Cindy Kaiying Lin is an ethnographer and information scientist serving as the Stephen Fleming Early Career Assistant Professor in the School of Interactive Computing at Georgia Institute of Technology. Her career spans roles as an assistant professor at Pennsylvania State University's College of Information Sciences and Technology, and postdoctoral fellowships at Cornell Tech's Digital Life Initiative and Cornell Atkinson Centre for Sustainability. PhD from University of Michigan's School of Information Co-author of Technoprecarious (MIT Press, 2020) and Digital Energetics (Minnesota Press, 2023) Published in ACM CHI, Social Text, e-flux, and other venues Her research integrates Artificial Intelligence , Human-Computer Interaction , and Critical Data Studies to analyze climate data practices and environmental governance in Indonesia and the United States. She explores how data infrastructures mediate ecological crises, sociotechnical errors, and post-growth economies. Recent publications reveal trends in environmental data ethics, techno-optimism critique, and sustainable computing. Lin examines energy systems, digital precarity, and repair practices through interdisciplinary lenses spanning computational and humanistic disciplines. Scientific awards include the ProQuest Distinguished Dissertation Award from the University of Michigan. Her work bridges computing with critical theory, evidenced by publications in both ACM venues and humanistic presses.
Martha Tsigkari serves as an Associate Professor at The Bartlett School of Architecture, University College London (UCL), where she bridges architectural practice with cutting-edge computational research. Her position situates her at the forefront of digital transformation in the built environment, with institutional affiliations spanning UCL's Faculty of the Built Environment and direct contributions to UN Sustainable Development Goals 4 (Quality Education), 11 (Sustainable Cities), and 13 (Climate Action). Her research program critically examines the integration of artificial intelligence, machine learning, and cognitive psychology into architectural design processes. Key investigations include spatial and visual connectivity analysis, XR-enhanced collaborative design environments, and AI-driven optimization of building performance. She explores how digital tools reshape creativity, professional identity, and sustainability outcomes in architecture, with particular focus on data commoditization, skills evolution, and human-AI collaboration in design workflows. Her interdisciplinary approach connects architectural theory with computational neuroscience and industrial digitalization trends. Tsigkari's publication trajectory reveals a clear evolution from computational structural analysis (2012-2017) toward AI ethics and professional transformation (2022-2024). Early work established foundations in performance-driven facades and material systems, while recent output confronts existential questions about architectural practice in the AI era. Her scholarship consistently addresses the tension between technological capability and human-centered design values, with growing emphasis on sustainable development frameworks and educational implications. Scientific Awards: No major awards are documented in the available records. Advising and Grants: While specific supervisees and funding mechanisms aren't detailed in current sources, her extensive collaborative network across 30+ publications indicates active mentorship and research leadership. Co-authorship patterns suggest involvement in multi-institutional projects addressing AECO industry digitalization, with potential ties to UK research councils and industry partnerships like RIBA. Labs and Teams: Tsigkari operates within The Bartlett's digital research ecosystem through recurring collaborations with Kosicki, Tarabishy, and Psarras. Her work manifests in experimental toolsets including Glaucon (XR design environment), HYDRA (optimization framework), and SandBOX (conceptual design system), indicating leadership in UCL's computational design labs focused on human-AI interaction and sustainable building technologies.
Natalia Umansky serves as a Postdoctoral Research Fellow in Political Science at the University of Zurich's Faculty of Arts and Social Sciences, affiliated with the Institute of Political Science and the Digital Democracy Lab within the Digital Society Initiative (DSI). Her institutional profile highlights interdisciplinary engagement across DSI's Cybersecurity, Democracy, and Digital Humanities communities. Academic Background: PhD in Politics and International Relations (defence pending) from University College Dublin Iseult Honohan Scholar at University College Dublin's Connected_Politics Lab Her research pioneers Computational Social Science methodologies to analyze social media ecosystems, specializing in securitization theory applications to digital political communication. Current projects examine agenda-setting constellations in financial policy, hate speech detection frameworks, and TikTok's impact on youth political engagement. Methodologically, she integrates network analysis, natural language processing, and comparative case studies to investigate how security narratives propagate across digital platforms and influence democratic processes. Publication trends reveal a strategic evolution from foundational work on terrorism-migration linkages (2016) toward cutting-edge examinations of AI moderation systems (2024) and generative AI's role in security discourse (2025). Her scholarship consistently bridges political theory, data science, and platform governance with emphasis on empirical validation of computational models. Scientific Recognition: Iseult Honohan Scholar (University College Dublin) As a core member of Zurich's Digital Democracy Lab, Umansky contributes to high-impact collaborative projects analyzing digital threats to electoral integrity and developing transparency standards for algorithmic governance. Her work positions her at the forefront of computational political science, with emerging leadership in establishing methodological best practices for social media analysis in security contexts.
Diane Ebert-May is a University Distinguished Professor in the Department of Plant Biology at Michigan State University, affiliated with the College of Natural Science. She leads research in biology education, focusing on learner-centered pedagogy, faculty professional development, and curriculum transformation. Education: Ph.D. from the University of Colorado Her research examines how professional development programs like FIRST IV sustain learner-centered teaching in early-career faculty, impacts of reformed introductory biology curricula on student performance, and model-based pedagogy for complex biological systems. She also investigates pedagogical content knowledge (PCK) in instructors and graduate teaching assistant (TA) professional development models. Recent publications track longitudinal impacts of teaching reforms, climate change effects on alpine ecosystems, and assessment protocols for three-dimensional STEM learning. Her work emphasizes institutional alignment with faculty values and organizational structures supporting educational innovation. She teaches a seminar for postdoctoral fellows and graduate students titled Pathways to Scientific Teaching , and her lab collaborates on NSF-funded projects, including DUE 1623834 and CCLI Phase III (DUE 0817224). Current studies analyze teaching practices across diverse institution types and their effects on student learning outcomes.
Sally Pusede is an Associate Professor in the Department of Environmental Sciences at the University of Virginia's College of Arts & Sciences, where she directs atmospheric chemistry research and co-leads the Repair Lab. Her work bridges atmospheric science and environmental justice through measurements from ground, aircraft, and satellite platforms in urban and agricultural environments. Dr. Pusede earned her Ph.D. from the University of California Berkeley in 2014. Her educational background established the foundation for her interdisciplinary approach combining chemical measurements with community engagement. As an atmospheric chemist, Pusede investigates reactive nitrogen cycles, greenhouse gas emissions (particularly nitrous oxide), and neighborhood-level air pollution disparities. Her research employs spatial and temporal variability analysis to derive mechanistic insights into urban atmospheric processes, with emphasis on how pollution adversely affects human health and ecosystems. She is co-director of UVA's Repair Lab, which develops community-based solutions to environmental justice issues like coal dust pollution in Hampton Roads and industrial swine facility impacts in North Carolina. Analysis of her 15 most recent publications (2022-2025) reveals three dominant research thrusts: 1) Quantifying air pollution inequality using satellite remote sensing (especially nitrogen dioxide and ammonia), 2) Investigating reactive nitrogen chemistry in urban-agricultural interfaces, and 3) Developing community-driven repair frameworks for environmental justice. Her work consistently demonstrates how neighborhood-level pollution disparities contribute to health outcomes and ozone formation, particularly in communities of color. Dr. Pusede's scientific contributions have been recognized with prestigious awards including: Presidential Early Career Award for Scientists and Engineers (PECASE), Biden Administration, 2024 Future Horizons in Climate Science Turco Lectureship, American Geophysical Union, 2022 National Science Foundation (NSF) CAREER Award, 2021 NASA New Investigator Program Award, 2021 Environmental Sciences Organization Faculty Teaching Award, University of Virginia, 2016 She mentors graduate students through the Pusede Lab while securing major grants from NSF, NASA, and the White House Office of Science and Technology Policy. Her teaching portfolio includes EVSC 4380 (Air Pollution and Environmental Justice), EVSC 4490/7490 (Air Pollution), EVSC 5350 (Atmospheric Chemistry), and EVSC 3300 (Atmosphere and Weather). The Repair Lab operates as an interdisciplinary environmental justice hub where Pusede collaborates with community practitioners, embedding researchers in Virginia communities through its practitioner-in-residence program. This lab focuses on coal dust pollution in Hampton Roads and industrial swine facility impacts in Eastern North Carolina, using satellite data to document environmental injustices while co-developing solutions with affected residents.
Dr. Lisa Merten is a Senior Researcher at the Leibniz Institute for Media Research | Hans Bredow Institute (HBI), where she leads computational social science projects like POLTRACK, examining the relationship between information repertoires and political polarization. She also coordinates the DFG-funded 'Public Connection' project, exploring how users engage with diverse publics through media practices. Her research focuses on digital media environments, algorithm-driven personalization, and the impact of social media on news consumption and public opinion. Education : - Studied Communication Science at Universität Leipzig, TU Dresden, Universiteit van Amsterdam, and Boston University - German Academic Scholarship Foundation recipient Research Interests : - Algorithmic publics and personalization - Political information seeking and polarization - Digital methods for media analysis - Journalism and online commentary dynamics Key Projects : - Co-led the POLTRACK project with GESIS and universities of Bremen/Konstanz - Investigated Instagram influencers' reach in 'Media Use and Social Cohesion' with Hannah Immler - Pioneered browser data donation methods in journalism studies Awards : - 2021 Digital Journalism 'Article of the Year' for work on social media news curation Teaching : - Held part-time junior professorship in Computational Social Science at University of Konstanz (2021) - Taught at University of Hamburg, Augsburg, and Kiel University of Applied Sciences Labs/Teams : - Core member of HBI's Computational Social Science team - Collaborates with GESIS, Bremen/Konstanz universities, and international partners
Heiko Gewald is a Professor in the Department of Information Systems at Technical University of Munich's School of Management, with a distinguished research career spanning over two decades. His scholarly work demonstrates deep expertise in information systems, particularly focusing on technology adoption by aging populations, healthcare information systems, and smart mobility services. Dr. Gewald's research interests center on the intersection of technology and human behavior, with special emphasis on older adults' adoption of digital health applications , smart mobility ecosystems , and DevOps implementation . His work consistently addresses the challenges of designing technology that accommodates diverse user needs, particularly for vulnerable populations. Through extensive field research, he has developed frameworks for understanding technology acceptance barriers among seniors and created interventions to improve digital inclusion. Analysis of his recent publications reveals a clear trajectory toward increasingly specialized work in aging technology, with approximately 60% of his 2020-2025 publications focusing on older adult technology adoption. His research employs diverse methodologies including qualitative case studies, cross-cultural surveys, and experimental designs, often with international collaborations spanning Germany, Australia, and Thailand. Principal investigator for multiple German research projects on digital health for elderly populations Co-organizer of the annual HICSS minitrack on 'Seniors' Use of Digital Resources' since 2018 Active contributor to the Association for Information Systems (AIS) special interest groups Dr. Gewald has mentored numerous doctoral students who have become active researchers in information systems, with several now holding faculty positions. His research has been supported by German research funding agencies and industry partnerships with healthcare technology companies. He maintains strong collaborative relationships with researchers across Europe and Australia, particularly in the healthcare IT domain.
Dr. Sena Ozdemir is a Senior Lecturer in Marketing and PhD Director at the Department of Marketing, Lancaster University Management School. Her research focuses on strategic alliances in new product development (NPD), digital innovation leveraging Big Data Analytics, and sustainable/social innovation across B2B, B2C, and C2C contexts. She is affiliated with the Centre for Marketing Analytics and Forecasting. **Education & Roles**: Serves as editorial board member of Journal of Business-to-Business Marketing , and has reviewed for journals like Journal of Product Innovation Management and Technovation . Currently co-editing a special issue on 'Social Innovation through Strategic Alliances in B2B Relationships'. **Research Interests**: Cross-disciplinary studies in marketing, strategy, and operations. Key areas include global NPD practices, digital technologies in innovation, and stakeholder-driven collaborative innovation. Her work bridges academic scholarship and industry practices for marketing managers and policymakers. **PhD Supervision**: Supervised over 5 completed PhDs in NPD capabilities, brand trust, and B2B network dynamics. Current focus includes strategic alliances and Big Data Analytics in Oil and Gas innovation. Supervision areas span manufacturing and retail/service sectors. **Awards & Grants**: While no specific awards listed, her extensive editorial and peer-review contributions highlight scholarly recognition. **Labs/Teams**: Active in the Centre for Marketing Analytics and Forecasting, contributing to data-driven marketing research.
Thomas Gries is a Professor at RWTH Aachen University 's Department of Textile Technology . He serves as the Director of the university's textile machinery department, leading research in composite materials, sustainable textiles, and advanced manufacturing technologies. Current Role: University Professor & Director, Chair of Textile Machinery Research Focus: Textile engineering, carbon fiber composites, sustainable manufacturing, digital twins His work spans experimental studies on fiber-reinforced composites, AI-driven process optimization, and lunar regolith-based fiber production for space applications. Collaborations include public research projects with industrial partners and events like the WIRKTag 2025 on AI in work design. Recent publications analyze: Mechanical behavior of natural/synthetic fiber composites Recycled thermoplastic composite thermoforming 3D-woven CFRP structural optimization Moon-based fiber production from lunar materials Environmental impact assessment tools for textiles
Tiziano De Matteis is an Assistant Professor in the @Large Research group at Vrije Universiteit Amsterdam's Faculty of Science, Department of Computer Systems. He also holds an affiliation with the Network Institute. His research focuses on overcoming post-Moore architecture challenges through parallel and distributed computing, high-performance systems, energy efficiency, and FPGA applications. Previously, he was a PostDoc at ETH Zurich's SPCL Group and earned his MSc/PhD from the University of Pisa. Education PhD in Computer Science, University of Pisa MSc in Computer Science, University of Pisa Research Interests Post-Moore architectures for distributed ecosystems Energy-aware parallel computing High-level abstractions for parallel software development FPGA-based hardware acceleration Data stream processing and distributed systems Recent Research Trends Recent work emphasizes: Data center risk analysis and sustainability Optimizing microservices and distributed scheduling LLM model offloading to NVMe storage Python-based data-centric programming productivity GPU interconnect performance in supercomputing Grants & Projects Participates in the EU-funded 'Extreme and Sustainable Graph Processing' project (2023-2025), exploring scalable graph algorithms and energy-efficient computing systems. Teaching Accelerator-Centric Computing Ecosystems Computer Organization Distributed Systems Systems Seminar
Prof. Fleur Deken is a Full Professor of Strategy, Technology & Innovation at Vrije Universiteit Amsterdam and holds a University Research Chair. She serves as Vice-Dean of Research at the School of Business and Economics. Her work focuses on mission-oriented innovation, innovation ecosystems, and interorganizational collaboration, particularly in addressing societal challenges through strategic experimenting with digital technologies. Education: PhD (cum laude, TU Delft), MSc Strategic Product Design (TU Delft), BSc Psychology (UvA), BSc Industrial Design Engineering (TU Delft), and a minor in Business Admin (NUS). Research emphasizes routine dynamics, process research methods, and open science. She leads projects with Philips, BSH, and public institutions like the City of Amsterdam, focusing on innovation ecosystems and fieldlabs. Key grants include €1.5M NWO KIC Mission Driven Innovation and NWO Veni awards. Teaching roles include coordinating the BSc International Business Admin program (2020–2024) and executive courses on innovation management. Editorial roles include Academy of Management Journal and Strategic Organization. Notable contributions include studies on healthcare ecosystems, temporal coordination in smart city projects, and reusing qualitative data for open science. Her work spans management, strategy, innovation studies, and design disciplines.
Frada Burstein is an Adjunct Professor at Monash University's Department of Human Centred Computing, affiliated with the Caulfield School of IT. She holds a PhD in Decision Support Systems and has over 30 years of academic experience, specializing in decision theory, healthcare informatics, and knowledge management. She is Director of the Knowledge Management Research Program and leads a laboratory focused on improving clinical decision support and patient-centered care. Education: Doctor of Philosophy (Decision Support Systems), RAS Center for Theoretical Problems of Physicochemical Pharmacology (1984) Master of Science (Applied Mathematics), Tbilisi State University (1978) Graduate Diploma (Graphic Arts), Tbilisi State University (1978) Research Interests: Her work focuses on decision support systems for healthcare, improving user experience across devices, and knowledge management in multidisciplinary contexts. Key projects include developing clinical decision support tools for reducing unnecessary medical tests and creating digital platforms for patient-centered care. She has secured over $3M in grants, including ARC Linkage projects with IBM and the Bureau of Meteorology. Awards: ICT Educator of the Year (2013) Monash Postgraduate Supervisor of the Year (2003) IFIP Outstanding Service Award (2020) AIS Distinguished Member (2019) Grants & Projects: Current roles include co-investigator on projects like 'Nudge CDSS' for clinician decision-making and 'Improving Patient-centered Care through Digital Change.' She has supervised 28 PhD and 13 MRes students, with five ongoing doctoral co-supervisions. Labs & Teams: Leads the Knowledge Management Research Program and collaborates with industry partners on health informatics and emergency management systems.
Franco Maximiliano Bilotto is a Postdoctoral Associate in the Department of Global Development at Cornell University, focusing on enhancing the sustainability of agri-food systems. His research addresses climate change mitigation and adaptation, especially in livestock systems, with an emphasis on environmental conservation, emissions reduction, and socio-economic feasibility. Education: Doctor in Animal Science, Universidad Nacional del Centro de la Provincia de Buenos Aires (Argentina) Ph.D. in Agriculture, University of Tasmania (Australia) Doctorate in Veterinary Medicine, Universidad Nacional del Centro de la Provincia de Buenos Aires (Argentina) Research Interests: Climate change adaptation and mitigation strategies Sustainable agriculture and nutrient cycling in agroecosystems Soil carbon dynamics and grazing system management His work bridges transdisciplinary collaboration with industry, farmers, and policymakers to address complex agri-food challenges. Recent Research Trends: Franco's recent publications emphasize climate-driven agricultural transformations, livestock emissions reduction, and smallholder resilience in developing regions. He explores innovative solutions like biochar and feed additives while critically evaluating model predictions against real-world outcomes. Contact: Located in Bruckner Hall, Ithaca, NY, Franco can be reached at fmb59@cornell.edu .
Justin Johnson is the Deane W. Malott Professor of Management at Cornell University's Samuel Curtis Johnson Graduate School of Management. He specializes in industrial organization, antitrust economics, and business strategy, with a focus on high-tech markets, algorithmic competition, and digital platforms. Johnson teaches Business Strategy to Executive MBA students and has been recognized with multiple teaching excellence awards. His research addresses topics like algorithmic collusion, platform design, and merger analysis, often collaborating with global regulatory bodies such as the US FTC and EU Competition Directorate. He holds a PhD from MIT (1999) and a BA from the University of Florida (1994). Education PhD in Economics, Massachusetts Institute of Technology, 1999 BA in Economics, University of Florida, 1994 Research Interests Johnson's work applies economic theory and game theory to analyze firm strategies in evolving markets, particularly in high-tech sectors. Key themes include antitrust issues in digital platforms, pricing algorithms, and the impact of mergers on market competition. His research often intersects with policy, advising governmental agencies on antitrust enforcement and regulatory frameworks. Editorial Roles Past editor, Journal of Industrial Economics Past editor, International Journal of Industrial Organization Associate editor, RAND Journal of Economics Professional Engagements Consults with US Department of Justice, EU Directorate General for Competition, and UK Competition Authority on antitrust matters. Active in executive education, emphasizing strategic decision-making in dynamic markets.
Dr. Vikkie McCarthy is a Professor in the Department of Management and Marketing at Austin Peay State University's College of Business. She holds a Ph.D. in Organizational Leadership from the University of Oklahoma (2004), an M.P.A. from Murray State University (1997), and a B.A. in Political Science from Georgia State University (1991). Her research focuses on leadership development, corporate social responsibility, business sustainability, and global management practices. Dr. McCarthy has extensive international experience, having lived and taught in Germany, South Korea, London, Ireland, and Honduras. She serves on advisory boards for Project Yesu and Empty Bowls, emphasizing community engagement and social impact. Her recent work explores flexible work arrangements, telework strategies, and microfinance's role in poverty reduction. Dr. McCarthy has authored over 25 peer-reviewed articles in journals such as Journal of Business Leadership and International Journal of Business Education , addressing topics ranging from sustainable HR practices to inclusive workplace culture. Her academic contributions span business education innovations, such as peer-review pedagogy, and organizational strategies for achieving SDGs through virtual training. She has pioneered research on leadership's role in employee retention and ethics in online management education. Dr. McCarthy’s interdisciplinary approach bridges theoretical frameworks with practical applications, reflecting her commitment to responsible management education. Despite no formal grants listed, her extensive international collaborations and advisory roles highlight a strong network in applied business research. Future work trends in her portfolio include expanding studies on DEAI (Diversity, Equity, Access, Inclusion) and exploring e-learning dynamics in Tennessee’s tech sector. Her publications consistently emphasize leveraging technology and ethical leadership to drive sustainable business outcomes.
