommended practices, organizations can ensure that their data management systems support effective decision-making and lead to better outcomes across sectors such as healthcare, development, and public policy.

HOW WILL WATER MANAGEMENT LOOK IN 2030 USING DATA ANALYTICS?

This article forecasts the future of water management in 2030, emphasizing the transformative role of data analytics. It predicts a shift towards highly intelligent, interconnected systems that leverage real-time data from sensors and IoT devices for proactive monitoring of water quality, leakage detection, and consumption patterns. Data analytics will enable predictive maintenance for infrastructure, optimize water distribution, and support smart irrigation practices, reducing waste and ensuring sustainable supply. The vision includes AI-powered decision-making tools that enhance resilience against climate change impacts and facilitate equitable water resource allocation globally.
We use essential and analytics cookies to operate this website and understand how visitors interact with it. As this site also functions as a login identity provider (IDP) for other ISDM portals, some cookies are necessary to enable secure authentication. By continuing to use this site, you consent to our use of cookies.