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Mousumi BanerjeeView profile

Research Professor

• Biostatistics
• Cancer Research
• Health Services Research
• +4 more

Mousumi Banerjee is the Anant M. Kshirsagar Collegiate Research Professor in the Department of Biostatistics at the University of Michigan School of Public Health. She also holds the position of Research Professor in Global Public Health and serves as Director of Biostatistics for the Pediatric Cardiac Critical Care Consortium (PC4) Analytic Center and Director of Global StatCore. Her affiliations include the Rogel Cancer Center, Institute for Healthcare Policy and Innovation, Center for Global Health Equity, and Michigan Institute for Data Science (MIDAS). Bachelor's & Master's in Statistics from Indian Statistical Institute, Kolkata PhD in Statistics from University of Wisconsin-Madison (1994) Dr. Banerjee develops advanced statistical methodologies for biomedical applications, particularly in cancer and pediatric heart disease. Her research includes predictive modeling, machine learning, causal inference, survival analysis, and correlated data techniques. She focuses on health disparities and equitable care delivery, collaborating across disciplines including neurology, surgery, and social determinants of health. Recent publications demonstrate her expertise in statistical algorithm development for clinical quality assessment, disease classification, and healthcare outcomes. Her work spans applications in bladder cancer detection, thyroid cancer follow-up imaging, HPV-related oropharyngeal carcinoma analysis, and cardiac arrest prevention in pediatric critical care settings. Scientific Awards Fellow of the American Statistical Association Elected member of the International Statistical Institute As Director of Global StatCore, Banerjee enhances biostatistical support for global public health initiatives. She leads major methodological projects for the Pediatric Cardiac Critical Care Consortium (PC4) and works with national datasets like SEER, NCDB, and Medicare claims to analyze healthcare disparities and quality improvement metrics.

Ling ChenView profile

Associate Professor

• Political Economy
• State-Business Relations
• Authoritarian Capitalism
• +7 more

Ling Chen is the William L. Clayton Chair and Associate Professor at the Johns Hopkins University School of Advanced International Studies (SAIS). She is affiliated with the Agora Institute at JHU as a member of the Center for Economy and Society. She has held prestigious fellowships including Wilson China Fellow at the Woodrow Wilson Center and Non-resident Associate at Harvard's Fairbank Center for Chinese Studies. Prior to SAIS, she was a Shorenstein Postdoctoral Fellow at Stanford University and Rajawali Fellow at Harvard Kennedy School. Her research focuses on political economy , state-business relations , and authoritarian capitalism in China. She investigates the political and institutional origins of economic policies, combining field interviews with statistical analysis and machine learning. Her work explores how bureaucratic coalitions shape industrial, tax, and economic policies under authoritarian rule. Chen’s publications span leading journals such as American Journal of Political Science , International Security , The China Journal , and World Development . Her research trends show a strong emphasis on the intersection of economics and politics in non-democratic regimes, with growing use of computational methods. She has also published in The Washington Post , Axios , and Wilson Center reports, and her commentary has been featured in New York Times , Foreign Affairs , and Financial Times . Scientific awards and recognitions include: 2022 American Political Science Association (APSA) Best Comparative Policy Paper Award NCID Diversity Scholar, University of Michigan Catalyst Award for her second book project She has received research funding from the Social Science Research Council (Andrew Mellon Foundation), Wilson Center, Chiang Ching-Kuo Foundation, Institute for Humane Studies, and Stanford University. She has advised on policy through congressional testimony before the US-China Economic and Security Review Committee. Her public engagement reflects a strong commitment to translating academic research into policy impact. Ling Chen is involved in research initiatives at the Agora Institute’s Center for Economy and Society and collaborates with interdisciplinary teams across JHU, Harvard, and Stanford. Her ongoing work continues to explore capitalist development under authoritarian governance in China.

• Labor Market Economics
• Econometric Modeling
• Macroeconomics
• +3 more

Fredrik Bakkemo Kostøl is an Associate Professor at the Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology (NTNU), with a focus on labor market economics and econometric modeling. He holds a PhD in Social Economics from NTNU and has extensive experience in macroeconomic and microeconomic analysis. University: Norwegian University of Science and Technology (NTNU) School: Faculty of Economics Department: Department of Industrial Economics and Technology Management Email: fredrik.b.kostol@ntnu.no His research explores the Norwegian cooperative model's impact on productivity, wage formation, and technological development in enterprises. Key themes include collective bargaining, labor union effects, and infrastructure economics. Recent publications analyze union-driven wage equity, automated assessment tools in education, and challenges to the Norwegian model posed by non-unionized business practices. Articles highlight econometric studies on macroeconomic stability, labor market inequality, and educational funding mechanisms. Collaborative work with researchers like Elin Svarstad and Morten Kringstad spans topics such as bonus schemes in retail and productivity in unionized workplaces. He has contributed to discussions on low-skilled immigrant integration, public sector training, and future labor market trends. His methodological expertise includes microdata analysis, time series modeling, and socio-economic policy evaluation.

• Retinal Disease
• Age-Related Macular Degeneration
• Retinal Detachment
• +12 more

Luciano V. Del Priore, MD, PhD serves as the Robert R. Young Professor of Ophthalmology and Visual Science at Yale School of Medicine, where he also holds the position of Chair of the Department of Ophthalmology and Visual Science and Chief of Ophthalmology at Yale New Haven Hospital. Previously, he was the Pierre G. Jenkins Professor and Chair of Ophthalmology and Visual Science at the Medical University of South Carolina, and held faculty positions at Columbia University and Washington University School of Medicine. Dr. Del Priore specializes in the surgical and medical treatment of retinal diseases, with particular expertise in age-related macular degeneration, retinal detachment, diabetic retinopathy, and macular holes. His research focuses on the cell biology of retinal degenerations and cell-based therapies for conditions including retinitis pigmentosa, Stargardt's disease, and atrophic age-related macular degeneration. He has made significant contributions to understanding the role of the retinal pigment epithelium in maintaining the choriocapillaris and how its dysfunction affects visual recovery after surgery. His recent publications demonstrate a strong emphasis on applying advanced computational techniques to understand retinal disease progression, including deep learning frameworks for medical image segmentation and statistical methods for analyzing longitudinal disease trajectories. His work bridges clinical ophthalmology with cutting-edge computational approaches to improve diagnosis and treatment of retinal conditions. America's Top Doctors (2019) Life Fellow, American Academy of Ophthalmology (2018) Senior Achievement Award, American Academy of Ophthalmology (2016) Distinguished Alumnus Award, Wilmer Eye Institute (2012) Lew R. Wasserman Award, Research to Prevent Blindness (1999) Senior Honor Award, American Society of Retina Specialists Dr. Del Priore maintains an active research laboratory focused on the biology of the retina in health and disease. He has been involved in clinical trials of stem cell-derived therapies for retinal degenerations and has published extensively in peer-reviewed literature. His work has led to better understanding of disease progression in geographic atrophy, Stargardt's disease, and choroideremia, with the goal of improving clinical trial design and drug efficacy assessment.

• Energy Demand
• Demand Side Response
• Time Use and Energy Consumption
• +12 more

Jacopo Torriti is a Professor at the University of Reading, affiliated with the School of the Built Environment and the Department of Construction Management and Engineering. His research lies at the intersection of energy demand, social practices, and policy, with a focus on achieving sustainable and equitable energy transitions. His primary research interests include energy demand, demand side response, time-use behavior, electricity pricing, energy policy, smart meters, peak electricity demand, and energy flexibility. His work integrates empirical analysis of time-use and energy data with modeling and policy evaluation to understand how daily activities shape energy consumption and how interventions can shift demand in time and space. The 15 most recent publications highlight a consistent focus on the relationship between human behavior, time-use patterns, and electricity demand. Key themes include the social and spatial dimensions of energy use, the design and impacts of time-of-use tariffs, demand flexibility, and the role of occupant behavior in building energy performance. His research employs diverse methods, including statistical modeling, neural networks, and critical policy analysis, often drawing on large-scale survey data from the UK and other European countries. While no specific scientific awards are mentioned in the provided text, his extensive publication record in top-tier journals and edited volumes, along with contributions to policy reports, reflects significant scholarly impact. Torriti has supervised or collaborated with several researchers, including Yunusov, Ramirez-Mendiola, Lorincz, Curtis, and Smith, on projects related to demand flexibility, time-use analysis, and demand response. He has been involved in research grants and projects funded by organizations such as the DEMAND Centre and has contributed to policy-oriented work for institutions like Citizens Advice and ResPublica. His work often involves interdisciplinary collaboration across energy, sociology, and policy studies. He is a key contributor to research on energy demand through the Centre for Research into Energy Demand Solutions (CREDS) and the DEMAND Centre, where his work on the social and temporal aspects of energy use has been influential. His research helps inform policy and practice on how to manage peak demand, integrate renewable energy, and design equitable energy tariffs.

• Sustainable & Impact Investing
• ESG Analysis
• Climate Finance
• +13 more

Dr. Jun Han is an Adjunct Professor at Georgetown University's McCourt School of Public Policy and affiliated with the Beeck Center for Social Impact + Innovation. He holds a Ph.D. from Oxford University and has extensive experience across leading institutions including the University of Pennsylvania, Peking University, and the World Bank Group. His academic and professional work bridges rigorous research with practical implementation in sustainable finance, social innovation, and climate resilience. Dr. Han’s research focuses on sustainable and impact investing, ESG analysis, climate finance, social entrepreneurship, impact measurement, and AI strategy. His interdisciplinary work integrates public policy, sociology, and financial systems to address global challenges. He has published extensively in top journals such as Journal of Social Entrepreneurship , VOLUNTAS , and Chinese Sociological Review , and has co-authored influential books on impact investing and social enterprises. His recent publications reveal a strong trend toward disability inclusion, AI-enhanced climate finance, and social infrastructure development. He has led major consulting projects for the World Bank, focusing on portfolio reviews, climate notes, and AI integration. His work consistently emphasizes practical solutions, policy relevance, and cross-sector collaboration. Scientific Awards: For Good Award of Top 10 Annual Academic Research 2022 For Good Award of Top 10 Annual Academic Research 2023 Dr. Han has mentored emerging leaders in sustainable finance and social innovation, particularly through his teaching at Georgetown University. He has secured significant research funding, including raising $87,700 as Senior Research Manager at US SIF. His collaborative work spans international organizations such as the World Bank, IFC, US SIF, Independent Sector, and the Food and Land Use Coalition. He is actively involved in research teams and initiatives focused on social impact, climate resilience, and inclusive development, contributing to global policy frameworks and implementation strategies.

• Social Psychology
• Health Psychology
• Intergroup Relations
• +5 more

Kareena McAloney-Kocaman is a Senior Lecturer in Applied Health Psychology and Head of Department in Psychology at Glasgow Caledonian University. She is a Chartered Psychologist with affiliations to the British Psychological Society, Higher Education Academy, and Royal Statistical Society. BSc (Hons) Social Psychology, Ulster University PhD Social Psychology (Religious Segregation Impact), Ulster University PG Diploma Health Care Ethics and Law, University of Manchester Her research focuses on social and health psychology, particularly how group identities affect well-being in marginalized populations. Key areas include intergroup relations, mental health, statistical modeling, and digital technology's role in well-being. Recent projects address veteran family well-being, alcohol use in fatherhood, and physical activity interventions for youth mental health. Her publications span topics like pulmonary rehabilitation preferences, interprofessional team training, LGBTQ+ intimate partner violence, and creative parenting. Awards include editorial roles and peer-review contributions to journals such as BMJ Open.

• Natural Language Generation
• Vision and Language Models
• Data Pruning
• +8 more

Albert Gatt is a researcher at the University of Malta , with extensive contributions to Natural Language Generation (NLG) , Vision-and-Language (V&L) models , and evaluation practices in NLP . His work spans multimodal reasoning, data pruning efficiency, and reproducibility challenges in human evaluations. Key collaborations include studies on temporal grounding in image sequences (TempVS benchmark) and automated legal violation detection in cookie banners. Research highlights include bridging linguistic theory with computational models (e.g., VALSE benchmark for multimodal grounding) and improving generation quality through contrastive learning frameworks. Scientific awards are not explicitly mentioned in the provided texts. His work emphasizes rigor in automatic metric validation and cross-modal interpretability , particularly in multimodal model attention mechanisms and logical formula minimization for text generation.

Antonina TereshchenkoView profile

Senior Lecturer

• Educational Equity
• Teacher Retention
• Minority Ethnic Teachers
• +8 more

Dr Antonina Tereshchenko is a Senior Lecturer in Education at Brunel University London, within the College of Business, Arts and Social Sciences. She currently serves as the Education MA Programme Leader and teaches in the postgraduate programme. Prior to joining Brunel in 2021, she worked at the UCL Institute of Education, King's College London, and the University of Porto on postdoctoral projects related to migration and education. Her educational background includes a PhD and MPhil in Education from the University of Cambridge. Dr Tereshchenko's research focuses on teacher retention, particularly for minority ethnic and migrant teachers, educational equity, racial microaggressions in teacher training, and the impact of attainment grouping in secondary mathematics. She investigates how structural and racial inequalities affect teachers and students, with a strong emphasis on policy-relevant outcomes. Her recent publications (2020–2025) demonstrate a consistent focus on equity in education, especially around teacher diversity, attainment tracking, and the experiences of marginalized educators. These works span journals in education, sociology, and policy, reflecting interdisciplinary engagement. She has received funding from major bodies including the ESRC, Education Endowment Foundation, British Academy, and Brunel University London for projects on teacher recruitment, retention, and grouping practices. Co-I, ESRC Education Research Programme: Recruitment and retention of minority ethnic teachers (2022–2025) Co-I, Education Endowment Foundation: Effects of attainment grouping in secondary mathematics (2019–2025) Principal Investigator, Brunel BRIEF: Professional experiences of teachers with a migration background Dr Tereshchenko supervises PhD students on topics including contextual admissions, equity in urban schools, and quality assurance in higher education. She also contributes to public discourse through media appearances in BBC, TES, The Guardian, and The Conversation, advocating for diversity and inclusion in education. She is a member of the European Sociological Association and serves on the Editorial Advisory Board of Teachers and Teaching: Theory and Practice .

• Health Science Education
• Curriculum and Instruction
• Nuclear Medicine Physics
• +12 more

Greg Passmore is a Professor and Department Chair in the Department of Undergraduate Health Professions within the College of Allied Health Sciences at Augusta University. He holds academic appointments in health professions education and clinical physics, and serves in key administrative and institutional roles related to curriculum, research integrity, and radiation safety. His educational background includes: Ph.D. in Curriculum and Instruction, University of Missouri–Columbia, 1996 M.S. in Nuclear Engineering, University of Missouri–Columbia, 1987 B.S. in Biology, Truman State University, 1978 Greg Passmore's research spans two major domains: health science education and clinical nuclear medicine physics . In education, he investigates meaningful learning interventions such as concept mapping, clinical reasoning development, student anxiety, preceptor bias, and curriculum design. In clinical research, he focuses on nuclear cardiology, particularly dual-isotope single acquisition protocols, gamma camera optimization, and collimator material design. His methodological expertise includes non-parametric statistical analysis and survey validation. The recent publications reflect a consistent interdisciplinary trajectory combining educational innovation with clinical imaging science. His work appears in journals and reports related to nuclear medicine technology, medical education, and cognitive assessment, showing sustained scholarly productivity over the past decade. His scientific honors include: Phi Kappa Phi Membership (2021) Outstanding Faculty Member, College of Allied Health Sciences (2018) First Place Scientific Abstract, SECSNMMI Annual Meeting (2017) First Place Scientific Abstract, SECSNMMI Technologist Section (2014) Second Place Scientific Abstract, SNM Technologist Section (2014) Dr. Passmore actively mentors graduate and undergraduate students in research, particularly in APHS 9300 (Dissertation Research) and NMMT 4620 (Research Design & Statistics). He has served on numerous grant and institutional review panels, including the AU Institutional Review Board (since 1997) and the AU Radiation Safety Committee (as Chair since 2000). He has contributed to curriculum development at departmental, college, and university levels, and has served on promotion and tenure committees. His professional service includes editorial and committee roles with the Journal of Nuclear Medicine Technology, Journal of Nuclear Medicine and Radiotherapy, and the Nuclear Medicine Technology Certification Board. He leads the institutional Radiation Safety Committee and is deeply involved in departmental governance through curriculum, peer review, and faculty manual committees. His work integrates academic leadership, educational scholarship, and clinical physics oversight, positioning him as a key figure in health professions education and nuclear medicine safety at Augusta University.

Omid Vakili EbrahimiView profile

Researcher

• Clinical Psychology
• Psychiatric Epidemiology
• Methodology
• +8 more

Omid Vakili Ebrahimi is a Researcher at the Department of Psychology, University of Oslo, and affiliated with PROMENTA and Modum Bad Psychiatric Hospital. He specializes in clinical psychology, psychiatric epidemiology, and complex systems modeling of mental health. Education: Cand.psychol. (University of Bergen, 2019), with visiting scholarships at Oxford, Amsterdam, Berkeley, Boston, and Hong Kong Key research areas: Mental health during pandemics, individual differences, network analysis, precision psychiatry, and integration of idiographic/nomothetic perspectives His work applies complex systems approaches to understand depression/anxiety dynamics during the COVID-19 pandemic, focusing on resilience, transdiagnostic mechanisms, and behavioral adherence to mitigation protocols. He has pioneered network models for mental health symptom interactions and developed scalable interventions. Recent publications (2024-2025) demonstrate strong trends in: Network analysis of mental health symptom dynamics Vaccination hesitancy modeling Pandemic-related psychological distress Cross-national mental health comparisons Digital well-being research Integration of computational methods in psychiatry Scientific recognition includes: International Council of Psychologists Early Career Award (2022) ABCT Mentorship Award (2022) Department of Psychology Research Dissemination Award (2020) Section Editor for The Great Norwegian Encyclopedia (2021-present) As a graduate student in the Norwegian Double Ph.D. Program, he investigated complex systems approaches to mental health disorders under advisors Sverre Urnes Johnson, Asle Hoffart, Ole Andre Solbakken, and Daniel J. Bauer. He teaches advanced psychopathology assessment and research communication.

Michele GelfandView profile

Professor

• Cultural Psychology
• Cross-Cultural Management
• Organizational Behavior
• +4 more

Michele Gelfand is a Professor of Organizational Behavior at Stanford Graduate School of Business and a Professor of Psychology (by courtesy) at Stanford University. She directs the Culture Lab, which investigates cultural norms, negotiation, conflict, revenge, forgiveness, and diversity through interdisciplinary collaborations with computer scientists, neuroscientists, and political scientists. Her research focuses on the concept of 'tightness-looseness' in cultures, exploring how rigid or permissive social norms shape societal responses to threats, innovation, and governance. She has received over $13 million in funding from the National Science Foundation, Department of Defense, and the FBI. Current Affiliation: Stanford Graduate School of Business Previous Affiliation: University of Maryland Gelfand's work spans cultural psychology, organizational behavior, and conflict management. Recent studies examine gene-culture interactions, gender inequality dynamics, and the role of cultural tightness in pandemic response. She has published in top journals like Science , PNAS , and The Lancet Planetary Health , often integrating neuroscience and computational methods. Her research on social norms during crises, particularly the early stages of the COVID-19 pandemic, highlights how cultural tightness-looseness influences compliance, identity, and policy effectiveness. Notable awards include election to the National Academy of Sciences (2021) and the American Academy of Arts and Sciences (2019), the Diener Award (2016), and the SIOP Distinguished Scientific Contributions Award (2022). She authored Rule Makers, Rule Breakers: How Tight and Loose Cultures Wire the World (Scribner, 2018) and co-edited multiple handbooks on conflict, negotiation, and cross-cultural psychology. Her lab's work extends to global cultural evolution, artificial intelligence's societal impact, and behavioral interventions in polarized environments. Key Themes: Cultural Tightness-Looseness, Social Norms, Conflict Resolution, Pandemic Behavioral Dynamics Grants: NSF, DoD, FBI Gelfand's interdisciplinary approach bridges psychology, business, and computational sciences, aiming to decode the primal templates of culture that govern human societies.

• Biostatistics
• Clinical trials
• Epidemiology
• +8 more

Cate d'Este is a Conjoint Professor and Honorary Professor at the University of Newcastle's School of Medicine and Public Health, specializing in Biostatistics. She has accumulated approximately 18 years of experience in health research and teaching in national and international arenas, primarily within the Faculty of Health and Discipline of Statistics at the University of Newcastle. She also maintains an Honorary Research Consultant position at the Centre for Military and Veterans Health at the University of Queensland. Professor d'Este holds the following qualifications: Doctor of Philosophy, University of Newcastle Graduate Diploma in Medical Statistics, University of Newcastle Diploma in Education, University of Newcastle Bachelor of Mathematics, University of Newcastle (majoring in statistics) As a biostatistician and methodologist, Professor d'Este's research spans various health domains with common themes including cardiovascular disease, randomized controlled trials, longitudinal studies, and meta-analysis. Her work emphasizes multidisciplinary research and capacity building in biostatistical methodology. She has extensive consulting experience nationally and internationally, providing quantitative and methodological input to numerous state and national committees, government agencies, and non-government organizations. Her recent publications demonstrate a strong focus on implementation science in stroke care, dementia prevention, cancer care, and public health interventions across multiple countries. There's a clear pattern of applying biostatistical expertise to complex health problems, particularly in the areas of stroke management, dementia risk reduction, and cancer care. Her work frequently involves cluster randomized trials, process evaluations, and multi-country comparative studies, reflecting her expertise in challenging methodological areas. Professor d'Este has received the following scientific recognition: Faculty of Health, University of Newcastle, Excellence in Teaching Award (2003) Professor d'Este has been an investigator on over 35 grants totaling more than $17 million and has co-authored nearly 100 peer-reviewed journal articles, book chapters, and commissioned reports. She has successfully supervised or co-supervised to completion six research masters students and six PhD students, with additional PhD students currently under supervision. Her supervisory approach encompasses a range of content areas and study designs with varying statistical complexity, including off-campus and international students. Her administrative roles, including Deans Representative for Research Higher Degree and Research Development Manager, have provided her with substantial understanding of the research higher degree process across the Faculty of Health. Professor d'Este has played key roles in several research centers and initiatives, including the Centre for Clinical Epidemiology and Biostatistics (CCEB), where she served on multiple committees. Her national and international committee work demonstrates her integration into broader research networks focused on health services research, clinical epidemiology, and biostatistics methodology. She has been instrumental in developing and coordinating distance learning programs in biostatistics, including managing cohorts of international students from Zimbabwe and Japan.

Maryam BostanaraView profile

Researcher

• Transport planning
• Econometric and statistical methods
• Machine learning
• +1 more

Dr. Maryam Bostanara is a Researcher at the City Futures Research Centre (CFRC) , part of the School of Built Environment at the University of New South Wales (UNSW Sydney). She completed her PhD in 2024 at the Research Centre for Integrated Transport Innovation (rCITI) , School of Civil and Environmental Engineering , UNSW Sydney, with a thesis titled "Urban Dynamics and Household Decisions: Advanced Statistical Methods in Relocation, Land Use, and Transport Planning." She holds a BSc and MSc in Industrial Engineering (Systems Optimization) from Sharif University of Technology, Iran (2016 and 2018). Maryam’s research focuses on the intersection of transport and land-use, emphasizing behavioral models and data-driven approaches to urban sustainability. Her work integrates data visualization , machine learning , and econometric methods to analyze residential relocation, transport planning, and urban dynamics. A notable trend in her publications is the application of advanced statistical frameworks (e.g., DDCM, survival analysis) to study relocation behaviors, cycling infrastructure, and time-use patterns during crises like the COVID-19 pandemic. She has also contributed to interdisciplinary topics, including AI-driven healthcare analytics. Recipient of UNSW Women in Engineering Research Top-Up Scholarship Awarded Best research demonstration at TRANSW 2021 Maryam is supported by the Digital Grid Futures Institute Seed Funding (DGFI) 2024 and is affiliated with the CFRC, a leader in urban futures research. Her expertise spans transport modeling, behavioral economics, and data science, with a growing focus on health-related applications.

Emmanuel LazegaView profile

Professor

• Sociology of Organizations
• Economic Sociology
• Social Network Analysis
• +2 more

Emmanuel Lazega is a University Professor at the Center for the Sociology of Organizations (CSO) , affiliated with Sciences Po . His work focuses on neostructural sociology , integrating organizational analysis and social network analysis to study collective action across intra- and inter-organizational levels. He investigates phenomena like relational infrastructures , status dynamics , and public-private institutional shifts . Research Themes: He explores meso-level social processes (solidarities, social control, institutionalization) in markets (legal, financial, academic), professional networks (lawyers, judges, researchers), and transnational institutions like the European Unified Patent Court . His framework addresses multilevel network dynamics and joint regulation through interdisciplinary collaborations in network statistics. Scientific Awards: Georg Simmel Prize (2018) Senior Member, University Institute of France (2003, 2016) Wiarda Award and Chair, Utrecht University (2003–2004) Editorial Roles: Co-editor, Social Networks, Organizations and Markets (with Rafael Wittek and Tom Snijders) Member, editorial board of Social Networks (since 2007) President, European Academy of Sociology (since 2015)