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Ankit is a PhD student in Sociology at University of Wroclaw, Poland and has a double Masters in Development and Social Work from Azim Premji University, and MP Bhoj Open University respectively. He previously worked in social development for four years. His research focuses on community philanthropy and women’s rights in rural India.
A public policy researcher with a decade of experience and a Ph.D. from IIMA, Anurag’s focus is on documenting philanthropy interests in Education in India, having worked with organisations like Brhat, Pratham and Azim Premji Foundation.
Pankaj is a dedicated public health researcher with more than four years of experience in Indian states such as Bihar, UP and Odisha. He completed his MPhil dissertation on BioSocial Determinants of Nutritional Anemia. He completed his Master of Social Work specialisation in Rural Development from Tata Institute of Social Sciences.
A tribal social entrepreneur, Raju founded Eklavya India Foundation to promote higher education and leadership among first generational learners. He holds a Masters in Social Work from the Tata Institute of Social Sciences and recently completed his MSc in Development Studies at the prestigious SOAS, University of London, on a Chevening Scholarship offered by the FCDO, UK.
Fellows from the first cohort explored topics including social justice philanthropy and its emerging trends, the integration of social justice issues across various philanthropic models, the challenges faced, and the innovation of new models to advance social justice.
The inaugural cohort took on key challenges in financial inclusion, regulatory frameworks, and ecosystem collaboration to advance innovative financing in the social sector. Their efforts generated valuable insights, helping to build a growing community of practice committed to driving systemic change for unlocking alternative funding opportunities.
Ankur is a seasoned impact sector consultant with 13 years of experience in social impact monitoring, evaluation, consulting, and operational risk management for social enterprises. Passionate about scaling impact, she aims to lead risk-rationed investments in deep impact models. Currently, she develops new-age learning tools for early-stage startups at IIMA-CIIE.
Founder & CEO of Impact-Verse, a tech platform that helps NGOs access outcome-based capital. A co-convenor of Parinaam 2023, an industry collaborative on OBF. He has experience with IFC, P&G, and various NGOs. An IIT Delhi and FMS Delhi graduate, he is a Blitzscaling, TAVtech, ELD, Design Innovation, and Jagriti Yatra Fellow
Shruti is currently an Independent Consultant based in Green Bay, Wisconsin (USA), working with Pratham International. She also works as a Knowledge Management Consultant at the Buddha Institute - an incubator program for for-profit social enterprises. Prior to this she worked as a Research Associate at IIM Ahmedabad, exploring the ecosystem for grassroots social entrepreneurship, with an emphasis on financial and organisation support.
She has a background in Economics from SRCC, Delhi University along with a Masters in Public Administration degree from SIPA, Columbia University.
The Digital Open Solutions (DOS) for Social Impact Fellowship developed open-source solutions for social sector challenges. Over 12 months, Fellows created tools that are freely accessible to the public, organisations, and key stakeholders. This Fellowship aimed to make data science a core part of social sector strategy, increase data science talent in the sector, and help SPOs improve efficiency through data-driven solutions.
E-QLT is a social security simulation platform. Through it, various stakeholders, such as the government, Civil Society Organisations (CSOs), and Self-Help Groups (SHGs), can see how vulnerable the communities they work with are, test interventions, simulate shocks, and plan for resilience. They can use existing datasets like census, socio-economic survey, national health survey, scheme databases, etc., or add their own datasets. The platform can also help the stakeholders understand the combined impact of different interventions and consider combining different interventions.
Output: EQLT is accessible through two means: a user-centric interface and a publicly available API.Team Lead: Yashwin IddyaTeam Members: Srinidhi Santosh, Sukanya Deepak, Pranay Karmakar, Sridhar RamanMentor: Bharath M. Palavalli
SEVA seeks to address the pervasive issue of information inaccessibility regarding grassroots green practices and methods among economically disadvantaged farmers, villagers, and livestock keepers. They worked on an AI and NLP-based chatbot application that provides digital access to livestock disease treatment using traditional herbal medicine, through a voice-assisted interface. This initiative aims to empower farmers, villagers, and livestock keepers with instant, reliable, and environmentally-friendly solutions for accessing information on animal disease treatment.
Output: AI and NLP-based chatbot application featuring a voice-assisted interface for Livestock ManagementTeam Lead: Mr. P. VivekanandanTeam Members: Ms. Sangeetha, Nallagacchu Naga Ganesh, B. Sakthi Meena, S.G. Selvi, K. DhayanithiMentor: Dr. Varadarasan
This platform is designed to revolutionise the paediatric healthcare landscape, particularly focusing on the comprehensive growth monitoring and nutritional management of children. At its core, it aims to mitigate the challenges posed by irregular growth monitoring, inaccurate diagnoses, and suboptimal nutritional counselling through three pivotal components - a digital growth monitoring platform, advanced diagnostic tools, and customised nutritional counselling features.
Output: Mobile Application for the Detection of MalnutritionTeam Lead: Nilashis RoyTeam Members: Nairita DasMentor: Romita Ghosh
I-Stem, founded by blind innovators with first-hand lived experience, has developed a generative AI-powered technology. Grounded on specific content for the community, the voice-based interface is made available through phone calls (IVR) or WhatsApp voice messages. Currently, the system offers a career discovery bot, a repository of textbooks, and information on benefits and schemes for people with disabilities in India. With the advent of large language models (LLMs), this information can be disseminated at scale through a robust, hands-free, eyes-free conversational experience across multiple devices.
Output: Chatbot for Blind and Low Vision IndividualsTeam Lead: Kartik SawhneyMentor: Prashant Ranjan Verma
This project is grounded in addressing the historical exclusion and societal prejudices faced by India's transgender, gender-diverse, and larger Gender and Sexual Minority (GSM) communities, commonly referred to as the LGBTQIA+ community. There is a substantial vacuum in terms of demographic data, multidimensional poverty, and a significant lack of participation in social, cultural, and economic activities within the aforementioned communities. Therefore, the aim of this project was to create an open, accessible, transparent, and AI-enabled data repository or dataset, where three different kinds of information gets stored: A. transgender-GSM demographic data, B. information related to livelihood opportunities and enabling services, and C. information related to Government schemes, policies, and services.
Output: Open, accessible, transparent, and AI-enabled data repository or dataset.Team Lead: Avinaba DuttaTeam Members: Sudeb Suvana, Prasenjit ChaudhuriMentor: Surajit Sikdar
The aim of this project was to develop a Digital Open Solution that provides the social sector with a Machine Learning software application. This application models the complex interdependencies between socioeconomic factors and income-improvement interventions, along with their effects on real income.
Output: An AI model to improve workers’ income in the informal sectorTeam Lead: Ashim TuliTeam Members: Praveen SN, ParthMentor: Dr. Gayathri Vasudevan