- Research Assistant
Neil Gaikwad (@neilsgaikwad)
► Specialities
Societal Computing and Data Science (Human-centered machine learning, computational social science, sustainable AI-HCI, Earth observation remote sensing); Sustainable Development and Policy (Market design, risk-resiliency-and-urban planning, environmental justice); Design (Participatory design and civic engagement)
► Research
Neil Gaikwad specializes in human-centered machine learning and public policy for sustainability. He designs and develops socially-aware Artificial Intelligence for sustainable development, with a focus on increasing equity in institutional policymaking and spatial planning, analyzing socio-economic processes and large-scale data emerging from environmental remote sensing satellites.
Neil's research has been published in premier artificial intelligence and human-computer interaction conferences (AAAI, ACM UIST, ACM CSCW, ACM CHI) and a scientific journal (PNAS), and featured in the New York Times, Bloomberg, WIRED, and Wall Street Journal. Neil is one of the founders and chairs of the SIGKDD workshop on Humanitarian Ma… View full description
Neil Gaikwad (@neilsgaikwad)
► Specialities
Societal Computing and Data Science (Human-centered machine learning, computational social science, sustainable AI-HCI, Earth observation remote sensing); Sustainable Development and Policy (Market design, risk-resiliency-and-urban planning, environmental justice); Design (Participatory design and civic engagement)
► Research
Neil Gaikwad specializes in human-centered machine learning and public policy for sustainability. He designs and develops socially-aware Artificial Intelligence for sustainable development, with a focus on increasing equity in institutional policymaking and spatial planning, analyzing socio-economic processes and large-scale data emerging from environmental remote sensing satellites.
Neil's research has been published in premier artificial intelligence and human-computer interaction conferences (AAAI, ACM UIST, ACM CSCW, ACM CHI) and a scientific journal (PNAS), and featured in the New York Times, Bloomberg, WIRED, and Wall Street Journal. Neil is one of the founders and chairs of the SIGKDD workshop on Humanitarian Mapping, and co-organizer of the Computational Sustainability Open Graduate Seminars. His TEDx talk presents the vision for just markets in the era of artificial intelligence.
► Awards
Research and Innovation
- Facebook Research Fellowship, 2019
- INK Fellow Emerging Innovator, 2019
- Best Paper Honorable Mention, UIST 2017
Teaching
- MIT Graduate Teaching Award, presented annually to one MIT professor or teaching assistant from each school, for excellence in teaching a graduate level course
- MIT Kaufman Teaching Certificate, 2017
Leadership
- Karl Taylor Compton Prize, 2019, MIT's Highest Student Award
Professional Service
- Distinguished PC, IJCAI 2018
- CHI 2020 Special Recognition, Outstanding Reviews
- CHI 2019 Special Recognition, Outstanding Reviews
Ecological Arts
- The MIT Arts Scholars
- National Geographic Photo of the Day
► Select Talks
Harvard Center for Research on Computation and Society AI for Social Good
Human-centered Machine Learning and Public Policy for Socioeconomic Development
Oak Ridge National Laboratory, Tennessee
Human-centered Machine Learning for Socioeconomic Development
United Nations AI for Good Summit, Geneva
Designing Human-centered AI for Socioeconomic Development
PopTech and RISD, Providence
The Future of Food Exploratory
Wadhwani Institute for AI, Mumbai
Artificial Intelligence and Society
A European Dialog on the Platform Economy, European Trade Union Institute and Partners, Brussels
Daemo, A Self Goverining Crowdsourcing Market
TEDx, BeaconStreet, Boston
The Future of Markets in the Era of Artificial Intelligence Link
International Conference on Computational Social Science, Germany
Crowdcomputing and Citizen Science for Large-Scale Experiments
Xerox Research, Webster, NY
The Science of Human Computation
► Web
Neil S. Gaikwad
Twitter neilsgaikwad
Ecological Arts Explore the Planet Earth