• Academic / Journal Article

Philanthropy and Social Impact: A NPF Mini-Symposium

  • Source : Nonprofit Policy Forum (De Gruyter)
  • May 2026
Ferris and Graddy introduce a symposium that examines contemporary approaches to philanthropic effectiveness. They frame discussions around instrumental philanthropy, social impact bonds, and engagement with public policy, focusing on how philanthropic strategies are evolving to achieve measurable societal outcomes. The article emphasizes the growing adoption of collaborative and data-driven practices within the philanthropic sector to enhance impact.
  • Book

Philanthropy and Society

  • Source : Routledge
  • May 2026
Maurrasse examines how philanthropic institutions contribute to societal betterment through strategic partnerships, fostering inclusion, and aiming for intentional impact. He identifies two core trends: the rise of data-informed, strategic giving and a growing emphasis on equity and inclusion. Through diverse global case studies, the book articulates effective tactics for fostering mutuality between funders and communities, demonstrating how philanthropy can be responsibly leveraged to address complex systemic challenges and promote social good.
  • Case Study

Peace and Security Funding Index: An Analysis of Global Foundation Grantmaking – 2020 Edition

  • Source : Candid Lab
This Index provides a comprehensive analysis of global foundation grantmaking specifically targeting peace and security initiatives. It quantifies funding levels, details geographic distribution, identifies thematic priorities, and profiles key funders. The 2020 edition offers updated data and crucial insights, revealing existing funding gaps and emerging trends in philanthropy's essential role in conflict prevention and peacebuilding efforts worldwide. The report serves as a vital resource for funders and practitioners in the field.
  • Academic / Journal Article

Role of Big Data Analytics in Power System Application

  • Source : LatentView Analytics
This academic paper investigates the significant role of big data analytics in various power system applications. It explores how the increasing volume, velocity, and variety of data from smart grids, sensors, and other sources can be leveraged to enhance power system operations, efficiency, and reliability. The paper likely covers applications such as fault detection, predictive maintenance, load forecasting, and optimized energy management, demonstrating how big data analytics is transforming traditional power systems into more intelligent and resilient infrastructures.
  • Book

Leveraging Data Science for Global Health

  • Source : SpringerLink
  • May 2026
This book explores the transformative potential of data science in addressing complex global health challenges. It covers various applications, from disease surveillance and outbreak prediction to optimizing healthcare resource allocation and personalized medicine. The text highlights how data-driven approaches can lead to more effective interventions, improve health outcomes worldwide, and contribute to achieving global health equity. It serves as a comprehensive resource for understanding the intersection of data science and global health initiatives.
  • Case Study

Using Blended Finance to Access Commercial Finance

  • Source : World Bank
  • December 2020
This World Bank report outlines how blended finance can be effectively utilized to attract and access commercial finance for development projects. It details various structuring approaches that combine public or philanthropic funds with private capital to de-risk investments and enhance financial viability. The paper provides practical insights into how these financing models can bridge funding gaps, encouraging private sector participation in high-impact initiatives.
  • Paper / Report

Needs Assessment on Resources for Use of Routine and Other Secondary Data for Health Evaluation and Research

  • Source : Data for Impact Project
  • December 2020
This article examines the use of routine and secondary health data, identifying key challenges and training needs that impact the effectiveness of data management in health programs. It highlights the increasing demand for capacity building in health data management, particularly in areas related to data governance, quality assurance, and analysis. The article stresses the importance of building the skills of health practitioners to ensure that routine data can be used effectively for program evaluation, policymaking, and continuous improvement. It offers practical recommendations for addressing the training gaps and challenges faced by health organizations in managing their data systems.
  • Blog

Diversity in Data Science: A Systemic Inequality

  • Source : Towards Data Science
  • December 2020
This blog post examines the systemic inequalities prevalent in the field of data science, particularly concerning diversity in terms of race, gender, and ethnicity. It delves into the various factors contributing to the lack of representation, such as unconscious bias in hiring, limited access to education, and exclusionary workplace cultures. The article advocates for a critical examination of these systemic issues and proposes strategies to foster a more equitable and inclusive environment within the data science community, emphasizing its importance for ethical AI development.
  • Case Study

What is blended finance, and why it matters

  • Source : Bank of America
  • November 2020
This article from Bank of America defines blended finance as the strategic combination of public, philanthropic, and private capital to fund sustainable development initiatives. It explains why blended finance is crucial for addressing the significant funding gap to achieve the Sustainable Development Goals (SDGs), especially in emerging markets. The piece highlights how this approach leverages limited public funds to attract larger volumes of private investment, benefiting both investors and communities.
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