• Paper / Report

Philanthropy and COVID-19 in 2020: Measuring One Year of Giving

  • Source : Candid Lab & Center for Disaster Philanthropy
  • 1 January 1970
This report quantifies over $20 billion in global philanthropic giving during 2020's pandemic. It evaluates funder responsiveness, trends in unrestricted support, and funding inequities, notably for communities of color. The authors advocate sustained funding and highlight gaps in long-term, trust-based grantmaking. The findings underscore the rapid mobilization of philanthropic resources in times of crisis while also pointing out persistent disparities and the need for more equitable and flexible funding models in the long run. It calls for greater attention to historically underserved groups.
  • Paper / Report

PHILANTHROPY IN THE ARAB WORLD

  • Source : American University in Cairo Publications
  • 1 January 1970
Woodcraft provides a comprehensive mapping of philanthropic actors across the Arab region, including waqf institutions, corporate foundations, and family philanthropies. The report discusses regulation, emerging trends in social impact, and how philanthropy addresses displacement, education, culture, and health challenges amid regional instability. It offers valuable insights into the diverse forms of giving and their impact within the complex socio-political landscape of the Arab world, highlighting both traditional and modern philanthropic practices. The document also points out the evolving nature of philanthropic engagement in response to pressing regional issues.
  • Case Study

Practicing Strategic Philanthropy: Notes from the Field

  • Source : International Journal of Strategic Philanthropy
  • 1 January 1970
Wong presents an action-research-based model for strategic philanthropy in Asia, outlining a comprehensive five-stage process: assessment, design, implementation, reflection, and learning. He critically contrasts "inside-out" and "outside-in" strategies, advocating for transdisciplinary, iterative processes and the development of adaptive competencies. The framework aims to guide philanthropic efforts towards more effective and sustainable social impact in the Asian context.
  • Paper / Report

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

  • Source : Bridgespan
  • 1 January 1970
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
  • 1 January 1970
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
  • 1 January 1970
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
  • 1 January 1970
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)
  • 1 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
  • 1 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
  • 1 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.
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