Neil S. Gaikwad
Neil S. Gaikwad


Neil Gaikwad

Doctoral Scholar
Human-compatible AI and Public Policy for Sustainable Systems
MIT Media Lab, Massachusetts Institute of Technology

नील गायकवाड
mail gaikwad@mit.edu
camera Environmental Arts


Research Interests Community-based, human-centered computing and data science: Human-compatible AI; HCI; social computing and computational social science; geospatial data science and remote sensing
Data-driven sustainable development policy domains: Food security and agriculture, poverty alleviation, market design, climate change adaptation and mitigation planning; AI and space tech policy; digital governance

Research Vision My research focuses on the design, implementation, and governance of human-compatible AI and social computations to inform equitable public policy decisions underpinning sociotechnical systems in low-resource environments to create a sustainable world. Over the centuries, sociotechnical systems—markets, food, and urban systems—have been instrumental for sustainability and global development. However, environmental, social, and economic threats (such as drought, market failures, disinformation, information asymmetry, inequities) lead to breakdowns in these systems, endangering marginalized populations worldwide. My research investigates socioeconomic and environmental processes underlying the threats using novel data, design, and computational lenses. In particular, I design social computations that harness human-and-artificial intelligence to (1) map, monitor, and model the impact of sustainability risks on vulnerable populations, analyzing environmental, economic, and human behavior data emerging from complex systems, institutions, and Earth remote sensing satellites; (2) inform and evaluate human-AI mediated societal decision-making for increasing equity in public policy interventions; (3) develop theories for designing human-compatible AI and Space technologies for sustainable sociotechnical systems. My experiences in academia, the finance industry (Wall Street), and fieldwork with communities inform the vision and applications of my research. These experiences drive my research agenda at the intersection of participatory design, computational thinking, and data-driven policymaking to address overarching sustainability challenges.

Selected Awards & Honors

Research and Innovation
    bookmark_borderMIT William Asbjornsen Albert Memorial Fellowship in Modern Science and Engineering Research, 2021 bookmark_borderRising Stars in Aerospace, 2021 (Area: Geospatial Data Science/Computing and Tech Policy) bookmark_borderFacebook Research Fellowship, 2019 bookmark_borderMicrosoft Research Fellowship, Finalist 2019 bookmark_borderINK Fellow Emerging Innovator, 2019 bookmark_borderBest Paper Honorable Mention, UIST 2017
Teaching
    bookmark_borderMIT Graduate Teaching Award, 2018 bookmark_borderMIT Kaufman Teaching Certificate, 2017
Leadership
    bookmark_borderKarl Taylor Compton Prize, 2019, MIT's Highest Student Award
Professional Service
    bookmark_borderDistinguished PC, IJCAI 2018 bookmark_borderCHI 2020 Special Recognition, Outstanding Reviews bookmark_borderCHI 2019 Special Recognition, Outstanding Reviews
Environmental Arts
    bookmark_borderThe MIT Arts Scholars bookmark_borderNational Geographic Photo of the Day

Research

Neil Gaikwad is a doctoral scholar at the Massachusetts Institute of Technology, specializing in human-compatible AI and public policy for sustainable systems. His current research develops human-AI interaction systems and policy mechanisms to monitor, estimate, and mitigate the adverse risk of climate extremes on vulnerable farmers and food systems. Neil had a data scientist career on Wall Street, where he researched financial markets and developed real-time analytics systems for high-stake decision-making and risk management. He joined MIT to invent scientific and community-based solutions to address pressing sustainability challenges that disproportionately impact vulnerable populations worldwide. Neil earned a master's degree from the School of Computer Science at Carnegie Mellon University. He works with Danielle Wood.

Neil leads the development of Data-driven Humanitarian Mapping, a human-centered data science research initiative that aims to increase equity in sustainable development policymaking and climate resilience planning. His research has been published in artificial intelligence and human-computer interaction conferences (AAAI, ACM CSCW, ACM UIST, ACM CHI) and a scientific journal (PNAS), and also featured in the New York Times, Bloomberg, WIRED, and The Wall Street Journal. Neil is one of the principal creators and founding members of Daemo, a self-governed AI data market, and EteRNA, a social computing system that enables massive scale human and machine collaboration to realize scientific discoveries neither of them can accomplish in isolation. He led Daemo's socio-technical architecture and developed Boomerang, an incentive-compatible reputation system (Gaikwad et al. 2015, 2016, 2017). His foundational contributions draw on game theory (mechanisms for prosocial behavior in AI data markets), structured finance (tranche-based guild structure for online collaboration), and human-centered design (shared mental model of task composition). Neil's TEDx talk presents his vision for just market institutions in the era of AI.

Neil's research has resulted in deployable open-source systems, environmental art exhibitions, and technical talks at global policymaking forums of the United Nations and European Union. It continues to benefit researchers and practitioners worldwide. Daemo has been cited in the International Labour Organization's (ILO) report on Digital Labour Platforms and the Future of Work and deployed to create SQuAD, Stanford's Natural Language Processing dataset. Besides, Boomerang (Gaikwad et al. 2016) has been a part of the advanced HCI/human-computation course curriculum at leading universities. EteRNA has reached over 250,000 citizen scientists as of 2016; it was also one of the 25 great ideas from CMU's School of Computer Science. Neil is committed to increasing diversity and belonging in HCI, AI, and policymaking. He was one of the core members of the Stanford Crowd Research Initiative, MIT's Innovating for Billions in Emerging Worlds Leadership Council, and Computational Sustainability Open Graduate Seminar organizers. He has mentored over 20 students, who have gone on to win prestigious awards (e.g., Apple Ph.D. Fellowship), pursue careers in research, and publish influential scholarship that has shifted the discourse on AI fairness. Neil's research, teaching, and professional service have been widely recognized with the Facebook Research Ph.D. Fellowship, William Asbjornsen Albert Memorial Fellowship (awarded to one MIT student conducting research in modern science and engineering), MIT Graduate Teaching Award (presented annually to one MIT professor or teaching assistant from each school for excellence in teaching a graduate-level course), the Karl Taylor Compton Prize (MIT's highest student award).

Selected News

Publications

[C] Conference [J] Journal [SP] Short Paper [D] Software System Demo [T] Conference Tutorial [BC] Book Chapter [P] Proceedings
Selected publications by subject
Human-centered Data science and social computing for sustainable systems
bookmark AI Data Market Design, Human-centered AI, Policymaking and Governance, Civic Participation


[ P ]Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning
Gaikwad, S., Iyer, Shankar., Lunga, Dalton., Bondi, Elizabeth.
KDD 2021: ACM SIGKDD Conference on Knowledge Discovery and Data Mining. link website picture_as_pdf paper

[ C ]Boomerang: Rebounding the Consequences of Reputation Feedback on Crowdsourcing Platforms
Gaikwad et al.
UIST 2016: The ACM Symposium on User Interface Software and Technology, (Acceptance rate of 20.6%)
In the readings of Human Computation classes at KAIST, Cornell University, University of Washington
picture_as_pdf paper code open source software code bookmarkgoogle scholar

[ SP ]Beyond Boundaries: Towards Symbiotic Relationship Between Ecological Arts and Computational Thinking for Sustainability
Gaikwad, S.
CSCW 2020: The ACM Conference on Computer-Supported Cooperative Work and Social Computing
picture_as_pdf paper link website bookmark Exhibited in the Ars Electronica 2020 Festival of Arts, Technology, and Society, as a part of the Garden CAMBRIDGE

[ D ]The Daemo Crowdsourcing Marketplace
Gaikwad et al.
CSCW 2017: The ACM Conference on Computer-Supported Cooperative Work
picture_as_pdf paper code open source software code bookmarkgoogle scholar

Human-centered AI and social computing at scale
bookmarkAlgorithmic Fairness and Governance, AI-Policy, Human-machine Collaboration, Open Innovation


[ SP ]Gobo: A System for Exploring User Control of Invisible Algorithms in Social Media
Bhargava, Rahul*❊ ., Chung, Anna*., Gaikwad, S*❊., Hope, Alexis*., Jen, Dennis*., Rubinovitz, Jasmin*., Saldías-Fuentes, Belén*., Zuckerman, Ethan*❊.
Correspondence authors, *equal Contributions.
CSCW 2019: The ACM Conference on Computer-Supported Cooperative Work and Social Computing
picture_as_pdf paper code Gobo system bookmarkgoogle scholar

[ C ]A Voting-Based System for Ethical Decision Making
Noothigattu, Ritesh., Gaikwad, S., Awad, Edmond., D'Souza, Sohan., Rahwan, Iyad., Ravikumar, Pradeep., Procaccia, Ariel D.
AAAI 2018: Association for the Advancement of Artificial Intelligence (Acceptance rate of 24.6%)
picture_as_pdf aaai paper book journal version in R&R state bookmarkgoogle scholar Press: "Social Media Has Failed Its Self-Driving Test"(Bloomberg) open_in_new"Researchers Go After the Biggest Problem with Self-driving Cars"(Axios) open_in_new

[ T ]Crowdcomputing and Citizen Science for Large-Scale Experiments
Gaikwad, S., Dsouza, Sohan., Vuculescu, Oana., Mao, Andrew., and Rahwan, Iyad.
IC2S2 2017: International Conference on Computational Social Science

[ C ]Crowd Research: Open and Scalable University Laboratories
Vaish, Rajan., Gaikwad, S., Kovacs, Gezza., Veit, Andreas., Krishna, Ranjay., Ibarra, Imanol., Simoiu, Camelia., Wilber, Michael.,
Belongie, Serge., Goel, Sharad., Davis, James., and Bernstein, Michael.
UIST 2017: ACM Symposium on User Interface Software and Technology, (Acceptance rate of 22.5%)
picture_as_pdf paper link website bookmarkgoogle scholar emoji_events ACM UIST Best Paper Honorable Mention, top 2.5% of the technical paper submissions Press: "A Stanford-led Platform for Crowdsourced Research Gives Experience to Global Participants"(Stanford News) open_in_new

[ J ]RNA Design Rules From a Massive Open Laboratory
Lee, Jeehyung., Kladwang, Wipapat., Lee, Minjae., Cantu, Daniel., Azizyan, Martin., Kim, Hanjoo., Limpaecher, Alex.,
Gaikwad, S., Yoon, Sungroh., Treuille, Adrien., Das, Rhiju., and EteRNA Participants
PNAS 2014: Proceedings of the National Academy of Sciences of the United States of America
picture_as_pdf paper code software system bookmarkgoogle scholar "Videogamers are recruited to fight Tuberculosis and other ills "(Wall Street Journal) open_in_new "RNA game lets players help find a biological prize"(New York Times) open_in_new "How turning science into a game rouses more public interest"(WIRED) open_in_new "Game lets citizen scientists participate in creating large-scale library of synthetic RNA designs"(Scientific American) open_in_new "Why video games are key to modern science "(CNN) open_in_new "Online game helps predict how RNA folds " (New Scientist) open_in_new

Publications by date
2020

[ SP.7 ]Beyond Boundaries: Towards Symbiotic Relationship Between Ecological Arts and Computational Thinking for Sustainability
Gaikwad, S.
CSCW 2020: The ACM Conference on Computer-Supported Cooperative Work and Social Computing
picture_as_pdf paper link website bookmark Exhibited in the Ars Electronica 2020 Festival of Arts, Technology, and Society, as a part of the Garden CAMBRIDGE

[ P.1 ]Humanitarian Mapping: Harnessing Data and Human-Machine Intelligence for Actionable Policy Decisions
Gaikwad, S., Iyer, Shankar., Lin, Yu-Ru., Lunga, Dalton.
KDD 2020: ACM SIGKDD Conference on Knowledge Discovery and Data Mining. link website picture_as_pdf paper

2019

[ C.5 ]VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository
Hu, Kevin., Gaikwad, S., Hulsebos, Madelon., Bakker, Michiel., Zgraggen, Emanuel., Hidalgo, Cesar., Kraska, Tim., Li, Guoliang., Satyanarayan, Arvind., Demiralp, Çağatay.
CHI 2019: The ACM CHI Conference on Human Factors in Computing Systems (Acceptance rate of 23.8%) picture_as_pdf paper code open source software code bookmarkgoogle scholar

[ SP.6 ]Gobo: A System for Exploring User Control of Invisible Algorithms in Social Media
Bhargava, Rahul*❊ ., Chung, Anna*., Gaikwad, S*❊., Hope, Alexis*., Jen, Dennis*., Rubinovitz, Jasmin*., Saldías-Fuentes, Belén*., Zuckerman, Ethan*❊.
Correspondence authors, *equal Contributions.
CSCW 2019: The ACM Conference on Computer-Supported Cooperative Work and Social Computing
picture_as_pdf paper code Gobo system bookmarkgoogle scholar

[ BC.1 ]Crowd Research: Open and Scalable University Laboratories
Vaish, Rajan., Gaikwad, S., Kovacs, Gezza., Veit, Andreas., Krishna, Ranjay., Ibarra, Imanol., Simoiu, Camelia., Wilber, Michael.,
Belongie, Serge., Goel, Sharad., Davis, James., and Bernstein, Michael.
Design Thinking Research: Looking Further: Design Thinking Beyond Solution-Fixation
Springer Nature 2019
book book chapter bookmarkgoogle scholar

2018

[ C.4 ]A Voting-Based System for Ethical Decision Making
Noothigattu, Ritesh., Gaikwad, S., Awad, Edmond., D'Souza, Sohan., Rahwan, Iyad., Ravikumar, Pradeep., Procaccia, Ariel D.
AAAI 2018: Association for the Advancement of Artificial Intelligence (Acceptance rate of 24.6%)
picture_as_pdf aaai paper book journal version in R&R state bookmarkgoogle scholar Press: "Social Media Has Failed Its Self-Driving Test"(Bloomberg) open_in_new"Researchers Go After the Biggest Problem with Self-driving Cars"(Axios) open_in_new

[ T.2 ]Seafloor to Satellites: Crowdcomputing and Data Across Scales
Gaikwad, S., Vilgalys, Max., Stroming, Jeremy., Woodward, Ben, Browder, Rebecca.
All Hands on Deck 2018: National Ocean Exploration Forum, NOAA Office of Ocean Exploration and Research and MIT
picture_as_pdf extended abstract link website

[ SP.5 ]Decoding the Evolution of UN’s Sustainable Development Goals using Bayesian Inference
Gaikwad, S.
Santa Fe Institute, Complex Systems Summer School Proceedings 2018
picture_as_pdf extended abstract

2017

[ C.3 ]Crowd Research: Open and Scalable University Laboratories
Vaish, Rajan., Gaikwad, S., Kovacs, Gezza., Veit, Andreas., Krishna, Ranjay., Ibarra, Imanol., Simoiu, Camelia., Wilber, Michael.,
Belongie, Serge., Goel, Sharad., Davis, James., and Bernstein, Michael.
UIST 2017: ACM Symposium on User Interface Software and Technology, (Acceptance rate of 22.5%)
picture_as_pdf paper link website bookmarkgoogle scholar emoji_events ACM UIST Best Paper Honorable Mention, top 2.5% of the technical paper submissions Press: "A Stanford-led Platform for Crowdsourced Research Gives Experience to Global Participants"(Stanford News) open_in_new

[ C.2 ]Crowd Guilds: Worker-led Reputation and Feedback on Crowdsourcing Platforms
Whiting, Gamage, Gaikwad et al.
CSCW 2017: The ACM Conference on Computer-Supported Cooperative Work and Social Computing (Acceptance rate of 25%) picture_as_pdf paper bookmarkgoogle scholar

[ T.1 ]Crowdcomputing and Citizen Science for Large-Scale Experiments
Gaikwad, S., Dsouza, Sohan., Vuculescu, Oana., Mao, Andrew., and Rahwan, Iyad.
IC2S2 2017: International Conference on Computational Social Science

[ D.1 ]The Daemo Crowdsourcing Marketplace
Gaikwad et al.
CSCW 2017: The ACM Conference on Computer-Supported Cooperative Work
picture_as_pdf paper code open source software code bookmarkgoogle scholar

[ SP.4 ]Prototype Tasks: Improving Crowdsourcing Results through Rapid, Iterative Task Design
Gaikwad et al.
AAAI HCOMP 2017: AAAI Conference on Human Computation
picture_as_pdf paper code open source software code bookmarkgoogle scholar

[ SP.3 ]Designing a Constitution for a Self-Governing Crowdsourcing Marketplace
Gaikwad, S. with Crowd Research Collective Members.
Collective Intelligence 2017: ACM Collective Intelligence Conference
picture_as_pdf paper code open source software code bookmarkgoogle scholar

2016

[ C.1 ]Boomerang: Rebounding the Consequences of Reputation Feedback on Crowdsourcing Platforms
Gaikwad et al.
UIST 2016: The ACM Symposium on User Interface Software and Technology, (Acceptance rate of 20.6%)
In the readings of Human Computation classes at KAIST, Cornell University, University of Washington
picture_as_pdf paper code open source software code bookmarkgoogle scholar

[ SP.2 ]Crowd Research: Research At Scale
Vaish, Rajan., Gaikwad, S., Ginzberg, Adam., Ibarra, Imanol., Kovacs, Geza., Krishna, Ranjay., Morina, Durim., Mullings, Catherine.,
Simoiu, Camelia., Veit, Andreas., Wilber, Michael., Zhou, Sharon., Belongie, Serge., Goel, Sharad., Davis, James., Bernstein, Michael.
Stanford HCI Design Open House 2016 picture_as_pdf poster

2015

[ SP.1 ]Daemo: A Self-Governed Crowdsourcing Marketplace
Gaikwad et al.
UIST 2015: The ACM Symposium on User Interface Software and Technology
picture_as_pdf paper picture_as_pdf poster code open source software code bookmarkgoogle scholar Press: "The future of work the peoples uber"(Pacific Standard) open_in_new

2014

[ J.1 ]RNA Design Rules From a Massive Open Laboratory
Lee, Jeehyung., Kladwang, Wipapat., Lee, Minjae., Cantu, Daniel., Azizyan, Martin., Kim, Hanjoo., Limpaecher, Alex.,
Gaikwad, S., Yoon, Sungroh., Treuille, Adrien., Das, Rhiju., and EteRNA Participants
PNAS 2014: Proceedings of the National Academy of Sciences of the United States of America
picture_as_pdf paper code software system bookmarkgoogle scholar "Videogamers are recruited to fight Tuberculosis and other ills "(Wall Street Journal) open_in_new "RNA game lets players help find a biological prize"(New York Times) open_in_new "How turning science into a game rouses more public interest"(WIRED) open_in_new "Game lets citizen scientists participate in creating large-scale library of synthetic RNA designs"(Scientific American) open_in_new "Why video games are key to modern science "(CNN) open_in_new "Online game helps predict how RNA folds " (New Scientist) open_in_new


Invited Research Talks & Panels

Topics
Human-centered machine learning, sustainable development, and market design with a focus on capabilities and non-idealistic approaches

2021

subjectHarvard Weatherhead Center for International Affairs
Participatory design of AI and climate change adaptation planning for increasing equity in agricultural markets under weak institutional enforcement

2020

subjectCenter for Research on Computation and Society, Harvard University
AI for Social Good Workshop, Joint talk with Danielle Wood

2019

subjectOak Ridge National Laboratory, Tennessee
Human-centered Machine Learning for Socioeconomic Development

subjectUnited Nations AI for Good Summit, Geneva
Designing Human-centered AI for Socioeconomic Development

subject PopTech and RISD, Providence
The Future of Food Exploratory

subjectDell EMC, Massachusetts
Challenges and Opportunities in Designing Human-centered Artificial Intelligence

2018

subjectWadhwani Institute for AI, Mumbai
Artificial Intelligence and Society

subjectEthics and Governance of AI, Harvard Berkman Klein Center and Media Lab, Cambridge
Human-AI Collaboration for Sustainable Market Design with a focus on Capabilities and Non-idealistic Approach

subjectA European Dialog on the Platform Economy, European Trade Union Institute and Partners, Brussels
Daemo, A Self Goverining Crowdsourcing Market

subjectMIT Science Communication IAP Workshop, Cambridge
Summarizing research for a TED-style talk

2017

subjectAAAI Human Computation and Crowdsourcing (HCOMP), Québec City, 2017
Industry Panel on Crowdsourcing. Declined to increase the panel’s gender diversity.

subjectTEDx, BeaconStreet, Boston
The Future of Markets in the Era of Artificial Intelligence Link

subjectThe HPI-Stanford summit, Potsdam, Germany
Design Thinking and Crowd Research

subjectEmerging Worlds Initiative, Cambridge
Computing and Sustainable Development

subjectColloquium on the Human Brain, Providence College
Human Machine Symbiosis

subjectInternational Conference on Computational Economics, Germany
Crowdcomputing and Citizen Science for Large-Scale Experiments

2016

subjectACM UIST, Tokyo, Japan
Boomerang: an Incentive Compatible Reputation System

2014

subjectXerox Research, Webster, NY
The Science of Human Computation

Grants & Funds Raised

Lead author on following grants:
2019-2020
eco Facebook Fellowship
eco Dean's Grant for the Committee on Scholarly Interactions, MIT
eco Travel Grant, MIT Media Lab

2018
eco MIT and Industry Alliance Quest for Intelligence Grant; Gaikwad and Danielle Wood
eco Dean's Grant for the Committee on Scholarly Interactions, MIT
eco Travel Grant, MIT Media Lab

2017
eco MIT GSC Travel Grant
eco Grad Student Life Grant, the Office of Grad Education, MIT
eco MIT Media Lab StudCom Grant 2017

2016
eco Knights News Challenge Grant; Gaikwad. with Crowd Research Collective. [Selected in top 20 of 1,000+]

AI/ML Research Demos

Demo to A. R. Rahman, Grammy and Academy Award Winning Musician
AI for Music and Immersive Experience

Demo to Sanjiv Mehta, Chairman Managing Director of Hindustan Unilever
Machine Learning and Sustainable Supply Chain

Demo to Shekhar Kapur, an international film director, actor, and producer
AI and Storytelling
Interesting papers with research acknowledgments

Woolley, Anita., Chabris, Christopher., Pentland, Alex., Hashmi, Nada., and Malone, Thomas., "Evidence For a Collective Intelligence Factor in the Performance of Human Groups"
Science 2010

Teaching, Student Supervision, and Mentoring

Teaching and mentoring have been an indispensable part of my quest to help grow and encourage a generation of creative scholars, scientists, policymakers, and inventors who will collectively engage in solving pressing societal challenges of our time. My mentees' accomplishments give me an immense sense of gratification that cannot be measured.

Courses taught/developed as a TA or an instructor
Topics: Computational Social Science, Machine Learning and Development, Base-of-the-Pyramid Innovation
Spring 2020 — Course Project Mentor
MIT 15.376/MAS.664: AI for Impact: Towards Solving Societal-Scale Problems Fall 2017 — Teaching Assistant and Statistical Programming Lab Instructor
MIT MAS.S61: Computational/Quantitative Social Science Research Methods 2017-2018 — Instructor and Innovation Mentor
MIT Emerging Worlds: Seminar Course Introduction to Machine Learning for Development
MIT Emerging Worlds: Design Thinking and Innovation Workshop for Women Entrepreneurs
MIT Emerging Worlds: Design Thinking and Innovation Workshop for Executive Program in General Management Spring 2010 — Course Grader
Carnegie Mellon 15 − 859 (B): Machine Learning Theory Spring 2009 — Teaching Assistant
Carnegie Mellon 45 − 881: Entrepreneurial Thought & Action

Conference Tutorials and Classroom Guest Lectures IC2S2 2017 Tutorial
Crowdcomputing and Citizen Science for Large-Scale Experiments
All Hands on Deck 2018 Tutorial
Seafloor to Satellites: Crowdcomputing and Data Across Scales 100 Robots for 100 Kids, Volunteer Robotics Teacher for at-risk Youth
Carnegie Mellon Robotics Institute Spring 2019 Guest Lecture: Human-centered Machine Learning for Socioeconomic Development
MIT 15.226 Modern Business in India

Student Supervision & Mentoring

MIT
Undergraduate Research Opportunity Program (UROP) and SM Program
(1) Yodahe Alemu (MIT EECS), Spring/IAP 2020
(2) Xuenan Ni (MIT SM, Department of Urban Studies and Planning), Fall 2018 and Spring 2019
(3) Ankur Podder (MIT SM, School of Architecture and Planning), Spring 2018
(4) Kealani Finegan (MAS, Wellesley College), Fall 2018
(5) Sourav Das (MIT EECS), Spring 2018
(6) Alice Jin (MIT EECS), Co-supervised. Fall 2017
Some of the students with positions they acquired after the projects
Directly supervised and mentored during the project: Daemo, a Self-governed Crowdsourcing Marketplace
(7) Aditi Mithal (Awarded Google Venkat Panchapakesan Memorial Scholarship, CS grad program at UCLA)
(8) Aditi Nath (CS grad program at Arizona State University)
(9) Ankita Sastry (Info Security grad program Carnegie Mellon)
(10) Gabriela Noemi Gongora (Engineering Management grad program Stevens Institute of Technology)
(11) Karan Rajpal (CS grad program at Cornell University)
(12) Nalin Chhibber (Mathematics grad program at the University of Waterloo)
(13) Prastut Kumar (The Google Summer of Code Berkman Klein Center Harvard University)
(14) Prithvi Raj (Siemens Research and Development, Bangalore)
(15) Rahul Sheth (Undergraduate program at the University of California, Los Angeles)
(16) Radhika Bhanu K (CS grad program at Cornell University)
(17) Vibhor Sehgal (iSchool Grad program at the University of California, Berkeley)
(18) William Dai (Undergraduate program at the University of California, Berkeley)
List of MIT students and their papers mentored as a teaching assistant and/or a colleague
Buolamwini, Joy., Timnit, Gebru., "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", ACM FAT* Conference on Fairness, Accountability, and Transparency (FAT), 2018 open_in_new
Epstein, Ziv., Pennycook, Gordon., Rand, David., "Will the crowd game the algorithm? Using layperson judgments to combat misinformation on social media by downranking distrusted sources", CHI 2019 Conference on Human Factors in Computing Systems open_in_new Ananthabhotla, Ishwarya., Rieger, Alexandra., Greenberg, Dan., Picard Rosalind., "MIT Community Challenge: Designing a Platform to Promote Kindness and Prosocial Behavior", CHI 2017 Conference on Human Factors in Computing Systems open_in_new
Arts Mentoring
Mentor, MIT Hacking Arts 2019, MIT’s annual event celebrating the intersection of entrepreneurship, technology, and creative industries. Guided teams of creative technologists and artists to design human-centered machine learning to enhance artistic processes.

Professional Service

Program Committee and/or Reviewer in AI-Machine Learning, HCI, and Social Computing conferences
flare ACM EAAMO 2021
flare KDD Data-driven Humanitarian Mapping 2021
flare IC2S2 2021 (Computational Social Science Conf.)
flare Harvard CRCS Rising Stars Workshop on AI for Social Impact 2020
flare KDD Data-driven Humanitarian Mapping 2020
flare NeurIPS 2020 ML4D Workshop
flare AAAI 2020
flare ACM CHI 2020
flare CSCW 2020 LBW
flare NeurIPS 2019 ML4D Workshop
flare ACM CHI 2019
flare ACM CSCW 2019
flare IJCAI 2018
flare ACM CSCW 2018
flare WWW 2017
flare iConference, 2010

Leadership

flare MIT Media Lab Diversity Committee
flare Program Committee Computational Sustainability Open Graduate Seminar open_in_new
flare Program Committee & Co-Organizer The Harvard Center for Research on Computation and Society, Workshop on AI for Social Impact open_in_new
flare Co-Chair 5th MIT India Conference
flare Co-chair MIT SP Committee on Scholarly Interactions,a graduate student organization dedicated to stimulate and foster intellectual exchanges among the MIT community
flare Leadership Council MIT Innovating for Billions Initiative
flare Media Lab Design Rep GradRat Ring
flare Co-organizer, EteRNA sessions for Leap@CMU Summer enrichment program for high school students

Initiatives Founded

At MIT, Neil has spearheaded new initiatives to established research mentoring trainings for MIT graduate, undergraduate, postdoc communities.

flare Lead and co-founder, MIT Graduate Student Symposium Series
flare Founder Research Mentoring Initiative for MIT graduate, undergraduate, postdocs community
flare Lead Founder Science, Technology, and Social Justice Speaker Series, MIT SP Committee on Scholarly Interactions

Environmental Arts

Neil is an environmental photographer and an MIT arts scholar. His environmental artwork inspires his scientific endeavors in AI and sustainable development. His exhibition Beyond Boundaries captures the complexities of our planet, including 3,000 years old glacier landscapes, the Western Ghats (Sahyadri) of India, cultures, and pressing societal challenges such as climate change. Neil's photography work has been published in National Geographic. For more information, please visit `Explore the Planet Earth’ on Facebook and Instagram.

The Game of Cricket

Neil’s research draws inspiration from sports and team dynamics. He was a former cricket player— opening batter and leg spinner. In the US leagues, he kept wickets (similar to being a catcher in Baseball) for Jermaine Lawson, former international cricketer, and Harshal Patel, Royal Challengers Bangalore's fast-bowler in the IPL.

Some of the archived man of the match scorecards:
sports_cricket [146 not out]
sports_cricket [71 not out]

Sports Quote: "and so you touch this limit, something happens and you suddenly can go a little bit further. With your mind power, your determination, your instinct, and the experience as well, you can fly very high" -- Ayrton Senna.

Where The Mind is Without Fear

Where the mind is without fear and the head is held high

Where knowledge is free

Where the world has not been broken up into fragments

By narrow domestic walls

Where words come out from the depth of truth

Where tireless striving stretches its arms towards perfection

Where the clear stream of reason has not lost its way

Into the dreary desert sand of dead habit

Where the mind is led forward by thee

Into ever-widening thought and action

Into that heaven of freedom, my Father, let my country awake.

Nobel Laureate Rabindranath Tagore

The Impossible Dream (The Quest)

To dream the impossible dream
To fight the unbeatable foe
To bear with unbearable sorrow
To run where the brave dare not go

To right the unrightable wrong | To love pure and chaste from afar
To try when your arms are too weary | To reach the unreachable star

This is my quest | To follow that star
No matter how hopeless | No matter how far

To fight for the right | Without question or pause
To be willing to march into Hell | For a heavenly cause

And I know if I'll only be true | To this glorious quest
That my heart will lie peaceful and calm | When I'm laid to my rest

And the world will be better for this
That one man, scorned and covered with scars
Still strove with his last ounce of courage
To reach the unreachable star!

Joe Darion (From The Man of La Mancha)