جست‌وجوی استاد و پژوهشگر

Rubia Valenteمشاهده پروفایل

دانشیار

• Quantitative Policy Analysis
• Urban Studies
• Happiness Studies
• +۴ مورد دیگر

Rubia Valente is an Associate Professor at the Marxe School of Public and International Affairs, Baruch College (CUNY), with a research focus on applying advanced quantitative methods to analyze socioeconomic inequalities and policy impacts on marginalized groups. Her expertise spans Urban Studies , Happiness Studies , Race/Ethnicity , and Social Indicators , with regional emphasis on Latin America and Brazil . She earned her Ph.D. in Public Policy and Political Economy from The University of Texas at Dallas and has held post-doctoral and visiting roles at UT Dallas and Princeton University. Her grants include PSC-CUNY awards for urban-rural happiness gradients and skin tone measurement in Brazil. Scientific Awards : Dean's Research Award (2024), Washington Brazil Office Fellow (2022), Presidential Excellence Award for Distinguished Teaching (2021), NSF Summer Course Grant (2017), and multiple teaching honors. Service : Co-Director for Baruch's Quantitative Methods Certificate Program, BRASA Executive Committee member, and facilitator for Urban Affairs Association workshops. Research Trends : Her work bridges quantitative policy analysis with subjective well-being , examining how race , class , and gender intersect with access to education, housing, and political participation. Recent projects explore urbanization effects and generational happiness patterns . Rubia is currently on sabbatical (2025) and maintains active roles in editorial work, conference organization, and public scholarship through podcasts and media contributions.

Jiaying Liمشاهده پروفایل

پژوهشگر ارشد

• Wastewater-based Epidemiology
• Contaminants of Emerging Concern
• Integrated Urban Water Systems
• +۶ مورد دیگر

Dr Jiaying Li is a Research Fellow (Lecturer) at the School of Civil Engineering, Faculty of Engineering, University of Sydney (USYD). She holds an adjunct position at the Queensland Alliance for Environmental Health Sciences (QAEHS) at The University of Queensland (UQ), maintaining collaborative ties with her former institution. PhD in Environmental Engineering from UQ's ACWEB (2020) Postdoctoral Research Fellow at QAEHS-UQ (2020-2024) Sydney Horizon Fellow (2024-present) Her research focuses on wastewater-based epidemiology (WBE) for monitoring pharmaceuticals, contaminants of emerging concern (CECs), and viral pathogens. She specializes in: Urban sewer network source tracking Biotransformation processes Wastewater engineering Multivariable data analysis She contributes to multidisciplinary projects addressing water security and public health through: PFAS and plastic measurement research Trade waste contamination prevention Spatiotemporal drug consumption modeling 2021 Australian Census wastewater analysis Her scientific achievements include: ARC Linkage Project participation Sydney Horizon Fellowship

Pierre Deschampsمشاهده پروفایل

استادیار

• Labour Economics
• Discrimination
• Urban Economics
• +۳ مورد دیگر

Pierre Deschamps is an Assistant Professor at the Swedish Institute for Social Research (SOFI) at Stockholm University since September 2019, with a brief parental leave from August 2023 to February 2024. His research is centered within the Labour Economics (AME) research group, which examines labor market outcomes, education, health, taxes, income transfers, politics, crime, and gender equality. Education: PhD in Economics from Sciences-Po (2013-2018), dissertation on 'Discrimination and Public Policy' Visiting Research Student at UC Berkeley under Emmanuel Saez (2016) M.Sc in Economics and Public Policy from Ecole Polytechnique, Sciences-Po, ENSAE (2011-2013) Bachelor's degree from Sciences-Po (2008-2010) Visiting Student at Washington University in Saint Louis (2010-2011) Deschamps specializes in Labour Economics with particular focus on discrimination, urban economics, and gender equality. His research investigates how labor market policies, institutional structures, and social dynamics affect economic outcomes across different demographic groups. He employs both theoretical models and empirical analysis to examine issues ranging from gender representation in hiring committees to racial discrimination in labor markets and migration patterns influenced by ethnic composition. His recent publications reveal a strong focus on labor market dynamics, gender issues, and discrimination. The work demonstrates methodological diversity, employing difference-in-differences designs, equilibrium search models, and general equilibrium frameworks. A recurring theme is examining how policy interventions affect economic outcomes across different demographic groups, particularly regarding gender and race. Scientific Recognition: 2013 Best Master's thesis award from Sciences Po for 'High-Skilled Labour and Public Policy: The Bosman Ruling' Research Funding: Multiple grants from Vetenskapsradet, Jan Wallanders och Tom Hedelius stiftelse, Tore Browaldhs stiftelse, and Stiftelsen Riksbankens Jubileumsfond (2020-2024) Research grant from Defenseur des droits (2020) LIEPP research funding for 'Labor mobility and racial discrimination' (2013-2014) Sciences Po doctoral funding (2013-2018) As a member of the Labour Economics (AME) research group at SOFI, Deschamps contributes to one of the broadest research units in labor economics, which studies not only traditional labor market outcomes but also education, health, taxation, political economy, crime, and gender issues, reflecting the interdisciplinary nature of contemporary labor economics research.

Justin Kirkpatrickمشاهده پروفایل

استادیار

• Energy Economics
• Environmental and Natural Resource Economics
• Public Economics
• +۵ مورد دیگر

Justin Kirkpatrick is an Assistant Professor in the Department of Economics at Michigan State University , with research focusing on energy transition, environmental economics, and public policy. His work examines grid integration of renewables, household energy decisions, and policy effectiveness. Ph.D. in Environmental Economics (Duke University) MEM in Environmental Economics and Policy (Duke University) BS in Environmental Policy Analysis and Planning (UC Davis) Research interests span critical energy and environmental domains: Grid transition from fossil fuels to renewables Household energy efficiency decisions Solar panel visibility and adoption dynamics Energy storage policy implications Environmental justice and historical discrimination His peer-reviewed publications demonstrate expertise in: 2024: Heat pump adoption economics 2022: Solar panel visibility effects 2021: Solar subsidy valuation 2020: Amazon deforestation policy impacts 2017: Coastal hypoxia market effects Scientific recognition : AAEA Quality of Research Discovery Award (2018) Teaching contributions include undergraduate courses EC420: Undergraduate Econometrics , SSC442: Undergraduate Data Analytics , and graduate EC950/951: Research Seminar .

Silvija Šiljegمشاهده پروفایل

دانشیار

• Geographic Information Systems (GIS)
• Digital Cartography
• Spatial Planning
• +۴ مورد دیگر

Silvija Šiljeg serves as an Associate Professor in the Department of Geography at the University of Zadar, Croatia, specializing in geospatial technologies and their applications across environmental and social domains. Her academic profile includes teaching courses in Digital Cartography and GIS-based spatial planning, with office hours held Thursdays from 9:30–10:30. Her research integrates Geographic Information Systems (GIS) with critical geographical challenges, focusing on flood susceptibility modeling, demographic depression indices, urban green space accessibility, and ecotourism planning. Methodologically, she employs high-resolution spatial data, multicriteria decision analysis, and dasymetric modeling to address issues like pluvial flooding in Croatian coastal communities, demographic shifts in settlements, and optimal urban land use. Her interdisciplinary approach bridges physical geography, urban studies, and social sciences. Analysis of her recent publications reveals a pronounced emphasis on multi-hazard risk assessment—particularly pluvial floods across Croatian urban centers—and the application of advanced geospatial techniques to demographic and environmental problems. She actively investigates public perception of flood risks and the integration of GIS in secondary education, demonstrating commitment to both technical innovation and pedagogical advancement in geography.

Steven Rugglesمشاهده پروفایل

استاد

• Historical Demography
• Population Studies
• Family Demography
• +۴ مورد دیگر

Steven Ruggles is Regents Professor of History and Population Studies at the University of Minnesota and Director of the Institute for Social Research and Data Innovation. He is best-known as the creator of IPUMS, the world's largest population database providing over two billion observations describing people residing in 107 countries between 1703 and 2022, including every respondent to the surviving U.S. censuses of 1790 to 1940. His work bridges historical demography, data science, and population studies. Ruggles has published extensively on historical demography, with research focusing on long-run changes in multigenerational families, single parenthood, divorce, and marriage patterns, as well as methodological innovations for population history. His work integrates computational methods with historical analysis, pioneering the use of large-scale population databases for demographic research. He has made significant contributions to understanding census technology evolution, privacy protection in demographic data, and the development of historical population infrastructure. His publications reveal a strong focus on the intersection of data science and historical demography, with particular attention to privacy protection methodologies, census data quality, and the development of large-scale population databases. Recent work examines the political dimensions of census technology, the challenges of differential privacy implementation, and the historical evolution of demographic data collection. King of Quant (Wired Magazine, 1995) Wonkblog-Certified Data Wizard (Washington Post Wonkblog, 2014) MacArthur Fellowship President of the Population Association of America (2015) President of the Association of Population Centers (2017-2018) President of the Social Science History Association (2018-2019) Ruggles has led major data infrastructure projects including IPUMS, which has transformed access to historical population data for researchers worldwide. His work has secured substantial funding for developing and maintaining population databases, enabling new research across multiple disciplines. As Director of the Institute for Social Research and Data Innovation, he oversees a major research center focused on data-driven social science. Through IPUMS and related projects, Ruggles has established one of the most significant population data infrastructure systems in the world, supporting research across history, sociology, economics, and public health. His team has developed innovative methods for harmonizing census microdata across time and space, creating unprecedented opportunities for comparative historical demographic research.

• Neuronal diversity and connectivity
• Mouse visual cortical circuit
• Brain circuitry
• +۷ مورد دیگر

Hongkui Zeng serves as Executive Vice President and Director of the Allen Institute for Brain Science, a position she assumed in 2020 after joining the institute in 2006 and leading its Structured Science Division from 2016-2020. She directs one of the world's leading neuroscience research organizations focused on creating comprehensive brain atlases and accelerating neuroscience discovery through open science principles. Dr. Zeng earned her Ph.D. in molecular and cell biology from Brandeis University studying circadian clock mechanisms in fruit flies, followed by postdoctoral research at MIT investigating hippocampus-dependent plasticity and learning. Her scientific journey has evolved toward systematic understanding of brain circuitry through large-scale, multidisciplinary approaches. Her research program centers on understanding neuronal diversity and connectivity in the mouse visual cortical circuit, employing a combined molecular, anatomical, and physiological approach. She has pioneered the development of multiple research platforms including single-cell transcriptomics, electrophysiology, 3D neuronal reconstruction, brain-wide connectivity mapping, and neuronal activity imaging to characterize neuronal cell types and their interconnections. Analysis of her recent publications (2023-2025) reveals a strong emphasis on creating multi-scale brain atlases that integrate transcriptomic, epigenomic, morphological, and connectivity data. Her work demonstrates increasing sophistication in mapping brain organization from molecular to circuit levels, with significant contributions to understanding healthy aging, cortical architecture, and cell-type-specific brain organization. Leading the BRAIN Initiative Cell Census Network Developing the Allen Mouse Brain Connectivity Atlas Creating comprehensive cell-type taxonomies Establishing standardized physiological survey methods As Director, she oversees major research programs, mentors scientific staff, and guides strategic direction for large-scale neuroscience projects that produce foundational resources for the global neuroscience community. Her leadership has positioned the Allen Institute at the forefront of systematic brain mapping initiatives that are transforming how we understand brain structure and function.

Dawn Erbمشاهده پروفایل

دانشیار مهمان

• Galaxy Formation and Evolution
• High-Redshift Galaxies
• Kinematics of Galaxies
• +۴ مورد دیگر

Dawn Erb is a Visiting Associate Professor at the University of Wisconsin-Milwaukee , specializing in galaxy formation and evolution at high redshifts. Her research focuses on the kinematics, chemical evolution, and stellar populations of distant galaxies, with particular emphasis on feedback processes in starburst galaxies and the evolution of the intergalactic medium. Key Research Areas: Galaxy Formation, High-Redshift Galaxies, Circumgalactic Medium, Lyman-alpha Emission, Gas Dynamics Recent studies (2024–2025) involve the Keck Baryonic Structure Survey (KBSS), the CLASSYIR Treasury project using JWST/MIRI, and investigations into Lyα halos, galactic outflows, and metallicity at z ∼ 4. Collaborative work spans institutions including Caltech, STScI, and ESA. Notable Collaborations: KBSS-KCWI Survey, CLASSYIR Treasury, HST Proposals Her affiliations include the Wisconsin-Madison Department of Astronomy , where she contributes to surveys like the Census of the Local Universe (CLU) and studies of Wolf–Rayet stars in M101.

Daniel Thompsonمشاهده پروفایل

دانشیار

• Political Anthropology
• Economic Anthropology
• Urban Political Economy
• +۶ مورد دیگر

Daniel Thompson is an Associate Professor of Anthropology at the University of California, Merced, affiliated with the School of Social Sciences, Humanities and Arts and the Anthropology and Heritage Studies Department. His research bridges anthropology and geography, focusing on urbanization, migration, and political economy in the Horn of Africa (Ethiopia, Somalia, Kenya, Djibouti, Eritrea, Sudan, South Sudan). PhD in Anthropology from Emory University (2019) MA in Geography from University of Miami (2012) His work examines geopolitical borderlands, diaspora investment, and contraband trade, particularly through his project Capital in the Borderlands . Recent publications analyze Ethiopia-Somaliland relations, federalism challenges, and urban dynamics in frontier cities. Despite extensive academic contributions, no scientific awards or students are listed in the provided data.

Timothy Judsonمشاهده پروفایل

پزشک-پژوهشگر

• Population Health
• Digital Health
• Clinical Informatics
• +۷ مورد دیگر

Dr. Timothy Judson is a Physician Scientist at the University of California San Francisco (UCSF) School of Medicine, serving as interim Chief Population Health Officer for UCSF Health and Chief Clinical & Innovation Officer at Canopy Health. His work focuses on population health, digital health, and healthcare quality improvement, with over 30 peer-reviewed publications. Education: Diversity, Equity, and Inclusion Champion Training, University of California (2019) MD, Weill Cornell Medical College, Cornell University (2015) MPH, Tufts University School of Medicine (2011) Dr. Judson's research spans digital health tool implementation (e.g., symptom checkers, chatbots), population health infrastructure, and health disparities. His recent work addresses pandemic response, EHR integration, and care delivery efficiency. His publications highlight trends in digital health (e.g., EHR-based tools), population health (e.g., vaccination disparities), and clinical informatics (e.g., automated triage systems). Collaborations with TrackCOVID Consortium and UCSF teams are central to his contributions. Scientific Awards: Caring Wisely, UCSF (2023-2024) Overall Winner, Clinical Vignettes Competition, Society of Hospital Medicine (2018) Feil Prize & Reader Prize, Weill Cornell Medical College (2015) Delta Omega Honors Society, Tufts University School of Medicine (2011)

Doug Bessetteمشاهده پروفایل

دانشیار

• Sustainable energy
• Energy transitions
• Community energy development
• +۷ مورد دیگر

Doug Bessette is an Associate Professor in the Department of Community Sustainability at Michigan State University's College of Agriculture and Natural Resources. His work bridges interdisciplinary human-environment systems with applied decision research to address complex energy and sustainability challenges at multiple scales. His primary research interests focus on sustainable energy systems and community energy development, with specific expertise in large-scale solar implementation, energy transitions, and community engagement processes. Bessette employs structured decision-making frameworks that incorporate value-focused thinking to help stakeholders identify objectives, generate alternatives, predict consequences, and make explicit tradeoffs between values and strategies. His recent publications reveal a strong emphasis on understanding community acceptance of renewable energy projects, particularly large-scale solar development. His work examines the relationship between community values, identity, sense of place, and project support, challenging the traditional NIMBY (Not In My Backyard) hypothesis. He has developed practical tools like the US Renewable Energy Organized Opposition & Support Database and the Community-Centered Solar Development guidebook to support evidence-based decision-making. Bessette leads the Energy Values Lab at MSU, which has secured research funding for multiple projects examining the social dimensions of energy transitions. His lab employs both graduate and undergraduate researchers, including work on survey methodology for assessing community attitudes toward solar development. His research extends beyond energy to include organic and sustainable agriculture, coastal climate risk management, natural resource management in developing territories, and green infrastructure. Notably, his work on women's empowerment and electricity access in Zambia demonstrates his commitment to understanding the intersection of energy access and social equity.

Chris Andersenمشاهده پروفایل

استاد

• Indigenous Studies
• Critical Indigenous Studies
• Racialization of Indigeneity
• +۵ مورد دیگر

Chris Andersen serves as Professor and Dean of the Faculty of Native Studies at the University of Alberta, where he leads academic initiatives in Indigenous scholarship. His leadership extends to editorial roles including editor of aboriginal policy studies and membership on Statistics Canada's Advisory Committee on Social Conditions. His research program critically examines five interconnected domains: (1) Racialization of Indigeneity in Canadian courts with focus on Métis identity; (2) The colonial dynamics of Aboriginal statistics fields; (3) Urban Indigenous identity formation; (4) Critical Indigenous Studies as an intellectual tradition; and (5) Post-WW2 Métis community life. This work is characterized by its methodological rigor in challenging colonial data systems and legal frameworks. Analysis of his 15 most recent publications reveals a consistent focus on decolonizing methodologies across disciplines. His scholarship demonstrates increasing interdisciplinary engagement, connecting legal studies, demography, urban sociology, and critical race theory through Indigenous epistemological lenses. The trajectory shows deepening exploration of statistical sovereignty and community-based knowledge production. Best Subsequent Book Published in Native American and Indigenous Studies Prize (2014) for “Métis”: Race, Recognition and the Struggle for Indigenous Peoplehood Royal Society of Canada's College of New Scholars, Artists and Scientists (inaugural class, 2010) Most Thought Provoking Article Prize in Native American and Indigenous Studies (2010) Andersen's academic mentorship is evident through his development of specialized graduate courses including Native Studies 503 (Aboriginal Identity and Post-Structuralism) and 504 (Critical Race Theory), alongside his leadership in the NS 655 Professional Seminar which prepares doctoral candidates for academic and professional careers. His SSHRC-funded research on post-WW2 Métis communities demonstrates significant grant acquisition capacity.

Eric V. Sludمشاهده پروفایل

استاد

• Mathematical Statistics
• Probability
• Census Statistics
• +۱۱ مورد دیگر

Eric V. Slud is a Professor in the Statistics Program within the Department of Mathematics at the University of Maryland, College Park. He has taught numerous graduate-level statistics courses including Mathematical Statistics, Categorical Data Analysis, and High-Dimensional Statistics since at least 2017. Dr. Slud's research spans several key areas of mathematical statistics and probability. His work focuses on: Census statistics, particularly demographic modeling of nonresponse to national surveys Small Area Estimation (SAE) with applications to the SAIPE program Survival data analysis including semiparametric inference and clinical trial design Meta-analysis in biostatistics Pharmaceutical statistical methods Large-scale data problems with emphasis on cross-classified data His publications demonstrate continued contributions across these domains, with particular emphasis on small area estimation methodologies, survival analysis techniques, and applications in survey statistics. Dr. Slud has developed innovative approaches to weighting adjustment, nonresponse correction, and estimation with complex survey data. Dr. Slud has advised several PhD students including Yang Cheng (2004), Sophie Tsou (2005), and others working on topics ranging from Factor Analysis to Survival Data. He has collaborated extensively with researchers at the Census Bureau and FDA. Dr. Slud maintains active research programs through multiple Research Interaction Teams (RITs) at the University of Maryland, focusing on advanced statistical methodologies and their applications to real-world problems in census methodology, healthcare, and other domains requiring sophisticated statistical analysis.

Richard J. Boucherieمشاهده پروفایل

استاد

• Operations Research
• Probability
• Healthcare Logistics
• +۵ مورد دیگر

Richard J. Boucherie is a Full Professor at the University of Twente, affiliated with the Digital Society Institute, TechMed Centre, and the Department of Mathematics of Operations Research. His work integrates operations research, stochastic modeling, and queueing theory to optimize complex systems in healthcare, transportation, and logistics. Research Interests: Prof. Boucherie's expertise spans: Healthcare Logistics : Bed census forecasting, patient flow optimization, and clinical scheduling Stochastic Systems : Queueing networks, Markov decision processes, and distributionally robust optimization Applied AI : Reinforcement learning, data mining, and predictive analytics for service systems Publication Trends: His recent articles (2023-2025) demonstrate a strong focus on pandemic-responsive healthcare optimization, including dynamic bed allocation, laboratory workflow design, and fairness in resource distribution during crises. Methodologically, they advance stochastic programming, queueing theory, and Bayesian inference for clinical applications. Awards & Honors: Canadian OR Society Practice Prize (2012) ORTEC Excellence in Advanced Planning Award (2012) Academic Leadership: He has supervised 37 research projects and contributes to institutional initiatives through the TechMed Centre (health innovation) and Digital Society Institute (data-driven solutions).

Antonia Gieschenمشاهده پروفایل

مدرس

• Machine Learning
• Computational Statistics
• Social Science
• +۷ مورد دیگر

Dr. Antonia Gieschen is a Lecturer in Predictive Analytics at the University of Edinburgh Business School, where she leads undergraduate cohorts in Business and Economics (2025–current) and organizes the MSBE Research Seminar Series. She teaches courses including Principles of Data Analytics and Predictive Analytics and Modelling of Data , with office hours dedicated to both undergraduate and postgraduate students. Education: MSc in Marketing & Business Analysis PhD from the University of Edinburgh Her research focuses on the intersection of Machine Learning , Computational Statistics , and Social Science , aiming to address policy challenges through data-driven insights. Key areas include Financial Wellness , Geospatial Inequality , and Food Systems , with a methodological emphasis on clustering algorithms, synthetic population modeling, and multi-dataset integration. She supervises PhD students interested in ML applications in social sciences, such as financial well-being, consumer behavior, and spatial inequality. Her recent publications highlight the development of SynthEco , an open-source Python tool for creating multi-scale digital ecosystems anchored in synthetic populations. This work spans geospatial clustering in urban retail environments, temporal analysis of behavioral data, and multi-layered surveillance for food environments and public health. Themes across her research include data integration , privacy concerns , and clustering approaches , reflecting her focus on translating computational methods into actionable policy insights. Antonia actively collaborates with institutions like the Pittsburgh Supercomputing Center at Carnegie Mellon University and Wageningen University & Research, presenting her work at international conferences including PEARC '25, ISPRS, and IEEE Big Data. She integrates synthetic populations with real-world datasets to analyze complex human behaviors, advocating for interdisciplinary engagement with policymakers and grassroots organizations.