جست‌وجوی استاد و پژوهشگر

Kyle Walkerمشاهده پروفایل

استاد

• Population Geography
• Urban Geography
• Demographic Data Visualization
• +۳ مورد دیگر

Kyle Walker serves as Professor and Chair of the Department of Geography within the AddRan College of Liberal Arts at Texas Christian University (TCU). His research bridges population geography, urban studies, and advanced data visualization techniques, with particular focus on demographic patterns in metropolitan America. He teaches core courses including World Regional Geography, Introduction to GIS, and Advanced GIS. Education Ph.D., University of Minnesota MA, University of Minnesota BA, University of Oregon Research Focus Dr. Walker's work centers on spatial analysis of demographic phenomena, specializing in migration patterns, neighborhood diversity, and immigration policy landscapes across U.S. metropolitan areas. His methodological expertise includes Geographic Information Systems (GIS) and R programming for demographic data visualization, notably developing the 'tigris' package for U.S. Census Bureau data integration. This interdisciplinary approach connects geography, demography, and public policy through rigorous spatial analysis. Publication Trends His 2011-2016 publications reveal consistent scholarly contributions across urban geography and demographic methodology. Key themes include spatial dimensions of immigration policies, neighborhood diversity mapping, and demographic visualization tools. The work spans high-impact journals in geography, demography, and data science, demonstrating strong interdisciplinary reach with particular emphasis on U.S. metropolitan contexts and methodological innovation in spatial analysis.

Thomas Tribunellaمشاهده پروفایل

استاد

• Accounting Information Systems
• XBRL and Financial Reporting
• Auditing and Compliance
• +۵ مورد دیگر

Thomas Tribunella is a Professor of Accounting and Chair of the Department of Accounting, Finance & Law at the School of Business, State University of New York at Oswego. He holds a PhD from SUNY Albany, an MBA from Rochester Institute of Technology, and a BBA from Niagara University, and is a Certified Public Accountant (CPA) in New York. With over 30 years of experience in teaching, writing, and consulting, he specializes in Accounting Information Systems, XBRL, auditing, and the integration of technology in accounting practices. Education: PhD in Accounting, State University of New York at Albany MBA, Rochester Institute of Technology BBA, Niagara University Research Interests: His work focuses on emerging technologies in accounting (e.g., XBRL, digital currencies), environmental sustainability and economic productivity linkages, audit independence, and regulatory compliance. He has authored over 60 publications, including articles on auditing standards, ethics, and the sharing economy. Recent Research Trends: His publications reflect a strong emphasis on technology-driven accounting solutions, such as digital money systems, SOC reporting, and mobile accounting applications. He also explores interdisciplinary topics like the interplay between cultural dimensions and environmental policies. Awards: Four Best Paper Awards from AIS Educator Association Conferences (2006, 2005, 2004, 2002) Exemplary Reviewer Award (2004) Teaching and Advising: He teaches courses like Accounting Information Systems and Management Information Systems (MBA 511). While no formal advisees are listed, his teaching spans undergraduate and graduate levels, emphasizing practical applications of accounting technologies. Labs/Teams: No specific labs or teams mentioned, but his research collaborations likely involve interdisciplinary groups focused on accounting technology and sustainability issues.

Caroline Jayمشاهده پروفایل

استاد

• Software Engineering
• Human-Computer Interaction
• Health Science and Medicine
• +۳ مورد دیگر

Caroline Jay is a Professor of Computer Science and Head of Research in the School of Engineering at the University of Manchester. She holds dual qualifications in Psychology (BA, CPsychol) and Computer Science (MSc, PhD), focusing on interdisciplinary research at the intersection of these fields. As Research Director of the Software Sustainability Institute, she advocates for open and reproducible science. Her research emphasizes software engineering and human-computer interaction, with applications in health science, creative media, and knowledge representation. She pioneered the Manchester branch of the BBC Data Science Research Partnership and leads the Human-Centred Design theme in Digital Futures. Notably, she was recognized as one of the 2022 Guardian's Top 50 Women in Engineering. Caroline's work addresses challenges in data visualization, AI explainability, and sustainable software practices. She has supervised 21 research projects and contributed to over 158 publications. Her projects include the Turing AI Fellowship on Human-AI collaboration and the NERC Digital Solutions Programme, addressing decision-making in environmental governance. Her awards include the 2017 Better World and Making a Difference Awards for social responsibility initiatives. She actively engages with media, contributing expert insights to outlets like The Guardian and New Scientist.

Christopher M. Keltyمشاهده پروفایل

استاد

• Science and Technology Studies
• Internet Culture
• Open Source Software
• +۷ مورد دیگر

Christopher M. Kelty is a Professor at the University of California, Los Angeles (UCLA), holding joint appointments in the Institute for Society and Genetics, the Department of Information Studies, and the Department of Anthropology. His research focuses on science and technology studies, internet culture, open source software, and the intersections of participation, technology, and the public sphere. He is the author of Two Bits: The Cultural Significance of Free Software (2008) and The Participant: A Century of Participation in Four Stories (2019). Kelty earned a Ph.D. in Science, Technology, and Society from MIT (2000). His current research includes projects on urban animals in Los Angeles, funded by UCLA's Sustainable LA initiative, and an NSF-funded study on participation in diverse domains like citizen journalism and open science. He co-edits the scholarly magazine Limn , exploring the social and cultural implications of science and technology. His work bridges anthropology, sociology, and information studies, addressing topics such as the ethics of nanotechnology, the history of software in life sciences, and the governance of participation in digital spaces. Kelty’s research emphasizes the cultural and political dimensions of technological systems, advocating for critical engagement with openness, collaboration, and the evolving role of technology in society.

Mark Fredricksonمشاهده پروفایل

مدرس

• Causal Inference
• Network Analysis
• Computational Methods
• +۳ مورد دیگر

Mark Fredrickson is a Lecturer in the Department of Statistics at the University of Michigan, affiliated with the College of Literature, Science, and the Arts. He holds a Ph.D. in Statistics from the University of Illinois at Urbana-Champaign (2018), an M.A. in Political Science from UIUC, and a B.A. in Government and Computer Science from Claremont McKenna College. His research focuses on causal inference, network analysis, computational methods, and statistical software development, with applications in social science and public policy. He has contributed to open-source tools like the Optmatch R package for optimal matching in observational studies. His work bridges statistical methodology and real-world applications, addressing challenges in high-dimensional data, network-mediated effects, and policy evaluation. Fredrickson emphasizes reproducibility and has published on topics ranging from voter turnout dynamics to environmental biomass estimation using LiDAR technology. His interdisciplinary approach integrates computational techniques with rigorous statistical frameworks to tackle complex societal questions. Notable contributions include developing permutation tests for network analysis, improving baseline equivalency measures in high dimensions, and applying machine learning to historical event analysis. He actively engages with reproducible research practices and has authored multiple technical tools for statistical computing.

Tiffany Timbersمشاهده پروفایل

عضو هیئت علمی

• Data Science
• Reproducibility
• Workflows
• +۳ مورد دیگر

Tiffany Timbers is an Associate Professor of Teaching in the Department of Statistics at the University of British Columbia (UBC), Vancouver Campus. She is also Co-Director of the Master of Data Science program’s Vancouver Option. Her work focuses on developing curricula and teaching methodologies for reproducible data science practices. She holds a PhD in Neuroscience (2012) from UBC and a BSc in Biology (2005) from Carleton University, with postdoctoral research in genomics and data science education. Key roles include teaching courses such as DSCI 523 (Programming for Data Manipulation), DSCI 524 (Collaborative Software Development), and DSCI 100 (Introduction to Data Science). She emphasizes modern software development workflows, reproducible research, and collaborative tools like GitHub, Docker, and R/Python package creation. Her research spans reproducibility practices in education, open science tools, and computational genomics. Education: PhD in Neuroscience, UBC (2012) Postdoc in Data Science Education, UBC (2017) BSc in Biology, Carleton University (2005) Labs/Teams: Active in UBC’s Data Science education initiatives, developing tools like the ubccv R package for CV generation and RUDAUX for course management systems integration. Publications: Focused on reproducibility, educational resources, and computational biology, including peer-reviewed articles and open-source textbooks. Her work bridges pedagogy and technical innovation, emphasizing ethical and reproducible practices in data science education.

Darin Christensenمشاهده پروفایل

دانشیار

• Political Economy
• Development Economics
• Conflict Studies
• +۲ مورد دیگر

Darin Christensen is an Associate Professor at the Luskin School of Public Affairs, University of California, Los Angeles. His research examines political economy, institutions, and policies promoting investment and reducing violence in developing regions of sub-Saharan Africa, Southeast Asia, and Latin America. Research Focus: Christensen's work lies at the intersection of development economics and conflict studies. He investigates how institutional frameworks and governance structures influence economic growth and stability in resource-rich environments. His methodological approach combines field experiments, natural experiments, and spatial analysis to address core questions in public policy and political economy. Publications Overview: Recent publications (2021-2025) demonstrate Christensen's focus on natural resources, conflict dynamics, and governance innovation. Key themes include: the impact of artisanal mining, conflict drivers in resource economies, citizen-led monitoring frameworks, and health system resilience. Methodologically, his work employs machine learning for geospatial analysis, meta-analytical techniques, and experimental designs across diverse contexts.

Jens Hainmuellerمشاهده پروفایل

استاد

• Statistical Methods
• Causal Inference
• Immigration Policy
• +۳ مورد دیگر

Jens Hainmueller is the Kimberly Glenn Professor of Political Science and Director of Graduate Studies in Stanford University’s Department of Political Science. He co-directs the Stanford Immigration Policy Lab and is affiliated with the Stanford Center for Causal Science, the Institute for Human-Centered Artificial Intelligence, and the Europe Center. His research focuses on statistical methods, causal inference, immigration policy, and political economy, with over 70 publications and 40,000 citations. Education: PhD in Government from Harvard University (2009), MPA from Harvard’s Kennedy School (2005), M.Sc. in International Political Economy from the London School of Economics (2003), and B.A. in Political Science from Tubingen University (2001). Research interests include developing statistical tools like synthetic control methods, entropy balancing, and GeoMatch algorithms, alongside contributions to open-source software for empirical research. His work bridges methodological innovation and substantive political questions. Notable awards include the Gosnell Prize, Warren Miller Prize, and Carnegie Fellowship. He previously taught at MIT before joining Stanford, and his lab focuses on data-driven solutions for immigration policy challenges.

Tobias Schneiderمشاهده پروفایل

دانشیار

• Nonlinear Mechanics
• Fluid Dynamics
• Dynamical Systems
• +۵ مورد دیگر

Tobias Schneider is an Associate Professor at the School of Engineering, Swiss Federal Institute of Technology Lausanne (EPFL), where he leads the Emergent Complexity in Physical Systems laboratory. He also serves as Director of the Doctoral Program Mechanics and a member of the Doctoral School Committee at EPFL. Education: PhD in Theoretical Physics (University of Marburg, Germany, 2007) Postdoctoral Fellow, Harvard University Established a Max-Planck Research Group at the Max-Planck Institute for Dynamics and Self-Organization in Goettingen (2012-2014) His research focuses on nonlinear mechanics and turbulent-laminar patterns in fluid flows transitioning to turbulence. The lab combines dynamical systems theory, pattern-formation analysis, and large-scale computer simulations to study bifurcation structures of nonlinear differential equations governing fluid dynamics. Their computational tools are published as open-source software at channelflow.ch . Teaching includes foundational courses in Fluid Mechanics and advanced topics in Turbulence . Current and past PhD students include Beck Pierre, Deshmukh Savyaraj Ravindra, Ringenbach Jean-Clément, Trottet Bertil, Yang Tian, Zheng Zheng, Ashtari Omid, Azimi Sajjad, Ferraro Alessia, Lozano Vazquez Emilio José, Reetz Florian, and Schütz Simon Sebastian.

Bernie Hoganمشاهده پروفایل

دانشیار

• Social Networks
• Social Media Design
• Network Visualization
• +۶ مورد دیگر

Bernie Hogan is an Associate Professor, Senior Research Fellow at the Oxford Internet Institute (OII), and Research Associate at the Department of Sociology, University of Oxford. He holds a PhD in Sociology from the University of Toronto (2009). His work bridges sociology and computer science, focusing on social networks, social media design, and network visualization to empower individuals and communities. Key roles include Director of Graduate Studies (2025–present), Associate Professor (2023–present), and Senior Research Fellow (2017–present). His research innovations include tools like NameGenWeb , CollegeConnect , and Network Canvas , which democratize social network data collection. He has published widely in journals such as Social Networks , CHI , and Environment and Planning B . Public engagement includes media appearances on BBC, ITV, and NBC, and collaborations with organizations like Tavistock and Relate on digital ethics. He teaches courses like Thesis Seminar and Fundamentals of Social Data Science in Python , and advises on AI ethics and digital identity.

Sharon Browningمشاهده پروفایل

استاد پژوهشی

• Statistical Genetics
• Population Genetics
• Computational Biology
• +۳ مورد دیگر

Sharon Browning is a Research Professor in the Department of Biostatistics at the University of Washington's School of Public Health. Her research focuses on developing computational methods for analyzing genetic data, particularly in population genetics and statistical genetics. She leads the Browning group, which creates tools like FLARE for local ancestry inference and identity-by-descent analysis. Education : PhD in Statistics, University of Washington BSc (Hons) in Mathematics, University of Auckland Research Interests : Dr. Browning develops stochastic models for genetic variation, including haplotype phasing, genotype imputation, and methods to detect identity-by-descent segments. Her work emphasizes computationally efficient algorithms for large-scale genomic data, with applications in population history and mutation rate estimation. Publications : Her recent work explores topics like Denisovan ancestry, mutation rate refinement using IBD, and genetic privacy risks in consumer testing. Key contributions include the FLARE software for local ancestry inference and studies on ancient human population dynamics. Awards & Roles : In 2021, she was named Senior Editor for the Statistical Genetics and Genomics section of GENETICS , reflecting her leadership in the field. Her research has been featured in Nature , NPR , and Discover Magazine . Labs/Teams : She oversees the Browning Lab , which develops open-source software for genetic analysis, including tools like hap-ibd and sprime .

Julia Roseمشاهده پروفایل

دانشیار

• Behavioral Economics
• Risk Preferences
• Experimental Economics
• +۳ مورد دیگر

Dr. Julia Rose is an Associate Professor at the Department of Applied Economics within the Erasmus School of Economics at Erasmus University Rotterdam, and a Research Fellow at the Tinbergen Institute. Her research focuses on behavioral economics, particularly decision-making under stress, risk perception, and market dynamics. She actively contributes to replicability studies in social sciences and develops experimental methods for assessing time preferences and risk attitudes. Her work integrates insights from psychology, neuroscience, and economics to understand how emotions, stress, and social contexts influence financial decisions. Notable areas include anticipatory anxiety's impact on risk-taking, the role of client-advisor matching in finance, and the reproducibility of experimental results in management science. Dr. Rose is affiliated with leading institutes like the Tinbergen Institute and maintains a strong presence in academic networks through her research on experimental asset markets, bubbles in financial markets, and behavioral nudging strategies. Her methodological contributions include open-source tools for time preference studies, advancing replicability standards in behavioral economics research.

Kiran S. (Sridhara) Kedlayaمشاهده پروفایل

استاد

• Number Theory
• Arithmetic Algebraic Geometry
• Algebraic Geometry
• +۵ مورد دیگر

Kiran S. Kedlaya is a Professor of Mathematics and holds the Stefan E. Warschawski Chair in Mathematics at the University of California San Diego (UCSD). He earned his Ph.D. in Mathematics from MIT in 2000. Prior to UCSD, he held academic positions at MIT and postdoctoral roles at institutions including MSRI and the Institute for Advanced Study. Education: Ph.D., Mathematics, MIT (2000) His research focuses on number theory, arithmetic algebraic geometry, and p-adic methods, with specialties in p-adic Hodge theory, nonarchimedean analytic geometry, and algorithms in arithmetic geometry. He contributes to open-source projects like SageMath and the LMFDB database. Awards include recognition as an ICM Speaker (2010), a Presidential Early Career Award, and fellowships from the Sloan Foundation and Clay Mathematics Institute. He serves on editorial boards and governance bodies for organizations such as the American Mathematical Society and IPAM. Current grants include NSF funding and the UCSD Warschawski Chair. He coordinates undergraduate internships (Math 197) and teaches advanced courses in algebra and mathematical software. His professional roles extend to promoting diversity in STEM through programs like BEAM and governance of initiatives like Budapest Semesters in Mathematics.

• Digital Innovation
• Machine Learning & AI
• Organizational Routines
• +۳ مورد دیگر

Dr. Zhewei Zhang is an Associate Professor at Warwick Business School specializing in digital innovation, AI systems, and computational social science. He leads the ISM-Analytics (ISMA) Group, focusing on advanced computational methods for analyzing digital trace data. His research addresses sociotechnical systems, organizational routines, and open-source software development. Education includes a PhD from Temple University (USA), MBA/MS from Baylor University (USA), and a Bachelor's degree from Tianjin University (China). Research interests span machine learning applications in digital transformation, platform economics, and metaverse integration. Recent work explores AI in litigation and education sectors, with publications in top-tier journals like Information Systems Research and Journal of Management Information Systems . His funded projects include AI systems for critical infrastructure resilience. Recipient of the Outstanding Early-Career Researcher Award and CORE Teaching Award for innovative pedagogical methods. Currently teaches modules on enterprise programming and data analytics for MSc Management students. Active in the ISMA research group exploring digital innovation ecosystems.

Vasilios Andrikopoulosمشاهده پروفایل

دانشیار

• Cloud Computing
• Software Architecture
• Sustainable Systems
• +۳ مورد دیگر

Prof. Vasilios Andrikopoulos is an Associate Professor at the University of Groningen’s Faculty of Science and Engineering, within the Software Engineering department of the Bernoulli Institute. His research focuses on Cloud-based applications, sustainable software systems, and infrastructure as code. He leads the SEARCH group, specializing in software architecture, cloud computing, and systems engineering. Research Interests: - Cloud-native systems and energy efficiency - Sustainable software engineering practices - Infrastructure cost optimization - Systems-of-systems architecture Recent work emphasizes green computing, including lifecycle management for sustainable business processes and energy-efficient cloud-native systems. His team collaborates on projects like cost-aware IaC patterns and serverless data processing frameworks. Labs/Teams: Member of the SEARCH group, which develops methodologies for cloud application engineering and systems-of-systems integration.