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Hans Vernooij is a Lecturer in Farm Animal Health at the Faculty of Veterinary Medicine, Utrecht University. He specializes in statistical methods and data science applications in veterinary epidemiology and animal health. His areas of expertise include: Statistical methods for veterinary research Applied Data Science in Life Sciences Epidemiological modeling Machine learning applications in animal health Vernooij has extensive experience in developing statistical models for animal health applications. His research focuses on applying advanced statistical techniques and data science methods to solve problems in veterinary epidemiology and farm animal health. He has particular expertise in Random Forest models, as demonstrated during his sabbatical at the Human Sciences Research Council in Pretoria where he developed a model for HIV status prediction based on demographic information and knowledge of HIV prevention from large-scale survey data. His publication record shows consistent contributions across veterinary epidemiology, with recent work emphasizing machine learning applications and big data analytics in animal health surveillance. The research demonstrates a clear trajectory from traditional statistical methods toward more advanced data science approaches. Vernooij is actively involved in teaching and mentoring: Teaches statistics to Bachelor students at the veterinary faculty Supports PhD candidates and Master students during data analysis phases of their research Provides statistics education for the Master of Epidemiology program at the Julius Centre of University Medical Centre

• Statistics
• Applied Data Science
• Veterinary Epidemiology
• +2 more

Dr. Harm Bartholomeus is an Assistant Professor of Remote Sensing at the Department of Geo-information Science and Remote Sensing, Wageningen University & Research. He received his MSc in Physical Geography (2000) and a Geography teaching degree (2001) from Utrecht University. His career includes part-time PhD research (2004–2009) on soil property estimation via spectral measurements and vegetation influence. Since 2009, he has focused on remote sensing techniques like imaging spectroscopy, LiDAR, and UAV-based methods applied to forestry, soil science, and climate studies. In 2012, he co-founded the Wageningen UR Unmanned Aerial Remote Sensing Facility (UARSF), advancing UAV research in environmental studies. His expertise spans Ecology, Geographical Information Systems (GIS), Remote Sensing, Soil Science, Spectroscopy, and 3D analysis. He teaches courses such as Advanced Earth Observation, Remote Sensing and GIS Integration, and MSc thesis supervision in Geo-information Science and Remote Sensing. His work integrates cutting-edge technologies for environmental monitoring, including terrestrial laser scanning and drone-based sensing. Research interests include vegetation-soil interactions, UAV applications in agriculture and ecology, and climate resilience. He collaborates on projects like the UARSF and contributes to global initiatives like the IDEAS-QA4EO network. No scientific awards are explicitly mentioned, but his contributions to UAV and LiDAR methodologies are widely recognized. He advises MSc students on thesis and internship projects in remote sensing and geo-information science.

• Remote Sensing
• GIS
• Ecology
• +6 more

Dr. Ulan Turdukulov is a researcher at ISRIC - World Soil Information , specializing in soil informatics and geospatial data systems. He contributes to global soil mapping initiatives like SoilGrids and develops data interoperability frameworks for agricultural sustainability. Key Projects: Land, Soil and Crop Information Services (2022), CocoaSoils (2018) Research Themes: Soil function assessment, climate-smart agriculture, geospatial modeling, and agricultural data systems His work focuses on creating standardized soil data platforms (e.g., SoilGrids250m) to support international agricultural projects. He has presented at global conferences and contributed to datasets on soil water content and nutrient mapping.

• Soil Science
• Climate Smart Agriculture
• Data Interoperability
• +3 more

V. Linderhof is a researcher at Wageningen Economic Research , focusing on biodiversity conservation, food systems transformation, and environmental policy analysis. Active in EU-funded projects like NEXOGENESIS and MINDVAL, they combine spatial modeling, socioeconomic data, and nature-based solutions to address global sustainability challenges. Current projects: Stewardship Economy, Climate-Resilient Food Systems, Nitrogen Reduction Policy Evaluation Research domains: Environment & Agriculture, Natural Resource Management, Urban Food Security Their recent work examines biodiversity-water-food-energy-climate nexus dynamics, circular economy strategies, and dietary equity through system dynamics and geospatial approaches. Key contributions include frameworks for policy effectiveness assessment and participatory modeling in Sub-Saharan Africa. Publications reflect interdisciplinary methodological innovations spanning: Machine learning for environmental uncertainty analysis Mobile data collection in urban Uganda Nature-based adaptation pathways Economic valuation of biodiversity Policy integration frameworks As a lead project coordinator, Linderhof bridges academic research with practical implementation through: Collaborative workshops with stakeholders Interactive policy simulation tools Media engagement on biodiversity challenges Open-access dataset development (e.g., SIM4NEXUS baseline data)

• Food Systems
• Biodiversity Conservation
• Environmental Impact Assessment
• +6 more

Dr. Gabriela Matias de Pinho is an Assistant Professor at the Copernicus Institute of Sustainable Development , Utrecht University. Her research integrates Nutritional Sciences , Epidemiology , and Environmental Health to address the intersection of food systems, urban environments, and chronic disease prevention. Key Projects: EXPANSE (Environmental Health, Urban Foodscapes) EXPOSOME-NL (Environmental Exposome Research) Research Themes: Food environments, ultra-processed foods, sustainable diets, cardiovascular health, urban-rural disparities Publication Trends (2018-2025): 33+ peer-reviewed articles in journals like The Lancet Regional Health , International Journal of Cancer , and Public Health Nutrition , with a focus on epidemiological methods , spatial analysis , and policy evaluation . Editorial Contributions: Served as Editor for Public Health Nutrition journal (2023). Teaching Philosophy emphasizes student-led learning and educational initiatives that empower future citizens to drive sustainable food system transitions.

• Nutritional Sciences
• Epidemiology
• Environmental Health
• +5 more

Caroline Margaux Gevaert serves as Associate Professor in the Department of Geo-information Processing at the University of Twente's Faculty of Geo-Information Science and Earth Observation (ITC), while also holding an appointment at the Digital Society Institute. Her academic career spans geospatial information systems, remote sensing, and the ethical applications of AI in geographical contexts. Dr. Gevaert earned her PhD in Informal Settlement Mapping with Unmanned Aerial Vehicles from the Faculty of Geo-Information Science and Earth Observation (ITC) in 2018, following Master's degrees in Geospatial Information Systems from Lund University (2014) and Remote Sensing from Universitat de Valencia (2013), and a Bachelor's in International Land and Water Management from Wageningen University & Research (2011). Her research focuses on the intersection of artificial intelligence and geospatial science, with particular emphasis on ethical dimensions of AI, algorithmic fairness in geo-intelligence workflows, and applications of machine learning for environmental monitoring. She has developed expertise in UAV applications for informal settlement mapping and flood vulnerability assessment, bridging technical innovation with societal impact. Analysis of her recent publications reveals a strong trend toward addressing ethical challenges in geospatial AI, with increasing focus on algorithmic fairness, explainable AI systems, and accountability frameworks. Her work demonstrates a consistent evolution from technical remote sensing applications toward socio-technical systems that consider both technological capabilities and societal implications. PhD Cum Laude (2018) Professor J.M. Tienstra Onderzoeksprijs 2020 Student Paper Competition Finalist (2017) Dr. Gevaert serves as Chair of De Jonge Akademie (2022-2027) and the International Society for Digital Earth (ISDE), while participating in the Frontier Technology Livestreaming Programme. Her external engagement includes consultancy for the World Bank and presentations on accountability in digital humanitarianism, demonstrating her commitment to applying geospatial intelligence for global development challenges. Her research activities center around geo-intelligence workflows, with particular focus on developing accountable and fair AI systems for spatial analysis. Current projects investigate causality frameworks for bias detection in flood vulnerability assessments and explainable workflows for ecological monitoring, positioning her at the forefront of ethical geospatial AI research.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +7 more

Folkert Boersma is an Associate Professor specializing in Air Quality at the Royal Netherlands Meteorological Institute (KNMI). His research focuses on atmospheric chemistry, satellite remote sensing, and emissions monitoring. He leads projects analyzing nitrogen dioxide (NO₂) and NOx emissions, leveraging advanced satellite data such as TROPOMI and GOME-2A. His work addresses environmental challenges like maritime pollution and urban emission variability, contributing to emissions control strategies and climate modeling. Key research interests include: Space-based emission estimation techniques Remote sensing of air pollutants Climate-ecosystem interactions via satellite data Quantification of uncertainties in atmospheric models He supervises multiple PhD candidates on topics ranging from satellite data validation to ozone deposition impacts on ecosystems. Notable collaborations include studies in China and projects assessing shipping emissions. His datasets, such as ESA CCI+ NO₂ TROPOMI level-3, are widely used in environmental research.

• Air Quality Monitoring
• Atmospheric Chemistry
• Remote Sensing
• +3 more

Peter J.H.J. van der Waerden is a University Lecturer in the Department of Urban Planning and Transportation at Eindhoven University of Technology. His work focuses on sustainable urban mobility systems, transportation modeling, and public transport efficiency. He has been involved in projects such as the Urban Mobility Changemaker initiative (2022-2022) and OSCAR, exploring off-street parking solutions for carsharing. His research integrates choice experiments, spatial analysis, and environmental impact assessments to address urban challenges. Van der Waerden has contributed to over 191 research outputs, including articles on light-rail transit environmental effects, cycling infrastructure innovations, and climate change adaptation strategies. He teaches courses like Big Data for Urban Analysis and Geographic Modeling, emphasizing data-driven approaches to urban development. His datasets include drone-based spatial analyses for 3D urban modeling. Recent work explores participatory urban planning methods and citizen engagement in climate resilience initiatives. He actively participates in peer-review activities for journals like the Journal of Public Transportation and Journal of Cycling and Micromobility Research. Collaborations span institutions globally, addressing topics like parking system compliance, intersection design for cyclists, and multi-state supernetwork analysis for transport systems.

• Transportation Planning
• Urban Mobility
• Transportation Economics
• +3 more

Yue Dou is an Assistant Professor in the Department of Natural Resources, focusing on sustainability, land-use dynamics, and food systems. His research addresses UN Sustainable Development Goals, particularly sustainability and food security. He employs advanced modeling techniques and remote sensing to analyze complex socio-ecological systems, emphasizing global-local interactions in agriculture and resource management. Key research interests include crop mapping accuracy in smallholder regions, food value-chain impacts on land use, and resilience in local food systems. His work integrates geospatial data, agent-based modeling, and systems analysis to explore biodiversity conservation, telecoupled systems, and policy implications for sustainable development. Collaborations span global institutions, with recent studies on Jordan’s water-energy-food nexus and Rwanda’s food security monitoring. His publications highlight innovative methods for estimating regional food flows and assessing cropland stability in China. Yue Dou’s contributions address pressing challenges in sustainable land use, agricultural economics, and environmental policy, leveraging interdisciplinary approaches to bridge ecological and socio-economic dimensions.

• Sustainability
• Land Use
• Agricultural Economics
• +3 more

Julian Ramirez-Villegas is a Special Professor on Agricultural Climate Change Impacts and Adaptation at Wageningen University's Plant Production Systems group and a Principal Scientist/Leader of Data Science for Climate Action at CGIAR (Rome). He holds a PhD from the University of Leeds (UK). His research focuses on climate adaptation in farming systems, particularly in low/middle-income countries, with over 60 peer-reviewed publications in journals like PNAS and Nature. Recognized by the United Nations for climate adaptation work, he leads a team of researchers specializing in agricultural modeling, climate services, and socio-economic analysis. At Wageningen, his key research questions address adaptation effectiveness, interplay between adaptation forms (coping/systems change/transformation), and trade-offs between adaptation/mitigation in tropical systems. His work bridges academic research with global policy, emphasizing data-driven solutions for climate-resilient agriculture. Publications highlight innovative approaches in climate data modeling (e.g., CMIP5 projections, EcoCrop model applications), biodiversity conservation strategies, and policy frameworks for climate-smart agriculture. He collaborates widely with CGIAR centers and international organizations to translate research into actionable climate adaptation strategies.

• Agricultural Climate Change Adaptation
• Farming Systems Resilience
• Climate Modeling
• +3 more

Tibor Stigter is a Senior Lecturer in Hydrogeology and Groundwater Resources at IHE Delft Institute for Water Education since 2013. He holds an MSc from Vrije Universiteit Amsterdam (1997) and a PhD from Instituto Superior Técnico - Universidade Técnica de Lisboa (2005). His expertise spans groundwater hydrology, climate change impacts, and sustainable water management. He coordinates the Erasmus+ Mundus Joint Master Programme in Groundwater and Global Change, and teaches modules such as Groundwater Data Collection and Interpretation. His research focuses on transboundary aquifers, coastal groundwater vulnerability, and interdisciplinary approaches to water governance. Key projects include CLIMWAT (climate change impacts on coastal aquifers) and ADMICCO (adaptation in vulnerable cities). He has supervised over 25 students and contributed to global initiatives like the AQUIFERURAL network. His work bridges science and policy, addressing challenges in semi-arid regions and developing nations. Education: MSc (VU Amsterdam), PhD (IST-UTL) Research Areas: Groundwater sustainability, agricultural impacts, transboundary water resources Notable Projects: CLIMWAT, ADMICCO, ESCACES (Colombia) Teaching Roles: Master’s Programme Coordinator, Fieldwork Training Leader Publications emphasize climate change adaptation, saltwater intrusion, and groundwater management strategies. He collaborates internationally, with fieldwork in Mozambique, Vietnam, Colombia, and Kenya.

• Groundwater Hydrology
• Climate Change Impacts
• Sustainable Groundwater Management
• +4 more

Dr. Titia Mulder is an Associate Professor in Digital Soil Science at the Soil Geography and Landscape group, Wageningen University, The Netherlands. She specializes in spatial and temporal modeling of soil-landscape systems and soil sensing techniques for monitoring soil functions. Her work focuses on large-extent soil dynamics, ecosystem health, and sustainable land use practices. She chairs the IUSS Pedometrics Commission (2018–2022) and serves as an associate editor for European Journal of Soil Science and Frontiers in Soil Science . Her research integrates remote sensing, spatial statistics, and spectroscopy to address environmental challenges like climate change and biodiversity loss. She leads European and national projects on soil mapping and soil health monitoring. Key areas of expertise include soil-landscape relationships, sensor-based soil monitoring, and machine learning applications in environmental data analysis. Mulder teaches courses on spatial analysis for earth sciences ( GRS33306 ), environmental data collection ( YWU30806 ), and soil inventory techniques ( SGL30306 ). She supervises MSc internships and thesis projects in soil geography and landscape studies through modules like SGL70224 , SGL79224 , and SGL80436 . Her work emphasizes societal impact through sustainable practices, providing actionable insights for policy makers and stakeholders to combat environmental crises and ensure food security. She collaborates internationally on projects promoting soil carbon sequestration and ecosystem resilience.

• Remote Sensing
• Sensors
• Soil Carbon Sequestration
• +7 more

Andre Da Silva Mano is a Lecturer at the University of Twente, affiliated with the Department of Urban and Regional Planning and Geo-Information Management and the Digital Society Institute. His academic roles include teaching and research in geographic information systems (GIS), urban planning, and land administration. He holds a position in the Faculty of Geo-Information Science and Earth Observation, focusing on integrating open-source technologies and sustainable development frameworks. His research expertise spans land administration systems (LADM), open-source GIS applications, and spatial data infrastructure. Notable projects include developing educational datasets for teaching LADM standards (ISO 19512) and creating open courseware for GIS and remote sensing education. He has collaborated internationally on initiatives such as IDeaMapSudan, which models urban poverty through geospatial data, and the Spatial Development Framework (SDF) tools for policy implementation. Recent work includes studies on mitigating urban heat islands using 3D digital twins, geospatial modeling for humanitarian response, and paleontological collection management using open-source tools. He actively promotes open science principles, as reflected in ITC’s strategic plan and his advocacy for open-source software as an ethical practice. Key contributions also involve frameworks for responsible land reallocation in customary settings and child-centered urban planning methodologies. Activities: Delivered invited talks on open-source software philosophy and presented research at conferences like the International Federation of Surveyors (FIG). Datasets: Creator of open-access resources like 'andremano/online-core' and 'GIS-4-Land-Administration' available on Zenodo. Labs/Teams: Engaged with interdisciplinary teams in urban resilience, digital humanities, and geospatial education initiatives.

• Geographic Information Systems (GIS)
• Urban Planning
• Land Administration
• +5 more

Dr. Michiel van Meeteren is an Assistant Professor in Human Geography and Spatial Planning at Utrecht University's Faculty of Geosciences. His research focuses on the historical and contemporary evolution of geographic thought, urban systems, and interdisciplinary approaches in geography. He holds a PhD and specializes in bridging social sciences, natural sciences, and humanities through geographical perspectives. Research interests include the future of geography as an interdisciplinary field, digital transformation in urban studies, and the role of geography in addressing climate change, technological development, and urbanization. His work emphasizes overcoming internal boundaries between human and physical geography to address global challenges. Publications (2019-2022) explore topics like global labor division, digital transformation in services, urban centrality theories, and historical analyses of Dutch applied geography. His recent work highlights urban network analysis and the advanced producer services complex in financial geographies. Scientific Awards: RSAI Best Dissertation in Regional Science (2016) Teaching involves courses on global urban transformations, research design, and key thinkers in geography. He advises on master thesis proposals and contributes to initiatives like PtS - Transforming Cities.

• Human Geography
• Economic Geography
• Urban Geography
• +6 more

Frank van der Hoeven is Director of Research at the Faculty of Architecture and the Built Environment and Open Science programme manager at TU Delft. He specializes in urban underground space, climate adaptation, and multi-functional land use. His work addresses sustainable mobility, high-rise development, and urban heat island mitigation. Research focuses on Dutch urban challenges including heritage conservation, remote sensing applications, and creative industry policy. He serves on boards of the Dutch Tall Building Council and Royal Netherlands Archaeological Society (KNOB). Key contributions include methodologies for urban heat mapping (e.g., Rotterdam/Hague studies) and frameworks for railway station area design evaluation using agent-based simulations. Over 145 research outputs include books, journal articles, and datasets on urban climate resilience. Active in academic governance, he oversees open access policies and collaborates internationally on sustainability initiatives. Media engagements discuss urban heat adaptation and Dutch spatial planning strategies.

• Urban Design
• Urban Underground Space
• Sustainable Mobility
• +7 more