James Tilley is a Professor of Politics at the University of Oxford's Department of Politics and International Relations (DPIR) and a Fellow and Tutor in Politics at Jesus College. His research focuses on public opinion, electoral behavior, and political identity, particularly in the context of Britain and the EU. He explores themes like voter responsibility attribution, class voting dynamics, and the emergence of post-Brexit political identities. Tilley has published influential works such as Blaming Europe (2014) and The New Politics of Class (2017), examining issues ranging from working-class political exclusion to the role of social cleavages. His media contributions include BBC Radio 4 documentaries on topics like political polarization and generational political attitudes. Teaching responsibilities include Political Sociology (PPE/HP) and Prelims Politics tutorials. His research spans over three decades, addressing evolving political identities, the impact of echo chambers on polarization, and the intersection of personality traits with political engagement. Tilley collaborates widely, with co-authors such as Sara Hobolt and Geoff Evans, and his work often intersects with contemporary issues like Brexit's societal effects and Northern Irish electoral behavior. Recent publications (2023–2025) analyze regional EU spending impacts, narcissism's role in polarization, and neighborhood effects on political divisions. His work bridges academic rigor with public engagement, contributing to debates on democracy, identity, and governance.
Eli Ben-Michael is an Assistant Professor jointly appointed in the Heinz College of Information Systems and Public Policy and the Department of Statistics & Data Science at Carnegie Mellon University. He is affiliated with the CMU-NIST AI Measurement Science & Engineering Cooperative Research Center (AIMSEC), contributing to cutting-edge research at the intersection of statistics, policy analysis, and artificial intelligence. His educational background includes a PhD in Statistics from U.C. Berkeley and undergraduate studies at Columbia University where he earned a dual degree in Computer Science and Statistics. Prior to his current position, he completed a postdoctoral fellowship at Harvard University's Institute for Quantitative Social Science and Department of Statistics. Ben-Michael's research focuses on developing innovative statistical and computational methods for causal inference and policy evaluation, with particular emphasis on integrating machine learning techniques to address complex problems in public policy and social science. His work bridges theoretical statistics with practical applications in healthcare, criminal justice, education, and social policy. Current research directions include safe policy learning, sensitivity analysis for clustered data, and methodological innovations for the synthetic control method. His publication record shows a strong trajectory in top-tier journals including Journal of the American Statistical Association, Journal of the Royal Statistical Society, and Proceedings of ICML. Recent work demonstrates increasing focus on policy-relevant applications including abortion legislation impacts, pre-trial risk assessment, and healthcare disparities, while maintaining methodological rigor in causal inference frameworks. Ben-Michael has developed open-source software tools including augsynth and multical R packages, which implement his methodological contributions for synthetic controls and multilevel calibration weighting. These packages have been adopted by researchers in multiple disciplines for causal inference applications.
Frede Blaabjerg is a Professor at Aalborg University (AAU Energy) , affiliated with the Faculty of Engineering and Science . Since 1998, he has pioneered power electronics research in applications such as wind turbines , photovoltaic (PV) systems , reliability engineering , and Power-2-X technologies. Education : PhD in Electrical Engineering (1995, Aalborg University) Honorary Degrees : Honoris Causa at University Politehnica Timisoara (2017) and Tallinn Technical University (2018) His research focuses on power electronics control , system optimization , and reliability for renewable energy and electric mobility . Recent work includes grid-forming converters , virtual synchronous generators , and smart EV charging systems. Key publication trends span 15+ years , with over 3,733 peer-reviewed articles and 900+ journal papers in power electronics , renewables , and energy storage . Notable book series: Control of Power Electronic Converters and Systems (4 volumes, Elsevier). Scientific Awards : 46 IEEE Prize Paper Awards 2020 IEEE Edison Medal 2019 Global Energy Prize 2014 IEEE William E. Newell Power Electronics Award Leadership Roles : Editor-in-Chief, IEEE Transactions on Power Electronics (2006–2012) Chairman, Danish Council for Research and Innovation Policy (2020–) President, IEEE Power Electronics Society (2019–2020)
Prof. Hens Runhaar is a Full Professor of Sustainable Food System Governance at Utrecht University's Copernicus Institute of Sustainable Development. His research focuses on reconciling food production with biodiversity recovery, environmental sustainability, and health through innovative governance frameworks. He emphasizes connectivity issues in food systems, such as disconnects between production and environmental conditions, and advocates for transformative practices like agroecology and nature-inclusive agriculture. Key roles include chairing the Board of Examiners for Sustainable Development and membership in Future Food Utrecht. His projects include NWO-funded initiatives like COMBINED (grassland biodiversity) and REWIRE (circular agricultural missions). He actively engages in policy dialogues, such as advising BirdLife Netherlands and contributing to the Dutch Biodiversity Council. Research highlights systemic barriers to sustainability transitions in agriculture, with recent work analyzing dairy farming and farmer collectives. His outreach includes media appearances on nitrogen policy, nature restoration, and sustainable food systems. Professional memberships span international networks like Earth System Governance and the Wageningen School of Social Sciences.
Ning Nan is an Associate Professor at the University of British Columbia's Sauder School of Business, specifically within the Department of Accounting and Information Systems. With a BA from Peking University, an MA from the University of Minnesota, and a PhD from the University of Michigan, Dr. Nan focuses on digital business strategy, evolvable IT infrastructure, and complex adaptive systems. His research explores blockchain applications, agent-based modeling, and the intersection of AI with societal challenges like sustainability. Education: PhD in Information Systems, University of Michigan MA in Information Systems, University of Minnesota BA in Computer Science, Peking University Research Interests: Dr. Nan investigates how technology shapes organizational and societal systems, with a focus on AI ethics, sustainability through personalized recommendations, and blockchain's role in decentralized supply chains. He employs agent-based modeling to simulate complex phenomena like innovation diffusion and online community dynamics. Recent work addresses explainable AI in smart cities and carbon-reduction gamification strategies. Teaching: In 2024-2025, he teaches Data Management for Business Analytics , emphasizing practical applications of data-driven decision-making. Key Research Themes: His articles highlight trends in AI sustainability (e.g., carbon footprint impacts of recommendation systems), digital business strategy (blockchain governance, app update strategies), and foundational IS theory (hyperturbulence and IS strategy).
Jampel Dell'Angelo is an Associate Professor with ius promovendi in Water Governance and Politics at the Department of Environmental Policy Analysis, Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam. He holds concurrent roles as a Visiting Scholar at the University of California, Berkeley's Ecohydrology Lab, and an Environmental Governance Affiliate Scholar at SESYNC, Maryland. His research focuses on multilevel dimensions of water governance, climate adaptation in African irrigation systems, and transnational land investments' impacts. He leads the EU-funded NEWAVE project, coordinating 15 Early Stage Researchers across 10 institutions. Educated with a dual PhD in Environmental Science (Autonomous University of Barcelona) and International Cooperation (Sapienza University), he also holds advanced degrees from the LSE, Sapienza, Curtin, and the University of Siena. As Editor-in-Chief of World Development , he promotes interdisciplinary research on socio-environmental systems. His work contributes to UN SDGs related to clean water, sustainable cities, and responsible production. Research interests span water grabbing dynamics, socio-ecological resilience, and policy frameworks for equitable resource management. Recent projects address Mediterranean water scarcity solutions and the socio-political implications of global land rushes. He supervises PhD candidates exploring themes like water democracy, agrifood transitions, and environmental justice. Key contributions include pioneering analysis of 'water commons grabbing' and documenting the Global Water Grab Syndrome. His documentary work complements field research, such as Working Together: Research and Water Governance on Mount Kenya . Current projects emphasize innovative governance models and climate-resilient water management in transboundary contexts.
Professor Roberta Fida is the Head of the Leadership and Management Department at Aston Business School, part of Aston University in the UK. She holds a Professorship in Organisational Behaviour and Organisational Psychology, with prior roles including Professor of Work Psychology at the University of East Anglia and Chair of the Ethics Committee there. A Chartered Occupational Psychologist with the British Psychological Society, her research focuses on unethical workplace behaviors, moral disengagement, and workplace stress, particularly in healthcare contexts. She specializes in advanced data analytics like structural equation modeling and has led major grants including EDI initiatives and studies on workplace aggression policy mapping. Her work bridges academic research with practical applications to foster ethical and inclusive organizational cultures. Education: Laurea (5-year degree in Work and Organizational Psychology) from Sapienza University of Rome (2002) MA in Organizational Training (2004–2005) PhD in Psychology from Sapienza University (2006) Postgraduate Certificate in Higher Education Practice (UEA, 2017) Italian National Qualifications as Full Professor (2017) and Associate Professor (2013) Research Interests: Her core areas include moral disengagement, counterproductive workplace behaviors, stress resilience, healthcare leadership, and EDI. She has published over 60 articles and is listed in Stanford's Top 2% Scientists globally. Awards & Grants: NIHR Work & Health Development Award (2023–2024) for EDI Smart-Dash (£95,855) INAIL grants totaling over €1.1 million for psychosocial risk studies and work-related stress analyses ESRC funding for workplace wellbeing research (£659,540) Research Council of Canada grant for nurse leadership studies ($202,852) Teaching & Supervision: She has taught across undergraduate to postgraduate levels, including modules on organizational psychology, multivariate analysis, and conflict management. She supervises PhD students and has led course design for programs focusing on organizational wellbeing and research methods.
Hiroyuki Iseki is Associate Professor of Urban Studies and Planning at University of Maryland's School of Architecture, Planning and Preservation, and Research Affiliate with the National Center for Smart Growth. His work examines interactions between transportation, land use, equity, and environmental sustainability. Research focuses on: Transit-oriented development impacts on firm location Equity in public transit finance Climate policy implementation in urban planning Active transportation infrastructure analysis Recent publications analyze post-pandemic transit demand shifts, campus multimodal conflicts, and bicycle accessibility modeling. Methodological strengths include spatial econometrics, GIS analysis, and longitudinal data approaches. Work increasingly addresses climate adaptation in transportation planning and EV charging grid impacts. Research contributes to urban policy through WMATA collaborations and Japanese municipal climate planning studies. Current PhD program directorship advances urban planning analytics training.
Dr. Zara Ersozlu is a Senior Lecturer in Mathematics Education within the School of Education at the University of Newcastle, Australia. With a distinguished international career spanning multiple continents, she has held academic positions at prestigious institutions including North Carolina State University (USA), Gazi and Gaziosmanpasa Universities (Turkey), National Taiwan Normal University (Taiwan), The University of Western Australia, Murdoch University, and Deakin University. Her academic journey includes tenured positions as an Associate Professor and leadership roles as Department Head and Chair in teacher education disciplines. Currently, she teaches undergraduate and postgraduate courses in mathematics education, including Effective Pedagogies in Primary Mathematics, K-6 Mathematics, K-6 Numeracy, and Digitally Supported Learning. Dr. Ersozlu earned her Doctor of Philosophy from Firat University in Turkey and her Master of Art from Sakarya University. Her extensive academic preparation is complemented by five years of practical teaching experience in public schools prior to entering academia. This blend of theoretical knowledge and practical classroom experience informs her approach to teacher education and educational research. At the broadest level, Dr. Ersozlu's research investigates solutions to real-life problems impacting people's well-being, success, and capacity to achieve. Her scholarly work spans primary and secondary mathematics education, the psychology of mathematics (including metacognition, self-regulation, and anxiety), cross-cultural educational studies, teacher education, virtual simulated learning environments, and educational assessment. She has increasingly focused on the transformative potential of AI and machine learning in education, exploring how these technologies alter teaching, learning, and research processes. Her methodological expertise encompasses both quantitative and qualitative approaches, allowing her to effectively analyze both small and large educational datasets. Analysis of Dr. Ersozlu's recent publications reveals a strong emphasis on mathematics anxiety, teacher education, and the integration of technology in learning environments. Her work demonstrates a consistent focus on practical applications of educational research to address real-world challenges in mathematics education. The interdisciplinary nature of her research connects educational psychology, technology integration, and cross-cultural perspectives, with particular attention to how these elements intersect in teacher preparation and student learning outcomes. 2023 ATEA Research Recognition Award from the Australian Teacher Education Association 2021 Fellow of the Higher Education Academy (Advance HE, UK) 2010 Fellowship Program for Postdoctoral Researchers from the Council of Higher Education of Turkey Dr. Ersozlu is deeply committed to mentoring the next generation of scholars, currently supervising four PhD students and having successfully guided ten students to completion. Her grant portfolio includes significant funding for projects such as Best Practice Guidelines for RPL in Initial Teacher Education Programs ($60,000), Exploring the Reciprocal Relationship Between Mathematics Anxiety and Mathematical Resilience ($2,599), and multiple conference travel awards. She serves as an Associate Editor for several prominent journals including the International Electronic Journal of Mathematics Education and as Editor for Interdisciplinary STEM Education. Her editorial work reflects her standing as a respected voice in mathematics education research. Dr. Ersozlu's academic leadership extends to her role in developing innovative teaching approaches that integrate virtual simulation technology and learning analytics. Her work with TeachLivE™, a mixed-reality classroom simulation platform, demonstrates her commitment to creating authentic learning experiences for teacher education students. Through these initiatives, she bridges the gap between educational theory and classroom practice, preparing future educators to effectively implement evidence-based teaching strategies in diverse learning environments.
University of North Carolina at Chapel HillUnited States
Dr. Daniel J. Bauer is a Professor and Director of the Quantitative Psychology Program and L.L. Thurstone Psychometric Laboratory at the University of North Carolina at Chapel Hill. His research focuses on advancing quantitative modeling techniques for studying negative social behaviors, health outcomes, and psychopathology, with expertise in generalized and nonlinear latent variable models, including multilevel models, structural equation models, and mixture models. His work emphasizes methodological innovations such as Bayesian regularization, measurement invariance evaluation, and the integration of deep learning with psychometrics. Bauer advises doctoral students in quantitative psychology and collaborates with developmental psychology programs. He leads the Thurstone Laboratory, one of the oldest quantitative psychology training programs in the U.S., emphasizing rigorous methodological training and applications in behavioral sciences. Bauer’s research trends span computational advancements in latent variable analysis, regularization for bias detection, and dynamic modeling of developmental processes. His advising includes over a dozen doctoral students now in academia and industry roles. He contributes to labs and initiatives like the Center for Developmental Science, advancing interdisciplinary research in psychological measurement and intervention evaluation.
Professor Grahame Holmes is an Honorary Professor in the School of Engineering at RMIT University, Australia. His expertise spans electrical energy conversion, smart energy systems, renewable energy integration, power electronics, and grid infrastructure. He focuses on advancing technologies for sustainable energy storage, grid stability, and high-efficiency power conversion. Research Interests : Electrical and Electronic Engineering, Communications Technologies, Power Electronics, Renewable Energy Systems, and Grid Integration Solutions. His work emphasizes practical applications such as hydrogen energy storage systems, grid-interactive inverters, and modular multilevel converters. Recent Contributions : Prof. Holmes has published extensively on topics like advanced PWM techniques, resonant current controllers, and DC transformer designs. His research bridges theoretical advancements with real-world implementations, addressing challenges in smart grid stability and high-frequency power conversion. Advising & Grants : Supervised projects include 'Hydrogen Energy Storage System for Nanogrid' (2015) and 'Synchronised Control of Grid-Interactive Inverters' (2015). While specific grant details are not listed, his work aligns with major themes in sustainable energy research. Labs & Collaborations : Engages in collaborative research through RMIT's facilities, focusing on hardware-software co-simulation frameworks and FPGA-based real-time systems.
Vladimir Kazeev is an Assistant Professor at the Faculty of Mathematics, University of Vienna , where he has held a faculty position since 2019. He also held previous academic appointments as a Szegő Assistant Professor at Stanford University (2017–2019), a postdoctoral researcher at the University of Geneva (2015–2017), and research positions at ETH Zurich (2011–2015), Russian Academy of Sciences (2008–2011), and Moscow Institute of Physics and Technology (2009). His research focuses on adaptive, data-driven numerical methods for differential equations, nonlinear low-parametric approximation, and numerical linear algebra. His work intersects computational mathematics, tensor methods, and high-dimensional problem-solving, particularly in the context of partial differential equations (PDEs) and stochastic modeling. The 15 most recent publications reveal a strong emphasis on quantized tensor-structured methods for PDEs, low-rank approximations, and high-dimensional numerical analysis. His research spans theoretical advancements in tensor decomposition, practical applications in chemical reaction networks, and novel discretization techniques for multiscale and degenerate diffusion problems. Scientific awards include the prestigious ETH Medal for outstanding doctoral theses (2016) Russian Academy of Sciences Medal for outstanding student works in mathematics (2011) Advising and teaching activities include supervising Jason Zhu (Stanford, 2019) and Simon Etter (ETH Zurich, 2014), as well as teaching advanced courses in tensor methods, numerical analysis, and PDEs at the University of Vienna, Stanford University, and the University of Geneva. His service to the community includes peer review for 15+ journals and co-organizing minisymposia at SIAM meetings.
Justin Jansen is a Professor of Corporate Entrepreneurship at Rotterdam School of Management (RSM) within Erasmus University Rotterdam. Affiliated since 2001, his academic career spans over two decades. He holds a PhD in Management (2005) from Erasmus University. His research focuses on organizational growth, strategic renewal, and leadership dynamics in fast-growing firms. He co-founded the Erasmus Centre for Entrepreneurship (ECE) and pioneered the European ScaleUp Institute, fostering scale-up ecosystems across Europe. His work bridges academia and practice, addressing how organizations navigate paradoxes between exploration and exploitation. He has advised companies and governments on innovation strategies and entrepreneurial ecosystems. Editorships include Journal of Management Studies , and he’s an editorial board member of leading journals like Academy of Management Journal . Notable awards include the ERIM Best Paper Award and being named one of the world’s top entrepreneurship scholars. Research highlights include frameworks for scale-up DNA, leadership roles in ambidextrous organizations, and the role of social networks in corporate-startup collaborations. He co-developed BuildtoGrow, a venture applying research-based game-based learning tools for scaling organizations. Key collaborations include work with the European ScaleUp Institute and advisory roles for governmental agencies on entrepreneurial climate improvement. His 50+ publications span topics like absorptive capacity, strategic agility, and middle management roles in strategy implementation.
Guanglei Hong is a Professor at the University of Chicago, holding tenure in the Comparative Human Development Department and the Committee on Education. She chairs the University-wide Committee on Quantitative Methods in Social, Behavioral, and Health Sciences and the Committee on Education. Her research focuses on causal inference methodologies for evaluating educational and social policies, particularly mediation and moderation effects in multi-level longitudinal studies. She developed the RMPW and MMWS methods, widely used in causal mediation analysis. Hong holds a Master’s in Applied Statistics and a Ph.D. in Education from the University of Michigan. Education: Ph.D. in Education, University of Michigan, 2004 Master's in Applied Statistics, University of Michigan, 2002 Research Interests: Hong’s work centers on causal moderation and mediation, spillover effects, and sensitivity analysis in policy evaluation. She applies these methods to assess impacts of educational programs, contextual changes, and socioeconomic factors on child/youth development. Her monograph *Causality in a Social World* (2015) is a foundational text in the field. Awards: John Simon Guggenheim Fellowship (2021–2022) William T. Grant Scholar Award (2009–2014) NAE/Spencer Postdoctoral Fellowship (2006–2007) AERA Mary Catherine Ellwein Dissertation Award (2005) Teaching & Training: Hong teaches advanced quantitative methods courses, including causal inference and mediation analysis. She leads the NSF-funded SIARM for STEM institute, training researchers in computational methods for education research. Notable courses include *Advanced Topics in Causal Inference* and *Mediation, Moderation, and Spillover Effects*. Grants & Leadership: Hong leads major grants from NSF, IES, and private foundations. Her current projects include methodological advancements for multisite trials and sensitivity analysis in mediation. She has co-authored over 60 peer-reviewed articles and edited volumes, and serves on editorial boards of leading journals. Labs/Teams: Hong directs the Quantitative Methods Group at the University of Chicago, fostering interdisciplinary collaborations in causal inference and policy evaluation. Her work integrates statistical innovation with real-world applications in education and health sciences.
Liangzhong Yao is a Professor and Director of the Smart Grid Research Institute at Wuhan University, China. He holds dual roles as Fellow of IEEE and IET, and has served in leadership positions such as Vice President of China Electric Power Research Institute (CEPRI) and Chair of IEC TC122. His expertise spans renewable energy grid integration, HVDC systems, smart grid technologies, and energy storage. Yao has led over 25 years of R&D projects with combined funding exceeding GBP 20 million and RMB 90 million, resulting in applied technologies in wind farms and HVDC grids. He has been awarded over 10 national and international accolades, including the IEC 1906 Standard Award and China Science and Technology Innovation Awards. Research focuses include AC-DC hybrid systems, distributed energy resource integration, and high-renewable energy grid operation. He has authored/co-authored 350+ publications, 60+ patents, and 4 books. Yao currently supervises 8 PhD and 10 Master's students, and serves on editorial boards of journals like CSEE Journal of Power Energy & Systems. His leadership roles in global standards bodies like IEC and CIGRE further highlight his contributions to advancing electrical engineering standards and practices.
