Maria Fernandez is an Associate Professor at Cornell University's College of Arts and Sciences, Department of History of Art and Visual Studies. She holds a Ph.D. from Columbia University and specializes in the history and theory of digital art, cybernetics, feminist media arts, and posthumanism. Ph.D., Columbia University Research Focus : Maria's work bridges cybernetics, feminist media arts, posthumanism, new materialism, BioArt, and AI in art. She investigates how women artists in new media contribute to posthumanist and new materialist discourses, with a current book project on British cybernetician Gordon Pask. Publications span digital art history, Latin American modernism, and feminist cybernetics. Her articles appear in Leonardo , Art Journal , and Third Text , with a focus on interactivity, media theory, and technological aesthetics. Scientific Awards : Arvey Book Award by the Association for Latin American Art (2015) She co-edited Domain Errors: Cyberfeminist Practices (2002) and Latin American Modernisms and Technology (2018). Her advising policy emphasizes formal departmental application reviews.
Professor Will Bateman is a distinguished academic at the Australian National University (ANU) College of Law, where he serves as a Professor and recently completed his term as Associate Dean (Research) from 2021 to 2024. He is also a Chief Investigator for the ANU Grand Challenge project "Humanising Machine Intelligence" and a Fellow at the Gradient Institute, a leading ethical AI research organization based in Sydney. Professor Bateman's educational background is impressive, having earned a PhD and LLM (Hons) from the University of Cambridge and a BA/LLB (Hons) from the Australian National University. Prior to his academic career, he worked in appellate litigation, commercial disputes, and banking as a solicitor at Herbert Smith Freehills, and served as an associate to Justice Stephen Gageler AC of the High Court of Australia and Justice Steven Rares of the Federal Court of Australia. Professor Bateman's research spans two major interdisciplinary domains that sit at the intersection of law with finance and technology. His work on financial regulation focuses on the legal aspects of central banking, sovereign debt markets, digital currencies, and sustainable investing. He has provided expert evidence to the UK Parliament's House of Lords Inquiry into Quantitative Easing, and has collaborated with major financial institutions including the Federal Reserve Bank of New York and the Bank of England. His research on artificial intelligence examines regulatory frameworks for AI in the public sector, with collaborations including the Minderoo Foundation and the Gradient Institute. His recent publications demonstrate a remarkable breadth across legal theory, financial regulation, and AI governance. The articles reveal a consistent theme of examining how traditional legal frameworks adapt to new financial technologies and monetary policy challenges. His work bridges theoretical legal scholarship with practical policy implications, as evidenced by his numerous government consultations and collaborations with central banks worldwide. 2020 Yorke Prize by the University of Cambridge for his work on public finance and constitutionalism Top 10 all-time most downloaded SSRN paper on central banking ("Central Bank Money: Liability, Asset, or Equity of the Nation?") Professor Bateman actively supervises research students, currently mentoring Benjamin Ettinger who is pursuing a PhD on "Legal Method, Cartels and Public Monopolies: A View From the High Court 1908 - 1948." He has secured significant research funding, including projects funded by the Economic and Social Research Council (UK), the German Research Foundation (Deutsche Forschungsgemeinschaft), and The Minderoo Foundation. His "Rebuilding Macroeconomics Initiative: Legal and Economic Conceptions of Money" received £245,000, while the "FA Mann" project was funded with €620,000 (approximately A$1,012,500). He leads the "Humanising Machine Intelligence" project, an ambitious interdisciplinary initiative involving computer scientists, mathematicians, philosophers, sociologists, psychologists, and lawyers aimed at developing democratically legitimate machine intelligence. He also co-led a major project with the University of Western Australia to formulate model legal frameworks for AI regulation in the public sector, funded by The Minderoo Foundation.
Julian Jara-Ettinger is an Associate Professor of Psychology and Computer Science at Yale University. He holds a Ph.D. from MIT (2016). His research focuses on understanding the cognitive and computational mechanisms underlying human social behavior, including fairness, linguistic communication, gesture, moral reasoning, and pedagogy. He employs interdisciplinary methods such as computational modeling, eye-tracking, cross-cultural studies, and developmental research to bridge psychology and artificial intelligence. Key research areas include the development of social cognition in children, the integration of theory of mind with communication, and the application of cognitive science principles to build socially intelligent machines. His work emphasizes how humans infer others' knowledge, intentions, and desires, with implications for AI safety and ethical systems design. Publications span topics like epistemic inference, moral judgments, and the computational foundations of social interaction. His lab's research often intersects with evolutionary simulations, neural modeling, and cultural psychology. No scientific awards are explicitly mentioned in the provided text. Collaborations involve cross-disciplinary teams addressing challenges in developmental science, AI ethics, and cognitive robotics. His work has practical applications in educational strategies, social policy, and human-AI collaboration frameworks.
Luciano Floridi is the Professor of Philosophy and Ethics of Information at the University of Oxford, directing the Digital Ethics Lab at the Oxford Internet Institute (OII). He holds multiple roles including Distinguished Research Fellow at the Uehiro Centre for Practical Ethics and Research Associate at the Department of Computer Science. Additionally, he is Faculty Fellow at the Alan Turing Institute and Adjunct Professor at the American University, Washington D.C. His research focuses on Digital Ethics, AI Ethics, Philosophy of Information, and Technology, with over 150 publications and influential books like *The Fourth Revolution* and *The Ethics of Information*. Floridi earned his laurea from Rome University La Sapienza (1988), followed by an MPhil and PhD from the University of Warwick (1989–1990). He has held positions at Oxford since 1990, including roles at Wolfson College, the Warburg Institute, and the University of Hertfordshire (2009–2014) where he held a UNESCO Chair in Information Ethics. His academic journey includes postdocs with Susan Haack and Michael Dummett, shaping his expertise in logic and epistemology. His research interests span Digital Ethics, AI ethics, and the Philosophy of Technology, with notable work on information warfare ethics and the governance of emerging technologies. He contributed to policy initiatives like the European Commission’s *Onlife Initiative* and advises bodies such as the EU’s Ethics Advisory Group and the UK’s House of Lords. Floridi is a leader in global digital ethics, influencing frameworks for AI governance and privacy. Floridi has received numerous awards, including the Barwise Prize (2009) and Weizenbaum Award (2013). He chairs the Alan Turing Institute’s Data Ethics Group and collaborates with institutions like Tencent and Google on ethical AI. His upcoming role as Founding Director of Yale’s Digital Ethics Center (2023) underscores his continued impact on global digital ethics discourse. Key achievements include pioneering the Philosophy of Information as a discipline and advocating for infraethics—the ethical foundations enabling moral systems. His work bridges academic theory and real-world policy, addressing challenges like data privacy, algorithmic accountability, and AI’s societal implications.
Prof. Dr. Oliver Krüger is a behavioral ecologist and evolutionary biologist at Bielefeld University 's Faculty of Biology , where he leads the Department of Animal Behaviour since 2013. His research spans avian and marine mammal systems, focusing on life history strategies, parasite-host interactions, and environmental adaptation. Education: Biology studies at Bielefeld University (1994-1996) MSc in Oxford (1996-1997) PhD at Bielefeld University with Fritz Trillmich and Jan Lindström (1998-2000) Research Themes: Behavioral ecology, evolutionary biology, and population dynamics across tropical and temperate ecosystems. Key projects include NC³ (Niche Choice/Construction) and studies on Galápagos sea lions, common buzzards, and pinniped species. Scientific Leadership: Spokesperson, SFB TRR 212 "NC³" (2018-2025) Advisory Board member: German Ornithologists Union, IUCN SSC pinniped group, German Primate Centre Peer review roles: Humboldt Foundation, DFG, HFSP, NSF Awards: Leopoldina Prize (2001) Niko Tinbergen Award (2008) DFG Heisenberg Professorship (2010-2015)
Ximian Xu (preferred name: Simeon) is a Senior Research Associate in the Faculty of Divinity at the University of Cambridge , with a PhD in Systematic Theology from the University of Edinburgh (2020). His research bridges theology with technology, focusing on artificial intelligence (AI) ethics, Dutch Neo-Calvinism, Karl Barth, and contextual theology in mainland China. Xu’s work explores the intersection of AI and Christian ethics, the role of Reformed theology in contemporary Chinese Christianity, and the ontological implications of technology on human sustainability. Research Interests Theology and Technology (AI, Surveillance) Dutch Neo-Calvinism (Herman Bavinck) Karl Barth Contextual Theology (Reformed in China) Grants and Organisational Roles He received the CAHSS KE Grant for the workshop "Artificial Intelligence and the Christian Churches" and the Alan Turing Institute Postdoctoral Enrichment Award for research on AI in pastoral care. Xu co-founded the Studies in Dutch Neo-Calvinism Series (Chinese) and is a co-editor for its publications. Publications and Awards His recent works include studies on AI’s moral agency, technomoral futures, and Reformed theological frameworks. Xu’s book The Digitalised Image of God: Artificial Intelligence, Liturgy, and Ethics (2024) addresses AI’s theological challenges. He has contributed to journals like Perspectives on Science and Christian Faith and Modern Theology .
Pontus Johnson is a Professor at the KTH Royal Institute of Technology in Stockholm, Sweden. He leads the Center for Cyber Defense and Information Security (collaborating with Swedish Armed Forces, FRA, MSB, FOI, FHS) and serves as vice director of Cybercampus Sweden since 2024. His research focuses on cybersecurity , enterprise architecture analysis , and probabilistic threat modeling , particularly through his development of the Meta Attack Language (MAL) for simulating cyber attacks on networked systems. Education: MSc in Computer Science, Lund Institute of Technology (1997) PhD in Computer Science, KTH (2002) Docent title, KTH (2007) Leadership Roles: Director, Center for Cyber Defense and Information Security (2013–present) Vice Director, Cybercampus Sweden (2024–present) Board Member, Swedish Research Council (2025–present) Deputy Chair, Swedish Royal Academy of Engineering Sciences (IVA) Board (2024–present) His work spans cybersecurity research , attack simulation methodologies , and enterprise architecture frameworks . He has developed tools like securiCAD (acquired by Google) and pwnPr3d for probabilistic threat modeling. His 15 most recent publications highlight advancements in graph-based attack simulations , automated security assessments , and AI applications in cyber defense . Scientific recognition includes: Listed among Tech Awards Sweden's 50 Most Influential People in Swedish Tech (2022, 2023) Discovery of vulnerability in the Universal Turing Machine (2021) He supervises 16 PhD students and alumni (2005–2024), including Simon Gökstorp , Jakob Nyberg , and Sotirios Katsikeas . His academic service includes over 50 program committee roles and leadership positions in international conferences. He contributes to both academic and public domains through media appearances (SVT, Aftonbladet), courses in ethical hacking , and industry collaboration via his role at Google (20% of his time). His research group Software Systems Architecture and Security (SSAS) focuses on predictive security frameworks and system-of-systems analysis.
Steven Kelts is a Lecturer at Princeton University, affiliated with the School of Public and International Affairs (SPIA) and the Department of Computer Science . He leads the Integrated Ethics in CS program and has served as Director of the non-profit All Tech Is Human. Research Focus: Kelts examines ethical frameworks in technology innovation, historical political economies, and the intersection of democratic theory with corporate responsibility. His work spans Measuring ethics education in computing Evolving corporate structures for ethical action Locke's economic justice theories Machiavelli's republican ideals Madison's institutional designs Publications reveal trends in: Utilitarian logic in Agile teams Roman censorship models 17th-century English economic debates Mill's social value legislation Scientific Recognition: Recipient of Princeton's Council on Science and Technology grants for Agile Ethics program Google seed grant for corporate ethics frameworks University-wide award for GradFutures AI ethics leadership Advisory Roles: Includes ethics advisor to the Responsible A.I. Institute and institutional design mentor for political theory projects.
Graham Dobereiner is an Associate Professor and Robert L. Smith Early Career Professor in the Department of Chemistry at Temple University's College of Science and Technology. He received his Ph.D. from Yale University (2011) and completed postdoctoral research at MIT (2012-2014) after earning his B.S. from Brandeis University (2007). His research group develops novel homogeneous transition metal catalysts for synthetic chemistry applications spanning fine chemicals manufacturing, petrochemical processing, and drug discovery. The work integrates organometallic chemistry principles, combining organic molecular diversity with inorganic compound reactivity. Research areas include catalytic isomerization, oxidative synthesis, ligand design, and mechanistic studies of transition metal complexes. Analysis of his recent publications demonstrates strong emphasis on reaction mechanism elucidation, catalyst design for stereoselective transformations (particularly Z-selective isomerizations), and development of novel catalytic systems for sustainable synthesis. His group employs computational and experimental approaches to advance synthetic methodology.
Atreyi Kankanhalli is a Professor at the National University of Singapore, specializing in Information Systems with a focus on knowledge management, healthcare IT, and digital innovation. Their research spans over three decades, with prolific contributions in top journals like MIS Quarterly, Journal of AIS, and Information & Management. They have co-authored over 150 papers addressing topics such as crowdsourcing, online communities, and the impact of AI on scholarly practices. Notable work includes studies on user adherence to health apps, innovation in public sector data utilization, and the ethical challenges of generative AI in peer review. Kankanhalli has also led research on global virtual teams and digital technologies' role in social justice, reflecting a commitment to both technical and societal dimensions of information systems. Education & Background: While specific degree details are not provided, their extensive publication history and academic roles imply advanced qualifications in Information Systems or related fields. They have collaborated with global researchers across institutions like NUS, University of Illinois, and Singapore Management University. Research Themes: Core areas include digital health interventions (e.g., fitness app adherence), organizational innovation via open data and crowdsourcing, and the socio-technical challenges of AI in academia. Their work often bridges theoretical frameworks with practical applications, such as healthcare decision support systems and policy-driven technology adoption. Impact & Influence: As an editorial board member and frequent conference contributor (e.g., ICIS, PACIS), Kankanhalli shapes the field's research agenda. Their recent focus on generative AI's implications highlights proactive engagement with emerging technologies' ethical and methodological challenges.
Dr Duncan Smith is an Associate Professor in GIS and Visualisation at the Centre for Advanced Spatial Analysis (CASA) at University College London (UCL). He serves as Programme Co-Director for the MSc Urban Spatial Science, focusing on digital visualisation and Geographical Information Systems (GIS) education. His research emphasizes urban sustainability, transport accessibility, and interactive urban visualisation, with a particular interest in global mega-cities like London, Singapore, and São Paulo. Dr Smith holds a PhD from UCL (2011), an MSc from the University of Edinburgh (2005), and a BA (2003). His recent projects include leading the ESRC-funded Driving Urban Transitions project (2024) exploring sustainable travel in small cities and outer metropolitan areas. Previously, he was Co-Investigator on the SIMETRI project (NSFC JPI Urban Europe) analyzing urban sustainability in London, the Randstad, and China's Greater Bay Area. His research interests span urban visualisation techniques, transport equity analysis, and polycentric urban development. Key areas include GIS-driven urban modelling, accessibility metrics, and the intersection of housing policy with sustainable urban form. His interactive visualisations, available on citygeographics.org , showcase innovative approaches to spatial data presentation. Dr Smith's work consistently addresses global sustainability challenges through geospatial methodologies. Recent studies highlight inequalities in transport accessibility and the spatial implications of urban policies. Upcoming projects will further investigate small-city mobility dynamics using multi-national collaborations with Amsterdam and Lisbon researchers.
Beth St. Jean is an Associate Professor and Faculty Director of the Carillon Community in Health Justice at the University of Maryland’s College of Information Studies (College Park). She holds a PhD and MS in Information from the University of Michigan School of Information and a BA in Mathematics from Smith College. Her research focuses on improving health outcomes through understanding health-related information behaviors, health literacy, and self-efficacy. She co-authored Understanding Human Information Behavior (2021) and leads projects like HackHealth to enhance youth health literacy. Education: PhD in Information, University of Michigan School of Information (2012) MS in Information (LIS), University of Michigan School of Information (2006) BA in Mathematics, Smith College (1988) Research Interests: Health informatics, health justice, consumer health information behavior, health literacy, youth digital practices, and information literacy. Her work emphasizes addressing health disparities through information access and education. Recent Research Trends: Her publications explore topics like long-haulers’ information needs (2024), pandemic-era health justice (2023), and social media’s role in predicting health disparities (2022). She also investigates patient-generated health data challenges (2022) and library roles in promoting health equity (2020). Awards and Recognition: ASIS&T SIG-USE Innovation Award (2017) ACM SIGCHI Excellent Reviewer (2017) ALISE/LMC Paper Award (2015) Beta Phi Mu/LRRT Research Award (2014) Teaching and Grants: Teaches courses on information behavior, research methods, and consumer health informatics. Co-PI on grants like HackHealth 2.0 (NIH, $123K) and youth health literacy initiatives ($68.5K). Also serves as Assistant Director of the Information Policy & Access Center and Senior Fellow at CASCI. Labs and Initiatives: Leads the Carillon Community in Health Justice and collaborates on projects like the HackHealth after-school program to engage disadvantaged youth in health entrepreneurship.
Hanna Halaburda is an Associate Professor of Technology, Operations, and Statistics at the Leonard N. Stern School of Business, New York University, where she joined in 2019. Her research lies at the intersection of economics, technology, and digital platforms, with a strong focus on blockchain, cryptocurrencies, and platform competition. She has published extensively in top academic journals and co-authored the seminal book Beyond Bitcoin: The Economics of Digital Currencies . PhD in Economics, Northwestern University MA in Economics, Warsaw School of Economics MA in Philosophy, Warsaw University Her research interests center on the economic implications of digital transformation. She investigates how blockchain technology reshapes trust, governance, and competition in digital markets. Her work explores token design, consensus mechanisms, smart contracts, and the strategic use of decentralization in platforms. She also studies platform competition under network effects, consumer choice, and omnichannel marketing. A recurring theme is how digital technologies alter traditional economic forces and business models. The most recent articles show a strong trend toward analyzing the governance, security, and economic design of blockchain systems. Her work combines rigorous theoretical modeling with empirical insights, often applying game theory and industrial organization frameworks. Topics include permissioned vs. permissionless blockchains, the role of cryptographic tokens in coordination, and the macroeconomic implications of digital currencies. She also contributes to debates on Web3, AI, and the future of digital platforms. Scientific awards and recognitions include: ISR Best Paper Published in 2022 Runner-Up Lead article in RAND Journal of Economics Best Paper Award at Tokenomics 2023 Best Paper Award at WISE 2023 Best Paper Finalist at WISE 2022 and WISE 2021 Hanna Halaburda has advised and collaborated with numerous researchers and institutions. Her co-authors include leading scholars from Harvard, NYU, and international universities. She has received research recognition through best paper awards and invitations to contribute to high-impact journals and policy discussions. Her work has been supported by academic and policy institutions, including the Bank of Canada, where she previously served as a senior economist. She frequently publishes in both academic and practitioner outlets, including Harvard Business Review and Nature Human Behavior , indicating strong translational impact. She is actively involved in research teams focused on digital assets, blockchain governance, and platform economics. While no formal lab is mentioned, her extensive list of working papers and collaborations suggests leadership in a dynamic research group at NYU Stern. Her recent work on DAOs, public crypto mining firms, and CBDCs indicates ongoing, forward-looking research programs with real-world policy and business implications.
Dennis W. Duke is a Professor of Physics at Florida State University, with a joint appointment in the Department of Physics within the College of Arts and Sciences and the School of Computational Science. He has been a faculty member at FSU since 1979, progressing from Visiting Assistant Professor to his current position as full Professor since 1992. Duke has also held significant leadership roles including Director of the Supercomputer Computations Research Institute (1993-1998) and Director of the San Diego Supercomputer Center (1996-1997). Duke's research spans multiple disciplines with primary focuses on the history of ancient astronomy, computational physics, and high-performance computing. His work in ancient astronomy includes detailed studies of Greek, Babylonian, and Indian astronomical traditions, with particular emphasis on planetary models, trigonometry development, and historical measurement techniques. In computational science, he has made contributions to nonlinear dynamics, chaos theory, and statistical process control. Duke is particularly known for creating educational computer animations of ancient planetary models that have become valuable teaching tools. Analysis of Duke's 15 most recent publications reveals a consistent focus on historical astronomy, with approximately 75% of his work dedicated to analyzing ancient astronomical systems from Greek, Babylonian, and Indian traditions. The remaining publications address statistical methods and computational techniques. His historical research often combines mathematical analysis with historical scholarship to reconstruct and understand ancient astronomical practices. COFRS Award, The Florida State University (1985) COFRS Award, The Florida State University (1986) Developing Scholar Award, The Florida State University (1986) President's Continuing Education Award, The Florida State University (1992) Duke has been extensively involved in professional service, serving on numerous national committees related to supercomputing and organizing major conferences including multiple Supercomputing 'XY events from 1988 through 2006. His teaching extends beyond traditional academic boundaries through public outreach initiatives such as chairing the Board of Directors for Tallahassee Free-Net, Inc. and serving on the Leon County Schools Information Services Advisory Board. He has supervised numerous graduate students in computational physics and the history of science, though specific student names are not documented in the provided materials. Duke maintains an active research laboratory focused on computational ancient astronomy, where he develops mathematical models and computer animations to visualize historical astronomical concepts. His team has created an extensive collection of interactive animations demonstrating planetary models from Ptolemy through Copernicus, which are widely used in educational settings. Current projects include further analysis of ancient star catalogs and the development of more sophisticated visualization tools for historical astronomical concepts.
Westley Weimer is a Professor in the Department of Electrical Engineering and Computer Science (EECS) at the University of Michigan, College of Engineering. He teaches advanced courses such as EECS 590 (Advanced Programming Languages) and EECS 481 (Software Engineering), and has previously taught at the University of Virginia. His research integrates software engineering, programming languages, and cognitive science, focusing on automated program repair, program analysis, and the neuroscience of code comprehension. University: University of Michigan School: College of Engineering Department: Department of Electrical Engineering and Computer Science Academic Rank: Professor His research interests include automated program repair (e.g., GenProg), software quality, cognitive modeling of programming, neuroimaging studies of code review, and the application of medical imaging to software engineering. He explores deep questions at the intersection of consciousness, time, and computation, advocating for interdisciplinary approaches to understanding the mind through programming behavior. The most recent publications reflect a trend toward empirical and cognitive studies in software engineering, combining automated repair with human factors, neuroimaging (fMRI, TMS), and real-world software challenges. Themes include bias in code review, programming under cognitive influences, and the neurological basis of code comprehension. His work increasingly bridges computer science with psychology, neuroscience, and social science. Scientific awards include multiple Distinguished Paper Awards at ICSE, FSE, and ESEC/FSE, Best Paper and Runner-up awards, and several 10-Year Most Influential Paper Awards from ASE, GECCO, POPL, and ASPLOS, recognizing the lasting impact of his contributions to automated software repair and program analysis. He has advised numerous PhD and Master’s students, many of whom have gone on to faculty positions or industry research roles. He contributes to academic service through organizing diversity and inclusion initiatives, maintaining graduate career resources, and promoting ethical and inclusive practices in computing. He leads a vibrant research group focused on improving software quality through both technical and human-centered innovations, with ongoing projects in automated repair, cognitive modeling, and secure systems.
