Prof. Dr. Ilse Aben is a Senior Scientist at SRON (Netherlands Institute for Space Research), Endowed Professor at Vrije Universiteit Amsterdam, and Co-Principal Investigator for TROPOMI (Tropospheric Monitoring Instrument onboard Sentinel-5P). Her expertise is in satellite remote sensing focusing on long lived greenhouse gases methane and carbon dioxide, and related species such as carbon monoxide. Her interest lies in measuring and understanding anthropogenic (and natural) emissions.
Dr. Michael F. Goodchild is Emeritus Professor of Geography at the University of California, Santa Barbara, where he also holds the title of Research Professor. He is also Distinguished Chair Professor at the Hong Kong Polytechnic University and Research Professor at Arizona State University, and holds many other affiliate, adjunct, and honorary positions at universities around the world. His research and teaching interests focus on issues in geographic information science, including uncertainty in geographic information, discrete global grids, and volunteered geographic information. He directed or co-directed several large funded projects, including the National Center for Geographic Information and Analysis, the Alexandria Digital Library, and the Center for Spatially Integrated Social Science.
Dr. Werner Kuhn is a researcher on Geoinformatics and Land Use Change in Brazil's National Institute for Space Research, where he was General Director (2006-2012). He is renowned for promoting free access to geospatial data and for setting up an efficient satellite monitoring of the Brazilian Amazon rainforest. He was Director of the Secretariat of the Group on Earth Observations (GEO) from July 2018 to June 2021. He is a Dr. Honoris Causa by the University of Münster (Germany), a Chevalier de la Ordre National du Mérite of France, and received the Pecora Award from USGS and NASA.
Dr. Iris Kramer is the Founder & CEO of ArchAI, she is an archaeologist turned computer scientist, she is the first person in the world to do a PhD in deep learning for the detection of archaeological sites on Earth Observation data. ArchAI prides herself in the automation and assessment of archaeological sites required by environmental impact assessments (EIAs) during the planning permission application process for construction projects within Europe. Their pre-trained AI models can assess thousands of images instantly, providing rapid, accurate feedback to developers and project planners.