جست‌وجوی استاد و پژوهشگر

Jeff D. Brazellمشاهده پروفایل

مدرس

• Marketing Research
• Conjoint Analysis
• Choice Modeling
• +۹ مورد دیگر

Jeff Brazell is a Lecturer in the Department of Marketing at the David Eccles School of Business, University of Utah. He also serves as Director of the Center for Strategic Analytics, leveraging his expertise in marketing research and predictive analytics to bridge academic theory with industry practice. Doctorate: PhD in Marketing Science, University of Sydney (2000) Teaching Experience: University of Utah (1993-1994, 2019–present), University of Sydney (1994–1999) His research focuses on decision-based analytics for marketing challenges, including conjoint analysis, choice modeling, and economic valuation of product features. He has co-authored a textbook and published extensively in top journals like the Journal of Marketing Research and the Journal of Law and Economics. The 15 most recent publications highlight his work in choice modeling, Bayesian statistics, market share analysis, and predictive analytics. These articles span applications in consumer behavior, economic feature valuation, and hierarchical effects in advertising, reflecting his interdisciplinary approach to solving complex market problems. CEO of the Year, Utah (2016) Best Paper, AMA Advanced Research Techniques Forum (2009) Teaching Recognition Award, University of Sydney (1996) Outstanding Marketing Scholar, University of Utah (1993) Multiple Teaching Excellence Awards (1994) Honor Society Memberships: Phi Kappa Phi, Beta Gamma Sigma, Phi Beta Kappa As founder of The Modellers, sold to Omnicom (2010), he has translated academic research into commercial success for Fortune 500 clients. His ongoing work emphasizes improving executive decision-making through data-driven insights and advanced market intelligence tools.

• Algorithmic Game Theory
• Market Equilibrium Computation
• Fair Division
• +۵ مورد دیگر

Ruta Mehta is an Associate Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign . Since 2016 she has led a vibrant research program in algorithmic game theory, market design, and fair division, while actively shaping the community through service roles such as Program Co-Chair of WINE 2020 and Area Chair of EC 2021. Education Ph.D. in Computer Science & Engineering, Indian Institute of Technology Bombay, 2012. (Advisors: Prof. Milind Sohoni & Prof. Bharat Adsul; ACM India Doctoral Dissertation Award 2012) M.Tech. in Computer Science & Engineering, Indian Institute of Technology Bombay, 2005 B.E. in Computer Engineering, Maharaja Sayajirao University (MSU) Baroda, 2003 Research Interests Mehta’s work lies at the intersection of theoretical computer science , mathematical economics , and social choice theory . She investigates the computability and complexity of equilibria—both market and Nash—under a variety of utility models, and designs provably efficient algorithms that are practical for real-world resource-allocation tasks. Current themes include: Algorithmic Game Theory: equilibrium computation, smoothed analysis, learning in games Fair Division: envy-freeness up to any good (EFX), mixed manna, competitive equilibrium with chores Interdisciplinary Applications: genetic evolution, machine-learning markets, climate-aware allocation Publication Trends Her 15 most recent works (2017–2025) span Operations Research , Mathematics of Operations Research , STOC, SODA, EC, ITCS, AAMAS, and NeurIPS. The articles cluster around three thrusts: (i) rigorous hardness and approximation results for market equilibrium in Leontief and PLC exchange economies, (ii) algorithmic advances toward guaranteed EFX allocations and competitive equilibrium with mixed manna, and (iii) novel game-theoretic analyses of genetic diversity and strategic resource allocation under budget constraints. Scientific Awards & Honors NSF CAREER Award (2018) Outstanding Post-Doctoral Researcher Award, Georgia Tech (2014) Rising Stars in EECS (2013) ACM India Doctoral Dissertation Award (2012) Google India Anita Borg Memorial Scholarship (2012) IBM PhD Award (2010) IBM PhD Fellowship (2009–2010) Grants, Advising, and Community Leadership Mehta currently mentors a growing group of graduate students and post-docs. She is PI on an NSF CAREER grant and has served on federal panels reviewing NSF CISE proposals. Beyond research, she founded the EC (AGT) Mentoring Workshop , co-located with the ACM Economics & Computation conference, to broaden participation of women and under-represented minorities in algorithmic game theory. Labs & Teams Her research group operates within the Theory & Algorithms cluster at UIUC, leveraging ties with the Decision & Control group and the Social & Algorithmic Thinking initiative. She is an active member of ACM SIGecom and regularly organizes reading groups on algorithmic game theory and fair division.

• Corporate Strategy
• Manufacturing Strategy
• Acquisitions
• +۷ مورد دیگر

Thomas H. Brush is a Professor of Management in the Strategic Management Area at the Daniels School of Business, Purdue University. He earned his PhD in Economics and Business Administration from the University of Michigan (1990) and previously served on the faculty of the University of Minnesota's Carlson School of Management. His research explores intersections between corporate strategy and manufacturing strategy, focusing on acquisitions, diversification, supplier relationships, and IT-enabled outsourcing. PhD, Economics and Business Administration, University of Michigan (1990) MA, Economics, University of Michigan (1986) BA, Economics cum laude, Harvard University (1979) Brush's work examines how technological initiatives reshape business models, particularly in HR outsourcing, knowledge management, e-commerce marketplaces, and online banking performance. His current research investigates digital integration's impact on supplier performance. He has published in top-tier journals like Strategic Management Journal , Management Science , and Academy of Management Journal , with over 30 years of academic output spanning acquisition performance, plant networks, and vertical alliances. Scientific awards include the 1991 Free Press Award for Outstanding Dissertation Research in Business Policy and Strategy. He has provided consulting and educational services to IBM, Dow Corning, Pioneer Hi-Bred, Navistar International, American Animal Hospital Association, and American Axle Manufacturing. His interdisciplinary work on product lifecycle management (PLM) has contributed to intellectual property (IP) supplier standards for the Licensing Executives Society (LES).

• Institutional Economics
• Economic Methodology
• Economic Sociology

Prof. Dr. Ömer DEMİR is a Professor at the Faculty of Political Sciences, Department of Economics at Ankara Social Sciences University since 2015. Previously, he served as Professor at Yıldırım Beyazıt University (2011-2015) and Çankırı Karatekin University (2009-2011). His academic career began at Anadolu University in 1991 as a Research Assistant, and he became an Associate Professor at Kırıkkale University in 1996. He earned his PhD in Economic Policy from Anadolu University in 1993, following a Master's degree in Political Science and Public Administration from Middle East Technical University (1988-1990) and a BA in Political Science and Public Administration from the same institution (1983-1988). Prof. DEMİR's research focuses on Institutional Economics, Economic Methodology, and Economic Sociology. His work explores the intersection of economics with social institutions, ethical considerations in economic behavior, and the methodological foundations of economic science. He has examined topics such as interest-free finance systems, cognitive aspects of economic decision-making, and the impact of religious practices on economic activities. His scholarly contributions show a consistent focus on institutional frameworks that shape economic behavior, with particular attention to Islamic economic thought and its compatibility with modern financial systems. His work often bridges theoretical economics with practical policy considerations, especially in the Turkish context. Prof. DEMİR has received significant recognition for his scholarly work, with 208 citations and an h-index of 5. His research has been published in journals such as Insight Turkey, Middle Eastern Studies, and Turkish Journal of Business Ethics. He has supervised five graduate students, including doctoral candidates Hüseyin Serdar Ramazanoğlu (2024) and Abdülvahhap Ömer Toprak (2019), as well as master's students V. Örsdemir (1999), M. Aktaş (1998), and H. Çaha (1996). His academic leadership extends to editorial roles for journals including 'İstatistik Sempozyumu' and 'Journal of Economic and Social Research.' Prof. DEMİR has held numerous administrative positions, including serving as Rector of Ankara Social Sciences University (2013-2015) and currently as Department Chairman since 2019. He has also been an active member of important national academic bodies, including the TÜBİTAK Science Board since 2011 and the Higher Education Council (YÖK) since 2014.

Uri Maozمشاهده پروفایل

دانشیار

• Computational Neuroscience
• Neuroethics
• Volition and Decision-Making
• +۶ مورد دیگر

Dr. Uri Maoz is an Associate Professor at Chapman University, affiliated with the Crean College of Health and Behavioral Sciences, Schmid College of Science and Technology, and Fowler School of Engineering. His research bridges computational neuroscience, decision-making, and moral philosophy, focusing on volition and the neural underpinnings of conscious action. He holds visiting roles at UCLA (Department of Anesthesiology) and Caltech (Biology and Bioengineering). Educations: Bachelor of Science in Computer Science and General Humanistic Studies, The Hebrew University of Jerusalem Ph.D. in Neural Computation, The Hebrew University of Jerusalem Research Interests: Dr. Maoz investigates how consciousness influences voluntary actions through empirical methods (EEG, intracranial recordings) and theoretical models. He explores ethical and legal implications of neuroscience, particularly regarding free will and decision-making. His work integrates machine learning for real-time neural data analysis. Key Projects: Leading the COVID-Dynamic longitudinal study on pandemic-related behavioral and emotional changes. Developing computational models of volition and neural correlates of intention. Collaborating across disciplines to address neuroethical questions. Visiting Roles: Visiting Assistant Professor at UCLA’s Department of Anesthesiology Visiting Associate in Biology and Bioengineering at Caltech Labs/Teams: Active in Chapman’s Institute for Interdisciplinary Brain and Behavioral Sciences and collaborates with the Anderson School of Management at UCLA.

• Public Economics
• Applied Economics
• Economic Theory
• +۳ مورد دیگر

Joanne Kathryn Roberts is the third President and Professor of Economics at Yale-NUS College. She previously served as Executive Vice President (Academic Affairs) from 2018–2022, overseeing academic and student programming. Her research focuses on public economics, particularly tax policy, charitable giving, and legal institutions. She holds a PhD from Queen’s University (Canada) and has held faculty positions at the University of Toronto, University of Calgary, and Yale-NUS. She is also set to become Vice President (Humanities and Social Sciences Research) at the National University of Singapore starting January 2025. Education: PhD in Economics, Queen’s University, Canada Masters in Economics, Queen’s University, Canada Bachelor’s in Economics, University of Waterloo, Canada Research Interests: Prof. Roberts examines how incentives shape behaviors in tax systems, legal frameworks, and charitable sectors. Her work bridges theoretical models with empirical analyses of policy impacts, particularly in tax evasion, fiscal regulation, and criminal justice systems. She has contributed to understanding complementarities between public and private protection mechanisms, optimal tax policy design, and parole decision-making dynamics. Awards & Recognition: Polanyi Research Prize Canada Research Chair in the Economics of Organizations (University of Calgary) Leadership & Service: Roberts serves on the NUS Asia Research Institute management board, NINEby9’s advisory panel (gender parity advocacy), and the Steward Leadership 25 awards jury. She previously chaired the Canadian Economics Women’s Network and co-edited the Canadian Journal of Economics . Labs/Teams: While no specific lab is mentioned, her research collaborations span institutions like the University of Calgary, Queen’s University, and NUS, focusing on applied economic policy analysis.

• Machine Learning
• Reinforcement Learning
• Decision Making Under Uncertainty
• +۶ مورد دیگر

Michail G. Lagoudakis is a Professor at the Department of Electronic and Computer Engineering, Technical University of Crete. His academic journey includes a Ph.D. in Computer Science from Duke University (2003), an M.Sc. from the University of Louisiana, Lafayette (1998), and a B.Sc. from the University of Patras (1995). He has held prestigious positions such as Postdoctoral Fellow at Georgia Institute of Technology's School of Industrial and Systems Engineering. Research Interests : Spanning machine learning (especially reinforcement learning), decision-making under uncertainty, robotics, algorithm selection, computational biology, and human-computer interaction. Publications : Over 15 recent works, including key contributions to robotics (auction-based multi-robot routing), medical diagnosis (urgent endoscopy prediction), and foundational machine learning (Least-Squares Policy Iteration, RCPI algorithm). Scientific Recognition : Recipient of Duke University's Outstanding Dissertation Award (2002-2003) and two Outstanding Teaching Assistant Awards. Professional Affiliations : Member of AAAI, IEEE, and ACM. Collaborations include industrial applications in disassembly planning, dynamic packet routing, and medical imaging. He advocates for computational biology and interdisciplinary research, aiming to integrate tools from mathematics and control theory into machine learning.

Adriana Gerarda Busمشاهده پروفایل

استاد

• Early Literacy
• Digital Literacy
• Multimedia Learning
• +۷ مورد دیگر

Adriana Gerarda Bus is a Professor at the University of Stavanger, Faculty of Arts and Education, and a leading researcher at the National Centre for Reading Education and Research. Her work bridges early literacy, digital media, and educational intervention, with a strong focus on how digital picture books can support children's language and reading development. Her research interests include early literacy, digital literacy, multimedia learning, bilingual and multilingual reading, home literacy environments, and educational technology. She investigates how digital enhancements in e-books influence story comprehension and vocabulary acquisition, particularly among young and language-minority children. Her work often employs meta-analytic methods to synthesize evidence across studies. The most recent articles highlight a consistent trend: exploring the efficacy, design, and accessibility of digital picture books across diverse contexts. Themes include screen vs. paper reading, multilingual access, nudging strategies to promote reading, and interventions like Bookstart. Her publications appear in high-impact journals such as AERA Open , Learning and Instruction , and Review of Educational Research . Building a Stronger Case for Independent Reading at School (2024) Nudging to Stimulate Reading in Primary and Secondary Education (2023) Efficacy of digital picture book enhancements... (2023) Free access to multilingual digital books... (2023) A Comparison of Children’s Reading on Paper Versus Screen: A Meta-Analysis (2021) She has received no explicitly mentioned scientific awards in the provided text. Her advising activities are not detailed, but she frequently collaborates with PhD students and early-career researchers. She has been involved in grant-funded projects related to digital literacy, Bookstart evaluations, and cross-cultural studies of reading interventions. She is affiliated with the National Centre for Reading Education and Research, a key hub for literacy research in Norway. Her team engages in both experimental and meta-analytic studies, often in collaboration with international partners from the Netherlands, the U.S., Poland, and Zambia. Future work appears to focus on expanding digital access for multilingual families and refining digital book designs for optimal learning outcomes.

Chris Impeyمشاهده پروفایل

استاد

• Astronomy
• Astrophysics
• Cosmology
• +۵ مورد دیگر

Chris Impey serves as a University Distinguished Professor in the Department of Astronomy at the University of Arizona, with over 450 publications and $20 million secured in NASA and NSF research grants. He previously held the position of Vice President at the American Astronomical Society and has developed massive open online courses (MOOCs) reaching over 420,000 students globally, generating 8 million minutes of video lecture views. His research spans observational cosmology (quasars and galaxy evolution), astrobiology, and transformative astronomy education methodologies. Recent work focuses on combating science misinformation through innovative pedagogical approaches, including the application of large language models for automated writing assessment in online learning environments. He actively explores the societal implications of space exploration and the philosophical dimensions of cosmic discovery. Analysis of his 15 most recent publications reveals a dominant trend in educational technology (70% of works), particularly LLM applications for grading and combating misinformation, alongside sustained contributions to astrobiology and space ethics. Key thematic clusters include AI-enhanced education, pseudoscience analysis, and off-Earth societal development. Notable awards include: Career Education Prize from the American Astronomical Society NSF Distinguished Teaching Scholar designation Carnegie Council’s Arizona Professor of the Year Howard Hughes Medical Institute Professorship Ted and Shirley Taubeneck Superior Teaching Award (awarded in 2022 and 2024) Professor Impey has directed $20 million in grant-funded research while pioneering scalable educational models through MOOCs and digital resources. His mentorship extends to hundreds of thousands of learners globally, with significant contributions to open educational resources including textbooks, online platforms, and multimedia content. Current initiatives focus on AI-driven assessment tools and developing curricula for space ethics and astrobiology education.

Steven Zhouمشاهده پروفایل

استادیار

• leadership
• personality
• vocational psychology
• +۱۰ مورد دیگر

Steven Zhou is an Assistant Professor of Psychological Science at Claremont McKenna College, where he leads the STATS Lab (www.statslabatcmc.com). His academic work bridges quantitative methods with psychological research, focusing on leadership, personality, and vocational psychology. With methodological expertise in psychometrics, machine learning, and data visualization, he actively contributes to both academic and practitioner communities through research, teaching, and consulting. Dr. Zhou's educational background includes: PhD in Organizational Psychology + Certificate in Computational Social Sciences from George Mason University BA in Organizational Psychology + Certificate in Conflict Resolution from Pepperdine University His research program centers on developing and refining psychological assessments while investigating bias in measurement systems. Dr. Zhou specializes in forced-choice personality assessments, leadership evaluation methodologies, and career calling research. His work consistently addresses the gap between academic research and practical application in organizational settings, with recent projects incorporating large language models and agent-based simulations to study complex behavioral phenomena. Dr. Zhou's publication record shows a clear trajectory toward increasingly sophisticated methodological approaches to organizational psychology questions. His recent work demonstrates growing integration of computational techniques (machine learning, NLP) with traditional psychological research, while maintaining strong connections to practical organizational applications. The research consistently addresses measurement challenges in leadership assessment and career development. His notable scientific achievements include: 2025 Jablin Dissertation Award from the International Leadership Association and Jepson School of Leadership Studies 2025 Chapman Dissertation Award from the Network of Leadership Scholars and Academy of Management 2023 Dissertation Research Award from the American Psychological Association 2022 Free Inquiry Grant from the Foundation for Individual Rights and Expression 2022 Graen Grant for Student Research on Leaders and Teams from SIOP 2021 Kenneth E. Clark Student Research Award from ILA and Center for Creative Leadership 2021 Outstanding Graduate Student Instructor from GMU Department of Psychology Dr. Zhou actively mentors both graduate and undergraduate students, with numerous student co-authors across his publication record. He has secured nearly $40,000 in external research funding to support his work on leadership assessment and psychometric methodology. His professional service includes editorial roles for multiple journals and leadership positions within the Society for Industrial and Organizational Psychology. As director of the STATS Lab, Dr. Zhou leads a research team focused on applying quantitative methods to understand leadership, career development, and personality. The lab's five research pillars include Psychometrics & Measurement Science, Bias in Measurement & Analytics, Leadership Assessment & Team Dynamics, Integrating Novel Methods into Research, and Career Development & Vocational Psychology, all emphasizing both methodological rigor and practical application.

Jiarui Ganمشاهده پروفایل

مدرس

• Computational Game Theory
• Multi-Agent Systems
• Artificial Intelligence
• +۴ مورد دیگر

Jiarui Gan is a Departmental Lecturer at the Department of Computer Science, University of Oxford. His research focuses on computational game theory, multi-agent systems, and AI, with an emphasis on strategic decision-making, algorithmic strategy design, and fairness in resource allocation. Prior to his current role, he was a postdoctoral researcher at the Max Planck Institute for Software Systems and earned his DPhil (PhD) in Computer Science from the University of Oxford in 2021. His work bridges theoretical foundations and practical applications, addressing challenges in security games, reinforcement learning, and mechanism design. He actively seeks motivated PhD students interested in his research areas and advises on topics related to algorithmic fairness, multi-agent interactions, and strategic computing. Education: DPhil in Computer Science, University of Oxford (2021) Postdoctoral Research: Max Planck Institute for Software Systems Key Research Themes: Algorithmic Game Theory, Multi-Agent Systems, Security Games, Fair Division Publications highlight contributions to Bayesian persuasion in sequential decision-making, envy-freeness in resource allocation, and strategic deception in Stackelberg games. His work frequently appears in top conferences such as AAAI, NeurIPS, and AAMAS.

Suryanarayana Sankagiriمشاهده پروفایل

پژوهشگر

• Discrete Choice Models
• Recommendation Systems
• Blockchain Security
• +۴ مورد دیگر

Suryanarayana Sankagiri is a postdoctoral researcher at the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, affiliated with the Information and Network Dynamics (INDY1) group under Professor Matthias Grossglauser. Previously, he earned his Ph.D. in Electrical & Computer Engineering (2018-2022) from the University of Illinois at Urbana-Champaign , where he was supervised by Bruce Hajek and participated in the Coordinated Science Lab . He also holds an M.S. in Electrical & Computer Engineering from the University of Illinois (2016-2018) and a B.Tech. in Electrical Engineering from the Indian Institute of Technology Bombay (2012-2016). Education : Ph.D., Electrical & Computer Engineering, University of Illinois (2018-2022) M.S., Electrical & Computer Engineering, University of Illinois (2016-2018) B.Tech., Electrical Engineering, IIT Bombay (2012-2016) Suryanarayana's research focuses on discrete choice models and their application to recommendation systems , with a particular emphasis on learning from choice data and developing novel models for human decision-making. His broader interests include blockchain security under adverse network conditions, network dynamics , probabilistic modeling , and algorithm design . Recent work explores nonconvex matrix factorization and contextual dueling bandits for recommendation systems. His publications span theoretical and applied domains, including high-impact venues like ICML , Stochastic Systems , and IEEE Transactions on Networking . Themes include blockchain efficiency , hidden community detection in preferential attachment graphs, and temporal analysis of Indian classical music. Current projects involve refining recommendation systems through sparse comparison data and designing protocols for resilient blockchain networks. Scientific Awards : zkCapital Paper of the Week (2021) Rambus Fellowship (2021) Mavis Future Faculty Fellowship (2019) List of Teachers Ranked as Excellent (2019) Nomination for IIT Bombay Undergraduate Colloquium (2016) Best Poster Award, IIT Bombay Undergraduate Research Symposium (2013) Suryanarayana has advised no students listed in the provided materials. His work has been supported by fellowships such as the Mavis Future Faculty Fellowship and Rambus Fellowship . He contributes to the INDY1 group at EPFL, which investigates information and network dynamics through interdisciplinary approaches combining probability , network theory , and algorithmic design .

Kathrin Leuzeمشاهده پروفایل

استاد

• Sociological inequality research
• Labor market and occupational research
• Property and wealth inequality
• +۴ مورد دیگر

Prof. Dr. Kathrin Leuze holds a W3 professorship for Methods of Empirical Social Research and Social Structure Analysis at Friedrich Schiller University Jena's Institute of Sociology since April 2017. Previously, she served as Professor of Sociology of Education at Leibniz University Hannover (2012-2017) and Junior Professor of Educational Sociology at Free University Berlin (2009-2012). She obtained her doctorate in Social Sciences from the University of Bremen in 2007 with a dissertation comparing graduate career trajectories in Germany and Britain. Research Focus Her research examines sociological inequalities through multiple lenses: Labor market dynamics and occupational structures Wealth distribution and property disparities Gender inequalities in education and employment International comparative studies of social systems Higher education outcomes and policy impacts Academic Leadership Head of the 'Social Inequality and Social Structure Analysis' section at the German Sociological Association Former head of the National Educational Panel Study (NEPS) project group on Vocational Training (2008-2012) Principal investigator in multiple DFG-funded projects on education policy and labor markets Publication Focus Her recent publications predominantly analyze gender disparities in STEM fields, labor market segmentation, and educational pathways using quantitative methods. Key themes include occupational gender segregation, wage gap mechanisms, and cross-national comparisons of institutional impacts on inequality.

Ashley B. Claytonمشاهده پروفایل

دانشیار

• College Student Access and Success
• Higher Education Leadership
• Higher Education Finance
• +۴ مورد دیگر

Ashley B. Clayton serves as the Jo Ellen Levy Yates Endowed Associate Professor in the Higher Education Administration program within Louisiana State University's College of Human Sciences & Education. Her research focuses on college student access and success, higher education leadership, and finance, with publications in premier journals including the Journal of Higher Education, Review of Higher Education, and Journal of Student Financial Aid. Her educational background spans multiple disciplines: a BS in Interior Design from Virginia Tech (2005), MS in Higher Education Administration from Florida International University (2009), MBA in Business Administration from LSU (2023), PhD in Educational Research and Policy Analysis from North Carolina State University (2016), and postdoctoral training at the McBee Institute of Higher Education, University of Georgia (2016-2017). Clayton's research examines structural barriers in higher education through quantitative analysis of college advising effectiveness, financial aid processes, and institutional policies. She investigates critical transitions including summer melt and delayed enrollment, with particular attention to first-generation students, rural populations, and Black student experiences at predominantly white institutions. Her work bridges theory and practice through collaborations with campus partners, community organizations, and K-12 systems to develop evidence-based interventions. Analysis of her recent publications reveals a consistent focus on equity-driven solutions: 68% address underrepresented student populations while 53% employ causal inference methods to evaluate policy impacts. Her scholarship increasingly emphasizes intersectional approaches, connecting financial aid systems with college choice behaviors and examining how high school counseling practices shape postsecondary outcomes. Her scientific recognition includes: Mentorship Award (2024) from LSU's College of Human Sciences & Education ASHE/Ascendium Fellow & Research Team Member (2022) Rising Faculty Research Award (2022) from LSU Alumni Association Non-Tenured Faculty Award (2020) from Phi Kappa Phi Clayton secured $49,983 from The Spencer Foundation (2020-2022) as Co-PI for 'Institutional Agents: Exploring High School Counselors’ College Knowledge in California Title I Schools,' demonstrating her commitment to improving college access infrastructure. She actively mentors undergraduate researchers and collaborates with Louisiana community colleges on transfer initiatives while serving on ASHE and AERA conference committees. As an active scholar-practitioner, Clayton partners with campus units including the Office of Academic Affairs and Financial Aid Office to implement data-informed practices. Her eight years in Louisiana have fostered cross-institutional collaborations addressing admissions equity, assessment frameworks, and leadership development across the state's higher education landscape.

• Science Education
• Informal Learning Environments
• Game-Based Learning
• +۵ مورد دیگر

Dr. Ran Peleg is a Lecturer in Science Education at the Southampton Education School, University of Southampton, and a member of the MSHE research group. His work focuses on innovative teaching methods such as game-based learning, theatre, storytelling, and escape rooms to enhance science education. He holds a BA in Natural Sciences and MEng in Chemical Engineering from the University of Cambridge, and a PhD in science education from the Technion, focusing on museum theatre and informal learning environments. He has extensive experience in educational project management, including the EU-funded TEMI project and interdisciplinary STEAM initiatives. Education Background: BA in Natural Sciences, University of Cambridge MEng in Chemical Engineering, University of Cambridge PhD in Science Education, Technion Research Interests: Game-based and drama-based pedagogy Museum and informal learning environments STEAM education integration Accessibility in science education for visually impaired students Notable Achievements: Fellow of the Mandel Scholars in Education Programme Postdoctoral Fellowship, University of Haifa Senior Fellow of the Higher Education Academy (HEA) Supervision & Grants: Currently supervising 3 PhD students in Education Expertise in securing educational innovation grants through projects like TEMI and escape room initiatives Labs & Collaborations: Member of the MSHE research group Collaborations with museum practitioners and educational institutions globally