• Media Article

Request for Proposal (RFP): Evaluation of Centrally Sponsored Schemes in Package 3 – Education

  • Source : Development Monitoring and Evaluation Office (DMEO)
  • 1 January 2024
Request for Proposal (RFP) issued by the Development Monitoring & Evaluation Office (DMEO) of NITI Aayog, Government of India. Dated July 2024, this 131-page document invites technical consultants to evaluate various education sector schemes. It outlines the background, objectives, scope of work, eligibility criteria, evaluation process, and submission guidelines for interested applicants.
  • Academic / Journal Article

Datasheets for Datasets

  • Source : Microsoft Research
  • 1 January 2018
The paper advocates for comprehensive documentation of datasets to enhance transparency and accountability in machine learning. Inspired by the electronics industry’s component datasheets, it proposes that datasets include details on composition, collection processes, and recommended uses to improve communication between creators and consumers.
  • Paper / Report

Sizing the prize What’s the real value of AI for your business and how can you capitalise?

  • Source : PwC
  • 1 January 2017
The PwC report explores the economic impact of artificial intelligence (AI) by 2030, projecting a potential $15.7 trillion contribution to the global economy. It highlights significant GDP boosts in China (26%) and North America (14.5%), emphasizing AI’s role in enhancing productivity and product quality across various sectors.​
  • Paper / Report

Driving Social Impact through Innovative Finance Approaches

  • Source : ISDM
  • 1 February 2025
Examines innovative finance mechanisms to scale social impact, exploring themes such as impact investing, blended finance, venture philanthropy, assessment frameworks, and policy/regulatory frameworks in the Indian context. Draws on fellowship research commissioned by ISDM’s CIFSI to highlight drivers and challenges for sustainable social finance.
  • Blog

Big, Open Data for Development: A Vision for India

  • Source : Sam Asher et al.
  • 1 January 2021
This publication provides a vision for leveraging open data in India to address critical development challenges. It focuses on the use of big data to drive progress in key sectors such as health, agriculture, and education. By ensuring transparency and accountability, open data can help policymakers make informed decisions. The piece highlights the importance of making data accessible and fostering collaboration among stakeholders to drive development initiatives and ensure equitable opportunities for all.
  • Paper / Report

Transforming the Data Landscape: Solutions to Close Gender Data Gaps

  • Source : data2x
  • 1 January 2022
The report identifies 142 innovative solutions developed over the past five years to address gender data gaps across six development sectors. It emphasises practical, scalable approaches to enhance data collection, analysis, and use for promoting gender equality.
  • Case Study

Mapping community based initiatives

  • Source : ISDM
  • 1 June 2024
Explores multiple community-led initiatives in underprivileged Delhi colonies aimed at improving women’s economic, educational, physical, and mental well-being. Through qualitative analysis, highlights mechanisms through which localized collective action fosters resilience and empowerment among marginalized women.
  • Paper / Report

Applying artificial intelligence for social good

  • Source : McKinsey
  • 1 January 2018
This article explores how AI technologies can address global challenges across various domains, including crisis response, economic empowerment, education, and environmental sustainability. It presents a library of approximately 160 AI use cases aligned with the UN’s Sustainable Development Goals, showcasing AI’s potential to improve societal outcomes.
  • Academic / Journal Article

Where Data-Driven Decision-Making Can Go Wrong: Five pitfalls to avoid

  • Source : Harvard Business Review
  • 1 January 2024
This article discusses common pitfalls organisations face when relying solely on data for decisions. They emphasise the importance of understanding data limitations, avoiding overgeneralization, and integrating human judgment to enhance decision-making effectiveness. ​
  • Case Study

Big bets and bug bears for social justice philanthropy

  • Source : ISDM
  • 1 June 2024
Investigates enabling and constraining factors for private foundations funding justice and rights in India. Based on interviews with 21 stakeholders, identifies identity, external environment, grantmaking process, and praxis as critical dimensions shaping philanthropy. Highlights systemic challenges and pathways to strengthen support for rights-oriented non-profits.
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