Dr. Jonathan Bright is a Senior Research Fellow and Associate Professor at the Oxford Internet Institute, University of Oxford , specializing in computational approaches to the social and political sciences. His research explores how digital technologies reshape political participation and how new data sources enhance governmental decision-making. Research Interests: Focused on social media, political behavior, computational social science, and big data , Bright’s work addresses digital governance, algorithmic bureaucracy, and the dynamics of political fragmentation online. His empirical studies span open government data usage, crowdsourced geographical information, and the impact of neighborhood effects on data completeness. Scientific Contributions: Leading studies on algorithmic governance in UK local authorities (2020) Investigating geodemographic biases in crowdsourced platforms like OpenStreetMap (2018) Mapping political fragmentation in social media ecosystems (2018) Grants & Collaborations: Funded by UK taxpayers, ESRC, and Google, his work intersects with projects on vaccine misinformation, hate speech monitoring, and digital economies. Formerly held positions as Research Fellow and Research Associate at OII from 2013 to present.
Martin Jakobsson is a Professor of Marine Geology and Geophysics at Stockholm University's Department of Geological Sciences. His career spans international research expeditions and leadership roles, including Dean of Earth Science (2021) and Head of Department (2012-2018). A key member of the Marine Geology group, he studies Arctic and Antarctic glacial history through sediment analysis and seafloor mapping. PhD from Stockholm University (2000) Academy Fellow, Royal Swedish Academy of Sciences (2004-2009) Professor II position at University Centre of Svalbard (2011-) His research focuses on marine geological archives to reconstruct glacial cycles, ice-ocean interactions, and bathymetric mapping. As GEBCO Vice-Chair (2013-2020), he led initiatives for global seabed mapping through the Seabed 2030 project. Recent publications reveal expertise in: Arctic Ocean paleocirculation Methane release from thawing permafrost Ice sheet sensitivity to oceanic warming High-resolution bathymetric analysis Scientific recognition includes: Election to Royal Swedish Academy of Sciences (2012) 1st Vice President, Royal Swedish Academy of Sciences (2016-2019) Membership in Norwegian Scientific Academy for Polar Research (2016) He leads international collaborations on polar research vessels, with over a year of cumulative ship time and multiple Co-Chief Scientist roles on Arctic expeditions.
Tobias Bolch is a full Professor at the Institute of Geodesy, Graz University of Technology (TU Graz), Austria, specializing in cryospheric research with a focus on High Mountain Asia and the Tibetan Plateau. His work integrates advanced geodetic and remote sensing methodologies to address critical climate change impacts on glaciers and related systems. His research spans: Glacier dynamics and mass balance monitoring using InSAR and optical satellite data Rock glacier kinematics and permafrost interactions Glacial lake evolution and outburst flood hazards Climate-glacier-hydrology linkages in Central Asian river basins Long-term cryosphere reconstruction using historical satellite archives Analysis of his 2023-2025 publications reveals dominant trends in quantifying ice loss acceleration, particularly from lake-terminating glaciers, and the application of multi-sensor approaches (Sentinel, ASTER, UAV) for decadal-scale change detection. His work consistently emphasizes the hydrological consequences of glacier retreat for downstream water security across High Mountain Asia. No scientific awards or specific grant programs were documented in the provided materials. While student supervision details are absent, his position at TU Graz's Institute of Geodesy indicates active mentorship within geospatial and cryospheric research programs. His homepage (https://ifg.tugraz.at) serves as the primary hub for research dissemination through the university's PURE portal.
Dr Olly Bartlett is a Senior Lecturer in Remote Sensing and Geography at the University of Hertfordshire , affiliated with the Department of Psychology, Sport and Geography within the School of Life and Medical Sciences. His work focuses on planetary-scale remote sensing analysis of the cryosphere, with field campaigns in Greenland, Nepal, Svalbard, and the Peruvian Andes. Education: PhD in Physical Geography (University of Exeter, 2020); MSc in Polar and Alpine Change (University of Sheffield, 2016); BSc in Physical Geography (University of Sheffield, 2015) Dr Bartlett specializes in UAV-based remote sensing and Google Earth Engine , holding a UK GVC for UAV operations. His research tracks environmental changes in polar and alpine regions, including quantifying Antarctic Peninsula greening (1986–2021) and glacier dynamics in the Himalayas and Canadian Arctic. Recent publications highlight his methodological innovations in radar surveying and supraglacial hummock morphology studies. His work bridges glaciology and geospatial analysis , focusing on climate-induced glacial retreat impacts. He supervises PhD student Lottie Pearson on pan-Arctic permafrost thaw projects and collaborates internationally on cryospheric studies.
James A. Evans is a Professor at the University of Chicago, where he serves as Director of the Knowledge Lab and Faculty Director of the Masters Program in Computational Social Science. He is also an External Professor at the Santa Fe Institute. His research bridges computational methods with social theory to analyze collective cognition, innovation, and knowledge production across science, technology, and broader societal domains. Director, Knowledge Lab Faculty Director, Masters Program in Computational Social Science External Professor, Santa Fe Institute Evans’s research explores how social and technical institutions shape discovery processes, utilizing machine learning, network modeling, and large-scale data analysis. His work spans fields like computational social science, sociology of science, and data science, focusing on team dynamics, peer review, and the global structure of scholarship. His recent publications examine team size effects on innovation, discursive influence in academia, and the interplay between tradition and novelty in research strategies. Articles trend toward interdisciplinary approaches combining social theory, computational methods, and science policy. Evans supports novel observatories for human understanding through crowdsourcing, sensor networks, and semantic modeling. He has received funding from the National Science Foundation, National Institutes of Health, and Air Force Office of Scientific Research, with findings featured in major media outlets like Nature , Science , and The New York Times .
Axel Dreher is Professor of International and Development Politics at Heidelberg University’s Alfred-Weber-Institute for Economics. He is a leading scholar in political economy and development economics, with extensive affiliations including the German National Academy of Sciences Leopoldina, CEPR, CESifo, KOF, AidData, and EUDN. He serves as Editor of the Review of International Organizations and Co-Director of the Center for European Studies (CefES) at the University of Milan-Bicocca. Ruprecht-Karls-University Heidelberg (2011–Present) Georg-August University Göttingen (2008–2011) ETH Zurich (2005–2008) University of Konstanz (2004–2005) University of Exeter (2003–2004) University of Mannheim (2000–2003) His research centers on political economy , economic development , foreign aid , and globalization . He investigates how political institutions, leadership incentives, and geopolitical interests shape development outcomes and international financial flows. His work often employs empirical and geospatial methods to analyze aid allocation, corruption, migration, and the rise of emerging donors like China. The 15 most recent publications reflect a strong focus on China’s overseas development finance , regional favoritism , and the political determinants of aid . Keywords span political economy, development economics, and international relations, with subfields including Chinese foreign aid, geospatial analysis, governance, institutional quality, and South-South cooperation. His recent book Banking on Beijing and award-winning paper Wedded to Prosperity exemplify his cutting-edge contributions to understanding the political economy of development. Scientific awards include: 2023 Best Paper Award, Political Economy of Aid Society (PEAS) 2023 Best New Dataset Award, International Political Economy Society International Geneva (IG) Award 2020 Excellence in Refereeing Award, World Bank Economic Review (2019) 2010 KfW Excellence Award for policy-relevant research Multiple DFG and Swiss research grants Dreher has advised over 30 PhD students on topics ranging from aid effectiveness to political violence and migration. He has received major research grants from the German Research Foundation (DFG), Swiss Network for International Studies (SNIS), European Commission, and VolkswagenStiftung. His leadership roles include organizing the annual Political Economy of International Organizations conference series and serving on editorial boards of top journals such as World Development and Defence and Peace Economics . He is actively involved in academic labs and research networks including the Courant Research Center on Poverty and Equity at Göttingen, AidData at William & Mary, and the Center for European Studies (CefES). His current work continues to explore the intersection of politics, development, and globalization, particularly through georeferenced data and natural experiments.
Professor Sara B. Pritchard is a leading scholar in environmental science and technology studies (STS) at Cornell University's College of Arts and Sciences. She holds a Ph.D., M.A., and B.A. in History from Stanford University and University of Puget Sound. Her research critically examines light pollution, environmental ethics, and the intersection of technology and nature. Pritchard has received grants from the National Science Foundation and Cornell's Atkinson Center for a Sustainable Future, among others. Her major works include Night as Environment: Light Pollution and the Anthropocene (2024) and Confluence: The Nature of Technology and the Remaking of the Rhône (2011). She co-edited influential volumes such as New Natures: Joining Environmental History with Science and Technology Studies (2013) and pioneered the concept of 'envirotechnical analysis.' Pritchard advises students across disciplines including Anthropology, Asian Studies, and Natural Resources. Her research explores dark histories, nuclear disasters, and sustainable energy transitions. She collaborates with global scholars through special journal issues on topics like climate justice and polar night studies. Pritchard’s work bridges environmental humanities with technological critique, emphasizing interdisciplinary approaches to urgent ecological challenges.
Mike Willis is an Associate Professor of Cryospheric Science, Geodesy & Remote Sensing at the Department of Geosciences, Virginia Tech's College of Science. His research focuses on advancing remote sensing techniques to study Earth's cryosphere, coastal environments, and natural hazards. He leads projects on glacial dynamics, sea level rise impacts, landslide monitoring, and the application of GNSS and InSAR technologies. His work combines field instrumentation (e.g., OrangePi-GNSS systems) with satellite data analysis to address climate and geohazard challenges in polar regions and coastal communities. Education background: Not explicitly stated in provided text. Research interests include cryospheric science, geodetic monitoring, and environmental remote sensing applications. His lab group maintains a dedicated website at https://sites.google.com/view/4datvt/ . Key research themes include: Glacier and ice shelf mass balance Coastal vulnerability to sea level rise Disaster monitoring using GNSS-IR and InSAR High-resolution digital terrain modeling Recent projects highlight work in Greenland (landslide monitoring, sea level measurements), the Pacific Northwest (subduction zone hazards), and the Dominican Republic (coastal inundation modeling). His interdisciplinary approach bridges geophysical observations with computational geospatial analysis.
Dr James Herbert-Read is an Associate Professor and Whitten Lecturer in Marine Biology at the Department of Zoology, University of Cambridge. He serves as Deputy Head of Department (Postgraduate Education) and leads the Marine Behavioural Ecology Group. His research focuses on understanding how animals, particularly marine organisms, collect and process information from their environments to make behavioral decisions, with emphasis on social interactions, adaptation mechanisms, and ecological constraints. His group employs theoretical frameworks, controlled experiments, and quantitative field studies to investigate behavioral diversity in marine species. Key themes include collective behavior, predator-prey dynamics, camouflage strategies, and the impacts of environmental stressors on animal decision-making. Recent publications highlight work on lionfish vocalization mechanisms, cuttlefish camouflage, citizen science applications in marine research, and behavioral responses to visual and acoustic noise. Scientific awards and affiliations include: Whitten Lecturer in Marine Biology Associate Professor, University of Cambridge He has supervised research projects on topics such as: Social attraction in invasive fish species Evolution of coordinated movement Neurophysiological basis for leadership in shoals Maternal effects on offspring exploration
Shashi Shekhar is a Professor at the University of Minnesota, holding the distinguished titles of McKnight Distinguished University Professor and Distinguished University Teaching Professor. He serves as the ADC/CSE Chair and Director of the AI-LEAF Institute within the Department of Computer Science at the College of Science and Engineering. His research interests span multiple areas of spatial computing including spatial data science, spatial data mining, spatial databases, Geo-AI, and Geographic Information Systems (GIS). His work has focused on developing scalable algorithms for eco-routing, evacuation route planning, and spatial pattern mining. He has made significant contributions to the field through his Spatial Databases textbook, the Encyclopedia of GIS which has seen over 192,918 downloads in 2017, and a spatial computing book for professionals. His research group has produced numerous PhD graduates dating back to 1993 through 2023. Analysis of his recent publications reveals a strong focus on applying spatial computing to critical societal challenges including climate change mitigation through the AI-LEAF Institute, pandemic response through mobility data analysis, and sustainable transportation through eco-routing algorithms. His work bridges theoretical advances in spatial data science with practical applications in urban planning, emergency management, and environmental sustainability. Distinguished McKnight University Professor Distinguished University Teaching Professor UCGIS Education Award (2015) Graduate Education Award (2015) President of University Consortium for GIS (2017-2018) Computing Research Association Board Member (2016-2019) Professor Shekhar has advised over 30 PhD students since 1993, with his most recent graduate in 2023. He has secured significant research funding including a $20 million AI Institute grant focused on climate-smart agriculture and forestry. His Spatial Computing Research Group maintains active collaborations with government agencies and industry partners. The group has developed practical applications featured in media outlets including FoxTV coverage of evacuation route planning algorithms. Current research directions include applying AI techniques to address climate challenges through the AI-LEAF Institute and advancing spatial data science for polar regions through NSF-funded initiatives.
Ben Seiyon Lee is an Assistant Professor in the Department of Statistics at George Mason University's College of Science. His work bridges computational statistics, climate modeling, and environmental risk assessment. Education: PhD in Statistics, Pennsylvania State University (2020) Lee specializes in computational methods for high-dimensional spatiotemporal data and uncertainty quantification in climate models. His research explores climate change impacts on extreme hydrological events, wildfire emissions, and medical decision-making. Recent publications focus on Bayesian spatiotemporal frameworks for extreme precipitation analysis, zero-inflated spatial models, and multisector uncertainty quantification. His work addresses challenges in flood risk assessment, agricultural yield projections, and healthcare compliance metrics.
David Wettergreen is a Research Professor at the Robotics Institute within Carnegie Mellon University's School of Computer Science , where he has been a faculty member since 2000. He directs the PhD Program in Robotics and holds a courtesy appointment in Mechanical Engineering. His research focuses on robotic exploration systems for extreme environments, spanning planetary surfaces, underwater caves, and terrestrial deserts. Key areas include autonomous navigation , science autonomy , multi-modal perception , and resource-cognizant planning . Field validation drives his work, with deployments in the Atacama Desert, Antarctic volcanoes, and lunar analog sites. Co-founder of Mesh Robotics LLC for off-road autonomy Former Research Fellow at Australian National University Former National Research Council Research Associate at NASA Ames Research Center His 15 most recent publications (2023-2025) demonstrate expertise in autonomous path planning , machine learning applications , terrain modeling , and science-driven exploration . Collaborations span planetary science, environmental monitoring, and space systems engineering. He has advised 17 PhD and 33 MS students , many of whom now work in space exploration or field robotics, and teaches courses in Robotics Systems Engineering . Current projects include the MoonRanger lunar micro-rover and technologies for autonomous resource mapping .
Onur Varol is an Assistant Professor at Sabanci University's Computer Science Department and leads the VIRAL Lab, which focuses on computational social science, network science, and machine learning. He has affiliations with the Center of Excellence for Data Analytics. His research spans social bot detection, misinformation analysis, and online behavior modeling.
Mark S. Handcock is a Distinguished Professor in the Department of Statistics and Data Science at the University of California, Los Angeles (UCLA), where he leads research at the intersection of statistical methodology and applied problems in social sciences, epidemiology, and environmental science. His work bridges theoretical statistics with real-world challenges through innovative methodological development. His primary research interests encompass statistical models for social networks, network inference, methodology for hard-to-reach population surveys, spatial processes, demography, and environmetrics. Handcock has pioneered advances in exponential-family random graph models (ERGMs) and developed foundational R packages like ergm and tergm within the statnet suite, enabling sophisticated network analysis across disciplines. Analysis of his recent publications (2023-2025) reveals three dominant research thrusts: (1) Antarctic sea ice modeling using Bayesian reconstruction and temporal variability analysis, (2) epidemiological modeling of infectious disease transmission dynamics (particularly COVID-19), and (3) methodological innovations in network inference and causal analysis over stochastic networks. His work consistently integrates advanced computational statistics with domain-specific applications in climate science, public health, and social systems.
Mike Wood is an Assistant Professor at the Moss Landing Marine Laboratories (MLML) with a joint appointment in the Department of Computer Science at San José State University (SJSU). His research focuses on ice-ocean-biology interactions and sea level rise dynamics related to the Greenland Ice Sheet, utilizing satellite observations, numerical ocean models, and in situ measurements. He leads the Computational Oceanography lab at MLML. Research Themes : Ice-ocean interactions, climate change impacts on polar regions, satellite remote sensing, and computational modeling. Academic Affiliation : MLML (Computational Oceanography) and SJSU Computer Science Department. Methodologies : Numerical modeling, satellite data analysis, and field observations in Greenlandic fjords. His recent publications reveal a focus on Greenland glacial meltwater dynamics, fjord-scale oceanography, and bathymetric mapping. Mike enjoys surfing and climbing when not engaged in academic work.
