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Patrick BayerView profile

Professor

• Racial Inequality
• Segregation
• Housing Markets
• +4 more

Patrick Bayer is the Gilhuly Family Distinguished Professor of Economics at Duke University, affiliated with Trinity College of Arts & Sciences. He holds a Ph.D. from Stanford University (1999) and a B.A. in Mathematics from Princeton (1994). His research focuses on racial inequality, housing markets, criminal justice, and urban economics. Recent work includes examining jury representation biases, housing segregation, and the long-term effects of the Great Recession on homeownership. He has received awards such as the Economic Inquiry Best Article Award (2010) and serves as a Researcher at NBER since 2004. Education: Ph.D. in Economics, Stanford University, 1999 B.A. in Mathematics, Princeton University, 1994 Research Interests: His work addresses systemic racial disparities in housing, criminal justice outcomes, and educational opportunities. He explores how residential segregation perpetuates inequality and analyzes media framing of police violence. Grants & Funding: Includes NSF grants for dynamic model research and collaborations on privacy-assured computation infrastructure. Professional Roles: Former Chair of Duke’s Economics Department (2009–2015), Associate Chair (2020–present), and Faculty Research Scholar at the Duke Population Research Center.

• Development Economics
• Urban Studies
• Political Economy
• +3 more

Nicolas Büttner is a researcher within the Department of Development Economics at ETH Zürich. He is affiliated with the university's economics division and can be contacted at nicolas.buettner@nadel.ethz.ch . His work primarily focuses on the intersection of economic theory and applied machine learning, with a particular emphasis on global development challenges. Research Interests Development Economics: Analyzing structural change, inequality, and economic growth in low- and middle-income countries. Urban Studies: Using self-supervised learning to quantify urban change and housing dynamics through street-level imagery. Political Economy: Investigating how political instability and information dissemination shape households' decision-making processes. Global Cooperation: Examining attitudes toward international development initiatives using longitudinal Swiss Panel data. His publications from 2021–2025 reflect a trend towards interdisciplinary research, combining quantitative methods with qualitative socioeconomic analysis. Key themes include leveraging AI for urban development insights, understanding fertility transitions in Sub-Saharan Africa through structural economic shifts, and exploring information effects on global policy support. Recent work has emphasized South Africa and Burkina Faso as case studies for inequality and instability impacts. No scientific awards mentioned. In advising and grants: No listed doctoral/master students. Grant information is not explicitly provided in the text. His research appears to be institutionally supported through ETH Zürich's academic framework. Laboratory or team affiliations: No specific labs or collaborative teams are referenced in the available information.

Jessica ManView profile

Lecturer

• Zero-Knowledge Proofs
• Carbon Accounting
• Digital Identities
• +4 more

Jessica Man is a Lecturer in Computer Science at the University of Cambridge's Department of Computer Science and Technology (University of Cambridge). She holds roles as Teaching Assistant for Advanced Operating Systems (MPhil/Part III/Part II) and Supervisor for courses including Operating Systems (Part IA), Concepts in Programming Languages (Part IB), and Object-Oriented Programming (Part IA). Her research focuses on Zero-Knowledge Proofs, Carbon Accounting, Cybersecurity, and Decentralized Systems, with a particular emphasis on trustworthiness in digital systems and cybercrime analysis. Professionally, she serves as Chair of Women@CL (2023/24) and Co-chair of the Oxbridge Computer Science Conference (2022/23). Her recent work includes a Best Student Paper Award at the Symposium on Electronic Crime 2023 for research on privacy-preserving carbon emissions claims. She has published on topics ranging from cybersecurity in fitness data to autism discourse in cybercrime forums. Education: Ph.D. in Computer Science (implied by position) Affiliations: Member of the Department of Computer Science and Technology, Cambridge Her grants and advising activities are not explicitly detailed, but her leadership roles in academic initiatives suggest active involvement in collaborative projects. She is affiliated with the Cambridge Centre for Carbon Credits (4C) through her research interests in carbon accounting.

Praneeth Shalinda AdikariView profile

Lecturer

• Data Science
• Business Analytics
• Online Advertising
• +3 more

Dr. Praneeth Shalinda Adikari is a Lecturer (Educator Track) at the Department of Information Systems and Analytics, School of Computing, National University of Singapore (NUS). His expertise lies in data science and business analytics, with a focus on optimizing real-time bidding processes in online advertising and analyzing social network dynamics. Education: B.Sc. (Hons.) in Information Technology, University of Moratuwa, Sri Lanka (2009) Ph.D. in Information Systems and Analytics, National University of Singapore (2017), supported by NUS Research Scholarship Research Interests: Design of data-driven applications for digital advertising optimization Analysis of social network structures and information dissemination patterns Learning analytics and educational technology Machine learning applications in real-time decision systems Key Contributions: His work has advanced real-time bidding strategies in online advertising through dynamic pricing models, and he has explored cultural intelligence impacts in social networks. His research has been published in INFORMS Journal on Computing and presented at top conferences like ICIS and PACIS. Awards: Best Paper Award at WITS 2016 (Dublin) NUS Research Scholarship (2013) Research Achievement Award, School of Computing, NUS (2017) Teaching: He teaches advanced courses including BT4015 Geospatial Analytics, BT4103 Business Analytics Capstone Project, and IS4100 IT Project Management, emphasizing practical application of analytics in real-world scenarios.

Fábio DuarteView profile

Lecturer

• Urban Planning
• Urban Technology
• Smart Cities
• +3 more

Fábio Duarte is a Lecturer at MIT's Department of Urban Studies and Planning and Principal Research Scientist at the MIT Senseable City Lab . He also serves as Associate Director of the Center for Real Estate . With a PhD in Communication and Technology from Universidade de São Paulo, Brazil, Duarte previously held professorships at Pontifícia Universidade Católica do Paraná (PUCPR) and visiting roles at Yokohama University and Twente University. Education : PhD in Communication and Technology (Universidade de São Paulo); Urban Planning (PUCPR). Appointments : Lecturer (2025), Principal Research Scientist (2025), Associate Director (2025), World Bank consultant. Duarte's research focuses on urban technology, sociotechnical systems, and AI-driven urban analysis. His books include Urban Play: Make-believe, Technology, and Space (MIT Press, 2021) and Unplugging the City: The Urban Phenomenon and Its Sociotechnical Controversies (Routledge, 2018). Recent work examines mobility patterns, environmental sensing, and ethical AI in urban design. Publication Trends (2021–2025) : Duarte's 43+ articles span AI applications in urban safety, mobility equity, climate resilience, and sociotechnical controversies. Key themes include deep learning for emissions analysis, pedestrian behavior modeling, and data privacy trade-offs in smart cities. Collaborations : Regularly works with Senseable City Lab colleagues like Carlo Ratti. Recent co-authors include Titus Venverloo, Juliana Brown, and Siqi Zheng on studies about circular economy and real-time environmental monitoring.

Laura WallView profile

Lecturer

• Cognitive Psychology
• Computational Psychology
• Decision Making
• +3 more

Dr Laura Wall is a Lecturer (0.5 FTE) in Business Psychology and Research Associate (0.5 FTE) at the University of Newcastle's School of Psychological Sciences within the College of Engineering, Science and Environment. She holds a PhD from the University of Newcastle and has extensive experience spanning casual academic roles (2015-2019), post-doctoral research in Health Economics (2019-2021), and current dual roles since 2023. Education: Doctor of Philosophy, University of Newcastle Bachelor of Psychology, University of Newcastle Research Interests: Dr Wall's work focuses on cognitive and computational psychology, decision-making frameworks, and health economics. She employs advanced statistical techniques to improve measurement of cognitive processes and decision-making in clinical populations (e.g., schizophrenia). Her research also examines patient preferences in healthcare settings through discrete choice experiments, addressing topics such as cancer treatment decisions, end-of-life care, and telehealth delivery. Recent projects include studies on placebo surgery trials and pandemic response planning. Grants: Telehealth Research Initiative, Part A: Telehealth Evidence Synthesis Studies ($103,351, 2021-2022) Supervision: Currently co-supervising a PhD student exploring perceptual inference anomalies in schizophrenia. Affiliations: Active collaborations include studies on oncology patient preferences, surgical trial design, and mental health service delivery. She contributes to interdisciplinary teams addressing translational research from basic cognitive models to applied healthcare interventions.

• Financial History
• Economic History
• Communication Networks
• +8 more

Andrew M. Odlyzko is a Professor at the School of Mathematics, University of Minnesota, specializing in interdisciplinary research spanning financial history, economic theory, and communication networks. His work examines historical financial manias, railway development, and market dynamics with a focus on bubbles, fraud, and irrational investment behaviors. He has published extensively on topics such as the 1840s Railway Mania, the South Sea Bubble, and Victorian-era financial systems. Affiliations: University of Minnesota, School of Mathematics Research Focus: Technology manias, financial history, cryptography, computational number theory Odlyzko's research highlights recurring patterns in financial crises through historical analysis, blending economics, sociology, and information sciences. His papers often critique classical economic assumptions using data-driven historical evidence. He has contributed to debates on market inefficiencies, railway network planning, and the role of financial innovation. Key themes include the psychology of speculative bubbles and the long-term impacts of infrastructure investments.

• Wildlife Conservation
• Biodiversity
• Environmental Policy
• +3 more

Dr. Charles Emogor is a researcher affiliated with the Department of Computer Science and Technology at the University of Cambridge. His work focuses on wildlife conservation, biodiversity, and environmental policy, particularly addressing issues related to pangolin exploitation, wild meat hunting, and carbon footprint inequality. He contributes to interdisciplinary research bridging conservation biology, policy analysis, and sustainable development. His research interests include understanding drivers of wildlife trade, assessing the sustainability of interventions for pangolin conservation, and evaluating the socio-economic dimensions of biodiversity loss. He also investigates carbon footprint disparities across populations to inform equitable climate policies. Dr. Emogor’s publications highlight critical gaps in conservation strategies, emphasizing the need for localized solutions and rigorous sustainability assessments. His work often involves collaborations with stakeholders in Nigeria and other African regions to ensure community engagement in conservation efforts. He is associated with the Energy and Environment Group within the Department, focusing on interdisciplinary approaches to environmental challenges. His research underscores the intersection of technology, policy, and ecology to address global environmental crises.

Chen YingView profile

Associate Professor

• Forecasting
• Non-stationary Time Series Analysis
• High Frequency Data
• +15 more

Dr. Chen Ying is an Associate Professor in the Department of Mathematics at the National University of Singapore (NUS), with joint appointments in the Risk Management Institute, Department of Statistics and Applied Probability, and courtesy appointments in the Department of Economics. She serves as Academic Director of the Digital FinTech PhD program at the Asian Institute of Digital Finance and is a Faculty member in NUS Graduate School for Integrative Sciences and Engineering. Her research spans financial statistics, data science, and applied mathematics, focusing on non-stationary time series, high-frequency data, functional data analysis, and quantum computing applications in finance. Education: B.Sc. Economics (Renmin University of China, 1998), M.A. Economics and Management Science (Humboldt University, 2002), M.Sc. Statistics (Humboldt & Freie Universität Berlin, 2005), and Ph.D. in Statistics (Humboldt University, 2007, Summa Cum Laude). Research interests include AI forecasting, quantum computing for finance, non-stationary time series analysis, energy data analytics, and citation metrics. She has published extensively on topics like Bitcoin blockchain dynamics, natural gas demand modeling, and credit rating fairness. Dr. Chen serves on editorial boards of Statistica Sinica , Statistics and Its Interface , and Digital Finance , and holds leadership roles in the International Statistical Institute and International Association for Statistical Computing. Notable achievements include ISI Elected Membership (2016), Council Member of the International Statistical Institute (2023–2027), and roles in global initiatives like the EU FIN-TECH project. Her work bridges statistical theory with practical applications in finance, energy, and healthcare.

Carl SimonView profile

Professor

• Microeconomics
• Transitional Economies
• Epidemiology
• +6 more

Carl Simon is a Professor Emeritus of Mathematics, Economics, and Public Policy at the University of Michigan. He holds affiliations with the Center for Russian, East European, & Eurasian Studies (CREES), the Weiser Center for Europe and Eurasia (WCEE), and the International Institute. Simon earned his PhD in Mathematics from Northwestern University in 1970. His research focuses on dynamical systems applied to economic systems, public policy optimization, epidemiological modeling (including the spread of diseases like COVID-19), crime dynamics, and ecological systems such as Great Lakes salmon life histories. He has also contributed significantly to the study of health inequalities and complex systems. Simon’s work bridges multiple disciplines, including economics, public health, and environmental science. His educational background includes teaching calculus at the Ford School of Public Policy for nearly four decades. Notable awards include the LSA Distinguished Senior Lecturer (2007) and the U-M Distinguished Faculty Achievement Award (2012). Simon’s career includes roles as founding director of the U-M Center for the Study of Complex Systems and former director of the Science, Technology, and Public Policy program at the Ford School. His research emphasizes applying mathematical models to real-world challenges, such as vaccination strategies, crime prevention, and environmental policy. Key contributions include modeling the spread of infectious diseases (e.g., SARS-CoV-2 mutations) and analyzing social systems like smoking initiation and crime networks. His interdisciplinary approach has informed public health policies and academic frameworks for understanding complex societal issues.

Feng GuView profile

Professor

• Modeling and Simulation
• Complex Systems
• High Performance Computing
• +4 more

Feng Gu is a Professor of Computer Science at The College of Staten Island, CUNY, and a doctoral faculty member at The Graduate Center, CUNY. He holds a BS in Mechanical Engineering from China University of Mining and Technology, MS in Information Systems from Beijing Institute of Machinery, and MS/PhD in Computer Science from Georgia State University. His research focuses on Modeling and Simulation , Complex Systems , High Performance Computing , and Bioinformatics . Notable contributions include work on wildfire spread simulation, particle filters, and machine learning applications in healthcare and genomics. Recent grants include a $563,411 NSF grant for crime analysis and a $40,000 CUNY-IRG grant for obesity modeling. He has received awards such as the TMS/DEVS 2018 Best Paper Award and the 2018 Emerald Literati Award. His work bridges computational methods with real-world challenges in environmental science, cybersecurity, and social policy. Professional activities include serving as a reviewer for journals like IEEE Transactions and conferences like Winter Simulation Conference . He has organized sessions at events such as the International Conference on Cloud Computing and Big Data Analysis (ICCCBDA).

Murugan AnandarajanView profile

Professor

• Cybercrime
• Unstructured Data Analysis
• Strategic Management of Information Systems
• +5 more

Murugan Anandarajan is a Professor of Management Information Systems at Drexel University's LeBow College of Business, where he has served for over 20 years. He holds significant administrative roles including Vice Dean, Senior Associate Dean for Academic Programs and Faculty Affairs, and Academic Director for both the Center for Applied AI and Business Analytics and the Dornsife Office for Experiential Learning. Previously, he served as Department Head for Management (7 years) and Decision Sciences & MIS (5 years), overseeing 40+ faculty members. His research bridges technology and business strategy, focusing on: Cybercrime detection and prevention frameworks Advanced unstructured data analysis techniques Strategic implementation of information systems Text mining applications in business intelligence Impact of disruptive technologies on organizational workflows Anandarajan's publications demonstrate consistent focus on cybersecurity, data analytics, and information systems management, with recent specialization in healthcare IoT security, data quilting methodologies, and sustainable technology solutions. His work appears in premier journals including Decision Sciences and Journal of Management Information Systems. Major scientific recognitions include: Academy of Management Best Paper awards (2001 winner, 2008 runner-up) Multiple LeBow College Research Awards (2003, 2004) Horner Prize for Best Application Paper (1999) He has secured $2.4M+ in research funding from NSF, DOJ, NIJ, and industry partners like SAP America and Lockheed Martin for projects spanning cyber forensics, business intelligence curriculum development, and adaptive supply chain management. He oversees experiential learning initiatives connecting students with industry analytics projects.

• Business Strategy
• Statistical Analysis
• Big Data
• +4 more

Karol Klimczak is an Associate Professor at the Institute of Management within the Faculty of Organization and Management at Lodz University of Technology. He serves as Dean of the Faculty and specializes in statistical analysis of large datasets to examine business strategies and outcomes. His research spans business strategy, corporate finance, organizational change, and strategic management. His research interests include business strategy, statistical analysis, big data, corporate finance, corporate financial communication, organizational change, and strategic management. His work bridges theoretical insights with practical applications in corporate environments. Klimczak's publications focus on strategic responses to volatility, stakeholder communication, financial misconduct, and digital transformation. His research trends show strong emphasis on adaptive strategies in turbulent environments, data-driven decision making, and ethical governance. He has authored several books including 'Corporate Financial Communication in Poland' and 'Strategic Response to Turbulence', contributing significantly to the literature on organizational resilience and financial transparency.

Beth CateView profile

Associate Clinical Professor

• Cultural Policy and Arts Administration
• Governance and Public Law
• Nonprofit Management and Philanthropy
• +6 more

Beth Cate serves as Clinical Associate Professor at Indiana University's Paul H. O'Neill School of Public and Environmental Affairs, specializing in the intersection of law and public policy. She joined the faculty full-time in 2011 after 13 years as an adjunct instructor, leveraging 20 years of prior legal practice in public and private sectors. Her expertise spans intellectual property, data privacy, administrative law, compliance, and constitutional law. Education: J.D., Cum Laude, Harvard Law School (1991) B.A., Summa Cum Laude, Economics, George Washington University (1988) Professor Cate's research critically examines governance frameworks across cultural policy, arts administration, nonprofit management, and constitutional rights. Her work uniquely bridges data regulation with religious liberty in public institutions, analyzing Supreme Court privacy jurisprudence through lenses of digital civil liberties and historical constitutional interpretation. Current projects address student records privacy in the algorithmic age and systemic justice reform. Her publication trajectory reveals deepening engagement with digital constitutionalism—from early cybersecurity law analysis to contemporary Supreme Court privacy scholarship—while maintaining consistent focus on religious freedom and data governance intersections. Recent works demonstrate methodological evolution toward interdisciplinary policy analysis combining legal doctrine with empirical justice system assessments. Scientific Awards: Trustees Teaching Award (2013) Trustees Teaching Award (2014) Professor Cate coordinates the undergraduate Law and Public Policy major while leading the core law curriculum, developing courses like Smartphones, Drones, and Unknowns: Information Law and Policy . Her professional service includes NEH-funded instruction on text data mining legalities and editorial roles with Harvard law journals. External collaborations include Oxford University workshops on intellectual property and National Association of College and University Attorneys conference presentations.

Ryan DronekView profile

Assistant Professor

• Criminology
• Online Predatory Behavior
• Criminal Justice
• +3 more

Ryan Dronek is an Assistant Professor at Marian University, located in Fond du Lac, Wisconsin. His work focuses on criminological research, particularly in the realm of online predatory behavior and criminal justice. While specific department or school affiliations are not explicitly stated, his research engages with interdisciplinary topics at the intersection of technology and human behavior. Research Interests: Ryan's research examines themes such as online grooming behavior, digital crime prevention, and forensic analysis of criminal activities. His 2023 publication highlights a thematic analysis of predatory tactics used by male offenders in digital spaces. Publications: His recent work emphasizes trends in cybercrime and offender behavior, contributing to fields like forensic psychology and legal studies. Awards: No scientific awards or fellowships are listed in the provided information. Advising/Grants: No advising roles or grant information is available in the current data. His professional activities are primarily centered on academic research and teaching.