• Blog

Code4Change a great platform to learn, collaborate, and understand how technical solutions can contribute to public systems like justice delivery

  • Source : ISDM
  • 11 March 2026
Participants from the third edition of Code4Change reflect on working with real-world justice system challenges and what it took to build meaningful solutions The Final Showcase of the third edition of Code4Change was held on 16 January 2026 at the International Centre Goa (ICG). The hackathon, organised by the Centre for Data Science and Social Impact (CDSSI) at ISDM, in partnership with DAKSH and the Centre for Social Sensitivity and Action (CSSA), Goa Institute of Management, centred on a single…
  • Case Study

The AI Platform Ending Pay Uncertainty in the Informal Sector

  • Source : ISDM
Kanak AI uses machine learning on real-world training data to predict income potential and recommend targeted upskilling courses, empowering job seekers to negotiate fair wages and build stable careers. Azad Ahmad (25), works as a Data Entry Operator in Gurgaon. He earns enough to support his family and sponsor his parent’s healthcare needs.. But it wasn’t always so. In 2021, when he graduated with a Bachelor’s degree, the COVID-19 pandemic was still raging, and he found himself navigating a tenuous…
  • Case Study

AI is helping resurrect and scale India’s traditional veterinary medicinal practices

  • Source : ISDM
  • 18 March 2026
This mobile chatbot empowers low-literacy farmers and healers by combining centuries-old ethnoveterinary knowledge with Retrieval-Augmented Generation (RAG) and voice-enabled LLMs. The sun burned fiercely over the parched earth of Jambavanodai, a small village in Thiruvarur district in Tamil Nadu. In front of a small mud house, a group of gathered villagers were watching a sick cow lying on the ground. The cow was frothing at the mouth, and its eyes were rolling back. The worried owner had called the village…
  • Case Study

How a tool is helping secure India’s vulnerable workers

  • Source : ISDM
  • 19 March 2026
This platform allows policymakers to test the cumulative impact of social security schemes, forecast household risk, and offer evidence-based policy interventions for millions of informal labourers. On 9th September 2021, delivery and ride-share workers stood together in a protest outside the Supreme Court of India. They were demanding official recognition, which is denied to them because they are contracted as ‘partners’ rather than employees. This excludes them from essential social security benefits such as health insurance, pensions, and maternity cover….
  • Blog

How Is Data Science Being Used to Tackle the Global Problem of Clean Water?

  • Source : Discover Data Science
  • 1 January 1970
This article explores how data science is instrumental in addressing the global clean water crisis. It details how data-driven approaches enable efficient water resource management, including monitoring water quality, detecting leaks in infrastructure, and predicting demand. By analyzing diverse datasets from sensors, satellite imagery, and consumption patterns, data scientists can identify contamination sources, optimize distribution networks, and implement targeted conservation strategies. The insights derived help authorities and organizations make informed decisions, improve water accessibility, and ensure sustainable water supplies for communities worldwide, significantly contributing to public health and environmental well-being.
  • Blog

How Data Science is Reshaping Health Care

  • Source : University of San Diego
  • 1 January 1970
Data science is fundamentally reshaping healthcare by leveraging vast amounts of data to improve patient outcomes and operational efficiency. This article details how data-driven insights enhance diagnostics, personalize treatment plans, and predict disease outbreaks. It highlights the use of machine learning for analyzing medical images, genomics, and electronic health records to identify patterns and inform clinical decisions. Furthermore, data science optimizes hospital operations, manages supply chains, and develops new drugs. These applications lead to more precise medicine, reduced costs, and a proactive approach to public health.
  • Blog

Towards a Carbon Data Science

  • Source : Henley Business School
  • 1 March 2016
This paper explores the concept of Carbon Data Science, highlighting the need for integrated carbon datasets and advanced analytics to address climate change challenges. It outlines methods to harmonise environmental data for better carbon accounting and policy formulation. The authors propose frameworks for leveraging data science in emission tracking, financial modelling of green investments, and sustainable resource allocation. This interdisciplinary approach combines climate science, finance, and data analytics to support global efforts in reducing carbon emissions and achieving sustainability goals.
  • Blog

The Use of Data Science for Education: the Case of Social-emotional Learning

  • Source : Springer Open
  • 2 January 2017
This blog post explores the role of data science in enhancing social-emotional learning (SEL) within educational settings. By analysing behavioural and emotional data, it highlights how predictive analytics can support early identification of students needing intervention. The post discusses the development of data-driven tools to monitor emotional wellbeing and inform personalised SEL programs. It also considers ethical considerations in collecting and using sensitive student data. The case exemplifies how integrating SEL metrics into data science practices can improve holistic education outcomes and foster emotionally intelligent learning environments.
  • Blog

Using Data Science to Combat Poverty

  • Source : Newswise
  • 1 October 2021
This article presents how researchers at Empa are applying data science to fight poverty. By analysing complex socio-economic indicators and geospatial data, their models identify hidden patterns of deprivation and inform targeted interventions. The blog emphasises the importance of accurate, disaggregated data to design inclusive social policies and resource allocations. It showcases real-world examples of how data can support governments and organisations in anticipating needs, directing funding, and evaluating programme outcomes for poverty reduction.
  • Blog

The Study of Data Science Lags in Gender and Racial Representation

  • Source : General Assembly
  • 1 September 2017
This article explores the gender and racial disparities in the data science field. It examines the systemic factors behind unequal access to education, hiring discrimination, and workplace culture that inhibit inclusion. Citing data and case studies, the article stresses the need for mentorship, representation, and equitable hiring practices. It advocates for a more inclusive data science ecosystem that supports underrepresented groups and provides actionable solutions to foster diversity, equity, and belonging across educational and professional settings.
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