Jim Berryman is an Affiliate in Information Studies at the University of Glasgow's School of Humanities. His research spans art history, cultural studies, and social theory, with a focus on the intersection of art, technology, and historical narratives. He explores topics such as AI-generated art, Marxist critiques of art history, and the role of documentation in conceptual art. Berryman has conducted extensive work on Australian cultural history, including studies of national identity, colonial legacies, and the historiography of art. His research interests include the social origins of art, the ethics of cultural repatriation, and the application of digital methods to art analysis. Berryman has collaborated with institutions like the University of Melbourne on projects involving Robert Menzies’ collections and has contributed to debates around museum ethics and the representation of human remains. His interdisciplinary approach bridges art history with philosophy, sociology, and technology studies. Key Themes: AI in Art, Marxist Art Theory, Australian Cultural History, Art Documentation Publications: Over 29 peer-reviewed articles and book chapters since 2012 Collaborations: Caitlin Stone on Menzies collections, studies of Robert Hughes and Bernard Smith Berryman’s recent work examines the implications of generative AI for artistic creativity and critiques traditional historiographical frameworks. His analysis of Arnold Hauser’s theories demonstrates a commitment to reinterpreting foundational art historical narratives through contemporary lenses.
Tom Verhoeff is an Assistant Professor at the Faculty of Mathematics and Computing Science of Eindhoven University of Technology (TU/e) , working within the Software Engineering & Technology group. His research focuses on Model-Driven Engineering (MDE) , Domain-Specific Languages (DSLs) , and the intersection of mathematics, computing, and the arts . He teaches courses in data analytics, programming, algorithms, theoretical computer science , and logic . Verhoeff earned both his MSc and PhD in Technical Science (Mathematics and Computer Science) from TU/e. He is actively involved in promoting mathematics and informatics through initiatives like the annual Bridges conference , and serves as board member and treasurer of the Dutch Mathematics Olympiad , as well as chair of the Koos Verhoeff MathArt foundation . He has also held roles as guest lecturer in Lithuania and Finals Director for the ACM International Collegiate Programming Contest . Research Interests: Verhoeff’s work spans Model-Driven Engineering , domain-specific language development , and 3D geometric modeling . His scholarship often explores symmetry, recursion, and mathematical visualization , particularly through computational art and algorithmic puzzles . Recent publications highlight 3D rotation methods , knot theory , and mathematical art using lattice paths and geometric transformations . Scientific Awards: ACM ICPC European Founders Award (2004) IOI Distinguished Service Award (2007) Second Place in the 2022 Wolfram Computational Art Contest Notable Collaborations and Affiliations: He is affiliated with the Esprit Working Group on Asynchronous Circuit Design (ACiD-WG) , WIRE (TUE Mathematics Alumni) , ACM (Senior Member) , CSTA , IEEE Computer Society , and Royal Dutch Mathematical Society (KWG) .
Roles & Affiliations: Distinguished Research Professor in Statistical Science at Queensland University of Technology (QUT), Director of QUT Centre for Data Science, and Associate Member of University of Oxford's Department of Statistics. Served as Deputy Director of ARC Centre of Excellence in Mathematical and Statistical Frontiers (2015–2021) and ARC Laureate Fellow (2015–2021). Education: BA (Hons) and PhD in Mathematical Statistics from University of New England, Australia. Completed post-doctoral roles at multiple Australian universities. Research Interests: Specializes in Bayesian statistical modelling, computational methods, and their applications in environmental science, genetics, healthcare, and industry. Leads projects on coral reef recovery, cancer epidemiology (Australian Cancer Atlas), and virtual citizen science platforms like Virtual Reef Diver. Her work emphasizes interdisciplinary collaboration, integrating complex data sources with advanced statistical techniques to address real-world challenges. Publications & Grants: Over 350 refereed journal publications and attracted >30 major grants. Recent focus areas include influenza epidemiology, spatial health disparities, and AI-driven early warning systems for climate-sensitive diseases. Active in developing methodologies for spatial statistics, small-area estimation, and federated learning. Awards & Recognition: 2024 Ruby Payne-Scott Medal (Australian Academy of Science), Pitman Medal (2016), first female recipient of this award in 35 years. Elected Fellow of Australian Academy of Science (2018), Academy of Social Sciences (2018), and Queensland Academy of Arts and Sciences (2018). Holds international roles including Vice-President of International Statistical Institute (2021–2025) and Scientific Council Member at Centre International de Rencontres Mathématiques (France). Supervision & Leadership: Supervised over 36 PhD students and leads teams in >50 collaborative projects. Current supervision includes 5 PhD and 4 Masters students at QUT. Founded the QUT Centre for Data Science and previously led the Collaborative Centre for Data Analysis, Modelling and Computation. Labs & Initiatives: Core contributor to the Australian Cancer Atlas 2.0, Virtual Reef Diver project, and Queensland's Learning Potential Fund. Active in global initiatives like the World of Statistics campaign and UN Big Data Task Teams.
Brian McInnis is an Assistant Professor of Social Informatics at the University of Texas at Austin's School of Information. His research focuses on designing socio-technical systems to enhance civic problem-solving through informed discussion, combining methods like system design, policy analysis, and participatory approaches. Prior to UT Austin, he held postdoctoral positions at UC San Diego's Research Center for Optimal Digital Ethics (ReCODE) and the Design Lab. He earned a PhD in Information Science from Cornell University, an MPP from Vanderbilt University, and a BA in Economics and History from UC Davis. Education : PhD in Information Science, Cornell University (2019) Masters of Public Policy, Vanderbilt University (2008) BA in Economics & History, UC Davis (2006) Research Interests : Brian investigates how computing systems can facilitate collaborative civic engagement, particularly in digital health ethics, informed consent processes, and public policy deliberation. His work emphasizes human-centered design and participatory methods to address challenges like data privacy and algorithmic transparency. Articles Overview : His recent work explores ethical frameworks for digital health research, including informed consent innovations and data management visualization. Earlier studies examined online news moderation practices and civic design competitions. Collectively, his research bridges technology, policy, and human behavior to foster more equitable and transparent systems. Awards : 2021 CSCW Impact Recognition 2017 Cornell Teaching Award 2016 Data Science for Social Good Fellowship Advising & Grants : Brian collaborates on NSF and NIH-funded projects, including studies on ethical research design in health technologies. He has advised over 20 research projects and mentors students in HCI and public policy intersections. Labs & Teams : Affiliated with the UC San Diego Design Lab and the ReCODE Center, focusing on optimal digital ethics. At UT Austin, he leads initiatives in civic tech innovation and participatory design.
Daniel J Eck is an Assistant Professor in the Department of Statistics at the University of Illinois Urbana-Champaign within the College of Liberal Arts & Sciences. His research focuses on statistical methodology development driven by collaborations in diverse fields such as sports analytics, evolutionary biology, economics, and biostatistics. He holds a PhD in Statistics from the University of Minnesota (2017) and a BS in Mathematics from Southern Illinois University Carbondale (2009). Education: PhD in Statistics, University of Minnesota, 2017 BS in Mathematics, Southern Illinois University Carbondale, 2009 His research interests emphasize methodological innovation in areas like envelope models, variance reduction techniques, and applications in sports and ecology. Recent work explores fire effects on plant fitness, soybean genomics, and infectious disease intervention design. He actively collaborates with researchers across disciplines and mentors graduate students in statistical methods. Eck teaches courses such as Baseball Analytics and Advanced Regression Analysis. Research Trends: His articles span statistical theory (e.g., envelope estimation), applied ecology (fire-pollination interactions), and sports analytics (player performance comparisons). He balances foundational methodology with practical applications in diverse domains. Advising & Grants: Eck advises graduate students on projects in evolutionary biology and economics. While specific grant details are not provided, his research reflects active engagement with funded collaborative projects. He maintains affiliations with the Department of Statistics and has ties to computational biology and public health initiatives. Labs/Teams: While no specific lab is mentioned, his work aligns with interdisciplinary teams at UIUC and Yale School of Public Health (prior postdoctoral affiliation).
Lauren Klein is the Winship Distinguished Research Professor and Associate Professor in the Departments of Quantitative Theory & Methods and English at Emory University. She directs the Emory Digital Humanities Lab and leads the Mellon-funded Atlanta Interdisciplinary AI Network. Previously, she taught at Georgia Tech's School of Literature, Media, and Communication. Her research integrates computational methods with critical approaches to explore gender, race, and justice, producing influential works like Data Feminism (2020) and An Archive of Taste: Race and Eating in the Early United States (2020). She co-edits the hybrid print-digital series Debates in the Digital Humanities . Education: PhD in English and American Studies from CUNY Graduate Center; AB in Literature (English and French) from Harvard University. Awards include ACLS, NEH, and Mellon Foundation grants. Her work bridges data science and humanities, emphasizing ethical frameworks for AI and social justice. Director of Emory Digital Humanities Lab PI of Atlanta Interdisciplinary AI Network Editor, Debates in the Digital Humanities
Munir Squires is an Assistant Professor at the Vancouver School of Economics , University of British Columbia. His research focuses on development economics and economic history , particularly kinship systems, cultural norms, and the socioeconomic effects of cousin marriage. Education: PhD from the London School of Economics Contact: Email: Munir.Squires@ubc.ca , Office: Iona Building 257 Research Interests: Dr. Squires examines how kinship structures influence economic outcomes, including taxation, growth, and cooperative behaviors. His work spans historical data analysis, cultural economics, and experimental studies in developing economies. Recent Publications: His research trends include analyzing kinship taxation in Kenyan microenterprises, health impacts of cousin marriage, and historical census data methodologies. He also explores the intersection of mobile money networks and traditional financial systems in Africa. Teaching: He instructs ECON 442 (Issues in Economic Development) , covering topics like global economic divergence, poverty, institutional impacts, and labor/credit market dynamics.
Eamonn Bell is an Assistant Professor in the Department of Computer Science at Durham University, with affiliations to the Institute of Advanced Study. His research focuses on digital humanities, applying computational methods to musicology and examining the history of digital technology in music production. He leads projects like CCP-AHC and DISKAH to enhance digital infrastructure for arts researchers. Previously, he was a postdoctoral Research Fellow at Trinity College Dublin, studying the cultural impact of the Compact Disc. He holds a PhD in Music Theory from Columbia University (2019) and a joint degree in Music and Mathematics from Trinity College Dublin (2013). His educational background includes advanced studies in music theory, digital humanities, and mathematics. He teaches courses on algorithms, software engineering, and music processing within Durham’s Computer Science curriculum. Supervision includes postgraduate students focusing on music technology and computational analysis. Research interests span digital musicology, the history of technology, and accessibility of computational tools for non-specialists. Awards include the Government of Ireland Postdoctoral Fellowship (2019–2021). His work addresses ethical issues in genetic studies of musicality and explores emerging digital tools for music analysis, such as time-coded YouTube comments and CD data extraction techniques. Key initiatives include designing DRI projects for UK-based researchers and advancing digital skills through collaborative frameworks. He actively participates in academic conferences and has published widely on topics ranging from media archaeology to interdisciplinary computational research.
Hilairy Hartnett is a Professor at Arizona State University (ASU) with joint appointments in the School of Earth and Space Exploration and the School of Molecular Sciences. She is affiliated with the Central Arizona-Phoenix Long Term Ecological Research (CAP LTER) and the Global Drylands Center, contributing to interdisciplinary initiatives like Earth Systems Science for the Anthropocene and the Global Futures Scientists and Scholars program. Her research focuses on biogeochemical processes, astrobiology, and urban ecology. Hartnett earned an A.B. in Chemistry from Vassar College (1990) and M.S./Ph.D. in Oceanography from the University of Washington. After postdoctoral work at Rutgers University studying river and estuarine systems, she joined ASU in 2003. Her expertise spans geochemical cycles, organic reactions under hydrothermal conditions, and planetary habitability assessments. Research Interests 1. Biogeochemistry : Investigates how geochemical, microbial, and human activities influence elemental cycles in modern and ancient environments. 2. Astrobiology : Explores organic geochemistry in hydrothermal systems and its implications for life detection on icy ocean worlds like Enceladus/Europa. 3. Urban Ecology : Analyzes ecological infrastructure in arid urban environments, such as central Arizona, focusing on stormwater systems and soil-water dynamics. 4. Interdisciplinary Science : Advocates for transdisciplinary approaches to address complex planetary and astrobiological challenges. Recent Trends in Publications Her work emphasizes experimental studies of organic reactions under hydrothermal conditions, leveraging mineral interactions to refine biosignature detection criteria for exoplanets. She also collaborates on global-scale initiatives like the TREC team to integrate elemental abundance data into planetary evolution models. Urban ecology research highlights innovative methods for water sustainability in hyperarid regions like the Atacama Desert. Advising & Grants While no formal advisees are listed, Hartnett leads collaborative research teams and participates in major programs (e.g., CAP LTER, Global Drylands Center). Grant details are not explicitly provided but inferred from her involvement in interdisciplinary projects and experimental facilities. Labs/Teams Affiliated with the Central Arizona-Phoenix LTER, Global Drylands Center, and the TREC team. These collaborations support her work on planetary habitability, astrochemical reactions, and urban biogeochemical processes.
Parker VanValkenburgh is an Associate Professor of Anthropology and Associate Professor of Archaeology and the Ancient World at Brown University. His research employs archaeological methods to address anthropological questions, focusing on colonialism and imperialism's impacts on Indigenous people and environments in the Peruvian Andes. He directs the Brown Digital Archaeology Laboratory and co-directs several major projects including the Paisajes Arqueológicos de Chachapoyas (PACha) project and GeoPACHA (Geospatial Platform for Andean Culture, History and Archaeology). His educational background includes: PhD from Harvard University (2012) MA from University of London (2005) MPhil from University of Cambridge (2004) BA from Stanford University (2003) VanValkenburgh's research focuses on the long-term impacts of colonialism and imperialism on Indigenous people and environments in the Peruvian Andes. Through studying architecture, ceramics, environmental datasets, and archival documents, he explores how relationships between people, institutions, and environments transform during imperial histories. His work emphasizes how survival and resilience strategies developed by communities dealing with empires are passed down across generations. He applies digital methodologies, particularly GIS, to map and analyze social, political, and environmental change in space and time, while also critically examining how digital mediation transforms archaeological practice. His recent publications reveal a strong trend toward integrating advanced computational methods with archaeological research. There's a clear emphasis on using AI, machine learning, and remote sensing technologies to enhance archaeological survey and analysis in the Andes. His work spans traditional archaeological topics like landscape, ceramics, and colonial architecture with cutting-edge digital approaches including vision foundation models, point cloud processing, and semi-supervised learning for identifying ancient urbanization patterns. His scientific achievements have been recognized with numerous awards: John Carter Brown Faculty Fellow (2023-24) Meenakshi Narain Excellence in Research Mentoring Award (Brown University, 2023) William G. McLoughlin Award for Excellence in Teaching in the Social Sciences (2021) Cogut Center for the Humanities Faculty Fellowship (2018) American Council of Learned Societies Fellowship (2017) VanValkenburgh has successfully secured substantial research funding for multiple projects. His Paisajes Arqueológicos de Chachapoyas (PACha) project has received NSF funding through 2025, while his GeoPACHA initiative has garnered support from ACLS and SPARC grants. He also co-directs the 'Mapping Historical Trauma in Tulsa, 1921-2021' project. His teaching portfolio includes courses on Geographic Information Systems, cartography, critical digital archaeology, and the archaeology of the Andean region, for which he received Brown's prestigious teaching award. He directs the Brown Digital Archaeology Laboratory, which serves as a hub for integrating digital methodologies with archaeological research. His collaborative network includes scholars from institutions like Vanderbilt University (Steven Wernke) and the University of Tulsa (Alicia Odewale), reflecting his commitment to interdisciplinary research that bridges archaeology, anthropology, and digital humanities.
Timothy D. O'Connor is an Associate Professor in the Department of Medicine at the University of Maryland School of Medicine, serving as Co-Director for the Program in Health Equity and Population Health (HEPH). His research focuses on the evolutionary and population genetic influences on disease and phenotypic diversity, integrating evolutionary theory with large genomic datasets. He leads the O’Connor Evolutionary Genomics Group, emphasizing collaboration and multi-omics approaches. Education: B.S. Bioinformatics, Brigham Young University (2001-2007) Ph.D. Evolutionary Genetics, University of Cambridge (2007-2011), supported by the Gates Cambridge Scholarship Senior Research Fellow, University of Washington (2010-2013) Research Interests: Dr. O’Connor’s work spans human evolutionary genetics, computational biology, and genetic epidemiology. His lab develops novel algorithms to analyze large genomic datasets, with a focus on New World populations, including studies of Peruvian genomic dynamics, malaria parasite migration, and the evolutionary origins of phenotypic diversity. He emphasizes interdisciplinary collaboration and the application of evolutionary principles to modern biomedical challenges. Grants & Awards: NIH/NIAID R01 (2020-2025): $499,998 for malaria genomic migration studies in Cambodia/Thailand NIH/NIGMS R35 (2019-2024): $299,713 for evolutionary multi-omics research 2021 Faculty Mentoring Award 2019 Teacher of the Year Award Labs & Collaborations: His lab is part of the TOPMed Program, co-leading the Population Genetics Working Group. He also collaborates on projects like the Peruvian Genome Project and the Gynecological Cancer Center of Excellence. His work bridges academia and clinical practice, addressing disparities in genomic medicine through initiatives like the PENGUIN model for patient engagement.
Kaitlyn Crawford is an Associate Professor of Materials Science and Engineering at the University of Central Florida, with a secondary appointment in Chemistry. She directs the Functional Materials and Sensors Lab, focusing on sustainable soft materials for flexible electronics and biomedical applications. Her research integrates polymer science and engineering to develop wearable sensors for health monitoring, biodegradable materials to reduce e-waste, and natural polymer composites. Current projects include a $1.5M DHS-funded wearable for firefighter heat-stress monitoring and NASA-funded space applications. Her recent publications emphasize sustainable polymers, bionic devices, and AI-driven diagnostics. Awards include the 2024 ACS PMSE Early Investigator Award and a Jewish National Fund fellowship. She leads multiple graduate students in biomedical and materials research. Awards: 2024 ACS PMSE Early Investigator Award Faculty Fellowship Program in Israel, Jewish National Fund Faculty Excellence Honoree, Women’s History Month (UCF)
Deborah McGuinness is a Professor of Computer Science, Cognitive Science, and Industrial and Systems Engineering at Rensselaer Polytechnic Institute (RPI), holding the Tetherless World Senior Constellation Chair. She leads research in semantic web technologies, ontology engineering, explainable AI, and applications in health and environmental informatics. Her work emphasizes semantic technologies to enhance human-machine collaboration through knowledge representation and reasoning. Education: B.S./B.A. (Computer Science & Mathematics, Duke University, 1980), M.S. (Computer Science, UC Berkeley, 1981), Ph.D. (Knowledge Representation, Rutgers University, 1997). Research interests include: ontology creation/evolution, commonsense AI, machine learning fairness, clinical decision support systems, knowledge graphs for scientific data, and policy modeling. Recent work focuses on AI explainability, semantic data dictionaries for public health surveys, and leveraging knowledge graphs for personalized health recommendations. Her publications span semantic web standards, AI commonsense benchmarks, clinical informatics applications, and policy frameworks. Notable projects include the Explanation Ontology for user-centered AI and the CHEAR Data Repository for environmental health research. McGuinness has pioneered semantic technologies for data integration across diverse domains like nanomaterials science and stroke care policy analysis.
Dr. Raj M. Manglik is a Professor of Mechanical & Materials Engineering and Director of the Thermal-Fluids & Thermal Processing Laboratory at the University of Cincinnati. His research focuses on interfacial phenomena, molecular dynamics, heat transfer enhancement, and thermal systems design. He holds a Ph.D. from Rensselaer Polytechnic Institute, an M.S. from Iowa State University, and a B.Tech. from Indian Institute of Technology Madras. Dr. Manglik has secured over $9.5M in grants, including recent projects on advanced dry-cooling systems, 3D printed ceramic heat exchangers, and thermal energy storage. His work spans experimental and computational studies of heat exchangers, non-Newtonian fluids, and phase-change materials. He has authored numerous peer-reviewed publications and co-edited books such as Principles of Heat Transfer . Awards include the ASME Heat Transfer Memorial Award (2016), ASME James Harry Potter Gold Medal (2018), and multiple university teaching and research accolades. His lab explores topics like boiling heat transfer, drop impact dynamics, and energy-water nexus solutions in power plants.
James E. Anderson serves as the William B. Neenan, S.J. Millennium Professor in the Department of Economics at Boston College. His research centers on international trade theory, with particular expertise in gravity models, trade policy analysis, and economic history. Anderson maintains an active research program with recent publications addressing contemporary trade challenges including the China shock and zero trade flows. His research interests focus on International Economics and Economic History , specializing in gravity model applications, trade policy diagnostics, and the interplay between institutions and trade patterns. Anderson's work bridges theoretical frameworks with empirical trade analysis, often developing novel methodologies for measuring trade restrictiveness and policy impacts. His influential 2003 paper "Gravity with Gravitas: A Solution to the Border Puzzle" (co-authored with Eric van Wincoop) revolutionized trade cost measurement. Anderson's publication trends reveal sustained contributions to trade theory since the 1990s, with recent work emphasizing non-parametric gravity approaches, export diversification dynamics, and institutional impacts on North-South trade. His research consistently addresses methodological challenges in trade modeling while providing policy-relevant insights for trade liberalization and agreement design. William B. Neenan, S.J. Millennium Professor (endowed chair) Anderson maintains an extensive research portfolio with over 30 working papers through Boston College's Economics Department. His work includes significant contributions to trade policy aggregation methods, tariff reform diagnostics, and the development of computable general equilibrium models for trade analysis. Anderson actively collaborates with leading economists including Yoto V. Yotov, J. Peter Neary, and Eric van Wincoop, and disseminates his research through RePEc, Google Scholar, and his personal website.
