جست‌وجوی استاد و پژوهشگر

Paulo MARZIONNAمشاهده پروفایل

استادیار

• Workplace Conflict
• Dispute Resolution
• Employment Law

Paulo Marzionna is Assistant Professor at IÉSEG School of Management, teaching negotiation and human resource management. He holds a Ph.D. in Industrial and Labor Relations from Cornell University, with additional qualifications in arbitration law and business administration. Research examines workplace conflict resolution, bullying perceptions, and ombudsman systems. Recognized with dissertation awards from Labor and Employment Relations Association and teaching excellence awards. Professional background includes employment law practice and HR business partnership in financial services. Cross-cultural expertise spans European, North American and Latin American labor systems. Current projects develop compliance education frameworks for medical schools and analyze ethical dimensions in negotiation.

Tanja Burgardمشاهده پروفایل

پژوهشگر

• Meta-Analysis
• Research Synthesis
• Open Science
• +۳ مورد دیگر

Dr. Tanja Burgard is a Senior Researcher in Psychological Metascience at the Leibniz Institute for Psychology Information (ZPID). She has been at ZPID since 2017 and served as acting head of the Research Synthesis department from 2021 to 2024. Burgard holds a PhD in Empirical Social Research (Dr. rer. pol.) from Trier University (2021). Her work focuses on meta-analytic methods, research synthesis, and open science practices, particularly through platforms like PsychOpen CAMA. She has contributed to developing guidelines for accessible meta-analysis summaries and tools to streamline systematic reviews using machine learning. Education: PhD in Empirical Social Research (Dr. rer. pol.), Trier University (2021) Key Roles: Senior Researcher in Psychological Metascience, Acting Head of Research Synthesis Department (2021–2024) Research Interests: Her research emphasizes improving the rigor, transparency, and accessibility of psychological research through meta-analyses, community-augmented methods, and open science initiatives. She explores topics like response rates in surveys, panel conditioning effects, and cumulative evidence synthesis. Publications: Burgard has authored/co-authored over 20 peer-reviewed articles on meta-analytic methods, open science infrastructure, and psychological methodology. Her work bridges theoretical advancements with practical tools for researchers. Labs/Teams: Member of the Psychological Metascience Lab and ForSynData project, advancing FAIR data standards for research synthesis.

David Hardistyمشاهده پروفایل

دانشیار

• Behavioral Science
• Consumer Behavior
• Sustainability
• +۴ مورد دیگر

Dr. David Hardisty is an Associate Professor and SMEV Chair of Marketing & Behavioral Science at the Sauder School of Business , University of British Columbia. His research focuses on consumer behavior in sustainability and financial decision-making, with notable work on behavioral nudges, intertemporal choices, and environmental policy. He co-founded the Decision Insights for Business and Society (DIBS) group and the Interdisciplinary Biodiversity Solutions (IBioS) research cluster. In a recent seminar, he discussed a longitudinal study on household laundry behaviors, revealing that environmental benefit nudges and multiple behavior requests yield stronger energy efficiency outcomes. His research integrates behavioral science with real-world applications, addressing climate change mitigation and consumer psychology challenges. Key research themes include: Behavioral interventions for sustainable choices Temporal decision-making and patience Marketing strategies for environmental and financial contexts Cross-cultural mental accounting His work spans academic and applied domains, with studies on charity dynamics, gig economy biases, and policy design. He has collaborated on projects like parking compliance signs and energy label effectiveness, emphasizing practical solutions to global challenges.

Liying Chengمشاهده پروفایل

استاد

• Language Assessment
• Educational Testing
• Second Language Acquisition
• +۳ مورد دیگر

Liying Cheng is a Professor in the Faculty of Education at Queen's University. She specializes in language assessment, second language testing, and the impact of large-scale testing on education systems. Her work emphasizes washback effects and the academic integration of international students. She holds a PhD in Language Assessment from the University of Hong Kong and an MA in Teaching English as a Foreign Language from the University of Reading. Education History: PhD (1997): Language Assessment, University of Hong Kong MA (1993): Teaching English as a Foreign Language, University of Reading Research Interests: Global impact of standardized testing Educational equity and assessment fairness Language acculturation of immigrant professionals Classroom assessment practices in multilingual contexts Her landmark studies on washback theory have reshaped understanding of how testing influences teaching and learning. Notable contributions include analyzing the TOEFL iBT, CELPIP, and Gaokao systems. Scientific Awards: TOEFL Award for Outstanding Dissertation (1998) TESOL Leadership Mentoring Award (2002) Advising & Grants: Over 1.8M CAD in research funding since 2000, with over 230 conference presentations and 150+ publications. Current roles include Faculty Director of the Assessment and Evaluation Group at Queen's. Labs/Teams: Lead researcher in language assessment at Queen's, collaborating with institutions globally on testing policy and implementation.

EMİNE BALCIمشاهده پروفایل

دانشیار

• Learning Disability
• Dyslexia
• Teaching First Reading and Writing
• +۳ مورد دیگر

Assoc. Prof. EMİNE BALCI is an Associate Professor in the Department of Basic Education and Classroom Education at the Faculty of Education, Alanya Alaaddin Keykubat University. She holds a PhD in Classroom Education from Gazi University (2015) and has extensive experience in special education, particularly focusing on learning disabilities, dyslexia, and early literacy development. Her academic roles include serving as Vice Dean and Department Head at her institution. Completed a PhD on 'Evaluation of education programs for dyslexia in the US' (2015) Supervised multiple theses addressing educational challenges like differentiated instruction and fair values teaching Active in curriculum development for Turkish language education in primary schools Her research emphasizes early identification of dyslexia risks, multisensory learning interventions, and teacher training. Recent publications (2023) explore phonological awareness development and creative drama methods for communication skills. Engaged in national workshops for updating Turkish language curricula and textbook reviews. No scientific awards explicitly mentioned. Advisory work includes mentoring 10+ graduate students and participating in over 20 academic conferences. Lab/team involvement includes collaborative projects on educational policy and inclusive teaching methods.

• Artificial Intelligence
• Explainable AI
• Machine Learning
• +۵ مورد دیگر

Isel Grau Garcia is an Assistant Professor in the Information Systems group at Eindhoven University of Technology (TU/e). Her research focuses on advancing Artificial Intelligence, particularly in explainable AI, recurrent neural networks, and bias mitigation. She holds a PhD from Vrije Universiteit Brussel (2020) and has co-authored over 80 peer-reviewed publications. She has supervised three PhD students and received awards including the Best Demo Award at BNAIC 2021 and the Industria Students Award 2024. Her work spans healthcare and business applications, emphasizing interpretable machine learning and trustworthy decision systems. Educational Background: PhD in Computer Science, Vrije Universiteit Brussel (2020) MSc in Artificial Intelligence, Central University of Las Villas (2014) BSc in Computer Science, Central University of Las Villas (2011) Research Interests: Her work addresses AI interpretability, time-series analysis, and ethical AI. She develops methods to enhance transparency in machine learning models and collaborates with institutions like the Interuniversity Institute of Bioinformatics Brussels. Recent projects include ENFIELD (Trustworthy Green AI) and semiconductor demand forecasting using cognitive networks. Grants & Projects: She is a project member of the ENFIELD initiative (2023–2026), focusing on trustworthy and green AI. Her research also involves collaborations with industry partners such as Collibra BV. Labs & Teams: Active in TU/e’s Information Systems group, she leads interdisciplinary teams advancing XAI and healthcare applications. Her lab develops tools like FCM Expert for scenario analysis and pattern classification.

• Migration Governance
• Deportation Policies
• Forced and Voluntary Return Migration
• +۴ مورد دیگر

Dr. Laura Cleton is a postdoctoral researcher at Erasmus University Rotterdam's Erasmus School of Social and Behavioural Sciences, specializing in deportation governance and migration policies. She leads the FAiR project investigating legitimacy perceptions among street-level bureaucrats implementing return policies. Previously, she held postdoctoral roles at UNU-MERIT and Maastricht University, focusing on diaspora capacity-building. Her PhD (2022), awarded prestigious prizes, explored the legitimation of child deportations via intersectional boundary work. Her research interests span migration governance, feminist migration studies, and family migration policies. She serves as Associate Editor for the Journal of Ethnic and Migration Studies , chairs IMISCOE's GenSeM committee, and is Secretary of the Dutch Association for Migration Research (DAMR). Key awards include the 2022 APSA Best Dissertation Prize and the Van Poelje Prize. Her work addresses gendered/racialized family norms in deportation, temporalities of deportability, and bureaucratic legitimation strategies. Recent publications analyze ethical challenges in accessing deportation systems and controversies around migrant family detention.

David Reaمشاهده پروفایل

استادیار

• Predictive and Prescriptive Analytics
• Healthcare Operations Management
• Humanitarian Logistics
• +۳ مورد دیگر

David Rea is an Assistant Professor at Lehigh University with a primary appointment in the College of Business and a courtesy appointment in the College of Health. His research focuses on improving human well-being through predictive and prescriptive analytics in healthcare and humanitarian systems. He has collaborated with organizations like University of Cincinnati Health, Cleveland Clinic, and Freestore Foodbank. David holds a PhD from the University of Cincinnati Lindner College of Business, an M.S. from Clemson University, and a B.A. from Wittenberg University. Education: Ph.D. in Operations and Business Analytics, University of Cincinnati (2021) M.S. in Mathematical Sciences, Clemson University (2015) B.A. in Mathematics & Economics, Wittenberg University (2012) Research Interests: David’s work integrates ethical considerations (e.g., distributive justice) with operational analytics to address challenges in healthcare systems, emergency departments, and basic-needs service delivery. His recent studies analyze fairness-performance trade-offs in resource allocation, real-time emergency department optimization, and equity in healthcare gig work. His methodologies bridge optimization theory with practical implementation in high-stakes environments. Recent Work Trends: His publications emphasize fairness in allocation algorithms, emergency healthcare workflows, and interdisciplinary solutions for systemic inequities. The 2024 articles highlight advancements in geospatial logistics, physician decision-making under time constraints, and equity-profit trade-offs in healthcare systems. Awards: Lindner College of Business Outstanding Doctoral Student Research Award (PhD award) Advising & Grants: While formal student advisees are not listed, David’s collaborative projects with hospitals and foodbanks imply applied grant-funded research. His presentations at DSI and INFORMS conferences (2020–2021) suggest active engagement in operational analytics communities. Labs/Teams: Engaged with interdisciplinary teams at Lehigh’s College of Business and College of Health, focusing on healthcare analytics and humanitarian logistics. Collaborations extend to clinical partners for real-world implementation of his models.

Alican MECITمشاهده پروفایل

دانشیار

• Psycholinguistics
• Decision-making
• Time perception
• +۳ مورد دیگر

Alican MECIT is an Associate Professor of Marketing at SKEMA Business School, France. He holds a Ph.D. in Marketing from HEC Paris, a Master's from Bogaziçi University (Turkey), and a Bachelor's in Business Administration from the same institution. His research focuses on psycholinguistics, decision-making, and time perception, with a particular emphasis on how language structures influence consumer behavior and cognitive processes. Key research interests include the impact of grammatical gender on consumer judgments (e.g., danger perceptions of diseases like COVID-19), the dehumanizing effects of anthropomorphism in marketing, and the role of time metaphors in decision-making. He has presented work at major conferences including ACR, EMAC, and SCP, and serves as a reviewer for journals like Journal of Consumer Psychology and American Psychologist . His recent studies explore technology-mediated morality, medical decision biases, and inconsistent reviews' effects on consumer memory. He has received the 2023 Outstanding Junior Researcher award from SKEMA. MECIT actively participates in the American Marketing Association, Society for Consumer Psychology, and European Marketing Academy.

Roos Gerritsmaمشاهده پروفایل

دانشیار

• Urban Tourism
• Regenerative Design
• Sustainable Development
• +۳ مورد دیگر

Roos Gerritsma is an Associate Professor at Inholland University of Applied Sciences, affiliated with the Urban Leisure & Tourism Lab and Applied Research x Creativity knowledge center. She leads the Urban Leisure & Tourism Lab in Amsterdam Noord, focusing on urban transition, regenerative tourism, and inclusive area development. Her current PhD trajectory (Professional Doctorate, 2023–2029) explores regenerative urban tourism principles. She has collaborated with amsterdam&partners, Reinventing Tourism, and international Erasmus partners like Leicester (UK) and Barcelona (SP). Education: Master’s in Urban Sociology (University of Amsterdam), Bachelor’s in Communication (The Hague University of Applied Sciences), and NOBCO coach certification. Career highlights include roles as lecturer-researcher (2003–2016) and Associate Professor (2016–present) within Creative Business Research Center. Research interests span urban tourism interventions, sustainable development, and socio-spatial inclusion. Key projects include the European H2020 SMARTDEST study (2020–2023) on tourist city inclusion mechanisms and placemaking workshops via the Urban Leisure & Tourism Lab. Publications include works on Pride event spatial distribution, Amsterdam residents’ tourism attitudes, and living lab-based tourism solutions. She emphasizes collaborative design, long-term community engagement, and policy integration to address poly-crises in urban contexts.

Aras Zirgulisمشاهده پروفایل

استاد

• Public Economics
• Tax Policy
• Economic Theory
• +۴ مورد دیگر

Prof. Aras Zirgulis is an American-Lithuanian scholar and Professor at ISM University of Management and Economics since 2010. He holds degrees from UCSD (undergraduate), Vilnius University (master's), and ISM (doctoral). His research focuses on Public Economics, tax policy, and labor economics. He has conducted research visits at ZEW (Germany) and BI Norwegian Business School. Notably, he received the 2017 Kazimieras Meškauskas Prize for his doctoral work on economics. Teaching includes courses like Microeconomics (ECO101), Public Finance (FIN104), and Logical Argumentation (MNG241). He led the RCL Postdoctoral Fellowship on Tax Structures (2020-2022, €49,815) and contributed to the Industry 4.0 project (2020, €61,142). His research spans tax impacts on cross-border sales, migration-unemployment linkages in Europe, and behavioral finance in corporate tax planning. Key publications address Treasury yield curves, Baltic beer taxation, and banana trade wars. He actively participates in international conferences (e.g., ZEW, Spatial Econometrics Association). His work bridges theoretical economics with policy-relevant analysis, emphasizing fiscal frameworks and regional dynamics.

• Visual Data Exploration
• Human-Computer Interaction
• Large-Scale Data Visualization
• +۵ مورد دیگر

Manuela Waldner is an Associate Professor in the Department of Computer Graphics at Technische Universität Wien (TU Wien). Her research focuses on visual data exploration, human-computer interaction, and immersive analytics. She leads projects like 'Visual Analytics and Computer Vision meet Cultural Heritage' (FWF doc.funds.connect) and 'Joint Human-Machine Data Exploration' (FWF). She teaches courses including 'Computer Graphics', 'Information Visualization', and 'Visual Research Methods'. Awards include the Best Paper Award at EuroVA 2024. Her work spans medical visualization, VR navigation, and bias analysis in AI models. She advises numerous PhD and Master's students, contributing to 43+ publications.

• Media Studies
• Communication Science
• Sociology
• +۳ مورد دیگر

Dr. Anne Kroon is a Visiting Professor at the University of Amsterdam's Faculty of Social and Behavioural Sciences , affiliated with the Department of Communication, Organizations and Society . Her research focuses on media effects, computational communication science, and societal challenges such as bias, stereotypes, and age discrimination. She leads projects like INCA (Infrastructure for Content Analysis), advancing automated content analysis through computational methods. Kroon's work bridges social science theory with digital tools, addressing issues like media bias in news, algorithmic fairness, and the ethical implications of AI. Her research interests span media framing, audience behavior, and the societal impact of digital platforms. Notable projects include studies on dark platforms' role in information flows, gender and age stereotypes in job advertisements, and the psychological effects of media exposure on stereotypes. She has published extensively on computational methods, including transfer learning applications in media analysis and the detection of ethnic biases through word embeddings. Kroon's work often addresses real-world policy implications, such as combating ageism in the workplace and understanding the digital divide's vulnerabilities. She collaborates across disciplines, integrating sociology, communication science, and computer science to tackle complex societal issues. Ancillary activities, if any, are not detailed in the provided information.

• Artificial Intelligence
• Political Communication
• Journalism
• +۵ مورد دیگر

Christopher Starke is a Researcher at the University of Amsterdam , affiliated with the Faculty of Social and Behavioural Sciences . His work bridges Artificial Intelligence with Political Communication & Journalism , focusing on ethical implications and societal impacts. Research spans AI fairness, algorithmic bias, and digital governance. Key themes: Synthetic relationships, anti-corruption tools, and media trust dynamics. Contact: c.d.r.o.starke@uva.nl Recent publications examine interdisciplinary perspectives on AI fairness , generative AI in journalism , and algorithmic solutions for corruption . His studies integrate computational methods with social science frameworks, emphasizing ethical design principles and human-centric AI. Active in European identity and digital policy research, Starke explores how AI shapes solidarity, media framing, and institutional legitimacy. His work includes analyses of social media effects on government trust and public discourse .

• Corporate Finance
• Macro Finance
• Supply Chain Finance
• +۲ مورد دیگر

Dr. Yun Liu is a Lecturer in Accounting and Finance at the School for Business and Society, University of York, since August 2023. She holds a BSc in Physics from Fudan University, followed by an MSc and PhD in Economics from the Hong Kong University of Science and Technology. Education: BSc Physics, Fudan University MSc Economics, Hong Kong University of Science and Technology PhD Economics, Hong Kong University of Science and Technology Her research focuses on developing theoretical and quantitative models in corporate finance, macro finance, supply chain finance, and macroeconomics. Recent work emphasizes firms’ financing strategies under policy risks, particularly environmental regulations. Her publications analyze topics like wage inequality under environmental policies, SME credit access during crises, and fintech applications in agricultural finance. Teaching: Undergraduate: Financial Markets and Investments Postgraduate: Advanced International Corporate Finance, Individual Research Project - Finance Her work bridges theoretical frameworks with empirical evidence, addressing contemporary issues such as pandemic-induced economic challenges and regulatory impacts on business strategies.