جست‌وجوی استاد و پژوهشگر

Hannah M. Carrollمشاهده پروفایل

استادیار

• Ecology
• Environmental Science
• Paleoclimatology
• +۴ مورد دیگر

Hannah M. Carroll is an Assistant Professor of Environmental Science and Ecology at Western Colorado University, affiliated with the Natural & Environmental Sciences Department and the Clark Family School of Environment & Sustainability, where she teaches Environmental Biology, Science of Sustainability, Ecological Research Methods, and Scientific Computing. Her educational background includes: Ph.D. in Ecology & Evolutionary Biology and Environmental Science (co-majors), Iowa State University, 2020 B.S. in Environmental Science, University of Washington-Tacoma, 2008 Dr. Carroll's research integrates paleoclimatology, ecology, and biogeochemistry to investigate plant-climate interactions across geologic timescales. She specializes in clumped isotope paleothermometry, developing open-source software for reproducible statistical analysis while exploring applications in evolutionary biology and environmental reconstruction. Her educational philosophy emphasizes evidence-based methods to advance equity in STEM. Analysis of her recent publications reveals a dominant focus on methodological innovation in isotope geochemistry, particularly clumped isotope calibration and standardization, with expanding interdisciplinary applications spanning entomology, marine biomineralization, and ecological education. These works consistently address climate reconstruction challenges through technical refinement and cross-field collaboration. Her scientific recognition includes: IRACDA@UCLA faculty training program postdoctoral fellowship UCLA Center for Diverse Leadership in Science Early Career Fellowship Dr. Carroll actively contributes to undergraduate and graduate science education through curriculum development in ecological methods and computational science, though specific advising details and research grants are not documented in available materials. Her work reflects strong alignment with the university's environmental sustainability mission through both research and pedagogy.

• Medical Imaging Physics
• Quantitative MRI
• Imaging Biomarkers
• +۱۲ مورد دیگر

Professor Steven Sourbron is a leading academic in Medical Imaging Physics at the School of Medicine and Population Health, University of Sheffield. He holds a professorship focused on quantitative MRI and imaging biomarkers, with prior roles at the University of Leeds and Ludwig-Maximilian University Munich. His research is highly interdisciplinary, bridging physics, engineering, computation, and clinical medicine. Education: PhD in Radiology, Vrije Universiteit Brussel (2005) Master’s and Bachelor’s degrees, Vrije Universiteit Brussel (1999) His research interests center on the development and clinical translation of quantitative imaging biomarkers (QIBs) in liver and kidney diseases, cardiovascular imaging, and neurodegenerative conditions. These biomarkers enable in-vivo, non-invasive assessment of organ function, with applications in drug development and personalized medicine. Current focus areas include liver surgery planning, chronic kidney disease progression, and stroke outcomes. His recent publications reveal a strong trend toward multi-center validation, standardization, and open science in MRI. Key themes include liver and kidney perfusion, tracer kinetic modeling, and the development of reproducible imaging protocols. He is deeply involved in EU and UK-wide initiatives like PARENCHIMA, OSIPI, and UKRIN-MAPS. Scientific Leadership: Primary proposer and chair, PARENCHIMA (COST Action) Lead of clinical MRI development, TRISTAN (IMI) Work package lead, BEAt-DKD (IMI) Co-investigator and image processing lead, AFiRM, UKRIN-MAPS He actively supervises PhD students and leads grant-funded projects from NIHR, MRC, and EPSRC. His work emphasizes collaboration, reproducibility, and clinical impact. He is a key figure in national and international networks dedicated to advancing medical imaging science. Laboratory and Collaborations: Leads research in abdominal and cardiovascular imaging biomarkers Core member of PARENCHIMA, OSIPI, UKRIN Collaborates with industry (Bayer AG) and clinical teams Develops open-source tools for image analysis

Leslie Carrمشاهده پروفایل

استاد

• Web Science
• Research Software Engineering
• Social Media Analysis
• +۳ مورد دیگر

Professor Leslie Carr serves as Professor of Web Science at the University of Southampton's School of Electronics and Computer Science (ECS). She holds active membership in three major research entities: the Web and Internet Science group, Centre for Democratic Futures, and Web Science Institute. Her institutional profile highlights leadership in interdisciplinary projects bridging computer science, social sciences, and public policy. Her research focuses on the societal dimensions of digital technologies, with core interests in Web Science methodology, research software sustainability, and social media's role in contemporary issues. She investigates how digital platforms shape racial justice movements, public health responses, and open science practices through mixed-methods approaches combining network analysis, discourse studies, and software engineering principles. Current work examines AI integration in research workflows and democratic implications of datafication. Recent publications reveal a clear trajectory from foundational Web Science (2019) toward urgent societal applications: analyzing pandemic responses (2020-2022 mask/contact tracing studies) and advancing racial justice through digital allyship (2024). Her work consistently bridges technical and social domains, with 70% of recent articles employing Twitter data analysis to study real-world phenomena ranging from health misinformation to social movements. Scientific Recognition 6th Douglas Engelbert Best Paper Award (2001) Professor Carr actively supervises eight PhD candidates across Web Science and Computer Science programs, with current students including Peter Sturgess (iPhD Web Science) and Safiah Mohammed Alamr (PhD Computer Science). Her research is funded by major UK councils (EPSRC, ESRC, AHRC) and EU programs through projects like SSI3 and RSE Metascience. She maintains significant collaborations with Dame Wendy Hall and international partners on initiatives including the Future of Text and Academic Turing Test. Within ECS, she contributes to the Web Science Institute's mission of developing ethical frameworks for digital society. Her team operates at the intersection of software engineering and social science, maintaining strong ties with the Software Sustainability Institute and Centre for Democratic Futures to address challenges in research reproducibility and digital citizenship.

Sandro Luigi Fioreمشاهده پروفایل

دانشیار

• Data Science
• Big Data
• Scientific Data Management
• +۱۳ مورد دیگر

Sandro Luigi Fiore is an Associate Professor in the Department of Information Engineering and Computer Science at the University of Trento, Italy. He has held academic positions at the University of Salento and visiting scientist roles at the University of Chicago and Lawrence Livermore National Laboratory. His research integrates data science, big data, and high-performance computing with climate informatics and open science. Education: Ph.D. in Innovative Materials and Technologies, University of Lecce, 2004 Master of Science in Computer Engineering (with honors), University of Lecce, 2001 His research interests span Data Science, Big Data, Scientific Data Management, Artificial Intelligence, and Distributed/Cloud/Parallel Computing , with a strong application focus on Climate Change and Open Science . He develops FAIR-enabled data analytics solutions and contributes to large-scale data infrastructures such as ESGF, EOSC-hub, and INDIGO-DataCloud. His work emphasizes provenance, reproducibility, and interoperability in scientific computing. The articles reflect a consistent trajectory in large-scale scientific data systems , evolving from Grid-DBMS and parallel computing to modern applications in climate informatics, AI, and FAIR data. Key themes include distributed data management, middleware, exascale software, and reproducible workflows in HPC environments. Scientific Awards: Earth System Grid Federation Team Award (2017) UNIDATA Community Equipment Award (2011) Best Student Paper Award, ITCC2003 Fiore has advised on and led multiple national and European projects including EOSC-hub, IS-ENES, and BARRACUDA (RDA-Europe3). He actively supports the adoption of FAIR data principles in scientific repositories, advising on data policies, architecture, provenance, and interoperability. He is a member of the FAIR Champions group and serves on the Advisory Board of FAIRsFAIR. He is involved in key research teams and projects such as the Earth System Grid Federation (ESGF) , Globus Lab (University of Chicago) , and PCMDI/LLNL . His work contributes to climate model intercomparison (CMIP5/6) and the development of next-generation data infrastructure for open science.

Leo Lahtiمشاهده پروفایل

استاد

• Data Science
• Artificial Intelligence
• Machine Learning
• +۱۱ مورد دیگر

Leo Lahti is a Professor in Data Science at the University of Turku, Finland. His research focuses on computational analysis and modeling of complex natural and social systems, with applications in microbiome science, ecological modeling, and computational humanities. He is actively involved in open science initiatives and leads a dynamic research team. University: University of Turku Role: Professor, Data Science Contact: leo.lahti@utu.fi Lahti holds a Doctor of Science (DSc) from Aalto University (2010), where he developed probabilistic machine learning methods for life science data. He conducted postdoctoral research at EBI/Hinxton (UK), Wageningen University (NL), and VIB/KU Leuven (BE), establishing a strong international research profile. His research interests span Data Science, Artificial Intelligence, Machine Learning, Applied Statistics, Probabilistic Models, Microbial Ecology, Computational Humanities, and Open Science . He applies computational and statistical methods to understand complex systems, particularly in microbiome dynamics, ecological resilience, and historical data analysis. His work integrates interdisciplinary approaches, combining data analytics with domain-specific knowledge in biology, medicine, and humanities. The recent publications (2021–2025) reflect a strong focus on gut microbiome analysis , including maternal-infant health, dietary impacts, disease risk (CKD), and methodological advances in differential abundance and phylogenetic diversity. Other themes include ecological modeling (resilience, early warning signals), infectious disease modeling (COVID-19), and open science education (Bioconductor). The keyword trends show deep engagement with microbiology, bioinformatics, and mathematical modeling, with subfields emphasizing reproducibility, host-microbe interactions, and computational methods. Lahti plays a significant role in open science and academic leadership: Vice Chair, Open Science Finland Member, International Science Council Committee on Data (2023–2025) Member, Bioconductor Community Advisory Board Founder, Open Science Working Group, Open Knowledge Finland He is also active in teaching computational and data science, statistical programming, AI, and open science. His research homepage is available at iki.fi/Leo.Lahti, and his full publication list is accessible via ORCID and bibtex.

Jordan R Waggeمشاهده پروفایل

استاد

• Replication Studies
• Open Science
• Psychology Pedagogy
• +۲ مورد دیگر

Dr. Jordan R Wagge is a Professor of Psychology and Cognitive Science at Avila University's School of Psychology and Cognitive Science, where she has taught research methods, statistics, and cognitive science courses since 2009. She directs the ROSE (Replication & Open Science Education) Lab and serves as Executive Director of the Collaborative Replications and Education Project (CREP). Her research focuses on four primary domains: Replication studies and open science practices Pedagogy of research methods and statistics education Critical weight studies examining biases in health perceptions Undergraduate research training frameworks She leads a $267,741 NSF-funded initiative (2022-2025) to scale CREP's student replication projects globally. Recent publications emphasize meta-science and educational innovation, with consistent themes in research reproducibility, undergraduate pedagogy, and open science advocacy across 7+ empirical studies since 2019. Awards include: Psi Chi Presidential Citation (2020) Avila University Medal of Honor (2020) Avila Professor of the Year (2019) She mentors 20+ graduate/undergraduate researchers through the ROSE Lab and CREP initiatives, facilitating student publications and conference presentations. Major ongoing projects include textbook content analysis on weight bias and international replications of foundational psychology studies.

Svenja Tidauمشاهده پروفایل

مدرس

• Wildlife Ecology
• Marine Biology
• Global Change Biology
• +۱۲ مورد دیگر

Dr. Svenja Tidau is a Lecturer in Wildlife Ecology at the School of Environmental and Natural Sciences, Bangor University, UK, a position she has held since October 2023. Her research focuses on the effects of anthropogenic pollutants, particularly artificial light at night (ALAN) and anthropogenic noise, on marine and coastal ecosystems, integrating sensory ecology and conservation biology. She holds a PhD from the University of Plymouth (2019) on the behavioral impacts of noise on hermit crabs, an Erasmus Mundus MSc in Environmental Science, Policy and Management, and a dual BA in Public Administration with a focus on European Studies and Sustainable Development from German and Dutch universities. Her research interests include wildlife ecology, marine biology, sensory ecology, chronobiology, and the ecological impacts of light and noise pollution. She employs experimental and interdisciplinary approaches, collaborating with molecular biologists, oceanographers, and conservation practitioners to study animal behavior, physiology, and development under global change stressors. Her recent publications highlight trends in marine light pollution, including its effects on coral spawning, larval development of ecosystem engineers, and disruption of nocturnal foraging and migration. She has contributed to foundational methodological guides and global assessments of marine artificial light at night. Fellow of the Higher Education Academy (UK) Recipient of an Erasmus Mundus Joint Doctorate scholarship for Marine Ecosystem Health & Conservation Dr. Tidau has served as a grant reviewer for the British Ecological Society, Fondecyt, and the British Council. She is actively involved in academic networks such as the Welsh Crucible and has hosted international research programs. She is currently recruiting PhD students for projects on sustainable restoration of the European oyster under environmental change. Her collaborative work includes advising on interdisciplinary projects and contributing to large-scale ecological assessments. She has been an external examiner and visiting researcher at institutions including the University of Pisa and the Institut pluridisciplinaire Hubert Curien in Strasbourg. She is affiliated with research groups focused on marine biodiversity, light pollution, and global change, and her work bridges academic research with practical conservation applications through partnerships with NGOs and national park authorities.

Mark Gardnerمشاهده پروفایل

مدرس ارشد

• Visual Perspective-Taking
• Theory of Mind
• Social Cognition
• +۱۵ مورد دیگر

Mark Gardner is a Principal Lecturer in Psychology at the University of Westminster, Faculty of Science and Technology, Department of Psychology. He has been with the university since 2000 and serves as the course leader for the BPS-accredited MSc Psychology conversion program. He is affiliated with the Centre for Psychological Sciences and is actively engaged in research, teaching, and academic leadership. His educational background includes a PhD from University College London, supervised by Prof Cecilia Heyes, focusing on animal imitation, and postdoctoral research under Prof Lucy Yardley on attention and balance systems in a Wellcome Trust-funded project. His research spans three major areas: visual perspective-taking and its role in social cognition and mental state attribution (Theory of Mind), with implications for autism and schizophrenia; the cognitive effects of hydration , particularly how water consumption influences attention, memory, and academic performance; and higher education research , including interdisciplinary learning, open science, and the impact of lecture capture on student learning. His work integrates experimental psychology and quantitative methods. His recent publications (2018–2025) show a consistent focus on spontaneous perspective-taking, interoception, hydration effects across age groups, and educational innovations. These studies employ diverse methodologies, from behavioral experiments to longitudinal learning analytics, and are published in journals such as Journal of Experimental Psychology , Cognitive Neuropsychiatry , Appetite , and Scholarship of Teaching and Learning in Psychology . He has received the Westminster Teaching Fellowship in recognition of his contributions to pedagogy. His professional memberships include: Advance HE (since 2015) Experimental Psychology Society (since 2013) British Psychological Society (since 2011) Mark Gardner has supervised several doctoral researchers, including Tamara Przelonskowski, Rosa Leino, Jeremy Corcoran, and Maria Flynn. He has secured funding from the Experimental Psychology Society for projects such as 'Arrows or Agents? Re-evaluating evidence for implicit mentalising in the dot perspective task'. His teaching focuses on research methods, quantitative methods, and statistics for both undergraduate and postgraduate psychology students. He is actively involved in research groups and centers, particularly the Centre for Psychological Sciences , and contributes to initiatives promoting open science and interdisciplinary collaboration in education.

• Numerical Methods for Continuum Physical Modelling
• Scientific Software Development
• Computational Geometry
• +۱ مورد دیگر

Alan Correa is a PhD candidate and Scientific Researcher at the Chair of Methods for Model-based Development in Computational Engineering, RWTH Aachen University, Germany. His research advances forward solvers for thin film free surface flows over complex geometry through numerical methods, computational geometry, and automatic differentiation, with strong advocacy for open source software principles. Education Master of Science (with distinction), Computer Aided Conception and Production in Mechanical Engineering, RWTH Aachen University, Germany (2023) Bachelor of Technology, Mechanical Engineering, Sardar Patel College of Engineering, University of Mumbai, India (2017) Research Interests Alan's work spans Numerical Methods for Continuum Physical Modelling , Scientific Software Development , Computational Geometry , and Scientific Machine Learning . His PhD project integrates depth-integrated Shallow Water Equations (Surface PDEs) with computational geometry and automatic differentiation to model complex fluid dynamics. He has developed computational material models for visco-elastic hydrogels, automated 3D mesh generation systems, and state estimation software for autonomous vehicles. Publication Trends His 2024 publications demonstrate a cohesive focus on computational reproducibility through Julia-based workflows and FAIR research practices. Both papers address critical challenges in sustainable research software engineering, emphasizing reusable datasets, containerized compute environments, and transparent simulation pipelines within computational engineering and earth sciences contexts. Scientific Awards Dean's List, RWTH Aachen University (2022) Best of Class Awards, RWTH Aachen International Academy (2021) J.N. Tata Scholarship for Higher Education of Indians (2019) Best Outgoing Student Award, Sardar Patel College of Engineering (2017) Advising and Funding As a PhD candidate, Alan does not supervise students. His research is funded through his Scientific Researcher position at RWTH Aachen and scholarship support including the prestigious J.N. Tata endowment. Professional experience includes structural analysis internships at Airbus and graduate research at RWTH's Material Applications Institute. Research Environment Alan operates within RWTH Aachen's Modeling & Simulation Sciences profile area, collaborating across engineering, mathematics, and computer science disciplines. The Chair develops performant simulation methods and sustainable software implementations for model-based decision support systems, with active participation in international conferences like JuliaCon and EGU General Assembly.

• Software Engineering
• Software Quality
• Code Smells
• +۷ مورد دیگر

José Pereira dos Reis is an Assistant Professor in the Department of Information Science and Technology at ISCTE - University Institute of Lisbon, where he contributes to both teaching and research. He is also an Associate Researcher at ISTAR-Iscte, a research center focused on Information Sciences, Technologies, and Architecture. His work bridges software engineering with data science and human-centric development practices. His educational background includes a PhD in Information Science and Technology (2022), a Master’s in Computer Engineering (2008), and dual Bachelor’s degrees in Electrical Engineering and Electronic and Telecommunications Engineering from ISEL (1991, 1994). PhD in Information Science and Technology, ISCTE-University Institute of Lisbon, 2022 Master’s in Computer Engineering, FCT-UNL, 2008 Bachelor’s in Electrical Engineering - Systems and Communications, ISEL, 1994 Bachelor’s in Electronic and Telecommunications Engineering - Digital Systems, ISEL, 1991 His research interests center on Software Engineering , with a focus on Software Quality , Code Smells , and their detection through Machine Learning and collective intelligence . He explores Scientific Workflow Management Systems as tools for enabling non-programmers in data science, advocating for visual programming and parameterized templates to improve accessibility and reuse. His work also extends into Process Mining and Software Development Analytics , analyzing team efficiency and refactoring practices. The recent publications reflect a strong trend in empirical and systematic studies on code quality, visualization, and workflow systems. He frequently collaborates with researchers like F. Brito e Abreu and G. Figueiredo Carneiro, contributing to high-impact journals such as Archives of Computational Methods in Engineering and Empirical Software Engineering . His work combines technical rigor with human-centered design principles. He has been involved in research projects including: DataScience4NP : Exploring visual programming to enable non-programmers in data science using scientific workflow systems. SUSTENTURIS : Focused on sustainability and authenticity in tourism, developing tools for certification and marketing sustainable tourism products. José Pereira dos Reis supervises Master’s students, currently guiding two dissertations on Deteção de Code Smells and IDE Plugin for Metrics Collection from Java Code . He teaches courses such as Software Engineering , Software Architecture and Design , Algorithm Design and Analysis , and Object-Oriented Programming across undergraduate and graduate programs in Computer Engineering and related fields. He is affiliated with research platforms including Scopus, ORCID, Google Scholar, and ScienceVitae, and his work is widely cited across academic databases.

Doyl E. Dickelمشاهده پروفایل

استادیار

• Materials Science
• Computational Materials
• Machine Learning in Materials
• +۷ مورد دیگر

Doyl E. Dickel is an Assistant Professor in the Department of Mechanical Engineering at Mississippi State University, affiliated with the Michael W. Hall School of Mechanical Engineering within the Bagley College of Engineering. His research integrates physics-based modeling and machine learning to study materials at the atomic scale. Education: Ph.D. in Physics, Clemson University, 2011 B.S. in Physics, California Institute of Technology, 2007 His research focuses on computational materials science , particularly in developing machine learning-driven interatomic potentials to simulate large-scale material behavior. Key interests include magnetic materials , shape memory alloys like nitinol, and lightweight metallic alloys . He leverages molecular dynamics and integrated computational materials engineering to bridge quantum mechanics with macroscopic properties. His recent publications highlight advancements in hybrid potentials , neural network implementations in LAMMPS , and modeling phase transitions in tin, titanium, and zirconium . These works reflect a strong trend toward data-driven materials modeling and high-fidelity simulation frameworks . Scientific Awards: 2021 Outstanding Junior Faculty Research Award, Department of Mechanical Engineering, Mississippi State University Dr. Dickel has been involved in significant research grants through the Center for Advanced Vehicular Systems (CAVS), where he previously served as a Postdoctoral Researcher and Assistant Research Professor. He mentors students in computational materials research, though specific advisees are not listed. His lab focuses on developing open, reproducible, and rapid machine learning potentials for materials discovery. He is actively contributing to the future of predictive materials science by combining fundamental physics with modern computational tools.

• Evolutionary Biology
• Ecological Genetics
• Climate Change Biology
• +۴ مورد دیگر

Sara Irish is an Associate Tutor in the School of Biological Sciences, Faculty of Science at the University of East Anglia (UEA), where she contributes to academic instruction and research in biological sciences. She holds a PhD and is actively engaged in research related to ecological and evolutionary responses to environmental stressors. Her research interests lie at the intersection of evolutionary biology and climate change impacts, with a specific focus on paternal effects and transgenerational responses to heatwaves. She investigates how thermal stress in males can influence offspring fitness and adaptive potential, contributing to our understanding of non-genetic inheritance mechanisms in natural populations. The available publication highlights her work in ecological genetics, particularly examining whether heatwave-induced paternal changes confer adaptive benefits. This research aligns with broader concerns about biodiversity resilience under global warming, emphasizing the importance of epigenetic and non-traditional inheritance pathways in evolutionary processes. Sara Irish has contributed to peer-reviewed research published in Ecology and Evolution , and her work includes open-access datasets archived in the Dryad repository, supporting transparency and reproducibility in science. She is involved in collaborative research with several co-authors, including S. Immler, indicating active participation in a research group or team focused on evolutionary ecology and reproductive biology. No formal advisees or scientific awards are currently listed in the available information.

Christian Königمشاهده پروفایل

پژوهشگر ارشد

• Decision Making Under Risk
• Finance
• Social Norms
• +۳ مورد دیگر

Christian König is a PostDoc at the Department of Banking and Finance, University of Innsbruck, with a Venia Docendi (Habilitation) in Economics. His research focuses on decision-making under risk, social norms, and meta-research on peer review processes. He holds a PhD from Heidelberg University, a Master's in Economics from Heidelberg, and a Bachelor's in International Business Administration from the Frankfurt School of Finance & Management. König has conducted visits at institutions including the University of Sydney, Stockholm School of Economics, and Chapman University's Economic Science Institute. His work spans experimental finance, climate policy analysis, and behavioral economics. Notable contributions include studies on peer review bias (published in PNAS with extensive media coverage), financial professionals' climate perspectives, and temporal discounting. He actively contributes to oTree development, an open-source platform for economic experiments. Key collaborations include work with Stefan Trautmann, Christoph Huber, and Michael Kirchler. He has served as a referee for journals such as Journal of Banking and Finance and Experimental Economics .

• Igneous Petrology
• Geochemistry
• Mantle Heterogeneity
• +۷ مورد دیگر

Sarah Lambart is an Associate Professor in the Department of Geology and Geophysics at the University of Utah, within the College of Mines and Earth Sciences. She leads the MagMaX Lab, which focuses on experimental and analytical geochemistry of magmatic systems. She was promoted to Associate Professor with tenure in 2024 and is actively involved in research, teaching, and mentoring. Her research spans igneous petrology, mantle heterogeneity, magma genesis, melt-rock interaction, and volatile cycling . She uses high-pressure, high-temperature experiments, trace element and isotope geochemistry, and numerical modeling to understand mantle processes and crustal magmatism. Her work often involves IODP expeditions such as Exp 396 and Exp 402. The 15 most recent publications reflect a strong focus on mantle source characterization, crustal anatexis, planetary analogs, and geochemical proxies . They span studies on Earth’s mantle, continental rifts, and Mercury’s crust, using isotopic systems (B, Fe, U-series) and experimental petrology. Her work integrates field samples, lab experiments, and modeling to constrain magmatic evolution. 2024 Geology and Geophysics Faculty Research Award Fellowship Wasatch Gem Society Scholarship NSF Research Incentive Seed Grant Program Undergraduate Research Mentor Award, College of Mines and Earth Sciences (2024) G&G Outstanding Teaching Award (2022) CMES Outstanding Teaching Assistant Award (2022) She has advised numerous students, including PhD candidates and Master’s students, and has secured multiple NSF grants, including an MRI grant for a new MC-ICP-MS and an MG&G grant on hydrous pyroxenite melting. She collaborates with researchers at UNIL, VU Amsterdam, CRPG, and Western Washington University. Her lab is growing, with new PhD students joining in 2025.

Joachim Gassenمشاهده پروفایل

استاد

• Accounting
• Auditing
• Financial Transparency
• +۶ مورد دیگر

Joachim Gassen is a Professor of Accounting at Humboldt University Berlin and a Distinguished Affiliated Professor at ESMT Berlin. He serves as Deputy Speaker of the TRR 266 'Accounting for Transparency' since 2019. Habilitation in 2006, Ph.D. in 2000 (summa cum laude), and Diplom-Volkswirt in 1995. His research spans empirical accounting, financial economics, and AI applications in economics, focusing on financial transparency , IFRS adoption , carbon footprint effects , and methodological rigor in archival research. Recent work includes open science frameworks, outlier treatment in accounting studies, and regulatory impact assessments. His 15 most recent publications address topics in accounting standards, transparency frameworks, carbon reporting, and statistical methods, with keywords spanning Financial Economics , AI in Accounting , and Empirical Research Design . Awards include the 2024 AAA-AACSB-RRBM Award for societal impact, the 2018 Textbook Award, and multiple teaching honors. Co-Chair of EAA Doctoral Colloquium Associate Editor, European Accounting Review (2020-2025) Editorial Board member for 5 journals He develops open-source tools like botex (LLM experiments), ExPanDar (panel data analysis), and tidycovid19 (Covid-19 data visualization). His work emphasizes reproducibility and data-driven policy analysis.