Adam Bonica is an Associate Professor in the Department of Political Science at Stanford University . His research integrates data science and politics , focusing on money in politics , campaigns and elections , judicial politics , and political methodology . Research Interests : Data Science, Political Ideology, Campaign Finance, Judicial Polarization, Quantitative Modeling Contact : Encina Hall West, Room 307, Stanford, CA 94305-6044 | Email : bonica@stanford.edu | Phone : (650) 725-7987 His work has been published in leading journals such as the American Journal of Political Science , Political Analysis , Journal of Economic Perspectives , Journal of Law, Economics, and Organization , and JAMA Internal Medicine . Bonica co-authored The Judicial Tug of War , which explores the politicization of the American judiciary. He has developed comprehensive databases like DIME (Database on Ideology, Money in Politics, and Elections) to advance research on political ideology and campaign finance. Recent publications include analyses of ideological persuasion in U.S. elections, judicial reform dynamics, and supervised machine learning applications in political methodology. His research spans topics such as clerk hiring as ideological indicators , professional networks in fundraising , and polarization trends among physicians and legal professionals .
WooChul Jung is an Associate Professor at the Department of Materials Science and Engineering, Seoul National University (SNU), previously holding the same role at the Korea Advanced Institute of Science and Technology (KAIST) from 2018 to 2024. His research focuses on energy conversion and storage materials, particularly solid oxide fuel cells, electrolyzers, and catalytic systems involving ionic solids and gas interfaces. Ph.D. in Materials Science & Engineering from MIT (2010) B.S. in Materials Science & Engineering from SNU (2004) Research Interests: Investigating reactions at ionic solid-gas interfaces to enhance catalytic kinetics for fuel cells, electrolyzers, and sensors. Key areas include surface science, electrochemistry, and nano-fabrication. Scientific Contributions: His recent work emphasizes fluorine doping for stable bismuth oxide electrolytes, Ca substitution in LaCoO3 for oxygen evolution, and exsolution strategies for durable nanocatalysts. Publications highlight multidisciplinary approaches combining experimental and computational methods.
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.
Carol Smith is an Associate Professor in the Department of Soil & Physical Sciences at Lincoln University, New Zealand, where she serves as Head of Department since 2017. She has been an elected academic staff member of the Lincoln University Council from 2018-2022. Dr. Smith holds a PhD from the University of Aberdeen, an MSc from the University of Reading, and a BSc(Hons) from the University of Portsmouth, forming the foundation of her expertise in soil science and physical geography. Her research spans both fundamental and applied aspects of pedology. On the fundamental side, she investigates Quaternary pedology and paleoenvironmental reconstruction using loess stratigraphy, geomorphology, and micromorphology, which provides critical data for verifying future climate change predictive models. Applied research focuses on sustainable use of recycled organic matter and rehabilitation of degraded soils. She collaborates internationally on multidisciplinary projects involving paleoclimate reconstruction, paleoliquefaction, Antarctic soils, and viticulture. Dr. Smith is passionate about teaching and science communication, employing experiential learning methods to develop practical field skills in soil science through 'soil judging competitions' in New Zealand and Australia. Her research addresses UN Sustainable Development Goals including Life on Land (15), Climate Action (13), and Quality Education (4). Among her notable recognitions are the Norman H Taylor Memorial award 2020 from the New Zealand Society of Soil Science for outstanding contributions to soil science in New Zealand and Fellowship in the Royal Geographical Society, London. She serves as Associate Editor of Natural Sciences Education and was previously editor of Quaternary Australasia. Dr. Smith has supervised numerous graduate students through research-based supervision, with completed projects covering diverse topics from soil patterns in Southland to Antarctic soil ecology. She teaches advanced courses in field research, soil science, and physical landscapes, and has developed innovative approaches to teaching during the pandemic, including virtual field trips.
Paul Larson is a Professor of Mathematics at Miami University. His research focuses on set theory, topology, and model theory, with particular expertise in forcing axioms, descriptive set theory, and infinitary logic. He holds a Ph.D. in Mathematics from the University of California, Berkeley. His work bridges foundational mathematical logic with applications in topology and combinatorics. Key contributions include studies on canonical models under fragments of the Axiom of Choice, polar forcings, and cardinal characteristics. Larson has collaborated extensively with leading researchers such as Saharon Shelah and Jindřich Zapletal. His publications span prestigious journals like the Annals of Pure and Applied Logic and Transactions of the American Mathematical Society. Beyond research, he contributes to the academic community through editorial work and expository writings on historical developments in determinacy theory. Education: Ph.D., Mathematics, University of California, Berkeley Research interests emphasize foundational questions in set theory with applications to topology and model theory. His recent work explores advanced forcing techniques, square principles in Pmax extensions, and combinatorial properties of cardinal invariants. Publications reflect interdisciplinary engagement, including crystal structure prediction in high-pressure chemistry and operator theory in functional analysis. Despite an extensive publication record, no specific scientific awards are documented here. His advising and grant activities remain unspecified in the provided texts. Collaborations span international institutions, reflecting his role as a central figure in contemporary set theory research.
Aleksei Zheltikov is a University Distinguished Professor at Texas A&M University's Department of Physics and Astronomy. He holds dual affiliations with the International Laser Center and Physics Department of M.V. Lomonosov Moscow State University, and the Russian Quantum Center. His research focuses on ultrafast nonlinear optics and biophotonics, addressing applications in imaging, laser filamentation, and strong-field physics. Zheltikov earned his PhD (1990) and Doctor of Science (1999) degrees from Moscow State University, becoming a full professor there in 2000 before joining Texas A&M in 2010. He leads a research team including Xinghua Liu and Ajithamithra Dharmasiri. Recipient of prestigious awards including the Russian Federation State Prize (1997), Lamb Award (2010), and Kurchatov Prize (2014), his work bridges fundamental optics research with medical diagnostics and quantum technologies. Key contributions include developing laser filament-based imaging techniques and advancing Raman scattering-based frequency conversion methods in hollow-core fibers.
Dr. Tetsu Hara is a Professor at the University of Rhode Island's Graduate School of Oceanography (URI GSO), specializing in Physical Oceanography. With a lifelong fascination for ocean surface waves, his research bridges civil engineering principles with ocean dynamics to study air-sea interactions under extreme conditions like hurricanes. Ph.D., Civil Engineering, Massachusetts Institute of Technology, 1990 M.S., Civil Engineering, University of Tokyo, 1986 B.S., Civil Engineering, University of Tokyo, 1983 Dr. Hara's work focuses on ocean turbulence, wave dynamics, and their role in air-sea energy exchange. He investigates how surface waves influence hurricane intensity predictions, climate modeling, and coastal processes through numerical simulations and field observations. His research emphasizes the importance of sea state (wave height, wind-wave alignment) in determining heat fluxes, drag coefficients, and gas exchange rates critical for climate science. His publications reveal trends in tropical cyclone modeling, Langmuir turbulence, and wave-current interactions. By combining satellite data with computational models, he explores discrepancies between wind strength and wave behavior, advancing understanding of ocean mixing mechanisms that impact climate change predictions. Dr. Hara has received continuous National Science Foundation grants since 2003, including collaborative projects on hurricane modeling (2018-2020), wind-wave turbulence (2015-2020), and storm surge impacts (2016-present). He previously secured funding from the Office of Naval Research (2009-2012) and U.S. Department of Homeland Security (2016). Mentored 15+ graduate students in hurricane dynamics, wave modeling, and air-sea interaction Co-developed advanced courses on geophysical fluid dynamics and tropical cyclone modeling Collaborates closely with Dr. Isaac Ginis (URI GSO) and Dr. Tobias Kukulka (University of Delaware)
Dr. John Francis Clinton is the Director of Seismic Networks and Head of the Earthquake Monitoring Section at the Swiss Seismological Service (SED), ETH Zurich. He leads the Marsquake Service for NASA's InSight mission and oversees Switzerland's broadband and strong-motion seismic networks. His expertise spans earthquake early warning systems, seismic instrumentation, and glacial seismology. Clinton is also a Co-Investigator on the Mars InSight mission and involved in international projects like EPOS and RAMSIS. Education PhD in Civil Engineering (Minor in Geophysics), California Institute of Technology (2004) MSc in Civil Engineering, California Institute of Technology (1998) BEng in Civil Engineering, University College Dublin (1997) Research Interests Dr. Clinton focuses on real-time seismology, seismic instrument design, structural health monitoring, and glacial seismology. His work bridges engineering applications with geophysical data analysis, particularly in earthquake early warning systems and induced seismicity studies. He collaborates internationally on projects such as the Valais Near Fault Observatory and Nicaragua’s Earthquake Early Warning development. Publications Overview His 15 most recent papers (2011–2015) highlight advancements in seismic network optimization, Marsquake detection algorithms, and glacial icequake mechanisms. Key themes include improving early warning accuracy, understanding subglacial dynamics, and validating high-rate GPS for structural monitoring. Awards & Memberships Member, Swiss Academy of Sciences (since 2008) Member, IRIS Quality Assurance Advisory Committee (since 2013) Chair, European Integrated Data Archives (EIDA) (2013–2015) Labs & Teams Clinton directs the SED’s Earthquake Monitoring team and collaborates with ETH Zurich’s Geophysics Masters Program. His group manages Switzerland’s seismic networks and leads the Marsquake Service, which analyzes InSight lander data for Martian seismic events.
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.
Margaret E. Roberts is a Professor in the Department of Political Science at the University of California, San Diego. She co-directs the China Data Lab at the 21st Century China Center and serves as an affiliate at the UC Institute on Global Conflict and Cooperation. Her academic appointments reflect her interdisciplinary approach combining political science, statistics, and computational methods. University of California, San Diego, Department of Political Science (Current) Co-director, China Data Lab at the 21st Century China Center Affiliate, UC Institute on Global Conflict and Cooperation Roberts earned her PhD in Government from Harvard University (2014), MS in Statistics from Stanford University (2009), and BA in International Relations and Economics from Stanford University (2009). Her educational background bridges political science, statistics, and computational methods, forming the foundation for her interdisciplinary research approach. Professor Roberts' research focuses on the intersection of political methodology and the politics of information, with specific expertise in automated content analysis and the politics of censorship and propaganda in China. Her work employs innovative methods including social media analysis, online experiments, and large-scale text analysis to understand how censorship and propaganda influence information access and political beliefs. She has made significant contributions to text-as-data methodologies, developing tools like the Structural Topic Model (stm) R package that have become widely used in social science research. Roberts' research portfolio demonstrates consistent focus on authoritarian information control, particularly in China, while expanding into broader applications of text analysis in political science. Her publications span top journals in political science, computer science, and interdisciplinary fields, reflecting the cross-disciplinary nature of her work. Goldsmith Book Award Best Book Award in the Human Rights Section Best Book Award in Information Technology and Politics Section Best Book Award of the last decade in the Political Communication Section of the American Political Science Association Chancellor's Associates Endowed Chair at UCSD Foreign Affairs Best Books of 2018 Professor Roberts has secured significant research funding supporting her work on Chinese censorship, propaganda, and text analysis methodologies. Her research has practical applications for understanding digital authoritarianism, content moderation, and the development of computational tools for social science research. She has mentored numerous students and collaborators, contributing to the next generation of scholars working at the intersection of political science and computational methods. Roberts also leads the China Data Lab, which serves as a hub for research on Chinese politics and society using digital methods.
Britney Schmidt is Associate Professor in Earth and Atmospheric Sciences and Astronomy at Cornell University, where she leads the Planetary Habitability and Technology Lab. She develops robotic tools like the Icefin underwater vehicle to study Earth's ice shelves and glaciers, providing insights into climate change and analogs for ocean worlds like Europa. Her research bridges glaciology, planetary science, and astrobiology. Research focuses on ocean world habitability, ice-ocean interactions, and Antarctic climate systems. Fieldwork includes extensive campaigns in Antarctica and the Arctic using robotic explorers. Recent publications explore Europa's habitability, Thwaites Glacier dynamics, microbial communities in hypersaline environments, and planetary analog studies. Technical developments include novel instrumentation for under-ice exploration. Awarded the 2024 Blavatnik National Award for groundbreaking research. Leads multiple international collaborations including NASA's Europa Clipper mission and Thwaites Glacier projects.
Farnoush Banaei-Kashani is an Associate Professor (Tenured) in the Department of Computer Science and Engineering at the University of Colorado Denver. She also holds an Adjunct Associate Professor position in the Department of Mathematical and Statistical Sciences. As the founder and director of the Big Data Management and Mining Lab (BDLab), she leads multiple GAANN Fellowship Programs, including BDSE (Big Data Science and Engineering), DDC (Data-Driven Cybersecurity), and II (Infrastructure Informatics). She directs the 'Data Science in Biomedicine' MS Track and focuses on data-driven decision systems (DDSs), integrating machine learning and big data analytics into healthcare, energy, transportation, and environmental applications. Education: Details not explicitly provided in the text. Her research spans data management cycles for DDSs, addressing challenges like big data volume, velocity, and variety. Key projects include iWatch (crime surveillance), POCM (mobility monitoring), and GeoSIM (urban texture documentation). She teaches courses such as Machine Learning Systems, Big Data Science, and Data Mining. Publications highlight advancements in sea ice classification, federated learning, proteomic networks, and privacy-preserving AI. Her work is funded by NSF, NIH, DOT, and industry partners like Google and IBM. She has advised numerous students and contributes to academic leadership as editor, conference chair (ACM SIGSPATIAL 2018/2019), and program committee member for venues like SIGMOD and KDD.
Johannes Larsch is a tenure-track Assistant Professor at the Center for Integrative Genomics within the Faculty of Biology and Medicine at Université de Lausanne (UNIL). His research focuses on understanding the neuronal mechanisms underlying social interactions, using larval zebrafish as a model organism. He employs advanced techniques like virtual reality and optical imaging to study how social signals are processed in the brain. Education: Bachelor of Biology, University of Konstanz, Germany PhD in Neurobiology, Rockefeller University, USA (lab of Cori Bargmann) Postdoc at Max Planck Institute of Neurobiology, Germany (with Herwig Baier) Research interests center on neuronal circuits driving group behavior, social recognition, and the interplay between genetics and environment in shaping behavior. His lab investigates how individual brains coordinate collective social behaviors through studies of neuronal activity and circuit dynamics. Current lab openings include fully funded PhD and PostDoc positions focused on social neuroscience and neurogenomics. Contact: johannes.larsch@unil.ch .
Leif Eriksson is a Professor at Chalmers University of Technology , specializing in Radar Remote Sensing within the Department of Space, Earth and Environment . His career at Chalmers began in 2004, and he was promoted to Professor in 2022 after serving as Group Leader (2012–2017) and Head of Faculty Assembly (2017–2020). His research focuses on developing advanced methods for environmental monitoring using radar data, particularly synthetic aperture radar (SAR) from satellites and aircraft. Leadership Roles: Group Leader (Radar Remote Sensing), Faculty Assembly Head Key Collaborations: Rymdstyrelsen, EU Horizon, VINNOVA, European Space Agency Research Interests : Dr. Eriksson’s work spans forest biomass estimation , sea ice dynamics , and ocean surface current/wind retrieval . He integrates SAR data with in situ observations and climate models to study: Forest degradation (clear cuts, storm damage) via multi-temporal SAR Sea ice concentration, drift patterns, and thickness in Arctic regions Wind vectors and surface currents using interferometric SAR techniques Applications for maritime navigation safety and polar shipping optimization Article Trends : His recent publications emphasize SAR’s role in transport infrastructure monitoring (e.g., Iron Ore Line degradation), pan-Arctic landfast ice stability , and multi-frequency SAR fusion for enhanced sea ice observations. Collaborative work with teams across Europe and the U.S. highlights interdisciplinary approaches to climate and marine research. Projects & Grants : Dr. Eriksson leads or contributes to projects such as: CAISA (2022–2024): Air-ice-sea data assimilation EONav (2016–2019): Copernicus data for maritime navigation SEDNA (2017–2020): Safe Arctic shipping Forest Biomass Monitoring (2017–2018): Spaceborne SAR applications His work is supported by Rymdstyrelsen, EU Horizon, and industry partners like Trafikverket. Labs & Teams : He is central to the Radar Remote Sensing Group at Chalmers, collaborating with institutions like Lund University and international bodies such as ESA. His research often involves satellite campaigns (e.g., TanDEM-X, Sentinel) and field studies in polar regions.
Jan G. Voelkel is an Assistant Professor at the Jeb E. Brooks School of Public Policy and the Department of Sociology at Cornell University. His research explores how micro-level preferences for equality and unity translate into macro-level political decisions, focusing on democratic attitudes, partisan dynamics, and moral framing. Ph.D. and M.A. in Sociology, Stanford University M.S. in Social and Behavioral Sciences, Tilburg University B.S. in Social Sciences, University of Cologne Voelkel’s work spans political psychology, metascience, and social policy, with a focus on interventions to reduce anti-democratic attitudes, partisan animosity, and gender bias in political leadership. His recent articles emphasize large-scale collaborations, reproducibility, and cross-partisan empathy. Scientific awards include: New Investigator Award (Behavioral Science & Policy Association) Public Sociology Award (American Sociological Association) Open Science Innovator Award (Stanford) Centennial Teaching Assistant Award (Stanford)
