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Chris AdrianView profile

Senior Lecturer

• Corporate Governance
• Financial Accounting
• Auditing
• +3 more

Chris Adrian is a Senior Lecturer in the Department of Accounting at Monash University, specializing in corporate governance, financial accounting, and auditing. His research explores intersections between environmental factors (e.g., climate change, natural disasters) and corporate financial practices, alongside political influences on capital markets. Prior to Monash (since 2017), he held a Lecturer position at Macquarie University. Chris earned his PhD in 2015, focusing on corporate governance stakeholder perceptions. His work has been published in journals like Journal of Business Ethics and International Journal of Auditing , with recent studies examining audit fee dynamics during natural disasters, political connections in audit committees, and pandemic resilience through sustainability disclosures. Education: PhD (2015) Professional Affiliations: American Accounting Association (AAA), European Accounting Association (EAA), Accounting and Finance Association of Australia and New Zealand (AFAANZ) His research projects include applying large language models to sustainability reporting standards and analyzing charity performance during climate disasters. He is currently accepting PhD students and serves as an ad-hoc reviewer for multiple accounting journals. Key themes in his articles include audit risk mitigation during political shifts, disaster-driven corporate tax behaviors, and pandemic impacts on firm valuation. His work consistently bridges financial reporting practices with broader socio-environmental challenges.

Frank CowellView profile

Professor

• Inequality
• Poverty
• Income Distribution
• +5 more

Frank Cowell is a Professor of Economics at the London School of Economics (LSE), where he serves as a CASE (Centre for Analysis of Social Exclusion) and STICERD (Suntory and Toyota International Centres for Economics and Related Disciplines) Associate. His academic work spans several decades with publications dating from the early 1990s through to 2018, demonstrating sustained scholarly contribution to the field of economics. Professor Cowell's research primarily focuses on inequality and poverty measurement, income and wealth distribution, taxation, and social mobility. His work combines theoretical economic analysis with empirical applications across different countries and contexts. His research interests include methodological approaches to measuring inequality, particularly addressing challenges related to top incomes and wealth concentration, as well as examining the relationship between social identity and redistributive preferences. His publication record reveals consistent engagement with methodological issues in inequality measurement, with numerous papers addressing statistical robustness, decomposition techniques, and comparisons of income and wealth distributions across countries. His more recent work has increasingly focused on wealth distribution, inheritance, and intergenerational mobility, reflecting evolving scholarly interest in these areas. He has collaborated extensively with researchers across Europe, particularly on cross-national comparative studies using datasets like the Luxembourg Wealth Study. Professor Cowell has made significant contributions to the theoretical foundations of inequality measurement, developing alternative approaches that address limitations in conventional indices. His work on median-normalized inequality measures represents an important methodological innovation aimed at better capturing changes at the top of the income distribution. Throughout his career, Cowell has examined the relationship between economic theory and empirical measurement, often bridging gaps between abstract welfare economics and practical policy applications. His research has implications for tax policy design, social welfare programs, and understanding the dynamics of economic inequality across different populations and time periods. As a CASE and STICERD Associate, Professor Cowell contributes to LSE's research environment focused on social exclusion, inequality, and public policy analysis. His work has been published in numerous discussion papers, journal articles, and book chapters, establishing him as a significant contributor to the field of distributional economics.

• Mathematical Statistics
• Applied Statistics
• Probability Theory
• +6 more

Holger Dette is a Professor and Chair Holder of Stochastics (specializing in Statistics) at the Faculty of Mathematics, Ruhr University Bochum. He leads the prominent Group Dette within the Institute of Statistics, overseeing a team of researchers, doctoral students, and administrative staff including Birgit Tormöhlen as team assistant. His research group is deeply integrated within the university's mathematical ecosystem, collaborating with other research groups across algebra, analysis, numerics, and topology. Dette's research spans mathematical statistics with strong applications in real-world problems. His primary interests include optimal experimental design, time series analysis, functional data, change point problems, nonparametric regression, biostatistics, special functions, goodness-of-fit tests, and random matrices . His work bridges theoretical statistics with practical applications, particularly evident in his collaborations with pharmaceutical giants Novartis and Bayer AG in biostatistics, as well as Quasol, a spin-off company from his statistics institute. His recent publications (2024-2025) reveal a research program increasingly focused on high-dimensional and functional data analysis, privacy-preserving statistics, and novel methodological approaches to longstanding statistical problems. Dette's work shows strong interdisciplinary connections, particularly with biomechanics (analyzing joint angles during fatigue phases) and data science (addressing challenges in the era of big data). His research group is actively involved in multiple DFG-funded projects including the newly established 'Small Data' collaborative research center (Sonderforschungsbereich 1597) and the Spatio-temporal Statistics for the Transition of Energy and Transport (Transregio 391). Dette has received significant recognition including the prestigious Humboldt Research Award . His paper 'With Great Power Come Great Side Channels: Statistical Timing Side-Channel Analyses with Bounded Type-1 Errors' achieved second place at the CSAW'24 Applied Research Competition MENA. His research group has also secured multiple significant funding awards from the German Research Foundation (DFG). As an advisor, Dette supervises numerous doctoral and master's students including Pascal Quanz, Marius Kroll, and Carina Graw. His group offers statistical consulting services for scientists and students across bachelor's, master's, and doctoral phases. The group maintains strong industrial partnerships, particularly in biostatistics applications, demonstrating Dette's commitment to translating theoretical statistics into practical solutions for real-world challenges.

Ana De La O TorresView profile

Associate Professor

• Political Economy
• Poverty Alleviation
• Clientelism
• +4 more

Ana De La O Torres is an Associate Professor of Political Science at Yale University, affiliated with the MacMillan Center for International and Area Studies, the Institution of Social and Policy Studies, and the Jackson Institute for Global Affairs. Her research focuses on the political economy of poverty alleviation, clientelism, and public goods provision in Latin America. She earned her PhD in Political Science from MIT in 2007. Her work combines experimental and comparative approaches to study how anti-poverty programs, electoral dynamics, and bureaucratic accountability shape political outcomes. Notable contributions include analyzing conditional cash transfer programs, corruption information effects on voter behavior, and the impact of audits on public service delivery. Her research trends emphasize experimental methodologies in governance contexts, with recent focus on clientelism's impact on state capacity and anti-corruption strategies in Mexico. She teaches courses on political economy frameworks, quantitative methods, and Latin American political systems. Ana is actively engaged in interdisciplinary collaborations, contributing to policy discussions on equitable development strategies. Her affiliations bridge multiple academic units at Yale to advance global policy research.

Paul Moritz WiegmannView profile

Assistant Professor

• Standardization
• Innovation Ecosystems
• Sustainable Development
• +3 more

Paul Moritz Wiegmann is an Assistant Professor in the Department of Industrial Engineering and Innovation Sciences at Eindhoven University of Technology (TU/e), where he is part of the ITEM group. He currently serves as President of the European Academy of Standardisation (EURAS). His academic career includes visiting research positions at TU Berlin (2014 & 2015), Yonsei University, Seoul (2018), and the University of California, Davis (2023). Paul holds a PhD from Rotterdam School of Management, Erasmus University, alongside additional degrees from Erasmus University and the University of Warwick. His educational background emphasizes interdisciplinary training, reflected in his research and teaching. His research focuses on the role of standardization in innovation ecosystems, particularly how explicit and implicit rules enable value creation and capture. He employs mixed-methods approaches, including case studies, grounded theory, choice experiments, and conjoint analysis. His work aligns with UN Sustainable Development Goals, addressing societal challenges like sustainability and smart technologies through collaborative frameworks. Notable awards include the Industria Education Award 2022-2023 for Best Teacher Talent (2023) and the ISPIM Dissertation Award 2020 (2020). These recognize his contributions to both education and research in standardization and innovation. In advising and grants, Paul has supervised 30 works (names not listed) and leads the Measuring societal impact of standards project (2021–2022). He also coordinates the FIQCS: FIeldlab Quantum Cryptography Solutions for Safe Society initiative (2023–2028). His activities include organizing conferences like EU-SPRI 2025 and delivering invited talks on topics ranging from standardization governance to quantum technologies. Paul teaches courses such as Methodology for IE research and Patents design rights & standards exploration course , reflecting his expertise in standardization and research methods. He contributed to the Standardization literature database (2024), an interdisciplinary review, and engages in media discussions on topics like AI adoption in SMEs and quantum threat mitigation in public safety.

Olenka KacperczykView profile

Professor

• Entrepreneurship
• Innovation
• Social Responsibility
• +5 more

Olenka Kacperczyk is a Professor of Strategy and Entrepreneurship at London Business School. She earned her PhD from the Ross School of Business at the University of Michigan and previously held a faculty position at MIT's Sloan School of Management. PhD - Ross School of Business, University of Michigan BA - Mount Holyoke College Her research focuses on entrepreneurship, particularly examining inequality in startup ecosystems, labor market dynamics, and institutional impacts on innovation. Key themes include gender disparities in entrepreneurial funding, the role of institutional protections for minority employees, and the paradoxical effects of corporate social responsibility on firm value. Recent publications highlight her work on gender homophily in venture hiring, wage dispersion mechanisms, and the racial entrepreneurship gap. Her articles span journals like Strategic Management Journal , Organization Science , and Administrative Science Quarterly . Kauffman Junior Faculty Scholarship for Entrepreneurship Research William F. Glueck Award at the Academy of Management Olenka serves as Associate Editor for Management Science , Organization Science , and Administrative Science Quarterly . She has also held editorial roles at Strategic Management Journal and Management Science . Her teaching portfolio includes entrepreneurship strategy and strategic management courses.

Jeremy DouthitView profile

Associate Professor

• Management Accounting
• Budgeting
• Control Systems
• +4 more

Jeremy Douthit is an Associate Professor of Accounting at the Eller College of Management, University of Arizona, where he joined in 2014. He holds a PhD in Accounting from Florida State University (2014), an MAcc from The Ohio State University, and a BA from Troy University. His research centers on Management Accounting with emphasis on Budgeting, Control Systems, Behavioral Economics, and Corporate Social Responsibility. He investigates how social norms, firm CSR initiatives, and control system designs influence managerial decision-making processes and employee behavioral outcomes through experimental methodologies. Dr. Douthit's publication trend (2012-2024) reveals consistent contributions to top accounting journals including The Accounting Review and Journal of Management Accounting Research. His work demonstrates a progression from foundational agency theory investigations toward contemporary explorations of CSR's internal organizational impacts, with recurring themes of honesty in reporting, control system design, and behavioral responses to incentives. Scientific awards: Eller Fellow While no formal advisees are listed in the provided materials, his active research agenda suggests ongoing mentorship activities. His working papers on relative performance incentives and team uncertainty indicate current grant-supported projects, though specific funding sources aren't detailed in the source text. Dr. Douthit maintains affiliations with the Dhaliwal-Reidy School of Accountancy and the Center for Trust Studies, reflecting his integration into specialized research communities focused on accounting ethics and organizational trust dynamics.

Ben Van LanduytView profile

Associate Professor

• Auditing
• Experimental Economics
• Financial Reporting
• +3 more

Ben Van Landuyt is an Associate Professor of Accounting at the Dhaliwal-Reidy School of Accountancy within the Eller College of Management at the University of Arizona. He joined the college in 2017 after earning his PhD from the University of Texas at Austin and previously worked as an auditor for PricewaterhouseCoopers in Dallas, Texas. Education: PhD in Accounting, University of Texas at Austin, 2017 Master of Accountancy, University of Mississippi, 2010 Bachelor of Accountancy, University of Mississippi, 2009 His research focuses on auditing, financial reporting, and experimental economics, investigating determinants of financial reporting outcomes, strategic interactions between stakeholders, and implications of uncertainty in accounting settings. He employs experimental methods to analyze auditor and investor behavior in complex financial scenarios. His publications in premier journals explore how accounting standard uncertainty affects reporting quality, auditor-client negotiations regarding prosocial activities, and investor reactions to ESG initiatives. These works consistently bridge traditional accounting research with behavioral and experimental approaches, revealing nuanced interactions between human judgment and financial systems. Scientific Awards: Dhaliwal-Reidy School of Accountancy Graduate Programs Most Valuable Faculty Award (Tenure Track) - 2018, 2022 AAA Accounting, Behavior and Organizations Section 2017 Outstanding Emerging Scholar Award Professor Van Landuyt teaches ACCT 525: Accounting Theory and ACCT 531: Principles of Auditing. While his working papers indicate active research in fair value estimation and ESG commitment, no grant funding details or student advising information is publicly documented in the provided materials.

Dennis FehrenbacherView profile

Associate Professor

• Information Systems
• Management Accounting
• Digital Technologies
• +12 more

Dennis Fehrenbacher is an Associate Professor in the Department of Accounting at Monash Business School, Monash University. He is actively engaged in research and teaching at the intersection of information systems and management accounting, with a strong focus on digital technologies and their organizational impact. Monash Business School, Monash University Department of Accounting Chair, Monash Business School Behavioral Laboratory Organizer, Experimental Research Cluster Associate Editor, Decision Support Systems Editorial Board Member, Behavioral Research in Accounting His research interests center on information system success, performance measurement, analytics, and the behavioral aspects of accounting. He employs empirical methods such as experiments, surveys, and archival analysis, often integrating emerging technologies like eye tracking and big data analytics to study cognitive biases in performance evaluation and decision-making. Dennis has developed innovative teaching methods, including workshops on Social Media Analytics using Python and MongoDB, and machine learning for business decisions. His recent research outputs span topics such as professional scepticism, multitasking, accountability in capital budgeting, and causal inference in judgment using balanced scorecards. These works reflect a consistent trend toward understanding human behavior in accounting systems through technological and experimental lenses. He has received recognition for his work, including: Best Paper Award - Management Accounting Stream (2020) Dennis has served as a reviewer for top journals like Journal of Management Information Systems and Accounting, Organizations and Society , and has been invited to speak internationally. He has led two major research projects funded by CIMA and AFAANZ, focusing on performance evaluation and information processing. His work contributes to the UN Sustainable Development Goals, particularly those related to quality education and decent work. He leads the Monash Business School Behavioral Laboratory, supporting experimental research in accounting and management. The lab facilitates advanced research using tools like eye tracking and data analytics, fostering a collaborative environment for empirical inquiry.

Rayid GhaniView profile

Professor

• Machine Learning
• Artificial Intelligence
• Data Science
• +5 more

Rayid Ghani is a Professor at Carnegie Mellon University (CMU), affiliated with both the Machine Learning Department (School of Computer Science) and the Heinz College of Information Systems and Public Policy. He co-leads CMU’s Responsible AI Initiative and leads the Data Science and Public Policy Group and the Data Science for Social Good Program. His work focuses on applying machine learning, AI, and data science to address social and policy challenges in health, criminal justice, education, public safety, workforce development, and sustainability, with an emphasis on fairness, equity, and transparency in AI systems. Education: PhD in Software Engineering PhD in Societal Computing Rayid’s research spans three pillars: (1) building AI systems for human collaboration to improve decision-making, (2) embedding fairness and equity in AI design, and (3) ensuring reliability and resilience of AI systems in dynamic environments. He emphasizes application-grounded experimental design and stakeholder engagement. His recent publications include frameworks for fair ML experimentation, analyses of fairness-accuracy trade-offs, and AI applications in child welfare, public health, and housing policy. He has also contributed to policy discussions, including congressional testimonies on responsible AI procurement. Advising & Grants: Rayid collaborates with governments, NGOs, and academic institutions on projects like eviction prevention, HIV care retention, and bias mitigation in public policy. He advises non-profits and startups on data science strategy and ethics. Labs & Teams: He leads the Data Science and Public Policy Group and the Data Science for Social Good Program at CMU, fostering interdisciplinary collaborations between computer scientists, social scientists, and policymakers.

Ana Lorena De La O TorresView profile

Associate Professor

• Political Economy
• Poverty Alleviation
• Clientelism
• +4 more

Ana Lorena De La O Torres serves as Associate Professor of Political Science at Yale University with cross-institutional affiliations at the MacMillan Center for International and Area Studies, the Institution of Social and Policy Studies, and the Jackson Institute for Global Affairs. Her scholarly work centers on the political economy of poverty alleviation, clientelism, and public goods provision in Latin America, leveraging rigorous field experiments primarily in Mexican municipalities to generate causal evidence for policy design. She completed her PhD in Political Science at the Massachusetts Institute of Technology in 2007, establishing foundational expertise in experimental methodologies applied to development contexts. Her academic trajectory reflects deep engagement with Latin American political institutions and poverty reduction strategies. Professor De La O Torres' research program systematically examines how political institutions mediate anti-poverty interventions, with particular attention to conditional cash transfer programs, corruption dynamics, and electoral consequences of social policy. Her experimental approach bridges political science and economics to analyze state-society interactions in developing democracies, emphasizing measurable impacts on bureaucratic behavior and citizen welfare. Analysis of her 2021-2025 publications reveals persistent methodological innovation in evaluating governance mechanisms, including novel audit designs and inequality assessments. Key thematic threads include the corrosive effects of clientelism on state capacity, the complex relationship between corruption information and civic engagement, and infrastructure compliance challenges in multi-level governance systems. She actively contributes to Yale's research ecosystem through the Leitner Program in International and Comparative Political Economy and the Yale Research Initiative on Innovation and Scale (Y-RISE), which focuses on translating pilot-scale interventions into effective large-scale policies. Her institutional partnerships facilitate interdisciplinary collaboration on global poverty and governance challenges.

• British Political History
• Political Ideology
• Quantitative Methods in Political Science
• +4 more

Professor Gidon Cohen is a distinguished academic in the School of Government and International Affairs at Durham University, where he holds the position of Professor of Politics and serves as Director of the Centre for Institutions and Political Behaviour. His extensive career spans multiple UK institutions including the Universities of Manchester, Salford, and Northumbria prior to joining Durham in 2005. Education: DPhil in Political Philosophy (University of York) MA in Political Philosophy (University of York) Undergraduate degree in Politics, Philosophy and Economics (St. Hugh's College, Oxford) Cohen's research bridges historical and contemporary political analysis with particular expertise in British political development. His methodological approach combines qualitative and quantitative techniques to examine political ideology, party organization, and electoral behavior across centuries. Current projects include the ESRC/AHRC-funded study 'Causes and Consequences of Electoral Violence: Evidence from England and Wales, 1832-1914' which demonstrates his unique ability to connect historical patterns with modern political phenomena. His recent publications reveal a clear evolution from historical studies of British communism and labor movements toward contemporary analyses of electoral violence, climate policy polarization, and methodological innovations in political science. This trajectory shows his commitment to applying historical insights to pressing modern political challenges while maintaining rigorous quantitative standards. Cohen actively supervises doctoral research with six recorded PhD students to completion and current supervision, reflecting his ongoing commitment to academic mentorship. His leadership of the Centre for Institutions and Political Behaviour positions him at the forefront of institutional political analysis in the UK.

• Alternative assets
• FinTech
• Empirical asset pricing
• +4 more

John C. Adams is an Associate Professor of Finance at The University of Texas at Arlington (UTA), where he has held faculty positions since 2007. His academic journey includes a PhD in Finance from Texas Tech University (2005), an MBA from West Texas A&M (2001), and a BA in Industrial Engineering from Texas A&M (1985). He has taught courses on investments, business finance, and advanced research methods at both undergraduate and doctoral levels. Education: PhD, Business Administration - Finance, Texas Tech University (2005) MBA, Economics and Finance, West Texas A&M University (2001) BA, Industrial Engineering, Texas A&M University (1985) Adams' research focuses on alternative assets, FinTech innovation, empirical asset pricing, and investor behavior. His work has been published in top journals such as the Journal of Banking and Finance and Review of Financial Studies , and covered by outlets like the Wall Street Journal . Notable contributions include studies on mutual fund governance, securities lending returns, and the impact of board diversity. His research has received recognition through awards like the Distinguished Research Publication Award (2018) and the Best Paper Award from the Financial Management Journal (2019). He actively contributes to professional organizations such as the Financial Management Association and the American Finance Association. Adams has advised numerous students on research projects, including studies on mutual fund board diversity and securities lending. He has also served on grant committees and held leadership roles, including Vice President of the Southwestern Finance Association.

Hazel BatemanView profile

Professor

• Pension Economics
• Behavioral Finance
• Lifecycle Finance
• +7 more

Professor Hazel Bateman is a Professor and Deputy Dean in the School of Risk and Actuarial Studies at UNSW Sydney’s Business School. She also serves as Deputy Director of the ARC Centre of Excellence in Population Ageing Research (CEPAR). Her research focuses on pension economics, behavioral retirement finance, and lifecycle financial decisions, particularly exploring how choice architecture, financial literacy, and information influence retirement planning, superannuation, and housing wealth utilization. Roles: Deputy Dean (Business School), CEPAR Deputy Director, Professor of Risk & Actuarial Studies Research Themes: Pension systems, long-term care insurance demand, reverse mortgages, behavioral economics in retirement finance Her work addresses critical issues such as the role of housing wealth in retirement portfolios, intergenerational wealth transfer dynamics, and the impact of financial advice on consumer decisions. She has contributed to policy debates on retirement income strategies and public reverse mortgage schemes in Australia. Key Trends in Publications: Recent studies emphasize behavioral factors in financial decision-making, the intersection of health and retirement finance, and policy design for aging populations. Her research often combines experimental methodologies with longitudinal data to assess consumer preferences and systemic impacts. Grants & Collaborations: Involved in CEPAR’s multidisciplinary projects, though specific grant details are not listed here. Research partnerships include analyses of aging demographics in China and Australia. Labs/Teams: Leads research initiatives within the School of Risk and Actuarial Studies and collaborates with CEPAR teams on population aging challenges.

Patryk PerkowskiView profile

Assistant Professor

• Information Technology
• Human Resource Management
• Causal Inference
• +3 more

Patryk Perkowski is an Assistant Professor of Strategy and Entrepreneurship at the Sy Syms School of Business, Yeshiva University. He holds a PhD from Columbia Business School and completed a postdoctoral fellowship in Business, AI, and Democracy at Columbia. His research focuses on the intersection of information technology, human resource management, and causal inference, examining how technological advancements like AI reshape talent competition and organizational strategies. He also develops methodological tools for empirical business research. Education: PhD and Postdoctoral Scholar at Columbia Business School. Research interests include AI's impact on workplaces, internal talent markets, labor discrimination trends, and algorithmic hiring. He publishes in top journals such as the Strategic Management Journal and Management Science. His work analyzes modern workforce dynamics, including automation effects, team coordination, and central banking AI applications. Notable studies address gender representation in hiring algorithms and long-term discrimination trajectories through meta-analyses. Advising: No advisee list provided. Grants and funding details not specified. His research bridges theory and practice, offering insights for firms to leverage human capital strategically in tech-driven environments.