• Paper / Report

New Bridgespan Group Report Sheds Light on Potential of "Impact-First" Impact Investing to Catalyze Social Change

  • Source : Bridgespan
  • May 2026
This report announces Bridgespan’s new publication exploring "impact-first" impact investing models, which prioritize social returns before financial ones. It presents comprehensive data on social impact outcomes, analyzes capital flows, and provides compelling investor case examples. The report offers strategic insights for funders and nonprofits seeking to catalyze significant social change through the aligned deployment of capital, emphasizing how such investments can drive measurable and systemic improvements in communities.
  • Media Article

A Collaborative Effort to Solve India's Tribal Health Conundrum

  • Source : Bridgespan Insights
This article from Bridgespan Insights examines innovative strategies being deployed to address persistent health challenges among India's tribal communities. It highlights a range of targeted interventions, emphasizing the critical role of strong community partnerships in successful healthcare delivery. The authors detail measurable outcomes achieved through these collaborative efforts, illustrating effective approaches to improving tribal healthcare and fostering sustainable well-being in underserved regions.
  • Paper / Report

Automated Metadata Extraction: Challenges and Opportunities

  • Source : OSTI
  • May 2026
This article examines the challenges in automating metadata extraction and proposes solutions to improve accuracy and scalability. It suggests using modular extraction programs and multi-context metadata views to address common issues faced by organizations when handling large volumes of metadata. The article explores different techniques for enhancing the efficiency of metadata extraction processes, including the integration of AI and machine learning technologies. It aims to help organizations optimize their metadata management systems, ensuring that they can efficiently process, store, and retrieve valuable metadata for research, content management, and other data-driven applications.
  • Academic / Journal Article

Sustainable Agriculture through Data Analytics

  • Source : Measure Evaluation
  • May 2026
This academic paper explores the application of data analytics to promote sustainable agriculture practices. It delves into how data from sensors, drones, satellite imagery, and other sources can be analyzed to optimize crop yield, manage resources efficiently, reduce environmental impact, and enhance overall farm productivity. The paper likely discusses smart farming techniques, precision agriculture, and the role of data-driven insights in fostering environmentally friendly and economically viable agricultural systems for long-term sustainability.
  • Media Article

We cannot achieve water security without good data

  • Source : India Development Review (IDR)
  • December 2021
This article argues that achieving water security in India, particularly in smaller cities, is impossible without robust data. It highlights systemic issues like stalled projects, old infrastructure, and source overdependency that lead to uneven water services. The piece critiques current data collection, often self-reported by government departments with limited citizen feedback, leading to inaccurate performance assessments. It advocates for comprehensive, localized data on staffing, infrastructure, and energy use to guide funding, planning, and ensure accountability for more reliable and equitable water services.
  • Academic / Journal Article

Perspectives on Marine Data Science as a Blueprint for Emerging Data Science Disciplines

  • Source : Frontiers in Marine Science
  • December 2021
This article explores Marine Data Science as a foundational model for emerging data science disciplines. It highlights the unique challenges and opportunities in analyzing vast and complex marine datasets, ranging from oceanographic measurements to biodiversity informatics. The paper argues that the interdisciplinary nature and data management strategies employed in marine science can serve as a blueprint for other fields grappling with big data, offering insights into best practices and methodologies.
  • Blog

How can AI help achieve Clean water and Sanitation?

  • Source : Analytics Steps
  • December 2021
This article explores how Artificial Intelligence (AI) can significantly contribute to achieving clean water and sanitation goals. It discusses AI’s role in real-time water quality monitoring through smart sensors, enabling early detection of contaminants and pollution. The piece highlights AI’s application in leak detection and prevention in distribution systems, optimizing wastewater treatment processes, and improving infrastructure maintenance. Furthermore, AI can enhance flood prediction and management, and promote water conservation through optimized irrigation and usage patterns, leading to more efficient and sustainable water management practices.
  • Case Study

Social Investment Explained

  • Source : Social Finance Academy
  • November 2021
This guide explains social investment as the use of repayable finance to achieve social mission, distinguishing it from grants and donations. It covers the two main categories: debt (loans) and equity (shares), and provides seven key questions for organizations to consider before seeking social investment, such as financial needs, income streams for repayment, business model clarity, and social impact measurement. The resource aims to demystify social investment for social purpose organizations, including small charities.
  • Case Study

Assessment of the Feasibility of Impact Bonds in Kyrgyzstan

  • Source : UNDP
  • November 2021
This report explores the viability of introducing impact bonds in Kyrgyzstan as an innovative financing mechanism to help achieve the Sustainable Development Goals (SDGs). It provides a comprehensive assessment of the country’s legal, institutional, and market readiness for these complex financial instruments. The study analyzes potential sectors for pilot projects, such as education and health, while identifying significant challenges like limited investor appetite, a nascent private sector, and the necessity for robust data infrastructure. The report concludes with actionable recommendations for creating an enabling ecosystem and designing a successful pilot.
  • Blog

What role does data science play in the energy sector?

  • Source : Selerity
  • November 2021
This blog post explores the significant role of data science in the energy sector, driven by increasing energy demand. It highlights how data analytics optimizes electricity usage and explores alternative energy sources. Key applications include improving theft detection, enhancing smart grid security, balancing supply and demand, improving outage prediction, and refining customer experience. The article emphasizes how modern data science, leveraging real-time data and advanced analytics, is transforming the energy industry by providing valuable insights for efficient management and operational optimization.
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