Financing for Sustainable Development Report 2021

This United Nations report assesses progress and challenges in financing for sustainable development in 2021. It highlights the significant setbacks caused by the COVID-19 pandemic, which exacerbated existing inequalities and financing gaps for achieving the Sustainable Development Goals (SDGs). The report emphasizes the urgent need for strengthened international cooperation, increased resource mobilisation, and transformative policies to build back better and accelerate progress towards the 2030 Agenda. It discusses various financing modalities, including public and private finance, and calls for a more coherent and integrated approach to ensure sustainable and inclusive development globally.

The Role of Government, Nonprofit, and Private Facilitation of the Impact Investing Marketplace

This article explores the multifaceted roles of government, nonprofit organizations, and private entities in facilitating the burgeoning impact investing marketplace. It examines how each sector contributes to the growth and effectiveness of impact investing, whether through policy frameworks, capacity building, intermediation, or direct investment. The paper highlights the collaborative ecosystem necessary for directing capital towards social good and addressing complex societal challenges through innovative finance.

Nemours Children’s Health System – the Data Literacy Project

This case study details the efforts of Nemours Children’s Health System to build data literacy across its healthcare workforce. Through the Data Literacy Project, Nemours implemented tailored training and a supportive culture to help staff understand, interpret, and apply data effectively. The initiative led to improved decision-making, operational efficiency, and patient care. By prioritizing data skills, Nemours demonstrated how equipping healthcare professionals with analytical capabilities enhances outcomes and embeds a culture of evidence-based practice in health systems, ultimately contributing to more effective and responsive service delivery.

Data Analytics in Mental Healthcare

This article examines the integration of data analytics into mental healthcare, focusing on how predictive models and big data approaches can enhance diagnostic accuracy, personalise treatment, and improve patient monitoring. The paper outlines the challenges of data privacy and heterogeneity in mental health records. It highlights the benefits of real-time analysis and automated screening in delivering timely interventions. By advancing data capabilities, the healthcare system can better respond to individual needs and population-level mental health trends.

Introducing Data Science for Social Impact

This blog post by Dr. Rajiv J. Shah explores the transformative potential of data science in addressing social issues. It emphasizes the importance of leveraging data to make informed, impactful decisions in the development and philanthropic sectors. The author calls for greater interdisciplinary collaboration and investment in data infrastructure to strengthen evidence-based policymaking. By integrating advanced analytics into social initiatives, the post outlines a vision for data science as a powerful tool for innovation, equity, and scalable impact in tackling global development challenges.

Who Has a Seat at the Table in Impact Investing? Addressing Inequality by Giving Voice

This article theorizes how the design of the impact investing field, through its tools and organizations, influences its capacity to address inequality by focusing on “giving voice”—the inclusive participation of vulnerable stakeholders in decision-making. Building on stakeholder engagement research, it uses illustrative cases like social impact bonds and impact investing funds to demonstrate how field design can promote equality. The paper concludes that the ethical decision to empower vulnerable stakeholders will determine the field’s ability to tackle inequality.

Data Analytics in the Electricity Sector

This report discusses how data analytics is reshaping the electricity sector. It explores key drivers for adoption such as decarbonisation, digitalisation, and decentralisation, and highlights the role of advanced data tools in enhancing operational efficiency, reliability, and strategic decision-making. The paper also presents insights into emerging technologies and case studies that showcase real-world applications. It serves as a comprehensive resource for understanding current trends, challenges, and opportunities in applying analytics across the electricity value chain.

Why Blended Finance Risks Being Bad for Sdgs

This article critically examines why blended finance, despite its potential, might hinder the achievement of Sustainable Development Goals (SDGs). It discusses concerns from market participants about the complexity, slow pace, and lack of transparency in blended finance deals, particularly when involving Multilateral Development Banks (MDBs). The piece highlights issues such as insufficient scale and quality of deals, and the risk of exacerbating inequality in emerging markets, suggesting a need for greater efficiency and transparency.

How Edindia Foundation Uses AWS to Upskill Teachers and Increase Student Success

This blog explains how EdIndia Foundation partnered with AWS to improve teacher training and educational outcomes through technology. The collaboration leveraged scalable cloud infrastructure, big data, and machine learning to develop adaptive learning tools and dashboards that assess performance and track progress. These tools enabled evidence-based educational strategies, personalisation, and efficient resource allocation. By integrating digital platforms with classroom practice, the initiative bridges traditional teaching with modern innovation and contributes to improved student success across the Indian education system.

Data and Analytics Key to Ensuring Water Quality

This article highlights how data analytics is revolutionising water quality management. It outlines the deployment of real-time sensors, cloud platforms, and AI to monitor water systems, detect anomalies, and optimise resource allocation. The piece features examples from public utilities leveraging predictive analytics to maintain compliance, reduce operational costs, and ensure safe drinking water. It underscores the importance of data-driven decisions in protecting public health and environmental resources.
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