Where open geospatial science meets the decentralized geospatial web!
The EASIER Data Initiative develops decentralized cyberinfrastructure for efficiently, accessibly, and sustainably onloading, analyzing, and extracting large amounts of geospatial data. Concerning onloading, we are building a generalizable pipeline for heterogeneous geospatial data ingress into the Filecoin and IPFS environment.
Taylor M. Oshan
Taylor is trained broadly as a geographic information scientist with interest in the full consumption lifecycle of geographic information from data creation, storage, dissemination, analysis, and decision-making. He obtained his PhD in Geographical Science from Arizona State University and is currently assistant professor at Department of Geographical Sciences at the University of Maryland, College Park.
Senior Geospatial Developer
As a Geospatial Developer, John combines GIS domain knowledge and full stack web development to create beautiful (and fast) applications. He studied GIS under thought leaders (Michael Goodchild, Waldo Tobler, Krzysztof Janowicz, and Dan Montello) while completing a B.A. in Geography at UC Santa Barbara and an M.S. in Geoinformatics and Geospatial Intelligence at George Mason University.
Zheng is a Post-Doctoral Associate in the project who is growing and applying his knowledge and experiences in the cyber-infrastructure, spatial data ETL process, and decentralized ecosystems. He received his Ph.D. in Geographical Sciences at the Department of Geographical Sciences at the University of Maryland, College Park in 2023 and obtained his BSc in Geographical Information Science and Mathematics from Peking University in 2017.
Jack is a Master of Quantitative Finance student at the Robert H. Smith School of Business and he graduated in 2021 from the University of Maryland with a Bachelor’s Degree in Mathematics. He is interested in exploring the economic and organizational implications of decentralized web technology on the geospatial data ecosystem. He also runs a consulting business, providing modeling and analytics services in token economics for web3 startups and companies.
Matthew is a undergraduate at the University of Maryland studying computer and information science. He has experience in developing client-side apps in both the Ethereum and Solana ecosystem. As a developer for the EASIER Data Initiative, he aims to explore decentralized storage and compute and how they can be used for data-intensive geospatial workflows.
Coordination and Marketing
Oluwatomisin is a University of Maryland graduate, having obtained a degree in Geographical Sciences with a specialization in GIS/Computer Cartography in 2017. With a professional background as a GIS / Data analyst, Oluwatomisin developed proficient skills in spatial analysis and data visualization. He has since leveraged his experience in marketing and project management across various sectors, including government, web3, and agency projects, enabling him to adeptly apply a unique fusion of analytical and creative expertise, resulting in highly impactful outcomes.