Neil Gaikwad, a doctoral student at the Space Enabled research group, has been chosen for the 2019 INK Fellowship Program for Emerging Innovators. Every year, INK identifies 20 young achievers who are redefining their fields of work or the world around them. This year INK selected its 20 fellows from over 900 candidates around the world.
Neil specializes in human-centered machine learning and public policy for sustainable development. He designs and develops socially-aware Artificial Intelligence for sustainable development, with a focus on increasing social equity in policymaking and institutions, analyzing large-scale data emerging from environmental remote sensing satellites and socio-economic processes.
Neil's current research focuses on human-centered machine learning and evidence-based policymaking to improve social equity and efficiency of markets in food-and humanitarian systems. He is developing Global Farm Pulse, a human-centered machine learning system, to estimate the adverse impact of environmental processes (such as climate extremes) and institutional structures at regional and global scales. Drawing upon this understanding, he has been designing market mechanisms and organizational models to support vulnerable communities, unorganized labor force, and policymakers to alleviate the consequence of climate risks and economic breakdowns. This work investigates the complexity of cultures, colonial-histories, and economic contexts that impact the design, implementation, and performance of machine learning systems. He works with Professor Danielle Wood, the director of the Space Enabled research group.