Erik C. Nook serves as Assistant Professor of Psychology at Princeton University, conducting research at the intersection of emotion science, language processing, and mental health assessment. His work leverages computational linguistics and large-scale collaborative approaches to analyze psychotherapy processes and well-being indicators. Dr. Nook's research centers on emotion differentiation, vocabulary development, and regulatory mechanisms across the lifespan. He investigates how linguistic patterns in therapy correlate with treatment outcomes, the neural basis of emotion organization, and developmental trajectories of emotional complexity. His methodology integrates natural language processing, physiological modeling, and ecological momentary assessment to bridge clinical and cognitive psychology. Analysis of Dr. Nook's 2024-2025 publications reveals three dominant research streams: (1) Emotion vocabulary as a biomarker for mental health, (2) Machine learning applications for modeling affective experiences, and (3) Developmental studies of emotion concept organization. His work consistently employs interdisciplinary frameworks, frequently involving multi-institutional 'big team science' collaborations. Key methodological innovations include linguistic distancing metrics, physiological-affective modeling, and computational approaches to psychotherapy transcript analysis.
Mohsen TAVAKOLI serves as an Associate Professor in the Department of Management, Strategy and Entrepreneurship at Burgundy School of Business (BSB), where he conducts research at the intersection of entrepreneurship education, psychological dynamics, and teaching methodologies. His academic work focuses on the emotional and cognitive dimensions of entrepreneurial development, particularly examining how educator passion influences student outcomes. Dr. TAVAKOLI's research program centers on psychological capital formation in entrepreneurship education, investigating how teacher passion impacts students' hope, efficacy, resilience, and optimism. His studies address critical emotional challenges faced by entrepreneur mentors and explore innovative pedagogical approaches including nature-based learning and experiential methods. Key contributions examine the dual role of passion for teaching versus passion for entrepreneurship, and the implementation of qualitative research methods like collage-based data collection in entrepreneurial contexts. His publication record (2019-2025) reveals consistent thematic focus across 15 recent works, with predominant exploration of psychological capital mechanisms (40% of publications), emotional dynamics in mentorship (25%), and pedagogical innovation (20%). Notable patterns include increasing attention to research methodology development since 2022 and sustained investigation into passion constructs across all publication years. Dr. TAVAKOLI actively contributes to the academic community through conference organization (notably co-organizing the 'Cognition and Emotion in Entrepreneurship' track at AEI 2023) and editorial work for 'Entreprendre & Innover'. He maintains research affiliation with BSB's CEREN center, as documented in his institutional video profile, and participates in international scholarly dialogues bridging academic and public sector perspectives on entrepreneurship education.
Prof. Michael Biggs is a Professor of Sociology at the University of Oxford and a Fellow of St Cross College . His research spans social movements , political protest , and historical sociology , with a focus on collective action dynamics. He has made significant contributions to understanding protest volatility through endogenous feedback mechanisms and self-inflicted suffering as a form of protest, such as hunger strikes and self-immolation. Education : BA, Victoria University of Wellington MA and PhD, Harvard University His work integrates quantitative data and historical analysis , challenging conventional theories of protest mobilization. He emphasizes spatial patterns in social life, evident in studies on cartography and state formation , BNP membership , and London riots . Key projects include datasets on protest events in the US and Europe. Research Trends across his publications include: Analysis of protest diffusion in 1886 strikes, 1960 sit-ins, and 2011 London riots Examination of self-harm as coercion , spanning self-immolation and hunger strikes Spatial modeling of ethnic violence (Gujarat 2002) and right-wing extremism (British National Party)
Neal Roese serves as the SC Johnson Chair in Global Marketing and Professor of Marketing at Northwestern University's Kellogg School of Management, with a courtesy appointment as Professor of Psychology in the Weinberg College of Arts & Sciences. A globally recognized expert in consumer choice psychology, he chairs the Marketing Department (2020-2023) and teaches Strategic Brand Management and Startup Branding courses. His academic credentials include: PhD in Psychology, University of Western Ontario, Canada (1993) MA, University of Manitoba, Canada (1990) BSc, University of British Columbia, Canada (1987) Roese's research centers on counterfactual reasoning , regret , and hindsight bias , examining how individuals evaluate decisions, predict outcomes, and reinterpret past events. His interdisciplinary work bridges cognitive psychology and marketing strategy, resulting in over 100 publications and two books including "If Only: How to Turn Regret Into Opportunity". He frequently contributes to Harvard Business Review and Fast Company on decision-making insights. Recent publications demonstrate consistent focus on counterfactual processes across political behavior, brand management, and legal contexts, with increasing interdisciplinary applications in digital marketing education and moral psychology. His work maintains strong theoretical foundations while addressing contemporary consumer challenges. Scientific recognition includes: Fellow, Society for Personality and Social Psychology Roese actively shapes academic discourse through editorial leadership as Co-Editor of Routledge Open Science (2023) and extensive service on boards including Social Cognition and Journal of Experimental Social Psychology. His applied work includes Kellogg case studies on Harley-Davidson, Xiaomi, and Zopa, translating theoretical insights into strategic marketing frameworks for executives.
Nicola Suthor is a Professor of History of Art at Yale University, specializing in European art from 1600–1800, with a focus on Northern and Southern Baroque painting and sculpture. Her academic career spans positions at the universities of Berlin, Bern, Hamburg, Heidelberg, and Stanford, as well as a visiting membership at Princeton’s Institute of Advanced Studies (2011). She earned her M.A. (1998) and Ph.D. (2001) from Freie Universität Berlin and completed her Habilitation at Universität Bern (2008). 2021: Bravura: Virtuosity and Ambition in Early Modern Painting 2018: Rembrandt’s Roughness 2007: Im Agon der Künste 2005: Verklärte Körper. Ästhetische Strategien der Transfiguration Suthor’s research explores the intersection of art theory and practice, particularly the mechanics of sketching and the 17th-century artist’s “handwriting.” She analyzes historical art-writing from the Baroque era to uncover forgotten insights into painterly phenomena and examines how artistic processes inform intellectual frameworks. Her work bridges Renaissance and Enlightenment perspectives, emphasizing aesthetics and material culture. Her recent publications, including Bravura (2021) and Rembrandt’s Roughness (2018), highlight virtuosity and texture in early modern art. Earlier projects like Guercino’s 'wet' drawings (2013) and Il pennello articioso (2008) delve into technical specificity and the cognitive dimensions of brushwork. Suthor was awarded the Jacob Burckhardt-Price by the Max Planck Institut in Florence (2012), recognizing her contributions to art history. She also held visiting professorships at Villa I Tatti, Harvard’s Center for Italian Renaissance Studies, in 2017 and 2020. As an academic advisor, Suthor mentors students in European art from the Renaissance to the 18th century, including Northern/Southern Renaissance and Dutch/Italian Baroque studies. Her interdisciplinary approach integrates historical analysis, visual culture, and theoretical frameworks.
Tobin Hanspal is an Associate Professor of Finance at WU Vienna University of Economics and Business, where he is affiliated with the Department of Finance, Accounting and Statistics and the Institute for Finance, Banking and Insurance. He also serves as a Faculty Member at the Vienna Graduate School of Finance (VGSF) and as a Research Affiliate at the Leibniz Institute for Financial Research SAFE. Dr. Hanspal's research focuses on behavioral finance, household finance, and financial decision making. His work examines how individuals form beliefs about financial markets, make investment decisions, and respond to financial experiences. Key areas of investigation include the impact of personal experiences on risk taking, the role of financial education, investor behavior in cryptocurrency markets, and the effects of market crashes on household expectations. His research often employs field experiments and large-scale datasets to understand real-world financial behavior. His recent publications demonstrate a consistent focus on understanding how psychological factors and personal experiences shape financial decisions. The articles span topics from cryptocurrency investments to the behavioral effects of the COVID-19 market crash, revealing patterns in how households process financial information and make portfolio decisions. His work frequently appears in top finance journals including the Review of Financial Studies, Journal of Financial Economics, and Review of Finance. Scientific Awards: SIX Best Paper Award, Annual Conference of the Swiss Society for Financial Market Research (SGF Conference), 2024 Dr. Hanspal's research has been presented at major finance conferences including the European Finance Association (EFA), Swiss Finance Institute (SGF), and American Finance Association (AFA) meetings. His work has received attention for its practical implications for financial education, investor protection, and understanding household portfolio choices. He has collaborated with prominent researchers in behavioral finance across multiple institutions.
Prof. Dr. Thilo Meyer-Brandis is a full-time professor at the Mathematical Institute of Ludwig Maximilian University of Munich (LMU), specializing in stochastic differential equations and financial mathematics. His research focuses on mean-field SDEs, systemic risk modeling, and applications of stochastic processes to finance and insurance. Stochastic Differential Equations Financial Mathematics Systemic Risk Modeling Insurance Mathematics Lévy Processes Market Microstructure His recent publications analyze: 2025: Mean-field equations driven by G-Brownian motion and deep learning applications for asset bubble detection 2024: McKean-Vlasov SDE stability and systemic risk in financial networks 2023: Liquidity-driven bubble modeling via random matching 2022: Fire sale dynamics and contagion mechanisms 2021: Risk transfer equilibria and delayed market models He leads the Financial and Insurance Mathematics workgroup and offers courses like Finanzmathematik III and Advanced Topics in Mathematical Finance . Contact: Theresienstr. 39, Room B228, D-80333 Munich | Tel: +49 (0)89 2180-4489 | Email: Meyer-Brandis@math.lmu.de
Bin Zou is an Associate Professor in the Department of Mathematics at the University of Connecticut. His research focuses on actuarial science, financial mathematics, and stochastic control, addressing critical problems in insurance, reinsurance, and investment strategies. Ph.D. in Mathematical Finance (2015), University of Alberta M.S. (2009) and B.S. (2007) in Mathematics, Beijing Institute of Technology Bin Zou's work explores optimal insurance design, reinsurance games, and portfolio management under uncertainty. His recent studies analyze stochastic differential games for reinsurance chains, mean-variance investment strategies in contagious markets, and hedging mechanisms for cryptocurrency futures. His publications span top-tier journals like Insurance: Mathematics and Economics , SIAM Journal on Financial Mathematics , and European Journal of Operational Research . Key themes include moral hazard in insurance contracts, model ambiguity in risk management, and machine learning applications in actuarial contexts. Casualty Actuarial Society 2022 Individual Grant
David Myers, Ph.D. is a Professor and Chair of the Criminal Justice Department at the University of New Haven, within the Henry C. Lee College of Criminal Justice and Forensic Sciences. He has been at the University of New Haven since 2016, bringing extensive experience from his previous position as a Professor at Indiana University of Pennsylvania. Doctor of Philosophy in Criminology and Criminal Justice from University of Maryland, College Park (1999) Master of Science in Administration of Justice from Shippensburg University (1994) Bachelor of Science in Criminal Justice from Shippensburg University (1989) Dr. Myers specializes in criminal justice policy, planning, and evaluation, with particular expertise in juvenile justice and delinquency, crime and delinquency prevention, and research methods and quantitative analysis. His research has significantly contributed to understanding the effectiveness of various criminal justice interventions, particularly regarding juvenile curfews, which he has found to have limited impact on reducing crime. He has taught over 30 different courses at undergraduate, master's, and doctoral levels, with a focus on research methods and quantitative analysis. Dr. Myers' recent scholarly work demonstrates a strong focus on evidence-based practices in criminal justice, particularly in juvenile probation, drug courts, and police practices. His research often employs rigorous evaluation methods to assess the impact of criminal justice programs and policies. A notable trend in his work is the examination of contagion effects in policing and the evaluation of specialty courts, reflecting his commitment to improving evidence-based practices across the criminal justice system. 1st Vice President of the Academy of Criminal Justice Sciences Past-President of the Association of Doctoral Programs in Criminology and Criminal Justice Subject matter expert for the Crime & Justice Research Alliance Certified reviewer for Crimesolutions.gov and the OJJDP Model Programs Guide Editor of Routledge Studies in Juvenile Justice and Delinquency Editor and columnist for EBP Quarterly Dr. Myers has secured significant research funding, including a $788,241 grant from the National Institute of Justice for evaluating the Community-Based Violence Intervention and Prevention Initiative in New Haven (2025-2029). He has served as Principal Investigator or Co-PI on numerous research contracts with the U.S. Probation Office, Bureau of Justice Assistance, and other agencies. His work often involves researcher-practitioner partnerships to enhance evidence-based probation services and evaluate justice programs. Dr. Myers is frequently cited in national media for his expertise on juvenile justice issues, particularly regarding the ineffectiveness of juvenile curfews. He has contributed to policy discussions through his research being used to support juvenile justice reform bills, such as Maryland SB 165.
Bian Jiang serves as an Associate Professor at Shandong University's School of Management, specializing in enterprise theory and behavioral corporate governance. His academic work bridges theoretical frameworks with practical applications in Chinese economic contexts. Education: 1992.09-1999.06: Bachelor of Economics, Shandong University 1996.09-1999.06: Master of Management, Shandong University 2001.09-2004.12: PhD in Management, Shandong University His research critically examines corporate governance structures through behavioral lenses, investigating irrational decision-making in investment processes, minority shareholder protections, and capital exit mechanisms. Key contributions analyze contagion effects in China's macro-finance systems and behavioral adaptations of Western governance models within Chinese enterprises. His work consistently addresses institutional gaps in emerging markets while proposing governance reforms for state-owned enterprises. Publications from 2004-2010 reveal an evolving focus from foundational corporate governance structures toward behavioral finance applications, with increasing emphasis on systemic risk and decision-making pathologies in Chinese economic contexts. Recent works integrate macro-finance contagion analysis with micro-level behavioral corporate finance perspectives. Scientific Awards: Second Prize of the 20th Shandong Province Social Science Outstanding Achievement Award (2006) Bian leads multiple Shandong Provincial research initiatives including 'Research on Behavioral Corporate Governance' and 'Corporate Governance and Shareholder Exit Mechanism,' alongside university-funded projects analyzing behavioral decision theory applications. His industry collaboration 'Shanda Huatian's Path to Building a Technological Enterprise' demonstrates practical engagement with Chinese tech firms. As Secretary-General of the Shandong Comparative Management Research Association, he facilitates academic-industry knowledge exchange while teaching core undergraduate courses in Strategic Management and Corporate Governance.
James Gleeson is a Professor and Chair in Industrial and Applied Mathematics at the University of Limerick, holding this position since 2007. He is affiliated with the Department of Mathematics and Statistics, the Centre for Research Training in Foundations of Data Science, and serves as co-director of the Mathematics Applications Consortium for Science and Industry (MACSI). His educational background includes: PhD in Applied Mathematics, California Institute of Technology Masters in Mathematical Physics, University College Dublin Bachelor in Mathematical Science, University College Dublin Professor Gleeson's research centers on mathematical modelling of stochastic dynamics within complex systems and networks, bridging theoretical frameworks with real-world applications. Through MACSI, he collaborates extensively with industry and scientific partners to solve practical problems using advanced mathematical techniques, with significant contributions to network science and epidemic modelling. His recent publications (2023-2024) demonstrate a cohesive focus on network-based contagion processes, pandemic response modeling, and system resilience. Key themes include the application of branching processes to clustered networks, analysis of contact tracing efficacy in clique-structured populations, and agent-based validation of social interaction models, reflecting his dual commitment to theoretical rigor and societal impact. As an active PhD supervisor and co-director of MACSI, Professor Gleeson secures collaborative research funding from industry partners while mentoring the next generation of mathematical scientists. His group's work directly addresses real-world challenges through mathematical innovation. Leading MACSI's interdisciplinary team, he fosters partnerships between academia and industry to develop mathematical solutions for diverse sectors including public health, engineering, and data science, emphasizing practical implementation of theoretical advances.
Jinyuan Zhang is an Assistant Professor of Finance at the UCLA Anderson School of Management . She holds a Ph.D. in Finance from INSEAD (2021) , an M.Sc. in Statistics from the University of British Columbia (2015) , and a B.Sc. in Risk Management Science from The Chinese University of Hong Kong (2013) . Research Interests: Zhang’s work spans financial intermediation, focusing on banking, pension funds, mutual funds, and FinTech. Her recent research investigates: Household savings reallocation in response to public pension deficits Corporate bond fund fragility during monetary policy shifts FinTech’s role in financial inclusion disparities Bitcoin adoption under economic policy uncertainty Scientific Awards: 2019 Toronto FinTech Conference Runner-up 2018 CEPR-Imperial-Plato Market Innovator Conference Best Paper by a Young Researcher (2018) Notable Contributions: She has analyzed how digital disruption reshapes bank competition, the macroeconomic implications of household investment shifts, and the structural trade informativeness in high-frequency markets. Her work bridges theoretical modeling with empirical validation, leveraging data from financial crises, market trends, and policy reforms.
Dr Isla Rippon serves as a Research Fellow II in the Department of Health Sciences at Brunel University London's College of Health, Medicine and Life Sciences. She leads research on the ESRC-funded project 'Socially inclusive ageing: a lifecourse study of new ageing populations' investigating social health in minority older adults under Professor Christina Victor's leadership. Her educational background comprises a PhD in Epidemiology and Public Health from University College London, MSc in Demography and Health from the London School of Hygiene and Tropical Medicine, Postgraduate Diploma in Information Science from City University, and BA in Sociology and Politics from Royal Holloway. Dr Rippon specializes in gerontological research examining health and wellbeing across the lifecourse, with particular focus on loneliness/social isolation, dementia care experiences, age discrimination, and secondary data analysis. Her work frequently employs dyadic methodologies analyzing relationships between people with dementia and their caregivers using large-scale datasets like the English Longitudinal Study of Ageing (ELSA) and the IDEAL programme. Analysis of her 15 most recent publications (2019-2025) reveals consistent emphasis on underrepresented aging populations, including minority ethnic and LGBTQ+ groups, with methodological strengths in longitudinal analysis and mixed-methods approaches. Key trends include the social determinants of dementia care quality, environmental influences on wellbeing, and resilience factors in caregiving relationships. As a member of the British Society of Gerontology (BSG), Dr Rippon contributes to significant research initiatives including the current ESRC-funded lifecourse study and the IDEAL programme (Improving the experience of dementia and enhancing active life), which identified factors enabling people to live well with dementia. Her collaborative work extends across multidisciplinary teams analyzing complex interactions between social health, environmental factors, and mental wellbeing in aging populations.
Sara Fehr, PhD, CHES is an Instructional Associate Professor in the Department of Health and Kinesiology at Texas A&M University, where she has served since 2015 after joining as a Clinical Assistant Professor. Her work bridges academic instruction with community-based advocacy, focusing on critical public health issues affecting college populations and vulnerable communities through evidence-based prevention programming. Education PhD in Health Promotion and Education, University of Cincinnati (2015) with cognate in Women's Health and Human Sexuality MS in Health Education, Texas A&M University (2010) BS in Health-Community Health Option, Texas A&M University (2009) Research Focus Dr. Fehr's scholarship centers on sexual violence prevention, trauma-informed care, and sexual health promotion through multiple interconnected lenses. Her work examines how relationship dynamics, social networks, and institutional policies shape health behaviors, with particular emphasis on campus sexual assault prevention, condom use negotiation, and HPV vaccination acceptance. She employs mixed-methods approaches to develop practical interventions that address both individual and systemic barriers to health equity. Publication Trends Analysis of her 14 most recent publications (2014-2022) reveals three dominant research trajectories: 1) Campus sexual violence prevention through multi-institutional studies and digital narrative analysis; 2) Sexual health behaviors with focus on condom use resistance tactics and relationship factors; 3) Adolescent health interventions including HPV vaccination and substance abuse prevention. Her work consistently applies ecological frameworks while prioritizing actionable solutions for educational settings. Scientific Recognition Health Education Teacher of the Year, Texas A&M Department of Health and Kinesiology (2021) Health Education Teacher of the Year, Texas A&M Department of Health and Kinesiology (2016) Professional Engagement Dr. Fehr serves as Faculty Advisor for Future Aggie Nurses while holding dual certification as both Green Dot and STAND Up facilitator for campus sexual violence prevention. Her community advocacy extends to hospital-based sexual assault response through the Sexual Assault Resource Center (2016-2023), demonstrating integration of academic expertise with frontline crisis intervention. Though specific grant details aren't public, her leadership in nationally recognized prevention programs indicates successful acquisition of implementation and evaluation funding. Operational Frameworks She contributes to campus safety through Texas A&M's Sexual Assault Resource Center (SARC) as an Accompaniment Advocate and coordinates with university-wide initiatives including Fish Camp (2022 Namesake) and the Clinical Learning Resource Center as a Physical Exam Teaching Associate. Her work synthesizes public health research with practical community action through partnerships spanning university departments, healthcare systems, and state-level advocacy networks.
Sara Vera Marjanovic is a Research Fellow at the Department of Computer Science , University of Copenhagen, specializing in Machine Learning . Her work intersects computational linguistics and social science, focusing on language model reasoning, misinformation dynamics, and bias quantification. Primary Affiliation: Department of Computer Science, University of Copenhagen Research Section: Machine Learning Research Interests: Marjanovic's research explores critical aspects of AI systems including: Language model reasoning and knowledge conflict tracing Model instability impacts on explanations Misinformation spread analysis on social platforms Gender bias quantification in online discourse Human responses to public health disinformation Publication Trends: Her recent work (2024) analyzes internal knowledge conflicts in language models and model instability effects on uncertainty estimation. Earlier publications (2022) focus on Danish social media responses to pandemic misinformation and gender bias quantification in political discourse. Labs & Resources: She works within the SCIENCE AI Centre at University of Copenhagen, utilizing advanced computational resources including a powerful compute cluster and modern research labs.
