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Kai GehringView profile

Professor

• Political Economy
• Development Economics
• Public Economics
• +6 more

Kai Gehring is a Professor for Political Economy and Sustainable Development at the University of Bern , with affiliation to the Wyss Academy for Nature and the ifo Institute in Munich. He holds a PhD in Economics from the University of Göttingen (advisor: Axel Dreher) and a Diplom (M.Sc equivalent) from the University of Mannheim. His academic career includes research stays at Harvard, Cambridge, Stanford, and MIT, along with a 4-year Ambizione Grant from the Swiss National Science Foundation. Member, CESifo Member, European Development Network (EUDN) Member, Development Economics Committee of the German Economic Association Member, Globalization and Development Group (GlaD) His research integrates economics with political science, sociology, and history to examine institutional dynamics in developed and developing countries. Key areas include political economy of international organizations (IMF, World Bank, EU), conflict resolution , sustainable development , and narrative economics using NLP on media/social data. Recent methodological projects employ satellite imagery and machine learning for mining activity tracking. Major article trends span three decades of African government formation challenges ( Minister Project ), climate change policy narratives, artisanal mining impacts, and terrorist propaganda analysis. He has published 17+ peer-reviewed articles across journals like European Economic Review , World Development , and Journal of Development Economics . Scientific Awards Ambizione Grant (Swiss National Science Foundation) As an educator, Gehring has taught at the University of Mannheim, Heidelberg University, Kaiserslautern University of Applied Sciences, and the University of Zurich. His Minister Project actively engages citizen scientists to build comprehensive datasets on African government members' linguistic and regional origins.

Karen E. MockView profile

Professor

• Molecular Ecology
• Landscape Genetics
• Conservation Genetics
• +3 more

Karen E. Mock is a Professor in the Wildland Resources department at Utah State University’s Quinney College of Natural Resources. She holds a Ph.D. in Biology from Northern Arizona University (2000), an M.S. in Environmental Health from Colorado State University (1985), and a B.S. in Microbiology from the University of Texas at Austin (1980). With over 10 years of prior teaching at Yavapai Community College and extensive experience at USU, she teaches Genetics in Conservation and Management and graduate special topics in landscape genetics and Bayesian data analysis. Education: Ph.D., Biology, Northern Arizona University, 2000 M.S., Environmental Health, Colorado State University, 1985 B.S., Microbiology, University of Texas at Austin, 1980 Her research focuses on molecular ecology , examining landscape patterns of gene flow and genetic diversity in species such as aspen, freshwater mussels, frogs, mountain pine beetles, bears, Phragmites, and wild turkeys. She employs molecular markers to inform conservation strategies, habitat management, and population monitoring. Recent publications highlight her work on aspen clonality , freshwater mussel phylogeny , and invasive species genetics . Her research integrates landscape genetics , phylogenetics , and conservation genomics across terrestrial and aquatic ecosystems. Scientific Awards: Quinney College of Natural Resources Researcher of the Year, 2014 Quinney College of Natural Resources Undergraduate Advisor of the Year, 2010 College of Natural Resources Undergraduate Mentor of the Year, 2008 College of Natural Resources Teacher of the Year, 2007 Best Student Paper Award, Arizona-New Mexico Wildlife Society, 2000 Roger Hungerford Student Award, Arizona-New Mexico Wildlife Society, 2000 Mock has mentored numerous graduate students, including Ph.D. candidates in Wildland Resources and Watershed Sciences , with research spanning population genetics , conservation strategies , and molecular ecology . She contributes to journals such as Molecular Ecology , Conservation Genetics , and Forest Science .

Andreas BaasView profile

Professor

• Aeolian Geomorphology
• Sediment Transport
• Turbulence Physics
• +5 more

Professor Andreas Baas is a leading academic in aeolian geomorphology, holding a Professorship at King's College London's Department of Geography within the School of Global Affairs. His research focuses on dune dynamics on Earth and Mars, aeolian sand transport, and climate change impacts. He earned BSc/MSc from the University of Amsterdam and a PhD from the University of Southern California, supported by an NSF Research Award. Previously, he was an Adjunct Professor at California State University San Bernardino. Research interests include desert dune hazards, microplastics transport, and Martian dune bedforms. He has published 40+ peer-reviewed articles, 10+ book chapters, and his work has been cited over 3,500 times. His grants include funding from the Leverhulme Trust, Nuffield Foundation, and UK NERC. He supervises PhD students on topics like barchan swarms and Mars dune dynamics. His lab work includes developing tools like PyShoreVolume for shoreline change analysis. He is an associate editor for Earth Surface Dynamics and a member of the NERC Peer-Review College.

Sebastian KurtekView profile

Professor

• Shape Analysis
• Functional Data Analysis
• Image Analysis
• +4 more

Sebastian Kurtek is a Professor of Statistics at The Ohio State University, affiliated with the College of Arts and Sciences. He holds roles in the Interdisciplinary PhD Program in Biostatistics and Translational Data Analytics. His research focuses on statistical shape analysis, functional data analysis, and Bayesian statistics, addressing challenges in medical imaging, computer vision, and biometrics. Education: PhD in Biostatistics, Florida State University (2012) M.S. in Biostatistics, Florida State University (2009) B.S. in Mathematics, Tulane University (2007) Research Interests: Development of statistical models for complex functional data, including shapes and images Applications in medical imaging, biology, and computer vision Computational tools for Riemannian manifold analysis Publications & Trends: Recent work emphasizes geometric frameworks for analyzing eye tracking heat maps, radiogenomics in tumors, and Bayesian approaches for functional data registration. His articles highlight interdisciplinary applications, combining statistics with fields like computer vision and medical imaging. Awards: Best Paper Awards in computer vision, pattern recognition, and medical imaging NSF funding (multiple grants since 2016) IMS and AMS Travel Awards Grants & Collaborations: NSF DMS-1613054 (2016-2020) NIH R37-CA214955 (2017-2024) Collaborations on endometrial tissue modeling and fossil classification Labs/Teams: Involved in CBMS Conference on Elastic Functional and Shape Data Analysis (EFSDA), advancing methodologies for shape and functional data analysis.

Max SchulzeView profile

Professor

• European Economic History
• Habsburg Empire
• Economic Development
• +3 more

Professor Max Schulze is a faculty member in the Department of Economic History at the London School of Economics (LSE). His primary research focuses on European economic history, particularly the economic development of the Habsburg Empire, market integration processes, long-run economic growth, and historical economic geography. He holds a professorial appointment with active involvement in teaching and research. Research & Grants Leverhulme Trust-funded project: 'Integration and Growth: Capital and Goods Markets in 14th to 18th Century Europe' (with Oliver Volckart) ERC-funded 'Market Integration and the Welfare of Europeans' (with Giovanni Federico) ESRC grant: 'Market Access, Endowments, Industrial Location: The Habsburg Economy, 1870-1913' Fritz Thyssen Stiftung project: 'Das Handelsnetz Zentraleuropas: Preisintegration und interregionaler Handel' Teaching Recent courses include EH312: 'Knowledge, Technology and Economy from the Middle Ages to Modernity.' Publications His work spans analyses of Habsburg economic structures, post-WWI regional inequality, and comparative industrialization patterns. Key themes include border effects, capital market integration, and the economic legacies of imperial systems.

Thomas GiachettiView profile

Associate Professor

• Volcanology
• Geochemistry
• Surface Processes

Thomas Giachetti is an Associate Professor in the Department of Earth Sciences at the University of Oregon, within the College of Arts and Sciences. His research focuses on volcanology and geochemical processes in volcanic systems, particularly investigating bubble nucleation, magma fragmentation, and eruption dynamics. He has conducted extensive studies on explosive rhyolite eruptions, volcanic ash behavior, and the implications of submarine eruptions for tsunamis and deep-sea ecosystems. Email: tgiachet@uoregon.edu Office: 224 Volcanology, University of Oregon Office Hours: Friday 2-3 pm Website: http://pages.uoregon.edu/tgiachet/ His recent publications (2020-2025) highlight his expertise in volcanic processes, including magnetic properties of pumice, hydration of pyroclasts, and the use of X-ray tomography in analyzing eruption deposits. While no formal awards or advisees are listed in the provided materials, his work on volcanic hazards and magma dynamics remains influential in the field.

• Probability Theory
• Stochastic Processes
• Applied Probability
• +2 more

Dr. Robin Stephenson is a Lecturer at the School of Mathematical and Physical Sciences, University of Sheffield. His research focuses on Probability Theory, Stochastic Processes, and Applied Probability, with a particular emphasis on random trees, fragmentation processes, and Markov additive processes. His publications span topics like scaling limits of random graphs, self-similar fragmentation, and bivariate Markov chain convergence. He teaches the Probability Modelling module (MAS275) and is based in the Hicks Building (I18), Sheffield, S3 7RH, UK. His work reveals trends in theoretical probability, including critical Galton-Watson trees, directed graph scaling, and the analysis of Markov additive processes. Research applications extend to random maps and self-similar fragmentation dynamics.

Peter GrayView profile

Professor

• Organizational Networks
• Social Media
• Information Systems
• +2 more

Peter Gray serves as the William G. Shenkir Eminent Scholar Professor of Commerce at the University of Virginia, conducting influential research on technology-organization-society interactions. His work bridges academic rigor and managerial practice through publications in top journals and editorial leadership at MIS Quarterly. His academic credentials include: Ph.D. in Information Systems and Organizational Behaviour from Queen’s University, Canada M.Sc. in Information Systems from Queen’s University, Canada B.Comm. from the School of Business at Carleton University, Canada Gray's research program centers on organizational network dynamics, examining how collaboration structures drive innovation and performance. He investigates social media's transformative impact on workplace interactions, strategic IT applications for competitive advantage, and technology's societal consequences including political polarization. His methodology combines network analysis with behavioral studies to generate actionable insights for executives navigating digital transformation. Recent publications reveal accelerating focus on network-driven solutions to modern workplace challenges: return-to-office optimization, collaboration overload mitigation, and social media's role in societal fragmentation. His 2020-2023 work consistently connects micro-level employee behaviors with macro-level organizational outcomes through sophisticated network analysis frameworks. Recognition for his contributions includes: University of Virginia Research Achievement Award (2022) As Senior Editor of MIS Quarterly, Gray shapes the field's scholarly discourse while mentoring emerging researchers. His collaborative projects, particularly with Rob Cross on organizational networks, demonstrate sustained research leadership though specific grant details remain undisclosed in available materials. Gray maintains active research partnerships exploring network interventions for cultural transformation and technology-mediated sensemaking. His current work with the University of Virginia academic community continues advancing understanding of how digital connectivity reshapes organizational capabilities and societal structures.

Angela R. LieverseView profile

Professor

• Bioarchaeology
• Paleopathology
• Human Osteology
• +3 more

Angela R. Lieverse is a Professor in the Department of Anthropology at the University of Saskatchewan, where she has served since 2007. She previously held the position of Department Head. Her research focuses on bioarchaeology, paleopathology, and hunter-gatherer adaptations in Siberia and East Asia. Dr. Lieverse’s work emphasizes skeletal analysis, dietary studies, and disease patterns in prehistoric populations, with extensive fieldwork in Lake Baikal regions and the Cis-Baikal area. Education: PhD from Cornell University, MA and BA (with distinction) from the University of Alberta, and a SSHRC Post-Doctoral Fellowship at Memorial University. Her research interests include the bioarchaeology of stress, trauma analysis, and the application of modern medical methodologies to ancient remains. Notable projects involve reconstructing subsistence strategies, tracking infectious diseases like plague in prehistoric populations, and analyzing skeletal evidence of labor and activity patterns among foragers. Her work bridges archaeology, anthropology, and paleopathology to understand human adaptation and cultural change. Recent studies highlight innovative approaches to analyzing fragmented human remains and exploring the intersection of climate change and prehistoric health. Her publications often focus on Siberian populations, with a particular emphasis on the Cis-Baikal region’s Middle Holocene foragers.

• International Trade
• Economic History
• Macroeconomics
• +3 more

Professor Nikolaus Wolf is a faculty member at the Department of Economics, Humboldt University of Berlin, and a CESifo Research Network Fellow. He is affiliated with the Global Economy research area at CESifo. His work focuses on international trade, economic history, macroeconomics, and monetary policy, with a particular emphasis on historical economic dynamics and globalization processes. Research Interests: Professor Wolf explores the interplay between economic systems and historical contexts, including the impact of energy transitions (e.g., coal and oil), cultural factors like dialects and religion on trade, and the structural challenges of economic integration. His research often spans long-term historical periods, such as the interwar years and the Austro-Hungarian Empire era. Recent Work Trends: His publications since 2008 highlight themes such as the persistence of borders on trade, the origins of microfinance, and regional economic disparities in Europe. He frequently collaborates with institutions like CESifo, producing policy-relevant analyses on globalization, historical economic policies, and the consequences of geopolitical shifts. Awards & Affiliations: While no specific awards are listed, his affiliation with CESifo as a distinguished researcher underscores his academic standing. His work is disseminated through CESifo Working Papers, contributing to debates on global economic institutions and historical economic phenomena. Advising & Grants: No advising or grant information is explicitly provided in the text, but his extensive co-authorship network suggests active collaboration in research teams. His work is supported by institutional affiliations like Humboldt University and CESifo. Labs/Teams: While no specific labs are mentioned, his affiliation with CESifo implies participation in collaborative research networks focused on global economic issues.

• Remote Sensing
• Agricultural Landscapes
• Land Use Systems
• +4 more

Christopher Conrad is a Professor of Geoecology at Martin Luther University Halle-Wittenberg, where he has served since 2019. His academic journey includes previous positions as Acting Professor at the same university (2017-2019), Junior Professor for Geographical Remote Sensing at Julius-Maximilians-University Würzburg (2011-2017), and research roles at the German Remote Sensing Data Center. He completed his habilitation on remote sensing applications for sustainable land/water use in the Aral Sea Basin in 2017 and earned his doctorate in 2006. Conrad's research integrates remote sensing, geospatial analysis, and landscape ecology to address sustainability challenges. His primary focus areas include: Agricultural landscape dynamics and land use systems Climate change impacts on water resources and migration patterns Advanced remote sensing techniques for environmental monitoring Ecosystem services assessment in vulnerable regions He leads multiple projects such as CawaGreen , MIGRAWARE , and AgriSens Demmin 4.0 focused on climate adaptation and agricultural innovation. His recent publications demonstrate strong thematic coherence around satellite-based environmental monitoring, with 63% focused on remote sensing applications, 25% on climate-water-agriculture nexus, and 12% on socio-ecological systems. The works predominantly utilize Sentinel, MODIS, and RapidEye data with machine learning integration. Conrad coordinates research teams and landscape laboratories investigating hydrological processes, soil erosion, and crop monitoring. His fieldwork spans Central Asia (Aral Sea Basin), West Africa, and European agricultural systems, emphasizing practical solutions for sustainable land management.

Christian WirthView profile

Professor

• Plant Ecology
• Biodiversity
• Ecosystem Functioning
• +7 more

Christian Wirth is a Professor at Leipzig University, where he serves as Director of the Botanical Garden and heads the Special Botany and Functional Biodiversity Group. He is also the founding director of the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig. His research integrates botany and plant ecology with species conservation, focusing on biodiversity-ecosystem functioning relationships in terrestrial ecosystems. Education includes: Diploma in Biology (1996) from University of Bayreuth PhD (summa cum laude, 2000) from University of Bayreuth Wirth's research examines how natural and human-induced biodiversity changes affect ecosystem processes like carbon storage, water consumption, and energy balance. His pioneering work includes developing trait-based approaches (TRY database) and investigating climate change impacts on forests. Current projects focus on forest conservation, functional diversity, and biogeochemical cycling using advanced facilities like the Leipzig Auwaldkran canopy crane and ARBOfun research arboretum. His publications emphasize biodiversity-ecosystem functioning relationships, with recent work exploring drought resilience in forests, root trait economics, soil microbial interactions, and remote sensing applications. Research consistently demonstrates how plant traits and community composition mediate ecosystem responses to global change stressors. Major research projects include: NFDI4BioDiversität (2021-2025): Biodiversity and environmental data infrastructure Faktencheck Artenvielfalt (2021-2024): National biodiversity assessment Quantifizierung der Kommunikationsdienstleistung durch Biodiversität (2017-2021) Wirth leads the Special Botany group investigating functional biodiversity significance and directs field research facilities including the Leipzig Auwaldkran. His team collaborates extensively within iDiv's interdisciplinary research framework.

• Forest Ecology
• Sustainable Forest Management
• Boreal Forests
• +5 more

Daniel Kneeshaw is a Professor in the Department of Biological Sciences at the University of Quebec in Montreal (UQAM), where he holds the UQAM Strategic Research Chair on the resilience and vulnerabilities of temperate and boreal forests to climate change. He is a Regular Member of the Center for Forest Ecology (CEF) and has been actively contributing to forest ecology research since joining UQAM in 2001 after serving as a researcher at the Forest Research Branch of the Quebec Ministry of Natural Resources. His educational background includes a Post-doctorate in forestry sciences (1999, Laval University), Ph.D. in Environmental Sciences (1997, UQAM), M.Sc. in Forest Ecology (1992, University of British Columbia), and B.Sc. in Forestry (1989, University of Toronto). Before his academic career, he worked in softwood forests in Manitoba and British Columbia. Dr. Kneeshaw's research focuses on sustainable forest management tools, mortality and population dynamics in forest ecosystems, and the dynamics of forest gaps in maintaining old-growth forests. His work aims to develop and integrate indicators of sustainable forest management by better understanding forest dynamics, particularly in advanced development stages, tree mortality and regeneration, and competition in gaps. He employs modeling approaches to assess ecosystem responses to different management strategies across multiple spatial and temporal scales. His recent publications demonstrate a strong focus on climate change impacts on boreal forests, tree physiology in urban environments, forest insect outbreaks (particularly spruce budworm), and biogeochemical processes in forest ecosystems. His research spans from fundamental forest ecology to applied management solutions, with a growing emphasis on climate change adaptation and resilience. Prix de la Faculté des sciences de l'UQAM 2024 - Prix de la recherche - Professeur – volet carrière Prix de la ministre de l'éducation, du loisir et du sport for the book Aménagement écosystémique en forêt boréale (2009) Dr. Kneeshaw has supervised an extensive number of graduate students (over 50 Master's and PhD students listed) and has collaborated with numerous researchers across Canada and internationally. His work has been supported by various grants, including NSERC funding for his postdoctoral research and ongoing projects related to forest dynamics and climate change. He has contributed significantly to developing ecosystem-based management approaches that mimic natural disturbance regimes in boreal forests. His laboratory focuses on understanding forest dynamics at multiple scales, from tree-level physiological processes to landscape-level patterns. His team employs a range of methodologies including field measurements, dendrochronology, remote sensing (particularly LiDAR), and ecosystem modeling to address complex questions about forest resilience and sustainability in the face of climate change and other disturbances.

Etem AziriView profile

Professor

• Political Systems
• Electoral Politics
• Public Administration
• +1 more

Etem Aziri is a Full Professor (part-time) at South East European University's Faculty of Contemporary Social Sciences, holding a Doctor of Science in Sociology from Ss Cyril and Methodius University (1999-2001) and degrees in law and political science from the University of Zagreb. His research examines: Intra-party democracy and electoral systems Religion's role in Balkan politics Public expenditure and economic growth Post-conflict reconciliation in Macedonia Recent publications analyze political party structures (2018), religious tolerance dynamics (2017), and fiscal policy impacts. His work consistently engages with Macedonia's multiethnic governance challenges following the Ohrid Framework Agreement. No advising relationships, awards, or research grants were documented in available materials.

Nic FreemanView profile

Lecturer

• Probability
• Stochastic Processes
• Random Geometry
• +3 more

Dr Nic Freeman is a Lecturer in Applied Probability and Programme Leader for Financial Mathematics at the School of Mathematical and Physical Sciences, University of Sheffield. He holds an academic position within the Department of Mathematics and is a member of the Probability research group. His research focuses on probability theory, stochastic processes, random geometry, fractals, and applications to population genetics and financial mathematics. Dr Freeman teaches courses such as MAS350 Measure and Probability, MAS352 Stochastic Processes and Finance, MAS451 Measure and Probability, and MAS452 Stochastic Processes and Finance. His work integrates theoretical probability with practical applications, including the study of preferential attachment models, coalescent processes, and spatial stochastic systems. He is affiliated with the Hicks Building, located in Room I20. Research interests span topics such as tightness criteria for random processes, Brownian web/net structures, and cluster dynamics in network models. His recent publications explore foundational aspects of stochastic processes and their convergence properties, contributing to both pure and applied probability theory. Dr Freeman collaborates within interdisciplinary teams and maintains an active research profile in mathematical probability.