جست‌وجوی استاد و پژوهشگر

J. Daniel Kimمشاهده پروفایل

استادیار

• Entrepreneurship
• Startup Scaling
• Strategic Human Capital
• +۴ مورد دیگر

J. Daniel Kim is an Assistant Professor of Management at the Wharton School, University of Pennsylvania, where he teaches MBA and PhD courses on entrepreneurship and innovation. His research focuses on high-growth entrepreneurship, venture scaling, strategic human capital, mergers and acquisitions, innovation, and labor markets. PhD - MIT Sloan School of Management BA - Dartmouth College His research explores: Startup hiring challenges and firm-driven search strategies Timing and risks of venture scaling Post-acquisition employee retention patterns Founder impact on organizational change Immigrant founder contributions to entrepreneurship Key article trends show: Focus on talent dynamics in high-growth firms Analysis of organizational antecedents in acquisitions Quantitative approaches using population-level data Interdisciplinary connections between entrepreneurship, strategy, and economics Debunking myths about founder demographics Linkage between labor market mechanisms and startup performance Scientific recognition includes: Multiple Teaching Excellence Awards at Wharton (2024-2020) Best Paper Prize from Strategic Management Society (2020) Kauffman Dissertation Fellowship (2017) MIT Sloan Doctoral Thesis Prize (2019) Prof. Kim serves as an economist with the United States Census Bureau and has published in top journals including Strategic Management Journal , Organization Science , and American Economic Review: Insights . His work has been featured in The Wall Street Journal , New York Times , and Financial Times .

Andrew Gersickمشاهده پروفایل

مدرس

• Animal Behavior
• Collective Behavior
• Social Dynamics
• +۳ مورد دیگر

Andrew Gersick is a Lecturer in the Department of Ecology and Evolutionary Biology at Princeton University. His research focuses on animal behavior, particularly in large social species such as spotted hyenas, zebras, and cowbirds. He explores topics including collective behavior, social dynamics, communication systems, and ecological adaptations. His work integrates field studies with technological tools like accelerometers to analyze activity patterns and signaling mechanisms. Notably, he investigates how zebra stripes repel biting flies and how hyenas use vocalizations for individual recognition. Gersick also contributes to conservation efforts, such as the Great Grevy’s Rally in Kenya, and studies social learning in avian species like cowbirds. His recent articles highlight interdisciplinary approaches, combining ecology, physiology, and technology to understand animal behavior in natural and social contexts. While no awards are explicitly listed, his contributions to understanding collective behavior and conservation biology are significant. Advising and grants: No formal advisees or grant details are provided in the text. His work appears to focus on collaborative research and field-based methodologies. Labs/Teams: No specific laboratory or team affiliations are mentioned beyond his departmental role at Princeton.

• Data Linkage
• Machine Learning
• Epidemiological Study Design
• +۳ مورد دیگر

Hsei Di Law is a Research Fellow at the National Centre for Epidemiology and Population Health (NCEPH), part of the Australian National University (ANU). She is concurrently pursuing an MSc in Computational Data Analytics at the Georgia Institute of Technology . Her work focuses on data linkage, machine learning, and epidemiological study design using whole-of-population linked datasets. Research Affiliations National Centre for Epidemiology and Population Health (ANU) Centre of Epidemiology for Policy and Practice Linked Data for Better Health group Health Experience and Health Services Research collaborator Research Interests : Hsei Di Law's work centers on large-scale linked administrative datasets and longitudinal data analysis , with applications in environmental contamination (PFAS, asbestos), healthcare economics (out-of-pocket costs), and epidemiology of diseases. She specializes in integrating machine learning techniques with epidemiological study design to address policy-relevant questions. Publication Trends : Her recent publications (2025–2023) analyze healthcare affordability in Australia, PFAS environmental health impacts , and data linkage methodologies . Over 2022–2015, she studied cardiovascular risk under-treatment , COVID-19 healthcare outcomes , and immune system disorders using mouse models. Projects Led : She is involved in multiple projects, including the ACT Asbestos Health Study II , PFAS Health Study , and Whole-of-population linked data project . These projects examine the health effects of asbestos and PFAS contamination , healthcare utilization, and epidemiological modeling . Contact : Email: hsei-di.law@anu.edu.au Phone: +61 2 6125 0547 Location: Building 62A, Room 2.56, ANU

Steven Mansonمشاهده پروفایل

استاد

• Geographic Information Science
• Environmental Science
• Biocomplexity
• +۱۲ مورد دیگر

Dr. Steven Manson is a Professor in the Department of Geography, Environment, and Society at the University of Minnesota's College of Liberal Arts, where he also served as Associate Dean for Research and Graduate Programs. He directs the Human-Environment Geographic Information Science (HEGIS) laboratory and leads major data science initiatives like the National Historical Geographic Information System (NHGIS) and IPUMS Terra. PhD in Geography, Clark University (2002) BA Honours in Geography, University of Victoria (1995) His research focuses on geographic information science and human-environment systems , using agent-based modeling and big data to analyze land use change, urban dynamics, and sustainability challenges. Recent work explores spatiotemporal data harmonization and geospatial cyberinfrastructure . The articles reveal trends in GIScience methodology , urbanization analysis , and data-intensive sustainability research . Key contributions include self-organizing map applications for health data and hybrid statistical-GIS techniques for environmental policy. Scientific accolades include: Ecological Society of America Sustainability Science Award NASA Earth System Science Fellow McKnight Land Grant Professorship As Principal Investigator for NHGIS and IPUMS Terra, he secured over $40M in NSF, NIH, and DOJ grants for spatiotemporal data infrastructure. Outreach initiatives include developing open geospatial textbooks adopted globally and collaborating with Twin Cities K-12 programs.

Annie Tindleyمشاهده پروفایل

استاد

• British and Irish Rural History
• Environmental History
• Land Reform
• +۳ مورد دیگر

Annie Tindley is Professor of British and Irish Rural History and Head of the School of History, Classics and Archaeology at Newcastle University. She has held academic positions at the University of Aberdeen, Glasgow Caledonian University, and the University of Dundee. MA (2001), MSc by Research (2002), PhD (2006) in History, University of Edinburgh Annie specializes in the history and contemporary legacies of land and environmental issues, focusing on landownership (private, state, and community), land reform, and interdisciplinary approaches to rural history. Her work bridges the Scottish, Irish, British, and imperial contexts from the mid-18th to the 21st century, engaging with environmental history, historical geography, and policy impact. Annie’s recent publications emphasize interdisciplinary collaboration, linking land history to ecological studies, community decision-making, and heritage conservation. Her research integrates archival analysis with modern policy frameworks, addressing topics like river management, healthcare history, and the role of design in imperial contexts. Fellow of the Royal Historical Society Annie has secured funding from AHRC, NERC, and the Wellcome Trust for collaborative projects. She mentors early-career researchers and doctoral students, advocating for research-led teaching and innovative interdisciplinary modules. She co-edits Rural History and founded the Scotland's Land book series, while serving in leadership roles for historical and heritage organizations. Her work engages community landowners, heritage groups, and policymakers, centering historical narratives in future decision-making. She leads the AHRC-funded Connected Treescapes project and the Land Decisions network.

Nina Schwarzمشاهده پروفایل

استادیار

• Urban land-use change
• Urban ecosystem services
• Agent-based modelling
• +۷ مورد دیگر

Nina Schwarz is Assistant Professor of human-environment interactions in cities at the Department of Urban and Regional Planning and Geo-Information Management, ITC—University of Twente. Holding a Diploma in Environmental Sciences (University of Lüneburg, 2003) and a PhD in Social and Economic Sciences (University of Kassel, 2007), she spent a decade as senior scientist at the Helmholtz Centre for Environmental Research – UFZ before joining ITC. Her interdisciplinary research integrates urban land-use science, ecosystem-service evaluation and advanced modelling techniques—especially agent-based models—to explore sustainable urban development under global change. Research interests revolve around three interconnected themes: (i) urban land-use change —understanding how residential, commercial and green-space dynamics co-evolve; (ii) urban ecosystem services —quantifying both supply and demand of services such as local climate regulation, recreation and biodiversity; and (iii) behavioural modelling —formalising human decision-making to simulate policy scenarios ranging from slum-upgrading to vineyard management. She actively links these themes to UN Sustainable Development Goals, notably SDG 11 (Sustainable Cities) and SDG 15 (Life on Land). Recent publications (2022-2025) reveal a methodological breadth spanning citizen-science impact assessment in Suriname, cooling effects of urban water bodies in Chinese mega-cities, European wine-growers’ adaptive behaviour, and methodological advances in upscaling and validating agent-based land-use models. Across these studies, Schwarz consistently combines empirical field data, geospatial analytics and participatory approaches to produce policy-relevant insights for cities in both the Global North and South. She has (co-)authored >80 peer-reviewed works, accumulating c. 5 900 citations and an h-index of 28 (Scopus). While specific honours are not itemised in the supplied text, her sustained citation impact and invited contributions to major conferences (e.g., iEMSs 2020, IAHR 2025) underscore scientific recognition. Schwarz frequently engages with societal stakeholders: her projects have generated open datasets on urban green-space monitoring in Paramaribo, e-learning modules for Latin-American universities, and interactive dashboards for sustainable water management. Within ITC she contributes to capacity-building programmes for emerging economies, supervises graduate researchers and maintains active collaborations across Europe, Latin America, Africa and Asia. No explicit lists of PhD students or personal grants are provided in the current corpus, but her leadership of externally funded projects (e.g., citizen-science evaluation, vineyard decision-making database) indicates ongoing acquisition of research funding.

Michael J. Cafarellaمشاهده پروفایل

دانشیار

• Databases
• Information Extraction
• Data Integration
• +۶ مورد دیگر

Michael J. Cafarella is an Associate Professor in the Computer Science and Engineering department at the University of Michigan . His research focuses on databases, information extraction, data integration, and data mining, with applications in economics, social media analysis, and combating human trafficking. He leads the Software Systems Lab and Michigan Database Group . Scientific Awards NSF CAREER award Sloan Research Fellowship (2016) 2018 VLDB Ten-Year Best Paper award Research Impact : Cafarella co-founded the Hadoop open-source project and Lattice Data (acquired by Apple). His work on DeepDive and DARPA MEMEX was featured on 60 Minutes and in Scientific American . Funding from The Census Bureau, DARPA, Google, NSF, Yahoo!, General Electric, and Dow.

Jon Wakefieldمشاهده پروفایل

استاد

• Spatial epidemiology
• Spatial demography
• Small area estimation
• +۷ مورد دیگر

Jon Wakefield is a Professor in the Department of Biostatistics at the University of Washington's School of Public Health, with additional appointments in the Department of Statistics. He maintains affiliations with the Fred Hutchinson Cancer Research Center, the Center for Statistics and the Social Sciences, and serves on technical advisory groups for the World Health Organization and United Nations on mortality assessment, child mortality estimation, stillbirths, and pre-term births. Wakefield's research focuses on spatial epidemiology, spatial demography, and small area estimation, with particular emphasis on estimating under-5 mortality in low and medium income countries. His work integrates hierarchical models for survey data, space-time models for infectious disease data, and ecological inference methods for both infectious and non-infectious disease contexts. He has made significant contributions to understanding the links between Bayesian and frequentist statistical procedures, developing innovative methods for spatial modeling and disease burden estimation. His publication record shows a strong focus on methodological development with practical applications in global health, particularly in mortality estimation, infectious disease modeling, and demographic analysis. Recent work has addressed critical issues in pandemic response, including excess mortality estimation during the COVID-19 pandemic and seroprevalence studies. His research increasingly incorporates advanced computational methods, including Template Model Builder and integrated nested Laplace approximations for spatial modeling. Fellow, American Statistical Association (2007) Guy Medal in Bronze, Royal Statistical Society (2000) Member of the National Academies of Sciences, Engineering and Medicine Wakefield leads significant research initiatives funded by NIH/NCI and NIH/NIAID, including projects on spatio-temporal epidemiology and statistical issues in AIDS research. He has developed influential software tools including SUMMER, surveyPrev, and SAE4Health, which enable sophisticated small area estimation and spatial analysis for public health applications. His work with WHO and UN technical advisory groups demonstrates the real-world impact of his methodological contributions to global health measurement.

Thomas Lemieuxمشاهده پروفایل

استاد

• Labor Economics
• Econometrics
• Income Inequality
• +۴ مورد دیگر

Thomas Lemieux is a Professor at the Vancouver School of Economics within the Faculty of Arts at the University of British Columbia , where he has been affiliated since 1999. Previously, he taught at MIT and the Université de Montréal. Born in Quebec City, he earned his Ph.D. from Princeton University. Research Interests: His work focuses on labor economics and econometric methods , particularly analyzing earnings inequality , unionization effects , regression discontinuity designs , and educational returns . He employs advanced decomposition techniques to study wage dynamics across gender, immigration status, and sectoral divides. Scientific Awards: Fellow, Royal Society of Canada Fellow, Society of Labor Economists Research Fellow, Institute for the Study of Labor (IZA) Research Associate, National Bureau of Economic Research (NBER) Publications: He has published extensively in top journals like the Quarterly Journal of Economics , Econometrica , and Journal of Labor Economics , with recent work examining: Union wage premiums using matched employer-employee data Spillover effects of minimum wage policies Changes in task prices and occupational wages Top income dynamics in Canada Immigrant wage gaps across education sources Regression discontinuity identification challenges Canadian labor market responses to the Great Recession

Ziming Zhuمشاهده پروفایل

پژوهشگر ارشد

• Economic History
• Social Mobility
• Victorian/Edwardian England
• +۳ مورد دیگر

Ziming Zhu is an LSE Fellow in the Department of Economic History at the London School of Economics and Political Science. His research focuses on occupational mobility in Victorian and Edwardian England, utilizing linked census data to analyze intragenerational and intergenerational mobility patterns between 1851 and 1911. Education: BSc in Economic History, London School of Economics (2016–2019) MPhil in Economic and Social History, University of Cambridge (2019–2020) His research interests center on how occupational mobility unfolded across lifetimes (intragenerational) and between generations (intergenerational), with a focus on methodology to address measurement errors in mobility estimates. Key topics include regional differences in social mobility and the reliability of historical data. Research Contributions: Explored life-course mobility dynamics among Victorian men Challenged conventional mobility estimates by revealing biases in father-son socioeconomic status correlations Investigated regional variations in intergenerational mobility Affiliations & Projects: Research Assistant for the Families of England project Utilizes Integrated Census Microdata (I-CeM) for large-scale analyses

Paul Brindleyمشاهده پروفایل

مدرس ارشد

• Digital Representations of Landscape
• GIS Mapping
• Health Inequality
• +۵ مورد دیگر

Dr. Paul Brindley is a Senior Lecturer at the School of Architecture and Landscape , University of Sheffield, specializing in geospatial analysis of human-landscape interactions. His work combines GIS, statistics, and digital data to address urban greenspace equity, rural-urban classification, and health-environment linkages. Senior Lecturer in GIS and Spatial Analysis Key researcher in the NERC-funded Improving Wellbeing through Urban Nature (IWUN) project Co-author of official Rural-Urban Classification for England and Wales Research focuses on: Urban Greenspace Accessibility using GPS and social media data Health Inequality Mapping through epidemiological GIS studies Vague Geographic Objects modeling of subjective spatial boundaries Computational Neighborhood Mapping via web data mining Project leadership includes: 2016-2019: IWUN Work Package 1 (Sheffield health-green space analysis) 2013-2014: Rural-Urban Classification updates for 2011 Census 2015: Real-Time Bus Data Mapping system development Teaching modules: LSC119: The Changing Landscape LSC336: Landscape Planning Toolkits LSC5020: Rural Landscape Planning GIS Workshops Professional contributions: Co-developer of Crime Map Analyst toolkit for non-GIS experts Joint Director of Learning and Teaching Links Member of Creative Spatial Practices initiative

• Regional Geography
• Tourism Geography
• Demographic Geography
• +۲ مورد دیگر

Gordana Jovanović is a Full Professor at the Department of Geography, Tourism and Hospitality within the Faculty of Sciences and Mathematics at the University of Novi Sad, Serbia. She has held this position since 2015 after progressing through academic ranks from Assistant (1985-2001) to Doctoral Professor (2001-2006) and Associate Professor (2006-2015). Her educational background includes a Diploma thesis (1984), Master's thesis (1992), and Doctoral dissertation (2001), all completed at the Department of Geography, Tourism and Hotel Management, Faculty of Philosophy, University of Novi Sad. Her doctoral work focused on the Vojvodina Danube Region. Professor Jovanović specializes in Regional Geography with concentrated expertise in Tourism Geography and Demographic Geography. Her research examines regional development patterns, spatial planning for tourism infrastructure, demographic shifts in Vojvodina's ethnic communities, and environmental geography of river basins. She integrates geographical analysis with practical tourism development strategies. Analysis of her recent publications reveals consistent focus on Vojvodina's regional geography, particularly tourism potential in Danube areas and demographic challenges in border regions. Her work frequently addresses ethnic minority populations in Serbia and extends to international contexts including Morocco and Tunisia, demonstrating methodological approaches to tourist regionalization and spatial planning. She has actively participated in major research projects including 'Geographical aspects of the state and direction of development of Serbia (Vojvodina)' (2001-2005), 'Demographic Transitions in Serbia' (2006-2010), 'Development of a Concept for the Revitalization of Depopulated Border Areas of Banat' (2008-2009), and 'Population and settlements of Vojvodina', all funded by Serbian national and provincial research bodies. As an active member of the Serbian Geographical Society and VGD Branch, Professor Jovanović contributes to academic discourse through conference participation including Geotrends, CTTH, and Danube research conferences. Her international collaborations span Romanian, Bulgarian, Hungarian, and Serbian geographical institutions with emphasis on cross-border cooperation in the Danube basin.

Leah Boustanمشاهده پروفایل

استاد

• Economic History
• Labor Economics
• Migration Studies
• +۷ مورد دیگر

Leah Boustan is a Professor of Economics and Director of the Economic History Program at Yale University. She is a research associate at the National Bureau of Economic Research (NBER), where she co-directs the Development of the American Economy Program, and serves as co-editor of the American Economic Journal: Applied Economics . Her research lies at the intersection of economic history and labor economics, with a focus on migration, intergenerational mobility, and racial economic disparities. She employs large-scale historical datasets, particularly digitized U.S. census records, to study long-term economic trends. Her work has demonstrated that children of immigrants consistently achieve higher economic mobility than children of the U.S.-born, and that immigrants assimilate culturally and economically at rates comparable across historical periods. The themes in her recent publications reflect a strong emphasis on empirical methods, historical data linkage, and policy-relevant findings. Her research spans topics such as immigrant incarceration, enclave effects, occupational assimilation, and the economic impacts of the Great Black Migration. She has also contributed to understanding political discourse on immigration through textual analysis of congressional speeches. Alfred P. Sloan Research Fellowship (2012) IZA Young Labor Economist Award (2019) Fellow of the Econometric Society (2022) Fellow of the Society of Labor Economists (2024) Allan Sharlin Memorial Book Award Alice Hanson Jones Award Boustan has advised major research initiatives such as the Census Linking Project, which enables longitudinal analysis of historical U.S. census data. She has not publicly listed formal PhD or Master’s students in the provided materials. Her work is supported by prestigious fellowships and institutional affiliations, and she plays a key role in shaping research agendas in urban economics and economic history through editorial leadership. She is affiliated with interdisciplinary research teams focused on digitizing and analyzing historical records, and her collaborations with scholars like Ran Abramitzky have produced influential books and policy insights. Future work is likely to expand on big data applications in economic history and intergenerational inequality.

Krish Muralidharمشاهده پروفایل

استاد

• Data Privacy
• Statistical Disclosure Limitation
• Database Security
• +۳ مورد دیگر

Krish Muralidhar is the Baldwin Chair and Professor of Marketing & Supply Chain Management at the University of Oklahoma's Price College of Business. He holds a Ph.D. from Texas A&M University, an MBA from Sam Houston State University, and a B.Sc. from the University of Madras, India. His research centers on data privacy , developing techniques for secure data analysis, sharing, and dissemination. Key areas include statistical disclosure limitation, differential privacy, database reconstruction risks, and perturbation methods. He patented the Data Shuffling technique for secure data release. Recent publications (2022–2025) focus on census data privacy, reidentification vulnerabilities, and critiques of differential privacy in machine learning. Trends highlight rigorous evaluations of privacy risks in statistical databases and policy-relevant solutions. Awards: Distinguished Doctoral Alumni Award (Texas A&M, 2006) Teaching Incentive Program Award (1994) Excellence in Research Award (1995) Best Inter-disciplinary Paper Award (2002) Best Paper Award (2005) No advising, grant, lab, or team details were provided.

Anika Großمشاهده پروفایل

استاد

• Database Systems
• Knowledge Graphs
• Ontologies
• +۷ مورد دیگر

Prof. Anika Groß is a Professor for Database Systems and Programming at the Department of Computer Science and Languages at Anhalt University of Applied Sciences in Köthen, Germany. She holds a PhD from the University of Leipzig (2014) and has held roles as a PostDoc in strategic research at Daimler AG and as a research assistant at the Interdisciplinary Centre for Bioinformatics (IZBI). She is actively involved in academic governance, serving on the faculty council, board of examiners, and various sustainability and research data management committees. Her research focuses on database systems, knowledge graphs, and ontology engineering, with applications in environmental science, medicine, and material sciences. Education - PhD (Dr. rer. nat.) in Computer Science, University of Leipzig (2014) - Diploma in Bioinformatics, MLU Halle-Wittenberg (2007) - Postdoctoral research at University of Leipzig's Database Group (2008–2013) Research Interests Her work emphasizes temporal graphs, ontology evolution, and semantic data integration. She develops tools like Region Evolution eXplorer (REX) and contributes to projects such as AgriRestore (ecosystem restoration) and MeineWaldKI (AI-based forest monitoring). Her recent focus includes wearable device applications in healthcare and digital twins for lithium value chains. Recent Research Trends Recent publications highlight interdisciplinary applications of knowledge graphs in agriculture and environmental science, leveraging temporal analysis and machine learning for tasks like chemical transformation prediction and bladder monitoring. She also explores cross-lingual semantic annotations in medical forms and holistic clustering of linked data. Professional Roles - Executive Committee Member, GI Database Systems Group - Fellow, Institute for Technologies and Economics of Lithium (ITEL) - Co-Chair of multiple workshops including FGDB-Workshop @ LWDA 2018 and BigDS@BTW 2017 Labs & Collaborations She leads research teams in projects funded by DFG, European Union (EFRE), and ITEL, collaborating with organizations like Daimler AG and ANU. Her lab focuses on advancing database systems and interdisciplinary data science applications.