E-QLT: A social security simulation platform

E-QLT is a social security simulation platform that governments, CSOs, researchers, insurance providers, SHGs, and individuals can use to understand how vulnerable households are to social and climate risks. It fills a major ecosystem knowledge gap by showing how well existing social protection schemes work at the household level. CSOs, planners, and researchers can use it to evaluate existing interventions and design better interventions. The tool provides a “social protection score” for each household and helps test different intervention strategies. Currently available as a publicly accessible web app, with public API access and deployment options planned for future releases.

Noting Major Gaps in Gender Statistics, Speaker Says Data Collection Must Ensure All Groups Are Represented, as Commission on Women Continues Session

The United Nations Commission on the Status of Women emphasised the need for comprehensive gender statistics to accurately reflect the experiences of all women and girls. Experts highlighted the importance of inclusive data collection, disaggregation, and the role of citizen-generated data in addressing gaps and informing effective policies.

Progress on Sustainable Development Goal indicators in 707 districts of India: a quantitative mid-line assessment using the National Family Health Surveys, 2016 and 2021

This article evaluates advancements in India’s districts concerning SDG indicators by analysing data from the 2016 and 2021 National Family Health Surveys. The study identifies areas of progress and highlights regions requiring focused interventions to achieve SDG targets.

Community Philanthropy in India

Compendium of fellowship research undertaken under ISDM’s CPID, compiling multiple working papers exploring themes across social justice philanthropy, tribal development, women’s welfare, community funding models, and innovative social finance. Serves as a curated body of qualitative case evidence for policy, practice, and further research.

Embracing Gen AI at Work

This report discusses how generative AI can transform various job sectors by enabling non-technologists to utilise AI through natural language commands. Their research indicates that over 40% of U.S. work activities could be augmented or redefined by generative AI, with significant impacts anticipated in legal, banking, insurance, and capital markets, followed by retail, travel, health, and energy sectors.

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

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.

Datasheets for Datasets

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.

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

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.​

Driving Social Impact through Innovative Finance Approaches

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.

Big, Open Data for Development: A Vision for India

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.
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