Analytics for a Better World Fellowship – Cohort I

Dick den Hertog is Science to Impact Director at ABW, focusing on the academic journal, meet-ups, research projects and the academy.

Dimitris Bertsimas is Science to Impact Director at ABW, focusing on the academic journal, meet-ups, research projects and the academy.

Priyank Hirani is the Associate Director for the Capacity Accelerator Network (CAN) at data.org, where he strategizes and implements initiatives to democratize data skills and enable social impact organizations to be data-driven. Priyank is responsible for distilling a network-of-networks model for data.org to cultivate 1 million purpose-driven data professionals by 2032 globally. He currently leads the design and deployment of data capacity accelerators, starting with hubs in the United States, sub-Saharan Africa, and India. He brings diverse experiences across continents from the fields of water, health, energy, space science, technology, and climate change to this role.

Lokendra Chauhan is a GeoAI practitioner and technology policy enthusiast based in Minneapolis in the US. He is currently working on using crowdsourced geospatial data and GeoAI algorithms to solve real-world problems. He is a graduate of IIT Bombay (2003) and Georgia Tech, Atlanta (2007). Previously, he has worked with IIT Bombay, International Finance Corporation (IFC), Grassroots Business Fund, and the Qatar Foundation. Lokendra invests and advises startups and social enterprises commercializing research (primarily AI). He has authored documents like Qatar's national AI strategy, a global study of GeoAI applications and AI policies, and academic papers on GeoAI and AI policy.

Parvathy Krishnan is the Chief Technology Officer at ABW and focuses on impact projects, technology strategy, and the open-source data products’ repository.

Joaquim Gromicho is Science and Education Officer at ORTEC and Professor of Business Analytics at the University of Amsterdam. At ABW, he is contributing to Research projects as a PhD/MSc supervisor, as a lecturer in the ABW Academy and in advanced analytics projects as the Lead Architect, specializing in prescriptions from large scale data driven mathematical optimization models.

Claudia is a scientist and engineer whose work leverages the power of machine learning, natural language processing, social network analysis, and opinion mining to unveil patterns of engagement, attention, and influence on the digital era.