Claus Bossen is a Professor at the Department of Digital Design and Information Studies within Aarhus University's School of Communication and Culture. His research bridges participatory design, healthcare digitization, and data work. Primary Affiliation: School of Communication and Culture, Department of Digital Design and Information Studies Research Focus: Data-driven healthcare, information infrastructures, and participatory design Email: clausbossen@cc.au.dk Research Interests span critical areas in healthcare digitization, including: Emergence of data work professions Human-AI collaboration in clinical documentation Design of healthcare information systems Infrastructure governance and quality improvement Digitization's impact on non-clinical staff Participatory design scaling mechanisms Recent Publications (2024-2025) show a trajectory toward: Global-local data integration challenges Professional adaptation in data-intensive settings Digitization's soco-technical implications Empowerment through data work practices Emergency healthcare system analysis Human-AI collaboration frameworks Current Projects include: LIVSTEGN: Monitoring technologies for safe dementia care Making Data Work Visible: Professional changes in healthcare Acute healthcare treatment pathways
Morgan Currie is a Senior Lecturer in Data & Society at the University of Edinburgh's School of Social and Political Science. They lead the Culture & Communities Mapping Project and co-lead Edinburgh Futures Institute's Critical Data Studies Cluster, focusing on open data, administrative data systems, and social justice implications of datafication. PhD in Information Studies, University of California, Los Angeles (2017) MLIS, University of California, Los Angeles (2016) Masters in New Media, University of Amsterdam (2010) Bachelor of Arts in Philosophy, Smith College (2003) Research spans data justice, automated welfare systems, cultural mapping, and activist data practices. Their work examines how data-centric policies affect democratic participation and public accountability, particularly in urban governance contexts. Recent publications analyze algorithmic welfare governance (2024), AI literacy through art (2023), and administrative data burdens (2024). Current projects include EU Horizon-funded cultural industries policy development and Scottish Government data sharing studies. Best Paper Award - 2020 CHI Conference ESRC New Investigator Grant (2021-2023) EU Horizon Grant (2024) Teaching includes courses on technologies of civic participation, datafication & democracy, internet society, and AI ethics. They previously worked at Stanford's Digital Civil Society Lab and contributed to digital archive preservation efforts during the Trump administration.
Katya Drozdova is a Professor at Seattle Pacific University’s School of Business, Government, and Economics , with a joint appointment in Business, Information Systems, and Political Science. She holds a PhD and MPhil in Information Systems from NYU Stern School of Business and MA/BA in International Relations from Stanford University. Expertise in cyberpower, geopolitical strategy, counterterrorism, and asymmetric threat analysis Principal Investigator for the Mining Afghan Lessons from Soviet Era (MALSE) program funded by the U.S. Department of Defense Visiting Fellow at Stanford’s Hoover Institution and affiliate with the Empirical Studies of Conflict Project (ESOC) Her research combines information theory with security studies , focusing on: Strategic decision-making under uncertainty Human and technological network optimization in hostile environments U.S.-Russia relations and their geopolitical implications Early-warning systems for terrorist network detection Cybersecurity policy balancing civil liberties Recent publications analyze cyberpower (SAGE, 2017), asymmetric warfare (Journal of Cold War Studies, 2019), and geo-religious literacy in Russia (Routledge Handbook, 2022). Her work has been cited in Computational and Mathematical Organization Theory and Hoover Digest . Key affiliations include: NYU’s Alexander Hamilton Center for Political Economy Stanford’s Center for International Security and Cooperation (CISAC) Consortium for Research on Information Security and Policy (CRISP) funded by NSA Community engagements: Hosted Qatar’s Prime Minister Sheikh Abdullah Al-Thani (2016) Public dialogue with General Keith Alexander (2015) Interview with Secretary Madeleine Albright (2014)
Gerald C. Kane is a Professor and the C. Herman and Mary Virginia Terry Distinguished Chair in Business Administration at the Terry College of Business, University of Georgia. He is a leading scholar in digital transformation, artificial intelligence ethics, and social media for knowledge management, with over 100 publications in top-tier journals including MIS Quarterly and Management Science. His educational background includes: PhD in Information Systems, Emory University, Goizueta Business School (2006) MBA in Computer Information Systems, Georgia State University, Robinson College of Business (2002) M. Div. in Theology, Emory University (1998) BA in Humanities, Furman University (1994) Professor Kane's research focuses on the social and ethical implications of artificial intelligence and machine learning, the success factors in digital transformation of legacy companies, and how organizations use digital tools to innovate through disruption (e.g., during the COVID-19 pandemic). He also explores social media for knowledge management across organizational boundaries and information systems in healthcare. His work provides critical insights for businesses navigating the digital era. His recent publications (2020-2025) demonstrate intense focus on AI ethics—particularly fairness and bias in machine learning algorithms—and the transformative impact of digital tools on organizational strategy and workplace design. Kane's research addresses digital strategy formulation challenges and post-pandemic workplace reinvention, reflecting his commitment to solving real-world organizational problems through technology-driven solutions. Professor Kane's contributions have been recognized with numerous prestigious awards: Davis-Dixon Impact Award, MIS Quarterly (2024) Axiom Business Book Awards Gold Medal (2021) Carroll School Coughlin Distinguished Teaching Award (2018) National Science Foundation CAREER Award ($500,000) (2009-2016) McKiernan Distinguished Fellow ($30,000), Boston College (2014-2016) Runner-up, Best Published Paper, Academy of Management (2015) U.S. Department of Defense Small Business Technology Transfer Award ($100,000) (2012) Professor Kane has secured significant research funding including a National Science Foundation CAREER Award and U.S. Department of Defense grant supporting his work on social media and knowledge management. His influential books 'The Technology Fallacy' and 'The Transformation Myth' have been translated into multiple languages and provide practical frameworks for digital transformation. While specific advisees are not documented, his role as former Senior Editor at MIS Quarterly and extensive publication record highlight his leadership in shaping information systems research.
Fiona Bell, a literary translator and scholar from St. Petersburg, Florida, specializes in 19th-century Russian literature and gender studies. With formal education from Princeton, Oxford, and Middlebury, she integrates physical theater practices into her scholarship and teaching. Her work explores intersections of translation theory, cultural criticism, and creative reinterpretation. Education: M.A. in Russian, Middlebury Language Schools (2022) MSt in Modern Languages, Oxford University (2019) B.A. in Slavic Languages and Literatures, Princeton University (2018) Her research interests span Russian imperial histories of racialization, gender dynamics in literary translation, and physical theater pedagogy. Articles demonstrate her focus on radical translation practices, gendered narratives in Russian texts, and cross-cultural reinterpretations of canonical works. Her translations of Nataliya Meshchaninova and Avdotya Panaeva have garnered significant recognition. Scientific Awards: North American Dostoevsky Society Graduate Essay Competition Winner (2022) ASEEES Internship Program Grant (2022) PEN/Heim Translation Fund Grant (2020) English Teaching Assistantship Award, Russian Federation (2019-20) ALTA Emerging Translator Mentorship (2018-2019) As a reviews editor at Full Stop , she contributes to literary discourse through critical analysis of grief literature, postcolonial narratives, and contemporary translations. Her creative work merges Russian literary themes with humor, including satirical pieces on skincare and gendered absurdities in The Belladonna Comedy .
Susan Murray , ScD, is a Professor in the Department of Biostatistics at the University of Michigan School of Public Health. She has made significant contributions to survival analysis methodology, particularly in lung allocation systems and quality-of-life-adjusted survival models. Education: ScD in Biostatistics (Harvard, 1994), MS in Biostatistics (Harvard, 1992), BA in Statistics and English (Rice, 1990) Roles: Biostatistical Editor for American Journal of Respiratory and Critical Care Medicine , member of Cystic Fibrosis Foundation's Data and Safety Monitoring Board Her research focuses on nonparametric survival analysis with informative censoring, group sequential methods for censored data, and quality-of-life-adjusted survival models. She pioneered Lung Allocation Score development and dependent censoring methodology. Recent collaborative work with pulmonary researchers has advanced CT parametric response mapping for COPD progression, machine learning applications in proteomics, and spatially localized lung disease analysis. Her publications show strong emphasis on survival modeling , censored data handling, and transplantation outcomes . Scientific Awards: University of Michigan School of Public Health Excellence in Teaching Award (2003) On Job/On Campus Master's Program Teacher of the Year (2001) Professor Murray maintains active collaborations with University of Michigan Medical School pulmonary researchers and national institutions. She has served on editorial boards for Biometrics and Lifetime Data Analysis , and currently contributes to the American Journal of Respiratory and Critical Care Medicine as Biostatistical Editor.
Dr. Sonja Isabel Veith is a Scientific Staff member at the Institute for Special Education, Faculty of Philosophy, Leibniz University Hannover. Her work focuses on research and teaching in the fields of scientific and technical education, with a strong emphasis on phenomenography and inclusive didactics. Phenomenographic Research Science Education Physics & Computer Science Teaching Biomedical Optics Artificial Intelligence Applications Educational Background: M.Sc. in Physics (minor: Meteorology), Leibniz University Hannover B.Sc. in Physics (minor: Computer Science), Leibniz University Hannover Fellow of the International Max Planck Research School on Gravitational Wave Astronomy Dr. Veith's research explores children's perceptions of physics concepts like sound, interdisciplinary science education, and racism-critical teaching methods. She has developed innovative didactic approaches for visualizing sound and integrating computational thinking in elementary education. Her publications show a consistent focus on: Phenomenographic analysis of science concepts Physics education in elementary schools Interdisciplinary teaching methods AI applications in sensor data analysis Historical and societal contexts in science Inclusive didactic frameworks Scientific Honors: Fellow of the International Max Planck Research School on Gravitational Wave Astronomy Dr. Veith has collaborated extensively across disciplines, working with institutions such as the Albert Einstein Institute and Laser Zentrum Hannover. Her career spans multiple domains including physics, computer science, biomedical optics, and educational theory.
Thilo Stadelmann is the Founding Director of the Centre for Artificial Intelligence at the Zurich University of Applied Sciences (ZHAW) . A computer scientist by training, he earned his Doctor of Science degree from Marburg University, Germany, and has held engineering and leadership roles in the automotive industry before transitioning to academia. His research interests lie at the intersection of representation learning and the societal implications of artificial intelligence . He is particularly focused on understanding how AI systems can be designed to enhance human capabilities while addressing ethical concerns and societal challenges. Stadelmann is a prolific speaker and educator, delivering TEDx talks and lectures on topics such as "How Not to Fear AI" , "AI vs Human: Understanding the Fundamental Differences" , and "Decoding AI Fear: The Philosophy Behind It" . His work emphasizes the importance of demystifying AI and fostering a balanced perspective on its potential and limitations. His recent publications span a wide range of AI applications, from safety-critical network infrastructures and medical imaging to industrial process control and AI governance . Notable works include studies on AI risk assessment for public policy, document recognition, and the societal impact of AI technologies. Beyond his academic role, Stadelmann is actively involved in the digital ecosystem as a (co-)founder and senior leader in several organizations, bridging the gap between research and practical implementation in the AI space.
Dr. Tanushree Roy serves as an Assistant Professor in the Department of Mechanical Engineering at Texas Tech University's Whitacre College of Engineering and is an Affiliate Faculty member at the National Wind Institute. Her research pioneers resilient human-centric smart city infrastructures through the integration of control theory, mathematical modeling, and machine learning to address critical challenges in safety, security, and resource optimization for urban systems. Her academic foundation includes: Ph.D. in Mechanical Engineering from The Pennsylvania State University (2022) M.S. in Mathematics from University of Central Florida (2015) M.E. in Electrical Engineering from Indian Institutes of Engineering Science and Technology, India (2011) B.Tech in Applied Electronics and Instrumentation from Maulana Abul Kalam Azad University of Technology, India (2009) Dr. Roy's research centers on cybersecurity , fault diagnostics , and socio-technical systems with specialized applications in smart transportation networks and battery energy storage systems. She develops innovative frameworks that merge human-centric sensing with technical measurements to combat cyberattacks and physical faults in cyber-physical-social systems, emphasizing safety-critical resilience for urban citizens. Her methodology uniquely combines model-based control with data-driven machine learning to address challenges like social data integrity, human behavior modeling, and multi-scale anomaly characterization. Analysis of her 15 most recent publications (2021-2025) reveals dominant trends in cyberattack detection for connected vehicles, thermal fault tolerance in battery systems, and socio-technical traffic modeling. Key technical approaches include Koopman operator theory for secure estimation, control barrier functions for safety certification, and redundancy-based data fusion techniques. These works consistently bridge theoretical control systems with practical smart city implementation, demonstrating strong interdisciplinary connections between transportation engineering, energy systems, and cybersecurity. No scientific awards are documented in the provided information. Dr. Roy actively mentors three PhD students—Sanchita Ghosh (since 2022), Faysal Ahamed, and Soumyoraj Mallick (both since 2024)—alongside undergraduate researcher Mercedes Hernandez. Her research is executed through the Smart Human-centric Automation Resilience (SHARE) Lab, which has secured projects including the secure autonomous mobility testbed and participates in workforce development via Texas Tech's Engineering Research Internship Experience (ERIE) program for high school students. The SHARE Lab operates at the intersection of transportation and energy systems, maintaining two primary research thrusts: resilient human-centric transportation networks and safeguarding battery energy storage infrastructure. Current projects include SUMO-based cyberattack validation for connected vehicle platoons, self-learning voltage estimation under sensor attacks, and thermal fault-tolerant battery management. The lab maintains active collaborations with national conferences (ACC, CCTA) and industry partners to advance real-world implementation of resilient smart city technologies.
Denny Yu is an Associate Professor at the Edwardson School of Industrial Engineering, Purdue University. His work bridges human factors, neuroergonomics, and healthcare safety through advanced sensor systems and AI. Primary Affiliation : Edwardson School of Industrial Engineering, Purdue University Research Themes : Surgical ergonomics, autonomous vehicle human factors, cognitive workload assessment, multimodal physiological sensing Dr. Yu's research focuses on neuroergonomics and human-robot interaction , particularly in surgical and transportation contexts. His team develops sensor-based systems for workload monitoring, including: EEG-eye tracking fusion for situation awareness Wearable exoskeletons for surgical posture support Computer vision tools for lifting task risk analysis Smart infusion pump usability frameworks AI-driven surgical coaching systems Recent publications emphasize deep learning applications in soft tissue deformation estimation and real-time adaptive systems for robotic surgery augmentation. His work spans both occupational health (veterinary surgeons, airport workers) and medical device innovation domains.
Bettina Kubicek is Professor of Work and Organizational Psychology at the University of Graz, Faculty of Natural Sciences, where she leads research in the Smart Regulation profile area and contributes to the Human Factor in Digital Transformation and Brain and Behavior research networks. Her work bridges psychological theory with practical organizational challenges in contemporary workplaces. Her research spans work psychology, organizational psychology, and economic psychology with emphases on flexible work arrangements, work intensification, and human-robot collaboration. She investigates cognitive demands of flexible work, work-home interface dynamics, and digital transformation impacts through diary studies and experimental designs. Recent work explores telework challenges, AI in HR, and trust mechanisms in human-robot teams during disaster response. Analysis of her recent publications reveals growing focus on human-robot interaction in Industry 4.0, cognitive aspects of telework, and cross-cultural validation of work addiction scales. Her methodology combines intensive longitudinal designs with physiological measures, increasingly incorporating VR interfaces and AI-driven personnel selection experiments. Scientific awards include: Wirtschaftskammerpreis for project 'Flexible Arbeitsbedingungen und die Vereinbarkeit von Beruf und Familie' (2015) Innovationspreis der Universität Wien (2012) Multiple research stipends for University of Wisconsin-Madison stays (2005-2008) She has secured significant competitive grants including FWF-funded 'Cognitive demands of flexible work: Risks and challenges' (2017-2022) and FFG-supported 'Enabling and Assessing Trust when Cooperating with Robots in Disaster Response' (2021-2023), examining trust calibration and cognitive load in human-robot teams. Current projects address evidence-based guidelines for ICT use in work-life boundaries. As core member of the Human Factor in Digital Transformation network, she collaborates with engineers, computer scientists, and healthcare professionals to develop human-centered technological solutions, particularly in healthcare robotics and disaster response systems.
Daniele Fusi is a Lecturer at the Department of Humanities, Ca' Foscari University of Venice, with a focus on Digital Humanities and Computational Philology. He teaches courses on XML databases and digital/public humanities, bridging classical studies with modern technology. University: Ca' Foscari University of Venice Department: Department of Humanities His research spans digital edition frameworks, metrical analysis, and XML markup for classical texts. Recent works explore AI applications in textual dynamics and forensic linguistic tools for legal corpora, demonstrating interdisciplinary approaches between humanities and computer science. Notable projects include: EpiSearch for ancient inscriptions Chiron framework for metrical analysis AttiChiari digital corpus He actively publishes in journals like Journal of Data Mining and Digital Humanities and Rivista di Cultura Classica e Medioevale , with over 20 years of contributions to digital philology, epigraphic databases, and computational linguistics.
Simone Browne is Associate Professor in the Department of African and African Diaspora Studies at the University of Texas at Austin and Research Director of Critical Surveillance Inquiry (CSI) with Good Systems, a research collaborative examining the social and ethical implications of surveillance technologies. She holds a Ph.D. in Sociology and Equity Studies in Education from the University of Toronto. Her research focuses on surveillance studies through the lens of Black studies, examining how contemporary surveillance technologies are informed by the historical practices of racial formation and policing of Black life. Browne's work spans historical analysis of slavery-era surveillance practices to contemporary algorithmic bias and AI ethics, with a particular emphasis on how Black communities experience and resist surveillance. Browne's publications reveal a consistent focus on the intersection of race, technology, and power. Her work traces historical continuities between practices like slave branding and modern biometric identification systems, while also examining contemporary manifestations in airport security, facial recognition technology, and algorithmic decision-making. Her research demonstrates how surveillance has long been racialized, with Black bodies serving as sites for the development and testing of surveillance technologies. 2016 Lora Romero First Book Publication Prize by the American Studies Association 2016 Surveillance Studies Book Prize by the Surveillance Studies Network 2015 Donald McGannon Award for Social and Ethical Relevance in Communications Technology Research 2021 Matakyev Research Fellow at the Center for Imagination in the Borderlands Gerald LeBoff Visiting Scholar at New York University Browne actively engages with multiple research communities, serving on the Academic Council of AI NOW Institute, Executive Board of HASTAC, Board Member of The Dark Laboratory, and Community Advisory Board of the US Covid Atlas Project. Her teaching includes courses on Race/Gender/Surveillance and Surveillance: An Introduction, reflecting her interdisciplinary approach that bridges African diaspora studies, sociology, and technology studies. As Research Director of Critical Surveillance Inquiry, Browne leads collaborative efforts with scholars, organizations, and communities to develop frameworks for understanding and addressing algorithmic harm. She is currently working on her second book manuscript, which examines artistic interventions in the surveillance of Black life across multiple domains including policing, privacy, smart dust, COINTELPRO, encryption, electronic waste, and artificial intelligence.
Barry Rowlingson is a Research Fellow at Lancaster University Medical School , affiliated with the Chicas Research Group and DSI-Health . He specializes in spatial statistics applied to disease epidemiology and geospatial software development . Teaches Geospatial Data module for MRes in Global Health Developed online course on Spatial Statistics in R with DataCamp Focuses on open-source geospatial tools for public health Research Interests: His work bridges spatial statistical methodology and infectious disease modeling , with applications in antimicrobial resistance mapping , wastewater-based pandemic surveillance , and health inequality analysis . Recent projects include modeling ESBL-producing bacteria in Malawi and developing spatio-temporal frameworks for COVID-19 wastewater monitoring . Scientific Contributions: Over 15 years, he has developed critical R packages like stpp for spatio-temporal analysis and rgdal for geospatial data abstraction. His 2023 publications address health workforce disparities and disease transmission dynamics using advanced statistical methods. Collaborations: Works with multidisciplinary teams across Lancaster Medical School , DataCamp , and SAVSNet Agile research projects. Supervises PhD student Charlotte Appleton in biostatistics.
Rob Comber is an Associate Professor at KTH Royal Institute of Technology's School of Electrical Engineering and Computer Science , affiliated with the Media Technology and Interaction Design (MID) department. His research spans Human-Computer Interaction (HCI) , focusing on social and environmental sustainability , social justice , and feminist design . He explores technology's role in civic society , food systems , and social media through equity-driven design and qualitative social science methods. Research interests include: Democratic technology and equity in access Environmental stewardship via digital systems Feminist and decolonial approaches to HCI Community-driven design practices Smart city sustainability His recent publications highlight sustainable design , colonial archive transformations , and AI labor mapping , emphasizing constraint-based innovation and visceral technology ethics . No scientific awards are listed, and no formal advisees are mentioned. He teaches courses including Digitalization and Sustainable Social Transformation and Human-Computer Interaction .
