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 develops data-driven human-AI collaboration algorithms and social computing systems for sustainable development, with a focus on increasing fairness and transparency in public policy decisions, analyzing large-scale datasets emerging from Earth remote sensing satellites and socio-economic processes.
Neil's current research focuses on enhancing fairness and transparency in policy decision making in global food and humanitarian systems. He is developing Global Farm Pulse, a human-centered machine learning system, to better understand the adverse impact of underlying physical processes and socio-economic policies on global food security under climate extremes. Drawing upon this understanding, he is designing equitable market mechanisms and policies to support vulnerable farmers and decision-makers to mitigate the consequence of meteorological disasters and socio-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.