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David L. SchwartzView profile

Research Professor

• Intellectual Property Law
• Patent Law
• Empirical Legal Studies
• +2 more

David L. Schwartz serves as the William G. and Virginia K. Karnes Research Professor of Law at Northwestern University's Pritzker School of Law, where he joined the faculty in 2015 and served as Associate Dean of Research & Intellectual Life from 2019-2022. His interdisciplinary work bridges legal scholarship, data science, and technology policy with emphasis on patent systems and judicial transparency. His educational foundation includes a BS from the University of Illinois at Urbana-Champaign and a JD cum laude from the University of Michigan Law School. Professor Schwartz specializes in empirical analysis of intellectual property systems , particularly patent litigation dynamics and court record accessibility. His research leverages computational methods to transform legal scholarship through projects like SCALES OKN, where he examines how technological interventions can democratize access to justice. This work situates him at the nexus of legal informatics , patent policy , and court system innovation , challenging traditional methodologies in legal academia. His publication trajectory reveals a decisive shift toward technology-driven legal transparency since 2018, with recent work focusing on large-scale court record analysis and open justice infrastructure. The 2024 Northwestern University Law Review article represents the culmination of his NSF-funded SCALES initiative, demonstrating how machine-readable litigation data can reshape legal scholarship and practice. As Co-Principal Investigator of the NSF-funded Systematic Content Analysis of Litigation EventS Open Knowledge Network (SCALES OKN), he leads a multidisciplinary consortium developing tools to convert opaque court records into structured, analyzable datasets. This $1.2M grant supports collaboration between legal scholars, computer scientists, and data engineers to build public infrastructure for judicial transparency. The SCALES OKN project operates as a cross-institutional research collective involving Northwestern faculty, data scientists from multiple universities, and partnerships with legal technology organizations. It maintains active development teams for natural language processing pipelines, litigation event databases, and public-facing analytical interfaces serving legal practitioners and researchers.

Kelly DauberView profile

Assistant Professor

• Exercise Science
• Sport Psychology
• Gender Studies in Sport
• +2 more

Kelly Dauber is an Assistant Professor of Exercise Science in the Department of Rehabilitation Sciences at Bloomsburg University of Pennsylvania . Her academic focus spans sport psychology, gender studies in sport, and mental health within performance settings. Ph.D., Springfield College M.S., Springfield College B.S., Hobart and William Smith Colleges Dauber teaches courses such as Methods and Materials in Elementary School Health and Physical Education , Women in Sport , Psychology of Sport , and Gender and Sport , emphasizing interdisciplinary approaches to health and performance.

• Development Economics
• Labour Economics
• Political Economy
• +7 more

Gustavo J. Bobonis is a Professor in the Department of Economics at the University of Toronto, with affiliations at the Munk School of Global Affairs and Public Policy. He holds a Ph.D. from the University of California, Berkeley (2005) and a B.A. from the University of Puerto Rico at Rio Piedras (2000). He co-directs the Forward Society Lab and is actively involved in research on development, labor, political economy, and economic history. Research Interests: His work focuses on development economics, particularly the impact of public policies on poverty, violence, education, and governance. He employs rigorous empirical methods, including field experiments and quasi-experimental designs, to analyze issues such as intimate partner violence, corruption, clientelism, and human capital accumulation. His research is geographically concentrated in Latin America and Puerto Rico. Recent Research Trends: His recent publications and working papers (2022–2025) demonstrate a strong focus on institutional reform, including anti-corruption audits, domestic violence courts, and education management. He also investigates long-term social impacts of welfare programs and climate adaptation strategies. His interdisciplinary approach bridges economics, public policy, and social science. Scientific Awards: U of T Department of Economics Faculty Award for Excellence in Undergraduate Teaching, 2015 John C. Polanyi Prize in Economic Science, 2009 National Academy of Education / Spencer Foundation Postdoctoral Fellow, 2008 Advising and Grants: While specific student names are not listed, he advises graduate students through the Honours Essay and research workshops. He leads collaborative research projects funded through grants and affiliations with J-PAL and BREAD, often involving large interdisciplinary teams. His work includes randomized evaluations and long-term follow-ups, suggesting sustained funding and research support. Labs and Teams: He co-directs the Forward Society Lab, which likely supports policy-relevant research on social development. He frequently collaborates with economists such as Paul Gertler, Marco Gonzalez-Navarro, Simeon Nichter, and Luis R. Cámara Fuertes. His affiliations with J-PAL and BREAD indicate integration into major global research networks focused on development and poverty alleviation.

Alex KleinView profile

Assistant Professor

• Capital Punishment
• Criminal Law
• Constitutional Law
• +3 more

Alex Klein is an Assistant Professor of Law at Washington and Lee University School of Law, focusing on capital punishment, criminal law, and constitutional issues around execution practices. He teaches Criminal Law, Criminal Procedure: Adjudication, and Death Penalty courses. Education: J.D. from W&L Law (2016), B.F.A. from Virginia Commonwealth University Previous Faculty: Visiting Assistant Professor at W&L Law, Assistant Professor at St. Mary’s University School of Law His research explores the legal, ethical, and societal dimensions of capital punishment, particularly the Eighth Amendment's Cruel and Unusual Punishments Clause. He examines execution methods, bodily autonomy, and the psychological impact on executioners and legal stakeholders. Recent publications include analyses of Supreme Court cases like Baze v. Rees , Glossip v. Gross , and Bucklew v. Precythe , which address constitutional standards for execution protocols. His work critiques the Court's approach to pain assessment in capital punishment. Scientific Awards: Al Kauffman Faculty Excellence and Support Award from St. Mary’s Law Review on Race and Social Justice Before academia, Klein served in the Peace Corps (2008–2010) and worked in youth education/juvenile detention programs. He clerked at the Maryland Supreme Court and U.S. Court of Appeals for the Sixth Circuit. His family includes his husband, son, and two dogs in Lexington, Virginia.

Alyas WiditaView profile

Assistant Professor

• Urban Design
• Transportation Planning
• Urban Analytics
• +11 more

Dr. Alyas Widita is an Assistant Professor in the Urban Design program at Monash University, Indonesia. He is actively involved in research and teaching, focusing on urban planning, transportation, and smart city technologies. He serves as the Program Coordinator for Urban Design and teaches courses such as Urban Design Studio: Smart City and Smart City Technologies. Education: Ph.D. in City and Regional Planning, Georgia Institute of Technology, United States Dr. Widita's research centers on the built environment, transportation systems, and urban analytics, with a strong emphasis on developing Asian cities. His work explores congestion impacts of mass transit, ride-hailing effects on vehicle ownership, rural-urban migration, walking behavior, and spatial patterns of MSMEs. He employs advanced data analytics and causal evaluation methods to inform urban policy. His recent publications span high-impact journals such as Transport Reviews , Journal of Planning Education and Research , and Travel Behaviour and Society . The research trend shows a consistent focus on data-driven urban policy, sustainable mobility, and equity in urban development across Indonesia and Southeast Asia. Scientific Awards and Recognition: No specific awards listed, but research widely cited and featured in media outlets. Dr. Widita has secured and contributed to multiple research projects funded by international and national agencies, including the World Bank, Korea Transport Institute (KOTI), Central Bank of Indonesia, and Georgia Department of Transportation. He is currently leading or co-leading projects on Jakarta’s subsidence, flood risk management using remote sensing, and the Citarum River revitalization. He collaborates extensively with researchers across disciplines and institutions. His work contributes to UN Sustainable Development Goals, particularly those related to sustainable cities and communities. He is accepting PhD students interested in the built environment, transportation, and urban analytics in developing Asia. He is involved in key labs and research teams including the Citarum Action Research Program (CARP), Intelligent and Dynamic Remote Sensing for Flood Risk, and interdisciplinary urban analytics initiatives at Monash Indonesia.

David HerzogView profile

Professor

• Data Journalism
• Investigative Journalism
• Access to Information
• +5 more

David Herzog is a Professor at the Missouri School of Journalism, University of Missouri, where he serves as Director of Data & Research Services and academic adviser to the National Institute for Computer-Assisted Reporting (NICAR) under Investigative Reporters and Editors (IRE). He plays a key role in guiding data journalism initiatives and professional training programs, including the Dow Jones News Fund residency. Herzog specializes in data journalism , investigative reporting , and access to public information . His work emphasizes the use of data analysis tools in storytelling and journalism education. He has contributed significantly to the development of data journalism curricula both nationally and internationally, particularly through the Missouri Method. He was awarded the 2020 Provost's Award for Leadership in International Education for his global outreach, having trained journalists and faculty from over ten countries. He advised the launch of the first university-based data journalism lab in China at Wuhan University. Author of Data Literacy: A User’s Guide (SAGE, 2015) Co-author of Mapping for Stories: A Data Journalism Guide (IRE, 2018) Developed and teaches data journalism courses for both students and professionals Involved in the interdisciplinary online M.S. in Data Science and Analytics program Herzog has a background as an investigative reporter with experience at The Providence Journal , The Baltimore Sun , and The Morning Call . His efforts have helped institutionalize data-driven journalism in academic and professional settings worldwide.

Margaret P. ChapmanView profile

Assistant Professor

• Risk-Averse Control Theory
• Stochastic Control Theory
• Safety Analysis for Dynamical Systems
• +4 more

Margaret P. Chapman is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Toronto's Faculty of Applied Science and Engineering. She leads the DATA Lab (Decision Analysis for Trustworthy Autonomy), focusing on risk-averse and stochastic control theory with applications to environmental and human health. Education: B.S. and M.S. in Mechanical Engineering from Stanford University (2012, 2014), Ph.D. in Electrical Engineering and Computer Sciences from UC Berkeley (2020, advised by Claire Tomlin) Her research bridges robust and stochastic optimal control via risk measure theory, emphasizing safety-critical applications in healthcare and sustainable cities. Key challenges include scalable risk-sensitive control methods, integrating physics-based and data-driven models for safety analysis, and promoting technologies that enhance planetary and human well-being. Recent publications focus on risk-averse autonomous systems, CVaR-based safety analysis, and multi-time-scale modeling for cancer treatment. She has advised students in both graduate and undergraduate research roles, including NSERC awardees and thesis participants. Awards: US National Science Foundation Graduate Research Fellowship, Berkeley Fellowship, Terman Engineering Scholastic Award, Leon O. Chua Award She teaches courses like ECE 557 (Linear Control Theory) and ECE 1643 (Risk-Averse Control with Learning). Her invited talks span institutions such as MIT, Princeton, and Georgia Tech, highlighting risk-sensitive analysis and control for trustworthy autonomy.

António FidalgoView profile

Adjunct Professor

• Cliometrics
• Economic History
• Long-term Economic Development
• +4 more

António Fidalgo serves as an Adjunct Professor at the Católica Lisbon School of Business & Economics, Catholic University of Portugal, where he concurrently holds the position of Academic Director for the Masters in Applied Management program. His prior academic appointments include teaching roles at University of Magdeburg (Germany), Fresenius University (Germany), and Boston University (USA). His educational qualifications comprise: M.A. in Economics from Universitat Pompeu Fabra, Spain Ph.D. in Economics from Lausanne University, Switzerland Fidalgo specializes in cliometrics—the quantitative analysis of economic history—with research concentrated on pre-Industrial Revolution to Industrial Revolution periods. His work examines: Long-term economic development trajectories Historical living standards and agricultural production systems Economic inequality dynamics across centuries Methodological innovations in quantitative economic instruments Reproducibility frameworks for empirical economic research As Academic Director of the Masters in Applied Management, he oversees program development and student mentorship. While specific research grants and advisee details remain undisclosed in available records, his leadership role demonstrates significant engagement in graduate education administration and curriculum design within quantitative economics.

Kwang-Sung JunView profile

Assistant Professor

• Interactive Machine Learning
• Reinforcement Learning
• Multi-Armed Bandits
• +7 more

Kwang-Sung Jun is an Assistant Professor at the University of Arizona, Department of Computer Science. His research spans interactive machine learning, reinforcement learning, and learning theory, with a focus on multi-armed bandits, Bayesian optimization, and generalized linear models. Education : Ph.D. in Computer Science from the University of Wisconsin-Madison (2015). Research Trends : Kwang-Sung's recent work (2023-2025) emphasizes bandit algorithms with second-order bounds, adaptive experimentation, and PAC-Bayes frameworks. He explores low-rank structures in regression, explainable reward shaping, and environmental risk modeling via probabilistic assessments of postfire debris-flows. His publications often bridge theoretical guarantees (e.g., regret bounds) with practical applications in machine learning and environmental hazards. Expertise : Interactive machine learning Multi-armed bandits Confidence sequences Reinforcement learning Human-machine hybrid systems

• Biostatistics
• Genetics
• Maternal & Child Health
• +4 more

Heping Zhang is the Susan Dwight Bliss Professor of Biostatistics at the Yale School of Public Health , with secondary appointments in the Child Study Center , Department of Statistics and Data Science , and Department of Obstetrics, Gynecology, and Reproductive Sciences . He directs the Collaborative Center for Statistics in Science (C²S²) and leads the Reproductive Medicine Network data coordinating center. Education: PhD in Statistics, Stanford University (1991) Postdoctoral Fellow, Mathematical Science Research Institute (1991) Research Focus : Zhang specializes in biostatistical methodology for genomic data analysis , clinical trials , and reproductive medicine . His work bridges genetics , mental health , and maternal-child health through innovative statistical approaches. Awards : 2023 Web of Science Highly Cited Researcher 2023 International Chinese Statistical Association Distinguished Achievement Award 2022 Institute of Mathematical Statistics Neyman Award and Lecture 2011 Royan Institute International Research Award 2011 Institute of Mathematical Statistics Medallion Award 2008 Harvard School of Public Health Myrto Lefokopoulou Distinguished Lecturer Professional Roles : He served as President of the International Chinese Statistical Association (2019) and Former Editor of the Journal of the American Statistical Association - Applications and Case Studies . His lab develops open-source software tools like ABESS , STREE , and modSaRa for genomic and clinical data analysis.

Giorgio GrisettiView profile

Professor

• Mobile Robotics
• SLAM
• Robot Localization
• +3 more

Giorgio Grisetti is a Full Professor at Sapienza University of Rome within the Department of Systems and Computer Science, maintaining active research roles in the RoCoCo lab at Sapienza since November 2010 and the Autonomous Intelligent Systems Lab at Freiburg University where he previously served as a Post Doc under Wolfram Burgard starting in 2006. His educational background includes a M.Sc. in Computer Engineering from the University of Rome (2001) and a Ph.D. from Sapienza University of Rome's Intelligent Systems Lab (2006), supervised by Daniele Nardi. His doctoral thesis focused on SLAM using Rao-Blackwellized particle filters. Dr. Grisetti's research centers on mobile robotics with emphasis on robust solutions for autonomous navigation systems. His work spans theoretical and practical advancements in Simultaneous Localization and Mapping (SLAM), robot localization, path planning, and sensor fusion, particularly leveraging LiDAR and multi-sensor configurations. Recent publications demonstrate strong focus on optimization techniques, sensor calibration, and real-time performance for autonomous systems operating in complex environments. His publication trends reveal deep specialization in LiDAR-based SLAM (7 of 15 recent articles), bundle adjustment methods (4 articles), and sensor calibration/perception (3 articles), with consistent contributions to top robotics venues like IEEE Robotics and Automation Letters and ICRA. Key recognitions include: Nomination for the best IROS paper award (2010) Open Source achievement award from Willow Garage (2010) Best paper award at the International Conference and Exhibition on Unmanned Areal Vehicles (2010) Best Paper award at ICRA 2009 (2009) His research is conducted through the RoCoCo lab at Sapienza University of Rome and the Autonomous Intelligent Systems Lab at Freiburg University, focusing on developing foundational algorithms for mobile robot autonomy. Current projects emphasize robust perception systems, optimization frameworks for sensor fusion, and practical implementations for real-world navigation challenges.

Lars ErikssonView profile

Researcher

• Inorganic Chemistry
• Solid State Chemistry
• Crystallography
• +4 more

Lars Eriksson is a researcher at the Department of Chemistry, Stockholm University, affiliated with the Faculty of Science. He is part of Gunnar Svensson's group, which focuses on solid-state inorganic chemistry, including the synthesis of energy-related compounds and their crystal structure analysis. Research interests span inorganic chemistry, solid-state chemistry, crystallography, energy applications, organic synthesis, catalysis, and chemical education. His work bridges experimental and computational approaches, with recent publications exploring molecular design for energy storage, asymmetric synthesis, triplet-to-singlet energy transfer, and pedagogical strategies in chemistry education. Trends in his research highlight applications in materials science, environmental chemistry, and educational methodologies. While no formal scientific awards are mentioned in the provided texts, his contributions include collaborative studies on catalysis, molecular structure, and student learning processes. He has no listed grants or students, but his publications emphasize tutor-student interactions and practical epistemology analysis. The research group he belongs to investigates fundamental properties of synthesized compounds, often with energy-related applications, and maintains strong ties to the broader chemistry community through peer-reviewed publications and educational studies.

Deborah JohnsonView profile

Researcher

• Racial-Ethnic Socialization
• Cultural Adjustment of Immigrants/Refugees
• Child Racial Coping
• +3 more

Dr. Deborah J. Johnson is a researcher in the Department of Human Development and Family Studies at Michigan State University, affiliated with the College of Social Sciences. She holds a Ph.D. from Northwestern University, an M.A. from Cornell University, and a B.A. from the University of Chicago. Her work focuses on racial-ethnic socialization, cultural adjustment of immigrant/refugee groups, and resilience among marginalized populations, with particular attention to South Sudanese refugees, Indigenous Australians, and Roma youth. She explores how cultural identity intersects with global contexts, gender, and education to shape developmental outcomes. Key research areas include: Racial-identity development in African American and Latina college women Cultural adaptation of Sudanese refugees and its tridimensional aspects of identity alignment Positive youth development in Indigenous Australian communities through virtual reality initiatives Policy impacts on oppressed ethnic groups' identity reformation Her work has been published in over 50 peer-reviewed articles and books, including Identity Re/Formation among Immigrant Youth and Families (upcoming) and Children and Prejudice (2018). She leads interdisciplinary projects at the intersection of education, mental health, and public policy, emphasizing equity and culturally responsive practices. Dr. Johnson collaborates with institutions like the Child Development Laboratory and Couple & Family Therapy Clinic to translate research into community-focused interventions. Her global projects span North America, Australia, and Eastern Europe, addressing systemic barriers faced by vulnerable populations.

Julia TiconaView profile

Assistant Professor

• Digital Communication Technologies
• Precarious Work
• Algorithmic Labor Platforms
• +7 more

Julia Ticona is an Assistant Professor at the Annenberg School for Communication and holds a secondary appointment in Sociology at the University of Pennsylvania. Her research examines how digital communication technologies shape precarious work, focusing on mobile phones, algorithmic platforms, and data-driven management systems affecting low-wage workers. She explores identity construction, inequality, and labor dynamics in the gig economy, including a book under contract with Oxford University Press titled *The Digital Hustle: Precarity Beyond Platforms*. Dr. Ticona earned her Ph.D. in Sociology from the University of Virginia (2016), an M.A. from the same institution (2011), and a B.A. from Wellesley College (2009). She has held postdoctoral roles at Data & Society Research Institute and is currently a Faculty Affiliate there and an Associate Fellow at the Institute for Advanced Studies in Culture. Her work appears in journals like *New Media & Society* and outlets such as *Wired* and *Slate*. Her research interests include digital labor platforms, algorithmic management, carework regulation, and the intersection of technology with inequality. She has contributed to legal advocacy, including an amicus brief for the U.S. Supreme Court case *Carpenter v. U.S.*. Her courses address digital inequalities, labor in the digital economy, and qualitative research methods. Her publications analyze topics like visibility regimes in domestic work platforms, contested governance on carework platforms, and strategies for coping with insecure digital labor. Her recent work critiques data colonialism and explores how technological systems exacerbate socioeconomic divides. Leveraging qualitative methods, Ticona’s scholarship bridges sociological theory with empirical studies of digital labor. She collaborates across disciplines to address systemic inequities perpetuated by technology, emphasizing worker agency and institutional accountability in platform economies.

Ardalan Amiri SaniView profile

Associate Professor

• Mobile Systems
• Operating Systems
• Security
• +5 more

Ardalan Amiri Sani is an Associate Professor in the Computer Science Department at the University of California, Irvine (UCI), affiliated with the Donald Bren School of Information & Computer Sciences. He leads the Trustworthy Systems Lab (TrussLab), focusing on secure and reliable mobile systems, operating systems, and virtualization. His research bridges mobile computing, security, and OS design, addressing challenges in I/O devices, kernel hardening, and verifiable provenance. Education: Ph.D. and M.Sc. from Rice University (ECE), B.Sc. from Sharif University of Technology. Awards include the NSF CAREER Award, Google ASPIRE Award, and UCI Dean's Mid-Career Research Award. He has advised numerous graduate and undergraduate students, many of whom now work in academia and industry. Research highlights include Tabellion (secure legal contracts on mobile devices), ProvCam (verifiable video provenance), and work on minimizing smartphone TCBs via hardware isolation. His grants include NSF funding for OS kernel security and NSA support for provenance systems. Education: Ph.D., Electrical and Computer Engineering, Rice University, 2014 B.Sc., Electrical Engineering, Sharif University of Technology Grants: $500K NSF Award (with UCR) for OS kernel security (2020) NSF SaTC Award for GPU security in browsers Google ASPIRE Award for Android system call filtering Labs/Teams: Trustworthy Systems Lab (TrussLab), collaborating with industry partners like Intel and Broadcom.