جستجوی استاد راهنمای دانشگاهی

Christopher J. Vargoمشاهده پروفایل

دانشیار

• Agenda-Setting Theory
• eWOM (Electronic Word of Mouth)
• Social Media Analytics
• +۷ مورد دیگر

Christopher J. Vargo is an Associate Professor at the Leeds School of Business , University of Colorado Boulder, with appointments in Organizational Leadership and Information Analytics . He bridges computational methods with communication theory to analyze social media, advertising, and news data. His work spans disciplines like machine learning , political communication , and electronic word of mouth (eWOM) , reflecting his expertise in computational social science . His research focuses on leveraging machine learning and large language models (LLMs) for computational content analysis , particularly in new media landscapes. He has published extensively in journals such as the Journal of Communication , New Media & Society , and Journal of Interactive Advertising , with a book on machine learning applications in content analysis available via open access from CU Boulder’s Library. As an educator, Vargo teaches advertising analytics at undergraduate and graduate levels, alongside quantitative research methods for doctoral students. He also directs the CMCI/Leeds Marketing and Business Analytics partnership , aiming to enhance industry-aligned data skills among CU graduates. Vargo’s professional background includes real-world experience at Sony BMG Music, Porter Novelli, and Fox/DreamWorks, complemented by IT industry work . He applies this expertise through his company, socialcontext.ai , and as a technical consultant in legal cases involving digital advertising , platform analytics , and forensic data analysis .

PINAR ERTENمشاهده پروفایل

دانشیار

• Educational Technology
• Teacher Education
• Online Learning
• +۴ مورد دیگر

Assoc. Prof. Dr. Pınar Erten is an Associate Professor in the Department of Psychology at Bingöl University's Faculty of Arts and Sciences. She holds a doctorate from Fırat University's Department of Educational Sciences (Curriculum and Instruction Science Branch), a master's in Educational Sciences, and a bachelor's in Computer Education from Fırat University's Faculty of Technical Education. Her research focuses on educational technology, teacher education, digital literacy, and curriculum design. Her work includes evaluating modular teaching methods in vocational education, assessing pre-service teachers' digital competencies, and developing motivation scales for computer science education. She has authored over 20 peer-reviewed articles and presented at international conferences such as the International Educational Technology Conference and the Turkish Online Journal of Educational Technology. Prof. Erten served in the Ministry of Education from 2001-2016 as a Computer Instructor. She has contributed to the 2009 MEB LDV project and received the Ministry of Education Appreciation Certificate. Her current research emphasizes educational technology integration, lifelong learning competencies, and teacher epistemological beliefs. Education: Doctorate: Fırat University - Curriculum and Instruction Science Master's: Fırat University - Educational Sciences Bachelor's: Fırat University - Computer Education Research Trends: Recent articles (2016-2014) focus on pre-service teachers' digital literacy, online collaborative learning attitudes, and TPACK self-efficacy assessments. Earlier studies (2010-2005) explored modular teaching effectiveness and educators' computer usage patterns in vocational schools. Her work bridges educational theory with practical implementation through instrument development (motivation scales) and regional case studies. Awards: Milli Eğitim Müdürlüğü Teşekkür Belgesi (2016) Grants & Projects: Contributed to 2009 MEB LDV Project Lab/Team Affiliations: No specific lab mentioned, but collaborates with researchers like İ. Y. Kazu and M. N. Gömleksiz on educational technology topics.

Melvyn Weeksمشاهده پروفایل

مدرس ارشد

• Microeconometrics
• Causal Inference
• Machine Learning
• +۳ مورد دیگر

Dr Melvyn Weeks serves as a University Senior Lecturer, Director of Teaching, and Director of Undergraduate Studies at the Faculty of Economics, University of Cambridge. His academic leadership spans curriculum development and student supervision within one of the world's leading economics departments. Specializing in Microeconometrics , Causal Inference , and Machine Learning , Weeks' research bridges advanced statistical methodology with real-world economic applications. His work prominently features in energy economics (analyzing consumer behavior in prepayment energy systems), development economics (examining microcredit impacts and religious institution effects in India), and economic growth theory (addressing model uncertainty in convergence clubs). Publication trends reveal a consistent integration of machine learning techniques with traditional econometric frameworks, particularly in causal tree estimation for heterogeneous treatment effects and robust model averaging approaches. His recent work demonstrates growing emphasis on machine learning applications in economics , causal inference methodologies , and distributional analysis across diverse economic contexts. As a doctoral supervisor, Weeks mentors PhD candidates including Christian Tien (focusing on causal inference and machine learning applications) and Cheuk Fai Ng (specializing in cluster-robust inference for high-dimensional regression). His teaching portfolio spans foundational statistical inference through advanced topics including machine learning in economics, causal inference, and research computing. Based at Clare College with office in Room 60, Weeks maintains active research collaboration through the Faculty of Economics' Econometrics Research Group, contributing to Cambridge's reputation in quantitative economic analysis.

Susan Landمشاهده پروفایل

استاد

• Learning Sciences
• Educational Technology
• Instructional Design
• +۷ مورد دیگر

Susan Land is a Professor of Education and the Associate Dean of Undergraduate and Graduate Education in the Learning, Design, and Technology Program at Penn State University's College of Education. She also serves as the Head of the Department of Learning & Performance Systems. Dr. Land earned her doctorate in Instructional Systems from The Florida State University under Dr. Michael Hannafin. Prior to Penn State, she was a postdoctoral fellow at the University of Georgia's Learning and Performance Support Laboratory and faculty at the University of Oklahoma's Instructional Psychology and Technology Program. Earlier, she worked on instructional design projects with the U.S. Air Force Academy, Citibank, and Hewlett Packard. Her research emphasizes frameworks for technology-enhanced learning environments, particularly focusing on how learners meaningfully engage with technology in student-centered contexts. She has published over 60 manuscripts and co-edited two editions of Theoretical Foundations of Learning Environments with Dr. David Jonassen, which has been reprinted repeatedly, translated into Korean, and achieved notable sales in the Instructional Technology field. Her recent publications demonstrate a clear trajectory toward mobile, context-sensitive learning in outdoor environments using proximity-based technologies like iBeacons. These studies examine children's scientific observations in arboretums, sense-making conversations in botanical gardens, and knowledge sharing in online affinity spaces, revealing patterns in how technology mediates learning experiences across different contexts. Young Scholar Award from Association for Educational Computing and Technology (AECT) Outstanding Article of the Year Award from AECT 2015 SIG-IT Best Paper Award from American Educational Research Association (AERA) Top 10 most-published/frequently-cited authors in Educational Technology Research & Development College of Education 2016 Outstanding Teaching Award Dr. Land advises graduate students and collaborates extensively with researchers including Heather Zimmerman, Priya Sharma, and Chris Millet. Her NSF-funded research with Zimmerman examines how proximity-based computing supports children's scientific sense-making in outdoor environments. She leads the Augmented and Mobile Learning Research Group, which investigates context-sensitive, place-based learning using mobile technologies and augmented reality. Her research has been supported by multiple grants from the National Science Foundation (NSF), Institute of Museum and Library Services (IMLS), and Penn State's Center for Online Innovation in Learning (COIL). Current projects include developing the Penn State Places platform for creating iBeacon-triggered content in public spaces, with applications in arboretums, children's gardens, and community engagement initiatives.

Anne Remkeمشاهده پروفایل

استاد

• Dependability
• Security
• Critical Infrastructures
• +۵ مورد دیگر

Professor Anne Remke leads the safety-critical systems group at the Faculty of Mathematics and Computer Science at Westfälische Wilhelms-Universität Münster since October 2014. She is also affiliated with the Design and Analysis of Communication Systems group at the University of Twente, where she served as assistant professor from June 2010 and became associate professor in March 2016. Her research focuses on dependability and security in critical infrastructures, particularly electrical power systems and telecommunication networks. Her educational background includes a PhD (2008) and MSc (2004) in Computer Science from the University of Twente and RWTH Aachen respectively. Her doctoral research focused on 'Model Checking Structured Infinite Markov Chains,' for which she publicly defended her thesis in June 2008. Professor Remke's research interests center on cyber-physical systems, with particular focus on evaluation of charging strategies for local energy storage in smart homes and security of control networks (SCADA) in smart grids. Her work bridges theoretical model checking techniques with practical applications in critical infrastructure protection. She has made significant contributions to the analysis of hybrid Petri nets, stochastic models, and the development of tools for dependability evaluation. Her recent publications demonstrate a strong trend toward integrating machine learning with formal verification methods for cyber-physical systems. The research spans stochastic hybrid systems, reachability analysis, and security evaluation of smart grid infrastructures, showing consistent growth in both theoretical foundations and practical applications of dependability analysis. Veni award from Dutch Science foundation (NWO) for 'Counting on a reliable water supply' GI/ITG MMB prize for best diploma thesis in computer and communication systems Best Paper Award at Valuetools 2023 conference Best Repeatability and Artifact Evaluation Award at QEST21 Teaching award from Fachschaft FB10 (2019) Professor Remke has successfully secured multiple research grants including the DFG project 'RealyST: Reachability Analysis for Stochastic Hybrid Systems' in collaboration with RWTH Aachen. She has supervised numerous students including Katharina Sichma, Pauline Blohm, Joanna Delicaris, Verena Menzel, Mathis Niehage, Jonas Stübbe, and Lisa Willemsen. Her research group actively participates in international collaborations and standardization efforts in critical infrastructure security. The safety-critical systems group maintains several research tools including HYPEG (for simulation and analysis of hybrid Petri nets), TimeNET (a GUI for modeling hybrid Petri nets), and a Smart Neighbourhood Simulation Tool for community energy storage and trading. These tools support their research in modeling and evaluating complex critical infrastructures through both analytical methods and simulation techniques.

Rolando Coto Solanoمشاهده پروفایل

استادیار

• Natural Language Processing for Indigenous and Under-Resourced Languages
• Speech Recognition
• Tonal Phonetics and Phonology
• +۶ مورد دیگر

Rolando Coto Solano is an Assistant Professor of Linguistics at Dartmouth College , with an Adjunct Assistant Professor appointment in Computer Science and an Affiliate Professor role in the Quantitative Social Science Program (QSS) . He focuses on creating computational tools to document and revitalize Indigenous languages like Cook Islands Māori and Bribri. Education : PhD and MA in Linguistics from the University of Arizona; BA in Computer Science from the University of Costa Rica. Research Interests include: Natural Language Processing for Indigenous and Under-Resourced Languages Tonal Phonetics and Phonology, with a focus on tonal reduction Sociophonetics, particularly interisland variation in Cook Islands Māori Publication Trends show expertise in automatic speech recognition (ASR) for Indigenous languages, computational sociophonetics, tonal priming, and metadata standards in academic publishing. He collaborates on tools like Universal Dependencies treebanks and the ELPIS pipeline . Scientific Awards : Fulbright Foreign Student Program (Master’s Degree) National Science Foundation (NSF) Consultant Royal Society of New Zealand Marsden Fund Ship for World Youth Program (Office of the Prime Minister of Japan)

Anna Zinnمشاهده پروفایل

پژوهشگر ارشد

• Tourism Management
• Environmental Psychology
• Social Identity Theory
• +۳ مورد دیگر

Dr. Anna Zinn is a Postdoctoral Research Fellow at the School of Business, Faculty of Business, Economics and Law, The University of Queensland, specializing in social identity applications for sustainable tourism and hospitality behavior change. Education: Doctor of Philosophy in Psychology, University of Exeter Masters (Coursework) of Research Psychology, University of Exeter Her research centers on environmental psychology and social identity theory , with pioneering work on reducing buffet waste, promoting towel reuse through anthropomorphism, and optimizing hotel sustainability practices. She employs computational-linguistic methods, experimental designs, and field studies to develop practical interventions that balance environmental goals with guest satisfaction in tourism contexts. Analysis of her 14 publications (2021-2025) reveals a consistent trajectory toward interdisciplinary solutions for sustainable tourism, integrating psychology, hospitality management, and environmental science. Key trends include leveraging social identity salience for pro-environmental behavior, refining pre-testing protocols for field interventions, and addressing implementation challenges in real-world hospitality settings. Dr. Zinn actively collaborates with Professor Sara Dolnicar's research group and has served as Principal Advisor for one PhD project ('Using Gamification to Inspire Sustainable Tourist Behaviour') and Associate Advisor for three others. Current funding includes an ARC Discovery Project (2025-2028) on behavior change mechanisms and an Energy Queensland grant (2024-2025) for electricity usage segmentation.

Tomás Rottaمشاهده پروفایل

مدرس ارشد

• Political Economy
• Value Theory
• Input-Output Analysis
• +۹ مورد دیگر

Tomás Rotta is a Senior Lecturer and Programme Director of Economics in the Institute of Management Studies at Goldsmiths, University of London. He is a member of the Structural Economic Analysis Research Unit and serves on the management committee of the Association for Heterodox Economics. Education: Post-graduate certificate in higher education (HEA fellow), 2015 PhD in Economics, University of Massachusetts Amherst, USA, 2014 MA in Economics, University of Massachusetts Amherst, USA, 2010 MSc in Economic Development, University of São Paulo, Brazil, 2008 BSc in Business Management, University of São Paulo, Brazil, 2004 Tomás’ research focuses on Political Economy, value theory, and input-output analysis. He investigates economic growth and distribution, the impact of intellectual monopoly on digital assets and the knowledge economy, and computational/quantitative methods in contemporary issues. His work often integrates Marxian theory with empirical modeling using R and Python. Recent publications analyze global value chains, income inequality in the United States, and comparative economic exploitation across 43 countries. These studies employ quantitative frameworks to explore how information rents and intellectual monopoly affect value creation, distribution, and productivity. Tomás’ affiliations include the Structural Economic Analysis Research Unit and the Association for Heterodox Economics. He teaches Advanced Econometrics, Econometrics, and Applied Quantitative Economics at postgraduate and undergraduate levels.

• Molecular genetics
• Behavioral genetics
• Learning and memory
• +۳ مورد دیگر

Christopher Jones is a Professor of Biology at Moravian University. He has been affiliated with the institution since 1999, where he teaches courses in molecular biology and genomics. Jones is actively involved in the Genome Consortium for Active Teaching (GCAT) and the Genomics Education Partnership (GEP), integrating advanced genomic research into undergraduate education through initiatives like DNA microarray analysis and collaborative annotation of Drosophila genomic data. B.A. in Biology and Russian, Haverford College M.Phil. in Molecular Biophysics & Biochemistry, Yale University Ph.D. in Molecular Biophysics & Biochemistry, Yale University His research focuses on molecular genetics , particularly the genetic basis of learning and memory in Drosophila melanogaster . Earlier work explored bacterial flagellar assembly, including studies on Salmonella typhimurium as a postdoctoral fellow at Cold Spring Harbor Laboratory. Jones' work spans neurological research (Alzheimer's disease via presenilin gene analysis), genomics pedagogy, and evolutionary biology. Key article trends include genomics education (2014-2020), Drosophila memory mechanisms (1997-2007), and foundational bacterial motility studies (1985-1992). His work with GEP and GCAT demonstrates commitment to course-based undergraduate research experiences (CUREs). Scientific Awards : NIH Postdoctoral Fellow Henry Wendt Neuroscience Fellow Jones mentors students through research collaborations, with Moravian undergraduates appearing as co-authors on publications. He contributes to genomics education through curriculum development and national partnerships. His laboratory work historically focused on bacterial flagellar complexes and Drosophila neurogenetics.

Freda B. Lynnمشاهده پروفایل

استاد

• Social Stratification
• Status and Hierarchy
• Cumulative Advantage
• +۷ مورد دیگر

Freda B. Lynn is Professor of Sociology at the University of Iowa, affiliated with the College of Liberal Arts and Sciences. Her research focuses on status, stratification, and social networks, employing quantitative and computational methods. She teaches courses in quantitative methods, social stratification, and network analysis. Research Interests: Her work centers on how status hierarchies are formed and maintained, especially through educational background, occupational valuation, and early socialization. She investigates the mechanisms of cumulative advantage and how group perceptions shape social inequality. Using experimental, survey, and network-based approaches, she contributes to analytical sociology and the sociology of organizations. Publication Trends: Her recent publications (2017–2024) reveal a consistent focus on the social construction of occupational value, intersectional agreement in status judgments, and the structural architecture of status systems. These works appear in leading journals such as American Sociological Review , Social Forces , and Social Psychology Quarterly , reflecting her influence in social psychology and stratification research. Scientific Awards: Collegiate Teaching Award, College of Liberal Arts and Sciences (2018) Hubbard-Walder Award for Excellence in Teaching, University of Iowa (2022) Advising and Grants: Professor Lynn has secured research funding from the National Science Foundation. While specific advisees are not listed, she is actively involved in graduate education and supervises research in sociology. She contributes to academic service through editorial boards and participation in research centers. Labs and Teams: She is associated with the Center for the Study of Group Processes, a key research hub for social psychological sociology at the University of Iowa. This center supports collaborative research on group dynamics, status, and social influence.

Runar Hilleren Lieمشاهده پروفایل

پژوهشگر ارشد

• International Investment Law
• Computational Legal Studies
• International Economic Law
• +۷ مورد دیگر

Runar Hilleren Lie is a Postdoctoral Research Fellow at the Department of Public and International Law, Faculty of Law, University of Oslo. He is actively engaged in interdisciplinary research at the intersection of law, technology, and international relations, contributing to major projects such as COPIID, NoRDASIL, and CLEANUP. His research interests span International Investment Law , Computational Legal Studies , International Economic Law , Energy Law , and Legal Technology . He employs data-driven and computational methodologies to analyze legal texts, arbitrator behavior, treaty development, and institutional dynamics in international dispute settlement. The most recent publications reveal a strong trend toward empirical and computational analysis of international investment law, particularly focusing on influence networks, authorship prediction, compliance politics, and the evolving role of legal actors in arbitration. His work bridges traditional legal scholarship with cutting-edge data science techniques. He teaches JUS5080 – Programming for Lawyers and JUS5671 – Legal Technology: Artificial Intelligence and Law , reflecting his commitment to integrating technological literacy into legal education. Email: r.h.lie@jus.uio.no, rhlie@jus.uio.no Phone: +47 22859431 Visiting Address: Domus Juridica, 7th floor, Kristian Augusts gate 17, 0164 Oslo Postal Address: Postboks 6706 St. Olavs plass, 0130 Oslo He is affiliated with the Law and Technology (JOT) research group and the Research Group on International Law . His current research projects include: COPIID : Compliance Politics and International Investment Disputes NoRDASIL : Advancing Data Science in Migration Law (NORDFORSK) CLEANUP : Machine Learning for the Anonymisation of Unstructured Personal Data (Research Council of Norway, 2020–2023)

Christine Bauerمشاهده پروفایل

استاد

• Interactive Intelligent Systems
• Recommender Systems
• Human-Computer Interaction
• +۹ مورد دیگر

Christine Bauer is a Professor of Interactive Intelligent Systems at the Department of Artificial Intelligence and Human Interfaces (AIHI), University of Salzburg, Austria. She is also Co-Lead of the interdisciplinary focus area InterMediation. Music—Effect—Analysis at the inter-university organization Wissenschaft & Kunst. Her research lies at the intersection of artificial intelligence, human-computer interaction, and human-centered computing, with a strong emphasis on fairness, context-awareness, and multi-method evaluation in recommender systems. Doctoral degree in Social and Economic Sciences (Business Informatics), 2009, University of Vienna MSc in Business Informatics, 2011, TU Wien Diploma in International Business Administration, 2002, University of Vienna Study of Jazz Saxophone, Konservatorium der Stadt Wien Her research interests center on interactive intelligent systems , particularly recommender systems in music and media, with a human-centered approach. She investigates how technology can align with societal and individual needs, focusing on fairness in algorithms , culture-aware recommendation , and multi-stakeholder evaluation . Her work often integrates interdisciplinary methods and real-world impact. The recent publications highlight a consistent trend in fairness and diversity in music and news recommendation, cross-cultural user behavior , and evaluation frameworks . Her research bridges technical rigor with ethical considerations, particularly in algorithmic bias and artist equity. She has made significant contributions to understanding gender imbalance , cultural granularity , and user conformity in digital music ecosystems. Elise Richter laureate (FWF) 6 best paper awards, 5 nominations Women in RecSys Journal Paper of the Year Award (2023, 2024) 5 awards and 6 recognitions for reviewing excellence Christine Bauer has supervised over 70 theses and taught at 17 institutions worldwide. She is deeply involved in academic service, including editorial roles (AE at TOIS, TORS, JITT), conference organization (RecSys, CHI, CIKM), and mentoring initiatives (WiMIR, LEA, Allyship at CHI). She leads impactful projects such as FairRecKit and SpART: Spotlight on Artists in Recommender Systems , aiming to create more equitable and transparent recommendation technologies. She frequently engages in public outreach through keynotes, media appearances, and policy discussions. She is affiliated with the University of Salzburg as her primary institution and was previously associated with JKU Linz and the University of Klagenfurt. Her labs and research teams focus on interactive intelligent systems , music recommenders , and fair AI , often in collaboration with interdisciplinary partners in arts and social sciences.

Lauren Margulieuxمشاهده پروفایل

دانشیار

• Computer Science Education
• Instructional Design
• Computational Literacy
• +۳ مورد دیگر

Lauren Margulieux serves as Associate Professor in the Department of Learning Sciences within Georgia State University's College of Education & Human Development. She founded and directs the Snap Inc. Center for Computer & Teacher Education, where she coordinates statewide teacher preparation programs to integrate computing across all disciplines. Her academic credentials include a Ph.D. and M.S. in Engineering Psychology from Georgia Institute of Technology and a B.A. in Psychology from Southwestern University. Her research focuses on computer science education for programming novices, computational literacy development, and instructional design for teacher training. Key initiatives include creating Georgia's computer science endorsement program for in-service teachers and developing models for computational thinking integration in K-12 education. Her work bridges cognitive science principles with practical classroom applications, particularly examining spatial skills, failure resilience, and self-efficacy in programming contexts. Current scholarly trends reveal deep engagement with generative AI integration in teacher education, computational activity design across disciplines, and neurocognitive aspects of learning from failure. Her publications consistently address equity in computer science pathways while developing robust assessment instruments for programming self-efficacy and spatial ability impacts. Margulieux leads significant outreach through the Snap Inc. Center, establishing partnerships with school districts to broaden participation in computer science education. Her work emphasizes practical implementation frameworks for teacher educators and develops resources for urban school contexts, particularly focusing on marginalized student populations. The center serves as both research hub and professional development engine for Georgia's teaching workforce.

• Artificial Intelligence
• Explainable AI (XAI)
• Green AI
• +۱۲ مورد دیگر

Dr Andrew Starkey is a Reader in the School of Engineering at the University of Aberdeen, where he also completed his PhD in 2001. He holds an Honours degree in Applied Mathematics from the University of St Andrews. He is actively involved in research and currently accepting PhD students in Engineering. His work bridges academia and industry, with a focus on AI applications in engineering, bioinformatics, and geosciences. University: University of Aberdeen School: School of Engineering Academic Rank: Reader Email: a.starkey@abdn.ac.uk Phone: +44 (0)1224 272801 Dr Starkey's research centers on Explainable AI (XAI) , Green AI , and Autonomous AI , with applications in robotics, econometrics, bioinformatics, seismic data analysis, and virtual reality. He has developed novel methods for feature selection, autonomous learning, and knowledge abstraction from agent-environment interactions. His work emphasizes low computational cost and transparency in AI systems. The most recent publications reflect a strong trend in applying AI to complex real-world problems, including digital rock technology, robotic grasping, real-time event detection, and medical data analysis. His interdisciplinary research combines machine learning with domain-specific knowledge in engineering and life sciences, often resulting in practical, industry-ready solutions. Millennium Product Award John Logie Baird Award for Innovation Enterprise Fellowship from Royal Society of Edinburgh and Scottish Enterprise Dr Starkey has supervised multiple research projects and secured funding from major bodies including EPSRC, BBSRC, and industry partners. His past work on the GRANIT project led to the development of AI-based condition monitoring for ground anchorages, resulting in commercialization through BlueFlow Ltd. He has collaborated with researchers across disciplines, including Dr Alasdair MacKenzie (bioinformatics), Dr Anne Schwab (seismic analysis), and Dr David Hazlerigg (genomics). He leads research in AI-driven engineering solutions and is the CEO of BlueFlow Ltd, a spinout company commercializing AI technologies developed at the University of Aberdeen. His lab focuses on developing autonomous, explainable, and environmentally sustainable AI systems for real-world deployment.

• Real Estate Economics
• Housing Economics
• Urban Economics
• +۸ مورد دیگر

Rainer Schulz is a Senior Lecturer at the Business School of the University of Aberdeen, where he conducts research and teaches in real estate economics, housing markets, and financial economics. He is actively accepting PhD students and supervises research in real estate. His affiliations include the Gillmore Centre for Financial Technology at Warwick Business School and the Berlin Center for AI Research in Economics and Management. Research Interests: Dr. Schulz's research focuses on urban real estate markets using econometric and machine learning methods. Key areas include automated valuation modelling (AVM), real estate investment vehicles, fund management, and location choice. He investigates the impact of teleworking on housing demand and the application of real options in real estate development. His work is interdisciplinary, combining urban economics, financial theory, and data science. Publication Trends: His recent publications (2022–2024) emphasize the effects of teleworking on housing markets, machine learning applications in real estate, and local housing market information systems. Earlier works focus on land value mapping, hurdle rates in investment, and the relationship between house prices and macroeconomic variables. His research consistently applies advanced quantitative techniques to real-world property market problems. Scientific Awards: Poster award for Semiparametric Estimation of Land Values, 2015 Aareal Award of Excellence in Real Estate Research, 2012 ARES Foundation Award, 2006 Deutsche Immobilien Akademie Research Prize for doctoral thesis, 2003 Advising and Grants: Dr. Schulz is currently accepting PhD students in Real Estate. He leads the compilation of the Aberdeen Housing Market Report, a knowledge exchange project with the Aberdeen Street Property Company (ASPC). While specific grants are not listed, his research is supported through institutional collaborations and publications in high-impact journals. Labs and Teams: He is affiliated with the Centre for Real Estate Research at the University of Aberdeen Business School. He collaborates with researchers at Humboldt University (Berlin) and participates in international research networks such as the Berlin Center for AI Research. His work involves interdisciplinary teams focusing on urban data, housing policy, and financial technology.