AI for Social Impact

The book explores the transformative role of artificial intelligence in addressing societal challenges. It presents case studies across public health, environmental sustainability, and crisis management, highlighting successful AI deployments. The book emphasises the importance of aligning AI methodologies with real-world applications to achieve meaningful social benefits.

Developing a corporate social justice index

This study explores how large companies report on social justice, developing an unweighted Corporate Social Justice Disclosure Index (CSJDI) based on major social themes and corporate stakeholders. It analyses annual reports of BSE 100 companies from FY 2016–17 to FY 2022–23 using content analysis. Results show increasing disclosure trends, influenced positively by revenue, women on boards, and ESG scores. CSJ disclosures also positively impact market capitalisation, revenue, and ESG performance, suggesting the need for enhanced corporate transparency and regulatory reforms.

Meet the Innovators Shaping AI to Serve Those Often Left Behind

This blog highlights the efforts of grassroots innovators in India who are leveraging AI to empower marginalized communities. It features insights from fellows of the Indian School of Development Management (ISDM) who are co-creating Digital Open Solutions (DOS) with communities to drive inclusive, tech-enabled change. The article discusses various initiatives aimed at improving accessibility, education, and livelihood opportunities for underserved populations.

World Development Report 2021: Data for Better Lives

This report examines how data can be leveraged to improve development outcomes, emphasizing the need for a new social contract to balance data use and privacy. It highlights the importance of equitable access, trust, and governance in harnessing data’s potential for societal benefit.

NGOs and tribal development

Analyses development strategies among the Katkari particularly vulnerable tribal group, focusing on livelihood shifts, literacy, healthcare, landlessness, and bonded labour. Contrasts two development paradigms: preservationist segregation vs integrationist planning via the Tribal Sub‑Plan approach and assesses policy efficacy and community impacts.

Fellowship 2025 Final Showcase (Digital Open Solutions (DOS) for Social Impact)

The CDSSI Fellowship Brochure 2025 details the fellowship program at the Centre for Digital Social Sector Initiatives (CDSSI), highlighting its objective to support professionals in developing innovative Digital Open Solutions (DOS) that address critical challenges in the social sector. The brochure outlines the fellowship structure, including mentorship, capacity building, and collaboration opportunities. It emphasizes the final outputs of the fellowship—scalable and replicable DOS developed by the fellows—aimed at driving digital transformation and social impact in diverse thematic areas.

Becoming educated

Documents scholarship initiatives at Farook College funded through alumni, faculty, and peer contributions to support underprivileged students, particularly girls, in accessing higher education. Shows self-sustaining mechanisms enabling competitive exam prep centers and placement support, fostering broader regional replication in Malabar.

Data Science in Real Estate: Roles, Benefits and Applications

This article explores the transformative impact of data science on the real estate sector. It highlights various roles for data scientists, emphasizing how their expertise can enhance decision-making. The benefits discussed include improved property valuation, optimized marketing strategies, and better risk assessment. Furthermore, the article delves into practical applications such as predictive analytics for market trends, personalized customer experiences, and efficient portfolio management, showcasing data science as a crucial tool for innovation and competitive advantage in real estate.

Data Science in Agriculture

This blog post from KnowledgeHut explores the transformative impact of data science on the agriculture sector. It discusses how data analytics, machine learning, and AI are being used to optimize crop yields, predict weather patterns, manage livestock, and enhance overall farm efficiency. The article highlights precision agriculture techniques that rely on data-driven insights to reduce waste, improve resource allocation, and increase profitability for farmers. It showcases the diverse applications of data science in addressing modern agricultural challenges and fostering sustainable practices.

SEARCH – Building a scalable model in Public Health

This case-let brings together insights from the experience of Dr Abhay and Rani Bang in building a community-based public healthcare model using an empowerment approach. The case-let also provides the learners with an opportunity to identify key strategies that enable community-based public healthcare models to scale through government partnerships and institutionalisation. It presents an opportunity for learners to critically engage with strategies that embed themselves in the socio-political and economic constraints of the context.
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