MAAP (Malnutrition Assessment and Action Plan)

MAAP is a mobile app that uses AI to help detect child malnutrition at home. Parents, caregivers, and health workers can take a photo of a child to estimate height and spot early signs of malnutrition. It offers simple advice and links with government systems like Poshan Tracker 2.0. The app makes child growth tracking cheaper and easier, especially in remote areas. It’s being piloted now and aims to reach 1 million children by 2030

Implementing a Smart Data Platform

This book examines the Smart Data Platform (SmartDP), a solution designed to enhance enterprises’ capabilities in data management, engineering, and science. The authors detail a comprehensive SmartDP approach encompassing data, platform products, data applications, and consulting services to strengthen existing data infrastructures.

Mobile Big Data and Artificial Intelligence: Towards sustainable development in Southeast Asia

This report explores how AI and mobile big data can address socioeconomic challenges in Indonesia, Malaysia, and Thailand. It highlights use cases in climate action and urban mobility, offering recommendations for scaling these technologies to achieve Sustainable Development Goals.

SEVA Vetbot App

SEVA Vetbot App helps livestock owners find herbal treatments for common animal illnesses. It supports farmers in rural areas who lack access to affordable veterinary care. Users can ask questions in Tamil or English using text or voice. In few months it will be available in other different languages. The platform uses AI to suggest treatments from a growing database of traditional practices. Available through a chatbot, it’s currently being tested with over 500 field workers. Plans are in place to reach 1 million users by 2030.

Evidence for Equity

Atiya Anis emphasises the critical need for sex-disaggregated data to advance gender equality. She illustrates how comprehensive data collection can inform policies addressing issues like declining female labour-force participation and gender-based violence, ultimately fostering more equitable societal outcomes.

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.
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