Technology for Social Change and Organisational Efficiency

Harness technology and digital tools to address complex social challenges, enabling innovation and creating contextual, scalable, and sustainable solutions that also enhance operational and organisational efficiency.

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Development Management in PracticeBook

30 December 2025

Development Management in Practice

This book is a compilation of research papers and case studies presented at ISDM’s Dialogues on Development Management (DoDM) event held in 2024. The book brings together a rich collection of empirical insights and analyses from practitioners, researchers, and development professionals engaged in strengthening the social sector in India. The volume illuminates how theory and practice intersect across three thematic pillars, Talent Management for Inclusive Development, Empowering the Marginalised through Intervention Management, and Organisational Efficiency in Sociological and Technological Dimensions, to advance the field of development management.

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

1 April 2025

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.

U&I: Nurturing Empathy for EffectivenessCase Study

2 March 2022

U&I: Nurturing Empathy for Effectiveness

U&I is a volunteer-driven charitable organization based in Bengaluru, Karnataka, India. It provides non-formal education to underprivileged children in 25 cities around India, through a network of over 2,300 volunteers. The casestudy engages with the ways in which conscious design can nurture structures, spaces and processes that enable the integration of an organization’s mission and volunteer model with the leadership’s core principles of empathetic care and authentic relationships. It provides an opportunity for learners to reflect on how designing for empathy can produce tangible programmatic impact, develop in-house leadership and build a self-sustaining organizational culture and volunteer ecosystem.

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Embracing Innovation in Education: Tools for Enhanced Learning and CollaborationBlog

8 May 2024

Embracing Innovation in Education: Tools for Enhanced Learning and Collaboration

In today's digital age, innovation has become an integral part of every aspect of our lives, including education. With the rapid advancements in technology, students now have access to a wide range of tools that aid their learning journey. These tools have revolutionized the way education is imparted and have made learning more engaging, interactive, and effective. In this article, we will explore how embracing innovation in education through the use of advanced tools can greatly benefit students.Personalized Learning for...

Development Management in PracticeBook

30 December 2025

Development Management in Practice

This book is a compilation of research papers and case studies presented at ISDM’s Dialogues on Development Management (DoDM) event held in 2024. The book brings together a rich collection of empirical insights and analyses from practitioners, researchers, and development professionals engaged in strengthening the social sector in India. The volume illuminates how theory and practice intersect across three thematic pillars, Talent Management for Inclusive Development, Empowering the Marginalised through Intervention Management, and Organisational Efficiency in Sociological and Technological Dimensions, to advance the field of development management.

Code4Change Is Different. It Is About Contributing To Society.Blog

1 March 2025

Code4Change Is Different. It Is About Contributing To Society.

Winners of the second edition of Code4Change, Teams Harmony and Level Up, talk about tackling real-world challenges with data-driven solutions.

State of the Sector: A Report on the Data Maturity of Social Purpose Organisations in IndiaPaper / Report

1 August 2025

State of the Sector: A Report on the Data Maturity of Social Purpose Organisations in India

The State of the Sector Report offers insights into data readiness and barriers within the social sector across various relevant segments such as type of organisation, thematic areas of work, organisational size, annual expenditure, and geographic presence. The report is designed to shed light on specific challenges faced by organisations in their data maturity, journey and to inspire funders and ecosystem enablers to invest resources in advancing data maturity within the sector.

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Media Article
  • 1 May 2020

How Data Science Can Improve Mental Health Care

This article explores the transformative potential of data science in improving mental health care. It discusses how the analysis of large datasets from electronic health records, wearable devices, and social media can lead to more personalized and effective treatments. The piece highlights data science’s ability to identify individuals at risk, predict treatment responses, and detect patterns in mental health conditions. By providing clinicians with deeper insights into patient needs and treatment effectiveness, data science can enhance diagnostic accuracy, optimize interventions, and improve patient outcomes in mental health services.
Blog
  • 1 May 2020

The data analytics of substance abuse & treatment

This resource from Crayon Data discusses the role of data analytics in addressing substance abuse and treatment. While the specific article is not directly accessible through the provided URL, the platform generally focuses on leveraging AI and data to solve enterprise challenges, including understanding customer behavior and optimizing processes. It suggests that data science can be applied to complex social issues like substance abuse to identify patterns, improve intervention strategies, and enhance treatment outcomes through data-driven insights.
Media Article
  • 1 May 2020

How Data Science is Pushing Transportation into the Future

Data science is transforming transportation by enabling smarter, more efficient, and safer systems. This article explores how predictive analytics optimizes traffic flow, reduces congestion, and enhances public transit reliability. It discusses the use of data to analyze rider behavior, inform route planning, and implement dynamic pricing models. Furthermore, data science contributes to the development of autonomous vehicles and intelligent infrastructure, improving accident prevention and emergency response times. These innovations leverage vast datasets to create responsive and sustainable transportation networks that benefit commuters and urban environments alike.
Academic / Journal Article
  • 1 May 2020

How could theory better inform practice? An investigation of the potential contribution of social innovation research literature to community philanthropy social change initiatives

This thesis investigates the often-limited contribution of academic theory to practical community philanthropy. It employs bibliometric and case-study methodologies to explore whether social innovation literature is informing meaningful, real-world impact. A comprehensive mapping of research trends is conducted to identify disconnects and thematic gaps between scholarship and practice. Focusing on the Vancouver Foundation's Systems Change grantmaking as a case study, the author explores how theory can better align with practitioner needs. The work culminates in a prototype of an artificial intelligence-driven literature review engine that enables practitioners to access and apply research more effectively in social and philanthropic initiatives.
Blog
  • 1 May 2020

GDP Analysis with Data Science

This blog post provides an introduction to analyzing Gross Domestic Product (GDP) using data science techniques. It likely covers how data scientists can collect, clean, and analyze GDP data to identify trends, forecast economic growth, and gain insights into a country’s economic health. The article may demonstrate basic data manipulation and visualization methods, making complex economic data more accessible and interpretable through data science tools.
Media Article
  • 1 April 2020

How Data Science is changing the world for better

Data science is profoundly transforming various sectors, making a significant positive impact globally. This article highlights how data-driven insights are revolutionizing healthcare through enhanced diagnostics and personalized treatments, optimizing transportation for efficiency and safety, and improving environmental sustainability efforts. It also touches upon advancements in agriculture, urban planning, and social welfare programs, demonstrating how the strategic application of data analysis leads to smarter decision-making, resource optimization, and the development of innovative solutions that address complex societal challenges, ultimately fostering a better future.
Media Article
  • 1 April 2020

How AI/ML technologies are increasing agricultural productivity and profitability

This article details how Artificial Intelligence (AI) and Machine Learning (ML) technologies are significantly boosting agricultural productivity and profitability. It explains how AI-based solutions analyze variables like soil nutrient content, moisture, and weather patterns to provide farmers with precise advice on crop rotation, planting, and pest management. The piece highlights applications such as AI-powered weather forecasting, soil and crop health monitoring systems, and agricultural robots for efficient harvesting and weed control. These technologies enable farmers to meet increasing food demands sustainably while optimizing resource use and enhancing revenues.
Blog
  • 1 March 2020

Making a Positive Impact: How Data Science is Being Used for Social Good

This article highlights various ways data science is being utilized for social good, demonstrating its capacity to drive positive impact across diverse sectors. It covers applications ranging from improving healthcare and education to addressing poverty and environmental issues. The piece showcases how data-driven insights can inform decision-making, optimize interventions, and create more equitable and sustainable solutions for societal challenges. It underscores the growing role of data science in humanitarian and social impact initiatives.
Media Article
  • 1 March 2020

How Data Science Helps Conquer the Global Water Crisis

This article explores how data science and analytics are crucial in tackling the global water crisis. It details how real-time monitoring via sensors, well-water flow tracking, and local usage trend-mapping provide comprehensive insights into water availability and issues. Data analysis helps identify sources of water-borne diseases and promotes smarter water use through efficient technologies and conservation. The piece also anticipates AI’s growing role in automated monitoring and optimizing water distribution networks, emphasizing the need for skilled data scientists to drive future solutions.
Media Article
  • 1 February 2020

How Data Science Is Being Used To Tackle Childhood Obesity

Data science and AI are increasingly vital in combating childhood obesity, offering tools for early prediction, personalized interventions, and comprehensive management. Machine learning models analyze diverse data, including BMI, electronic health records, and lifestyle factors, to identify at-risk individuals and optimize therapies. Wearable devices and digital health technologies enable real-time monitoring and behavioral nudges. These data-driven approaches improve diagnostic accuracy, support clinical decision-making, and promote tailored strategies for prevention and treatment, ultimately aiming to reduce the global burden of childhood obesity.
Media Article
  • 1 February 2020

Quality of Data in NFHS-4 Compared to Earlier Rounds

This article examines the quality of data collected in the National Family Health Survey-4 (NFHS-4), comparing it with previous rounds of the survey. It provides a detailed analysis of how data quality has evolved over time, identifying improvements made in data collection methodologies, sampling techniques, and coverage. Despite these advancements, the study also discusses persistent challenges such as reporting biases, inconsistencies in data across regions, and underreporting in certain categories. These challenges continue to affect the reliability of the data, although the NFHS remains a critical source of health and demographic data for India.
Media Article
  • 1 February 2020

Rethinking fire with data analytics and systems design

This MIT News article explores how data analytics and systems design are being used to rethink approaches to fire management and prevention. It likely discusses innovative methods for analyzing fire behavior, predicting wildfire spread, and optimizing resource allocation for firefighting efforts. The piece emphasizes a holistic, data-driven approach to understanding and mitigating the impact of fires, integrating technological advancements with systemic thinking to develop more effective strategies for public safety and environmental protection.
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