Anders Parment is a Lecturer in Business Administration at Stockholm University , affiliated with the Stockholm Business School and its Department of Business Administration . With a focus on Marketing , he contributes to research on sustainability, generational differences, and urban-rural market dynamics. PhD in Economics from Linköping University (2005) MSc in Economics from Linköping University and Lund University Degree in Competition Law from Örebro University His research bridges Marketing , Sustainability , and Generational Behavior , examining how urbanization, digitalization, and societal polarization influence consumption and labor markets. Current projects explore urbanization effects and marketization in the Swedish school system . Publications highlight trends in Generational Marketing , Sustainable Practices , and Consumer Behavior across diverse contexts like automotive branding, retail evolution, and public administration. Swedish Marketing Association's Marketing Book of the Year (2019, 2016, 2014, 2013) Educational awards for teaching excellence He teaches basic and advanced marketing courses, including eMBA and leadership programs, emphasizing critical perspectives on corporate sustainability and consumer empowerment.
Professor Marie Griffiths is a distinguished academic and expert in digital transformation at Salford Business School, University of Salford. She holds the position of Professor of Digital Technologies in Organizations and serves as EDI Lead for Research (2023–present). Her academic career includes significant leadership roles such as PGR Director at Salford Business School (2019–2023) and Head of the Digital Business Research Centre. She previously served as President of the UK Academy for Information Systems (UKAIS) after her tenure as Vice President. Dr. Griffiths earned her PhD in Business Information Systems, establishing the foundation for her expertise in digital transformation. Her research spans multiple critical areas including digital transformation, information systems, gender and IT, AI and disruptive technologies, digital society, privacy and surveillance studies, family surveillance, productivity technologies, and digital education. Her work consistently bridges academic theory with practical business applications, focusing on how organizations respond to digital disruptions and how workforces adapt to emerging technologies. Her recent publications reveal a strong focus on strategic digital transformation, digital maturity assessment, and the intersection of technology with social impact. The 2025 second edition of her book 'Strategic Digital Transformation – A Results-Driven Approach' represents a significant contribution to the field. Her research increasingly addresses the gender dimensions of digital transformation, as evidenced by her 2024 work on closing the REF Gender Inequality Gap. She also explores the practical applications of digital technologies in specific sectors including government organizations, healthcare (particularly nursing), and financial technology. Vice-Chancellor's Distinguished Teacher Awards (multiple) Professor Griffiths has supervised 14 PhD completions and currently oversees doctoral candidates researching fintech, digital transformation, and sustainability. She established the PGR International Women's Network to support female researchers. Her grant leadership includes 11 Knowledge Transfer Partnerships (KTPs) with organizations like Manchester Chamber of Commerce, OPAL, and Hydro-X, securing significant funding from Innovate UK. She has also contributed to policy development through work with the British Standards Institute Steering Group for Digital Maturity. As Head of the Digital Business Research Centre, Professor Griffiths leads a team focused on practical digital transformation research with strong industry connections. Her approach emphasizes people-centric transformation, ensuring that people remain at the heart of any change. The centre's work spans multiple sectors including government, healthcare, finance, and small and medium enterprises, with a particular focus on developing practical tools like digital transformation canvases for different organizational contexts.
Melissa Roderick is the Herman Dunlap Smith Professor at the Crown Family School of Social Work, Policy, and Practice. She co-directs the Chicago Consortium on School Research and specializes in the critical transitions from high school to college and urban education reform. Her work combines qualitative and quantitative methods to address dropout prevention, grade retention, and summer program efficacy. Focus on student transitions Co-director, Chicago Consortium on School Research Expert in mixed-methods research Grants from J. P. Morgan Chase, Spencer, and Wallace Foundations Roderick's research explores college readiness , noncognitive factors , and urban school reform . Her work emphasizes data-driven interventions and policy analysis, particularly in Chicago Public Schools. Recent publications highlight college match indicators , academic momentum , and systemic barriers in college access. Her scholarly contributions include analyses of: Advanced Placement program efficacy Noncognitive skill development Postsecondary outcomes for IB students Long-term impacts of ninth-grade interventions Scientific recognition includes: Crown Family School teaching excellence award Chicago Sun-Times '100 Most Powerful Women' (2004) Roderick has received funding from multiple foundations, including the J. P. Morgan Chase Foundation, Spencer Foundation, and Wallace Foundation. She currently chairs the board of North Lawndale College Preparatory Charter High School and has led initiatives to restructure urban school systems through longitudinal data analysis and curriculum reform.
Alexander Westkamp is a Professor in Economics at the University of Cologne since 2018. His research focuses on matching markets , mechanism design , and behavioral economics , with significant contributions to understanding stability, strategy-proofness, and exchange mechanisms in complex market structures. Current position: Associate Professor (W2) with tenure , University of Cologne Prior roles: Assistant Professor , Maastricht University (2013–2015); Visiting Scholar , Stanford University (2012–2013) Affiliated with interdisciplinary research clusters like ECONtribute: Markets & Public Policy , Germany’s first Cluster of Excellence in economics. His work has been published in top journals including the Journal of Political Economy , Games and Economic Behavior , and Theoretical Economics . Recent articles explore topics such as: Generalized matching with contracts and networks Stability and strategy-proofness in trading networks Tie-breaking mechanisms in priority-based matching systems Westkamp’s research often intersects with quantum computing and social behavior through collaborations at the University of Cologne’s Key Profile Area: Social and Economic Behaviour .
Daniel Schnurr holds the Chair of Machine Learning, especially Uncertainty Quantification at the University of Regensburg since August 2022, where he conducts research at the intersection of artificial intelligence, data economics, and digital market regulation. Previously, he headed the Data Policies research group at the University of Passau, building his expertise in the economic and regulatory aspects of digital markets. His educational background includes a doctorate in business informatics from the Karlsruhe Institute of Technology (2016), where he also worked for three years as a research associate at the Institute for Information Systems and Marketing. He completed his undergraduate and master's studies in Information Systems at KIT (2007-2013), with international experience at Concordia University in Canada and Singapore Management University. Professor Schnurr's research focuses on the technical, economic, and social implications of new machine learning methods and data as a decisive competitive factor and driver of innovation in digital markets. His work examines how data functions as both an economic asset and regulatory challenge, particularly in contexts of market power, competition policy, and AI governance. He investigates uncertainty quantification in machine learning systems while considering their broader economic and societal impacts. His publication portfolio demonstrates consistent output in top-tier journals including Management Science, Journal of Information Technology, and Journal of Competition Law & Economics, with recent work increasingly focusing on AI regulation, data access remedies, and uncertainty-aware AI systems. The trajectory shows evolution from telecommunications infrastructure research to contemporary digital market and AI regulation issues. As a Research Fellow at the Centre on Regulation in Europe (CERRE) since 2022, he has authored numerous policy reports addressing regulation of cloud computing services, digital platforms, and data economy frameworks. His policy contributions bridge academic research with practical regulatory implementation, particularly regarding the European AI Act and Digital Services Act. His research program involves experimental approaches to understanding data markets, human-AI interaction dynamics, and regulatory effectiveness. Through his work at CERRE and collaborations with international scholars, he contributes to shaping evidence-based digital policy in the European context while maintaining strong connections to academic research communities in information systems and economics.
Mihye Won is an Associate Professor at Monash University’s Faculty of Education, specializing in innovative science education strategies. Her research integrates dialogic teaching, student-generated diagrams, immersive Virtual Reality (VR), and generative AI to enhance scientific understanding and creativity. She has secured Australian Research Council (ARC) funding for projects like Using Immersive Virtual Reality to Enhance Science Visualisation (2019–2025) and Drawing Science Diagrams to Enhance Scientific Creativity (2018–2025). Her work supports students, teachers, and early-career researchers, aligning with the UN Sustainable Development Goal for Education. PhD, University of Illinois at Urbana-Champaign: Inquiry-based science education via Dewey’s theory of inquiry Her research focuses on: Dialogic teaching to foster student reasoning Student-generated diagrams for conceptual understanding VR for visualizing complex science topics Generative AI in science learning Creative and critical thinking in science education Recent articles span VR applications, AI in physics education, collaborative drawing techniques, and curriculum-aligned creative pedagogy. Awards include the Most Valuable Paper Award 2024 for her work on enzyme-substrate interactions in VR. She serves on the advisory board for Chemistry Education Research and Practice and the editorial board of the International Journal of Science Education .
Holger Wittges is the Managing Director of the SAP University Competence Center (UCC) at the Technische Universität München (TUM) . His work focuses on Digital Transformation , Next Generation ERP , and Hybrid Cloud infrastructure. He is affiliated with the KrcmarLab and collaborates with IBM via the OpenPOWER@TUM initiative. Educational Background: 2004: Dr. rer. oec. (Promotion), Universität Hohenheim 1996: Diplom Wirtschaftsinformatiker, Universität Bamberg Research Interests include Digital Transformation, Cloud Computing, Enterprise Resource Planning (ERP), XaaS (Everything as a Service), and Service-Oriented Architecture (SOA). His work bridges academic innovation with industry needs through SAP UCC TUM, which provides 40+ educational service bundles like SAP HANA and S/4HANA for teaching and research. Recent Publications highlight advancements in machine learning for ERP support ticket systems, energy efficiency in SAP S/4HANA, and educational frameworks for cloud-based enterprise software. Articles emphasize collaboration with institutions across Europe and contributions to digital ecosystems like the SAP University Alliances. Key Projects include the OpenPOWER@TUM initiative with IBM, focusing on accessible AI/ML infrastructure for academia, and the SAP UCC TUM, which drives Education as a Service (EaaS) strategies for digital business ecosystems.
Daniel Frischemeier is a Professor of Mathematics Didactics with a focus on Primary Education at the University of Münster's Faculty of Mathematics and Computer Science. He has established himself as a leading researcher in statistics and data science education for primary school students, with extensive contributions to educational methodology and teacher training. University of Münster (2021-present) TU Dortmund (2020-2021) University of Paderborn (2009-2020) Ludwig-Maximilians-Universität München (2017-2018) Dr. Frischemeier completed his doctoral studies at the University of Paderborn with a dissertation on statistical thinking and research using TinkerPlots software. His educational background includes graduate studies in Mathematics and undergraduate studies in Mathematics and Physics for teaching at various school levels. His research focuses on the design and testing of teaching-learning environments for primary mathematics education, particularly in the areas of data analysis, probability, and statistics. He conducts qualitative analysis of learners' cognitive processes related to the guiding principle of 'data and chance' in primary education. His work also includes the design and evaluation of teaching materials in data science and civil statistics, the use of learning videos to promote process-related skills, and the implementation of Fermi tasks and computer science education within primary mathematics lessons. Analysis of Dr. Frischemeier's recent publications reveals a strong emphasis on data literacy development in primary education, with increasing focus on the integration of digital tools and the conceptual understanding of data as models. His work bridges mathematics education with emerging fields of data science, addressing both theoretical frameworks and practical classroom applications. The research demonstrates a progression from basic statistical concepts toward more complex data modeling approaches suitable for young learners. Elected member of the International Statistical Institute (ISI) Chair of the Local Organizing Committees for IASE Satellite 2025 Conference Council-Member of the International Statistical Institute Special Edition Editor of the Statistics Education Research Journal Member of International Program Committees for major statistics education conferences Co-Leader of CERME Thematic Working Group 5 on Probability and Statistics Education Dr. Frischemeier serves in numerous editorial capacities and review roles for prominent journals in mathematics and statistics education. He leads significant research projects including 'Promoting Data Science Education for Teacher Education at the University level (DataSETUP)' and 'Data Science Education in STEAM for Civic Engagement and Social Justice from the Early Years (DataScEd4CiEn)'. His work has substantial impact on teacher education programs and curriculum development in statistics and data science for primary schools. He is actively involved in the development and leadership of the Math Center Münster (MaZ), which promotes mathematical potential for all students. His team includes numerous research assistants and doctoral candidates working on various aspects of mathematics education research, particularly focusing on data literacy and statistical reasoning in primary education contexts.
Dr. Wanju Huang is a Clinical Assistant Professor in the Learning Design and Technology program at Purdue University , where she focuses on enhancing online learning experiences through innovative instructional design and emerging technologies. Prior to joining Purdue in Fall 2016, she served as an instructional design manager at Teaching and Learning Technologies and spent six years as a lecturer and instructional designer at Eastern Kentucky University. Education: Ph.D. in Curriculum & Instruction (Technology concentration) from University of Illinois at Urbana-Champaign Her research interests center on technology-mediated online communities, instructor presence in digital learning, augmented reality applications, and faculty development programs. She has published extensively on these topics, including studies on multimedia interventions for teaching presence, immersive technologies in ESL education, and adaptive cyber training platforms. Dr. Huang's publications reflect a strong focus on EdTech innovation , with trends spanning AI integration in K-12 , model-based systems engineering , and microlearning strategies . Her work bridges theoretical frameworks like social constructivism with practical implementations in professional education. Professional memberships include the American Educational Research Association, Association for Educational Communications and Technology, and Quality Matters. She teaches courses on learning design foundations, e-learning systems, and professional competency demonstrations in LDT.
Farzan Banihashemi serves as a Research Fellow at the Chair of Energy Efficient and Sustainable Design and Building at the Technical University of Munich (TUM), maintaining this affiliation since 2019 while concurrently working as a Data Scientist at Climateflux GmbH since 2023. His work bridges sustainable building design and data science, focusing on computational approaches for urban energy systems. His academic credentials include: Master in Management from TUM School of Management (2019) Master in Energy Efficient and Sustainable Building from TUM (2017) His research centers on data-driven urban building energy modeling (UBEM) , building energy simulation , and machine learning applications for occupant behavior analysis . He develops non-intrusive sensing methodologies to model window operations and occupancy patterns using environmental data streams, with significant contributions to CO2-based occupancy detection systems and predictive modeling for office environments. His work integrates climate change considerations into early-stage building design processes. Analysis of his 2022-2024 publications reveals a concentrated research trajectory applying artificial intelligence to building energy challenges. Over 60% of his recent work addresses occupant behavior modeling—particularly window operations and space occupancy—using explainable AI techniques. His publications also demonstrate growing engagement with urban-scale applications, including urban heat island mitigation and vertical densification strategies, often incorporating life cycle assessment frameworks. No scientific awards were documented in the source materials. While specific advising activities aren't detailed, his collaborative publication pattern (average 4.3 co-authors per paper) indicates active participation in research teams. Grant involvement is implied through project affiliations though specific funding mechanisms aren't specified. He operates within TUM's Chair of Energy Efficient and Sustainable Design and Building, contributing to major initiatives including Building Climate–Municipal (BauKlima-Kommunal), CircularFTmehrRAUM, CircularGreenSimCity, and the NAWAREUM project. These efforts focus on sustainable urban development, climate adaptation strategies, and circular economy implementation in the built environment, particularly examining urban densification under climate change scenarios.
Gül Varol is a permanent researcher at École des Ponts ParisTech's IMAGINE group, an ELLIS Scholar, and Guest Scientist at Max Planck Institute. She holds a PhD from Inria Paris/ENS with awards from ELLIS and AFRIF. Her academic service includes Program Chair at ECCV'24 and Area Chair roles at major conferences. Current affiliations: IMAGINE group (École des Ponts ParisTech), Max Planck Institute Previous roles: Postdoctoral researcher at University of Oxford Her research focuses on vision-language applications, particularly in 3D human motion synthesis, sign language technology, and audio description generation. Key techniques include text-conditioned diffusion models, temporal context modeling, and synthetic data utilization. Scientific contributions recognized through: Google Research Scholar award (2023) ELLIS PhD Award (2020) AFRIF PhD thesis award (2020) Best application paper at ACCV'20 Recent publications demonstrate expertise in: Text-driven 3D motion editing (MotionFix, 2024) Cross-dataset generalization studies (TMR++, 2024) Temporal action composition frameworks (TEACH, 2022) Sign language dense annotation methods (BOBSL, 2022) Zero-shot audio description generation (AutoAD-Zero, 2024) She actively contributes to dataset development including BOBSL (British Sign Language corpus) and SURREACT synthetic action dataset, while pioneering new evaluation metrics for audio description quality and motion retrieval benchmarks.
Boris Jukic is a Professor and Director of Applied Data Science at the Reh School of Business , Clarkson University. With a PhD from the University of Texas at Austin, he teaches courses such as Visual Basic Programming for Business Applications and Development of Business Applications on the Internet. Dr. Jukic's research focuses on: Management and pricing of networks and telecommunication services Application of data management and presentation strategies in e-business and e-commerce IT architecture's impact on organizational success metrics His recent publications highlight trends in data warehousing , IT architecture , and business intelligence . Notable subfields include data modeling , incentive-compatible pricing , and process-data integration . Contact: Email: bjukic@clarkson.edu Phone: 315/268-3884 Office: 227 Bertrand H. Snell Hall, Clarkson University
Ľubica Rumanovská is an Associate Professor and Chief Official at the Institute of European Policies and Public Administration within the Faculty of European Studies and Regional Development at the Slovak University of Agriculture in Nitra. Her research focuses on the intersection of European policy frameworks and Slovak implementation contexts, with particular expertise in: European Union integration processes and educational applications Agricultural policy and Common Agricultural Policy (CAP) mechanisms Land use patterns and sustainable development strategies Public administration reform in Central European contexts Economic impacts of EU funding mechanisms Dr. Rumanovská actively participates in major European research initiatives across multiple funding programs. Her work demonstrates strong connections between theoretical policy frameworks and practical implementation challenges in Slovak agriculture and regional contexts. Notable project leadership includes: Principal investigator for Jean Monnet project on European integration in Slovak schools (2012-2013) Supervisor for research on CAP EU support mechanisms and agricultural land markets (2017-2019) Key researcher in Horizon Europe's EUROPE-LAND project on sustainable land-use strategies (2023-2027) Scientific lead for Slovak Recovery and Resilience Plan projects on land use patterns (2024-2026)
Lorin M. Hitt serves as the Zhang Jindong Professor of Operations, Information and Decisions at the University of Pennsylvania's Wharton School. His distinguished career spans multiple domains at the intersection of information technology, economics, and business strategy. As a leading scholar in IT productivity and innovation, he maintains an active research agenda while teaching undergraduate and graduate courses in information systems and data analysis. Professor Hitt's research interests focus on the relationship between information technology and productivity, with particular emphasis on complementary factors such as organizational design and human capital that affect the value of IT investments. His current work explores the economics of IT labor mobility, enterprise software contracting, recommender systems' influence on consumer behavior, measurement of intangible assets, and pricing information goods. His research increasingly examines IT deployment in healthcare settings and the role of the IT workforce in relation to issues like offshoring and the H1-B visa program. His research publications demonstrate consistent contributions to top-tier journals, with recent work analyzing how data analytics mitigates post-IPO innovation decline, digital capital accumulation in superstar firms, and the relationship between analytics skills and firm productivity. His publication record shows sustained scholarly output across multiple domains of information systems research. Best Paper Runner-up – Management Science, 2014 Best Paper – Information Systems Research, 2013 Multiple Wharton Excellence in Teaching Awards (2003, 2007-2008, 2011) David Hauck Award for Distinguished Teaching, 1999 National Science Foundation Career Grant Recipient, 1998 Lindback Award for Distinguished Teaching, 1998 Professor Hitt teaches multiple courses including OPIM101 (Introduction to OPIM), OPIM105 (Data Analysis in VBA and SQL), OPIM469 (Information Strategy and Economics), and OPIM955 (Doctoral Seminar in IS Economics). His teaching focuses on information systems management, economics, data analysis, and advanced analytical methods. Beyond academia, he consults on IT outsourcing agreements and IT investment evaluation, and occasionally serves as an expert witness in technology-related litigation.
Tiago de Melo Cartaxo is a Senior Lecturer in Environmental Law at the University of Exeter’s College of Humanities and Social Sciences, Cornwall Campus. He founded the Exeter Centre for Environmental Law (ExCEL) and is part of Law and Business Cornwall (LAB/C). Current roles include Associate Director for External Engagement at the Environment and Sustainability Institute (ESI) and former Director of Postgraduate Research for Humanities and Social Sciences. His research focuses on environmental rights, climate resilience justice, circular economy, energy transition, and international environmental law. He holds a European PhD in Law from Universidade Nova de Lisboa, with postdoctoral work at the University of Surrey. Tiago has advised governments and international bodies, including the Portuguese Presidency of the EU Council, and chairs the World Public Sector Integrity Initiative (WPIEI). Education European PhD in Law, Universidade Nova de Lisboa (2015–2020) LLM in Environmental Law and Planning, University of Coimbra (2012–2014) Licenciatura in Law, University of Lisbon (2000–2005) Research Interests He explores legal frameworks supporting sustainability transitions, including governance of single-use plastics, nature markets, and climate adaptation. His work bridges environmental law with social equity, focusing on resilience justice, circular economy policies, and EU environmental law. He emphasizes transdisciplinary approaches to address socio-ecological challenges in urban contexts. Notable Contributions Coordinated ESI-funded projects on regulatory frameworks for nature markets Developed academic partnerships with the Portuguese Environment Agency Chaired WPIEI during Portugal’s EU Presidency Advised on post-2011 Portuguese economic reforms Awards & Affiliations Fulbright Scholarship (USA) FCT Fellowships (Portugal) Senior Fellow of AdvanceHE Member of ILA Committees on Sustainable Development, SDGs, and ICC Environment Commission Advising & Grants Tiago welcomes PhD/Masters supervision in Environmental & Climate Law. His grants include ESI funding and collaborations with international institutions. He leads the NOVA Law Green Lab and has advised Portuguese and EU policymakers on environmental compliance and energy transitions. Labs & Networks Founder of ExCEL and NOVA Law Green Lab; collaborates with Exeter Biodiversity & People Network, Exeter Food Policy, and Environmental Intelligence initiatives.
