جستجوی استاد راهنمای دانشگاهی

Anita Atwell Seateمشاهده پروفایل

دانشیار

• Crisis & Risk Communication
• Intercultural Communication
• Media Studies
• +۱ مورد دیگر

Dr. Anita Atwell Seate is an Associate Professor in the Department of Communication at the University of Maryland, part of the Arts, Humanities & Social Sciences (ARHU) school. She holds a Ph.D. from the University of Arizona and specializes in intergroup communication and public relations, focusing on how social identities influence communication processes and behavioral outcomes. Her research explores identity-based factors like emotions and social identity importance, particularly in contexts involving race, ethnicity, age, gender, and sexual orientation. Dr. Seate leads a NOAA-funded VORTEX-SE Program grant, collaborating with the National Weather Service to develop risk communication toolkits validated through public experiments. Her work bridges social science and critical theory, including a monograph on intergroup threat construction through discourse. Key projects include analyzing tornado warning decision-making factors and developing social norms messages to enhance disaster preparedness. Her research employs a mix of experimental design, content analysis, and ethnography. Notable contributions include studies on humorous vs. non-humorous weather messages and citizen scientist roles in government forecasting. She emphasizes practical applications of communication strategies to improve public safety and organizational relationships.

Anders Levermannمشاهده پروفایل

استاد

• Climate Science
• Ice-Ocean Dynamics
• Sea Level Rise
• +۴ مورد دیگر

Anders Levermann is a Professor of Dynamics of the Climate System and Head of the Research Department Complexity Science at the Potsdam Institute for Climate Impact Research (PIK). He also holds a Professorship at the Physics Institute of the University of Potsdam. His work integrates climate dynamics, cryosphere processes, and socioeconomic impacts of climate change. Levermann specializes in ice sheet stability, sea level rise projections, and the economic implications of climate policy. His research focuses on understanding tipping points in Earth's climate system, particularly regarding Antarctic and Greenland ice sheets. He develops models linking physical climate processes with economic systems to assess climate change impacts and policy effectiveness. Notable contributions include demonstrating the irreversible nature of sea level rise from ice sheet collapse and quantifying economic costs of delayed climate action. Levermann's publications (2016-2024) emphasize interdisciplinary analysis of climate extremes, economic vulnerability to temperature variability, and the cost-benefit frameworks for climate agreements. His work frequently appears in Nature , Science Advances , and Proceedings of the National Academy of Sciences . He actively engages with policymakers through media contributions (e.g., The Guardian , Spiegel ) and international reports, advocating for urgent climate action based on Earth system science insights. Levermann's research teams collaborate across PIK's FutureLabs and Complex Networks units to address planetary boundaries and tipping elements.

Christian Ottoمشاهده پروفایل

پژوهشگر

• Climate Change Economics
• Extreme Weather Event Impacts
• Supply Chain Dynamics
• +۳ مورد دیگر

Christian Otto is a leading researcher at the Potsdam Institute for Climate Impact Research (PIK), serving as Deputy Chair of Research Department III 'Transformation Pathways' and Head of the 'Event-based modeling of economic impacts of climate change' working group. His work focuses on the socioeconomic impacts of extreme weather events, systemic risks in global supply chains, and the development of dynamic models like Acclimate to assess climate-related economic losses. Education: PhD in Physics (summa cum laude) from TU Berlin (2013), with postdoctoral research at PIK and visiting roles at Columbia University and Université Libre de Bruxelles. Research Interests: Economic impacts of extreme events, systemic risk propagation, climate policy, and global supply chain dynamics. He has co-developed the Acclimate model and contributed to the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP). Key Achievements: Springer Theses Award (2013), leadership in projects like SLICE and C2P2, and over 50 peer-reviewed publications in journals like Nature Sustainability and The Lancet Planetary Health. His work bridges climate science with economics to address transformative risks and policy solutions. Advising & Grants: Supervises doctoral researchers and leads major interdisciplinary projects funded by BMBF, EU H2020, and DARPA. Collaborates on global initiatives like the Polycrisis Research Roadmap. Labs/Teams: Directs the Event-based Modeling group at PIK and coordinates the ISIMIP energy sector analysis.

Raffaele Vardavasمشاهده پروفایل

استاد

• Infectious Diseases
• Modeling and Simulation
• Health Behaviors
• +۱۶ مورد دیگر

Raffaele Vardavas is a Professor of Policy Analysis at the RAND School of Public Policy and a senior-level mathematician at the RAND Corporation. His work integrates advanced mathematical modeling with public health policy, focusing on infectious disease transmission, socioeconomic systems, and behavioral dynamics. Institution: RAND Corporation School: RAND School of Public Policy Academic Rank: Professor Email: Raffaele_Vardavas@rand.org He holds a Ph.D. and M.Sci. in Physics from Imperial College London and completed postdoctoral training in applied mathematics at UCLA. His research bridges epidemiology, economics, and computational modeling to inform real-world policy decisions. Vardavas specializes in agent-based and population-level models for infectious diseases, with a focus on behavioral adaptation, social networks, and policy evaluation. His work spans influenza, HIV, antimicrobial resistance, and the socioeconomic impacts of pandemics like COVID-19. He has led numerous federally funded projects under NSF and NIH grants and contributed to WHO advisory efforts on integrated epidemiological-economic models. The recent articles reflect a strong trend toward policy-relevant simulation modeling, particularly in pandemic response, health care financing, workforce dynamics, and climate-health interactions. His methodologies emphasize robustness, behavioral realism, and decision support under uncertainty. Scientific Awards and Recognition: Principal Investigator on NSF and NIH (R21, R01) grants Member of WHO Technical Advisory Group on integrated models for COVID-19 Reviewer for NIAID influenza and COVID-19 grant panels Vardavas has led major research initiatives involving grant-funded projects, policy tools (e.g., the COVID-19 Decision Support Tool), and stakeholder-engaged modeling. His work has informed federal and state-level health policies, particularly in pandemic preparedness, insurance reform, and workforce planning. He is affiliated with interdisciplinary teams at RAND that combine behavioral science, economics, and systems modeling. He is actively engaged in developing synthetic data methods, microsimulation models (e.g., LHIEM, COMPARE), and AI-driven approaches to public policy challenges. His lab-like environment at RAND supports large-scale computational modeling and cross-sector collaboration.

• Development Finance
• Public Policies
• Household Decision-Making
• +۳ مورد دیگر

Catherine Guirkinger is a Researcher at the University of Namur , affiliated with the Centre of Research in the Economics of Development and the Plateforme methodologique pour les sciences humaines et sociales. Her work focuses on development finance , gender inequality , household decision-making , and risk management in Sub-Saharan Africa and Central Asia. Education: Doctor of Economics, University of California Davis (2006) Research interests include: Long-term impacts of colonial policies on education and population well-being in the Democratic Republic of the Congo Gender dynamics in polygamous households and mobile money adoption Role of norms in economic behavior and intergenerational identity transmission Food security and storage imperfections in the Philippines Economic resilience under adverse policies in Kyrgyzstan Recent publications highlight trends in: 2025: Colonial education legacy in DR Congo, artisanal mining's impact on primary education 2024: Polygamy and cooperation in Benin, female agency in Philippines 2023-2020: Institutional persistence, food security, remarriage patterns in Burkina Faso She supervises projects on topics like: Intra-household decision-making and mobile money Intergenerational identity transmission in Africa Development economics and normative frameworks Identities, norms, and economic behavior

Esra Karpuzمشاهده پروفایل

مدرس

• Financial Markets
• Economic Growth
• Corporate Governance
• +۷ مورد دیگر

Esra Karpuz is a Lecturer in the Department of Banking and Finance at the Faculty of Applied Sciences, Dokuz Eylül University. She holds a PhD in Finance from Anadolu University (2024), preceded by a Master's in Finance (2021) and a Bachelor's in Business Administration (2017), both from Anadolu University. She has been a Research Assistant at Kütahya Dumlupınar University since 2020. Her research focuses on financial markets, political risk analysis, macroeconomic indicators, cryptocurrency, and sustainable development in emerging economies. Her work explores the impact of political events (elections, natural disasters) on financial systems, the relationship between financial development and human development, and pandemic effects on stock markets. She has published extensively in peer-reviewed journals including Journal of Management, Economics, Literature, Islamic and Political Sciences and Niğde Ömer Halisdemir University Journal of Social Sciences Institute . Karpuz has presented research at prominent conferences like the 25th Finance Symposium (2022) and authored/co-authored books on topics ranging from cryptocurrency to corporate social responsibility. Her current research emphasizes asymmetric volatility structures in international markets and crisis impact modeling.

• Agricultural Economics
• Farm Productivity Analysis
• Socio-Economic Challenges in Agriculture
• +۳ مورد دیگر

Assoc. Prof. Dr. Belde AKA KİYAĞA is an academic affiliated with Kaduna State University's Faculty of Arts and Sciences. Her research focuses on agricultural economics, particularly analyzing productivity determinants and socio-economic challenges faced by smallholder farmers in Nigeria. She has conducted extensive studies on soybean, rice, sorghum, and vegetable production systems, emphasizing issues like farm profitability, poverty measurement among women farmers, and climate change adaptation strategies. Education: Kaduna State University, Nigeria (specific degree details not provided) Her work emphasizes quantitative methods like the Auto-Regressive Distributed Lag (ARDL) model and Vector Error Correction Model (VECM) to analyze agricultural competitiveness and policy impacts. Recent studies include analyzing net farm income constraints, welfare status determinants, and the socio-economic dynamics of crop production systems in Northwest Nigeria. Awards: No scientific awards mentioned in the provided texts. Grants & Advising: No specific grants or student advising roles explicitly detailed in the texts. Her collaborative work includes multidisciplinary studies with institutions like Mustafa Kemal University and Selcuk University.

• Actuarial Science
• Mortality Modeling
• Life Insurance
• +۳ مورد دیگر

Prof. Torsten Kleinow is a Professor in the Quantitative Economics Department at the University of Amsterdam's Faculty of Economics and Business. His research focuses on actuarial science, mortality modeling, and financial risk management. Key areas include the intersection of environmental factors with mortality rates, stochastic mortality modeling, and the application of statistical techniques to life insurance and pension systems. His work often addresses socio-economic disparities in mortality, the impact of epidemics and climate variables, and methodological advancements in actuarial valuation. Recent studies highlight contributions to understanding mortality shocks, such as those from the COVID-19 pandemic, and their implications for insurance and pension markets. Publications span technical bases in life insurance, lapse behavior in insurance products, and the use of machine learning for spatial mortality analysis. Kleinow's research bridges theoretical models with practical applications, influencing both academic discourse and industry practices in risk assessment and policy design.

• Actuarial Science
• Machine Learning in Insurance
• Emerging Risks (Natural Disasters, Cyber Risk)
• +۵ مورد دیگر

Olivier Lopez is a Professor of applied mathematics in actuarial science at ENSAE IP Paris, affiliated with the CREST Laboratory (Finance-Actuarial). He serves as co-director of the Master's program in Statistics, Finance, and Actuarial Sciences at Institut Polytechnique de Paris. Previously, he directed the Institute of Statistics of Sorbonne Université (ISUP) from 2016 to 2023. He is a fully qualified member of the French Actuarial Association (Institut des Actuaires) and chairs its scientific committee. Since June 2024, he has been the General Secretary of the French Institute of Actuaries. His research focuses on applying statistics and machine learning to actuarial science, with emphasis on emerging risks (cyber risk, natural disasters), survival analysis, copula models, and high-dimensional issues. He leads the CARE research chair (funded by Allianz France) and co-leads the CyFi project on cyber insurance financialization with Citalid, supported by BPI France. Lopez teaches courses on duration models, emerging risks in insurance, and extreme-value theory. He actively engages with the French and European actuarial communities, representing the Institut des Actuaires in the Education Committee of the European Actuarial Association since 2019.

• Accounting
• Financial Reporting
• Corporate Governance
• +۷ مورد دیگر

Hakim BEN OTHMAN is a Professor of Accounting at ICN Business School with over 25 years of academic experience. His expertise spans financial reporting, IFRS, corporate governance, fintech, and blockchain technologies. He has held academic positions at institutions in France, Malta, Saudi Arabia, and Tunisia, and has professional experience as a consultant at Deloitte and KPMG. 2024: Habilitation à Diriger des Recherches, Sciences de Gestion, Comptabilité at Université de Lorraine, France 2008: Habilitation à Diriger des Recherches, Sciences de Gestion, Comptabilité at Faculté des Sciences Economiques et de Gestion de Tunis, Tunisia 2005: Doctorat, Sciences de Gestion, Comptabilité at Université de Tunis, Tunisia 1998: Master, Business Administration, Accounting at Institut Supérieur de Comptabilité et d'Administration des Entreprises (ISCAE), Tunisia 1995: Bachelor, Sciences de Gestion, Comptabilité at Institut des Hautes Etudes Commerciales, Université de Carthage, Tunisia Professor BEN OTHMAN's research focuses on accounting, financial reporting and IFRS, corporate governance, corporate social reporting, and the application of blockchain technology in finance. He has published in numerous top-tier journals including European Financial Management, Journal of Applied Accounting Research, and International Journal of Disclosure and Governance, with a particular focus on emerging markets. His recent publications highlight the digital transformation of financial reporting through XBRL, the impact of cultural factors on financial behaviors like tax evasion and money laundering, and the role of technology in implementing sustainable development goals. He has explored the intersection of fintech with sustainability and has contributed to understanding climate risk in accounting practices. He has received several notable scientific awards including the Emerald 2016 and 2017 award for research excellence and participation in the U.S. Department of State's International Visitor Leadership Program on entrepreneurship. He has served as associate editor or editorial board member for four ABS/ABDC-ranked journals. Throughout his career, Professor BEN OTHMAN has supervised nine doctoral students and served as an external examiner for numerous PhD students internationally. He has taught a wide range of courses, including advanced accounting, financial data analysis, and blockchain technology, at institutions across Tunisia, Malta, Saudi Arabia, and France.

• Trade Economics
• Spatial Economics
• Environmental Economics
• +۳ مورد دیگر

Augusto Ospital is an Assistant Professor at the Department of Economics at Ludwig Maximilian University of Munich (LMU Munich). He holds a PhD in Economics from UCLA (2023) and focuses on trade economics, spatial economics, environmental policy, and industrial organization. His research examines how housing supply regulations influence exposure to natural hazards, the economic impacts of non-tariff trade barriers in Argentina, and the equilibrium effects of agricultural policies. Education: PhD in Economics, UCLA, 2023 Research Interests: Ospital’s work bridges environmental and urban economics with trade policy. He investigates how regulatory frameworks shape residential development in risky areas, quantify market power in trade disputes, and model policy responses to climate change. Recent studies emphasize spatial disparities in environmental risk exposure and the role of land-use policies in climate adaptation. Key Achievements: Heinz König Award recipient for outstanding research contributions. Co-organizes the Online Spatial and Urban Seminar (OSUS) and Munich IE Seminar. Publications: Recent works include analyses of Argentina’s import restrictions (submitted to American Economic Review) and U.S. housing supply dynamics in natural hazard zones (forthcoming in AEA Papers).

• Extreme Value Theory
• Statistical Modeling
• Multivariate Statistics
• +۳ مورد دیگر

Anthony Christopher Davison is a Professor at the Institute of Mathematics within the School of Basic Sciences at École polytechnique fédérale de Lausanne (EPFL). He maintains an active research program in statistical methodology with a particular focus on extreme value theory and its applications across various domains including climate science, environmental statistics, and insurance. His work bridges theoretical developments with practical applications, addressing challenging problems in multivariate and spatial extremes. His research interests span Extreme Value Theory , Statistical Modeling , Multivariate Statistics , Spatial Statistics , and Bayesian Inference . Professor Davison has made significant contributions to the understanding of extremal dependence structures, developing novel methodologies for modeling multivariate extremes using structural equation models, graphical representations, and flexible nonparametric approaches. His work often addresses the challenges of non-stationarity in extreme events, particularly relevant in climate change contexts. Analysis of his recent publications reveals a consistent focus on advancing methodological frameworks for extreme value analysis while maintaining strong connections to real-world applications. His work demonstrates increasing sophistication in handling high-dimensional extremal dependence structures and addressing challenges in causal inference for extreme events. The publications span theoretical developments in statistical methodology alongside applications in climate science, environmental risk assessment, and insurance modeling. Professor Davison has supervised numerous doctoral students including Mario Krali, Timmy Rong Tian Tse, and Sonia Alouini, whose theses address cutting-edge problems in extreme value theory. His research has been supported by various funding bodies including the Swiss National Science Foundation and other Swiss foundations.

Elisabeth Krullمشاهده پروفایل

مدرس

• Systemic Risk Management
• Climate Change Adaptation
• Insurance Industry Strategies
• +۳ مورد دیگر

Dr. Elisabeth Krull is a Lecturer in Innovation at Alliance Manchester Business School, The University of Manchester. Her research focuses on strategizing in pluralistic contexts, particularly systemic risks like pandemics and climate change. She holds a PhD in Management from the University of Auckland and previously worked at Bayes Business School and the University of Auckland Business School. Her work contributes to UN Sustainable Development Goals, emphasizing risk-sharing mechanisms and interdisciplinary collaboration. Key research areas include the insurance industry’s response to systemic risks, pandemic risk financing, and climate change adaptation. She has led ESRC-funded projects and collaborated with insurers, policymakers, and industry bodies. Her academic background in banking strategy informs her research-practice nexus. Recent publications explore fairness in insurance, interdisciplinary learning, and team-based research impact. She actively participates in platforms like the Manchester Institute of Innovation Research and Sustainable Futures initiatives. Current projects address grand challenges through long-term research programs and knowledge integration strategies. Dr. Krull accepts PhD students and emphasizes connecting academic insights with organizational realities. Her teaching integrates real-world strategic challenges, reflecting her corporate strategy experience in New Zealand banking.

Natalya Shnitserمشاهده پروفایل

استاد

• Retirement Security
• Employee Benefits Law
• Corporate Governance
• +۷ مورد دیگر

Natalya Shnitser is a Professor and David and Pamela Donohue Faculty Fellow at Boston College Law School. She teaches and conducts research in the areas of corporations, corporate governance, employee benefits law, and fiduciary obligations. Her work focuses on retirement security, the regulation of financial intermediaries, and the governance of retirement plans under ERISA. Her research interests lie at the intersection of law, finance, and public policy, particularly in how retirement systems serve American workers. She examines fiduciary duties in 401(k) plans, the rise of collective investment trusts, ESG investing, participant preferences in investment selection, and the evolution of ERISA’s regulatory framework. Her scholarship is published in leading legal journals and policy forums such as the Yale Law Journal , Harvard Law School Forum on Corporate Governance , and The Regulatory Review . The recent articles reflect a strong trend in retirement plan governance, ERISA compliance, fiduciary duty, and the impact of regulatory changes on retirement security. Her work increasingly engages with policy debates around ESG investing, climate risk, and participant autonomy in defined contribution plans. David and Pamela Donohue Faculty Fellow Coker Fellow, Yale Law School Phi Beta Kappa, Stanford University Chair, AALS Section on Employee Benefits and Executive Compensation Organizer, Annual Conference on Employee Benefits and Social Insurance Shnitser advises on retirement policy and has contributed to national debates on ERISA, fiduciary standards, and retirement plan design. She has not received specific grant mentions in the text, but her fellowship and leadership roles indicate institutional support. She has supervised research scholars and likely mentors junior faculty and students, though specific advisees are not listed. She has been actively involved in academic and policy communities, organizing major conferences and contributing to public discourse through op-eds and media appearances. Her work bridges legal scholarship and real-world policy impact, particularly in shaping retirement security for American workers.

Eric Beinhockerمشاهده پروفایل

استاد

• Economics
• Complexity Economics
• Public Policy
• +۷ مورد دیگر

Eric Beinhocker is a Professor of Public Policy Practice at the Blavatnik School of Government, University of Oxford, and the founder and Executive Director of the Institute for New Economic Thinking (INET) at the Oxford Martin School. He also serves as a Supernumerary Fellow in Economics at Oriel College and an External Professor at the Santa Fe Institute. His interdisciplinary work bridges economic theory, complexity science, and practical policy applications to address pressing global challenges. Beinhocker earned his undergraduate degree from Dartmouth College and an MBA from MIT Sloan School of Management. Prior to his academic career, he spent 18 years at McKinsey & Company as a partner with leadership roles in Strategy, Climate Change and Sustainability, and the McKinsey Global Institute. This industry experience informs his pragmatic approach to economic policy. His research spans complexity economics, economic paradigm change, climate policy, financial stability, and economic inequality. Beinhocker's work challenges traditional equilibrium-based economic models, instead applying complexity theory to understand economic systems as dynamic, evolving networks. He has pioneered the application of agent-based modeling to economic problems, collaborating with central banks and policymakers on practical applications. Analysis of his recent publications reveals a consistent focus on the intersection of climate policy, economic systems, and social contracts. His work demonstrates how technological and economic forces driving the clean energy transition have reached a point of irreversibility. He has examined how financial regulations may inadvertently impede climate action, analyzed the psychological foundations of rising populism, and explored innovative approaches to welfare economics. As author of 'The Origin of Wealth: The Radical Remaking of Economics and What It Means for Business and Society,' Beinhocker has significantly influenced the field of complexity economics. His work regularly appears in major publications including the Financial Times, Wall Street Journal, Bloomberg, The Times, the Guardian, The Atlantic, and the Washington Post. Under Beinhocker's leadership, INET Oxford has developed multiple research initiatives including Climate Econometrics, Complexity Economics, Economics of Sustainability, and Economics, Inequality & Opportunity. These programs address critical challenges such as low-carbon development pathways, energy innovation policy, financial system resilience, and the drivers of economic inequality through interdisciplinary collaboration.