جست‌وجوی استاد و پژوهشگر

Brendan O'Connorمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Natural Language Processing
• Computational Social Science
• +۵ مورد دیگر

Brendan O'Connor is an Associate Professor in the Manning College of Information and Computer Sciences (CICS) at the University of Massachusetts Amherst. His research focuses on computational social science and natural language processing (NLP), particularly exploring how social factors influence language technologies and using text analysis to understand societal trends. His work includes studies on racial bias in NLP, political event analysis, and social media linguistics. He holds a PhD in Machine Learning from Carnegie Mellon University (2014) and dual MS/BS in Symbolic Systems from Stanford University (2006). Education: PhD in Machine Learning, Carnegie Mellon University (2014) MS in Symbolic Systems, Stanford University (2006) BS in Symbolic Systems, Stanford University (2006) Research interests span AI ethics, social media analysis, and computational methods for studying language and society. Notably, he investigates racial disparities in NLP systems, linguistic variation in African American English, and event detection in news and social media. His work has been recognized with NSF CAREER and Google Faculty awards, and his research has been cited thousands of times. His lab, the Statistical Social Language Analysis Lab, develops tools for analyzing large-scale text data. He is affiliated with the Center for Data Science, Center for Intelligent Information Retrieval, and Computational Social Science Institute. Recent projects include analyzing global news coverage of critical events and developing frameworks for zero-shot argument explication. Awards and Honors: NSF CAREER Award Google Faculty Research Award Best Paper Award Advising and Grants: O'Connor has advised projects on social media polling representativeness and demographic analysis. His grants include collaborative research on sociopolitical event extraction and bias mitigation in AI systems. He has also contributed to platforms like Rookie for news archive exploration and ezCoref for coreference resolution. Labs/Teams: Leads the Statistical Social Language Analysis Lab and collaborates with the UMass NLP Group and Harvard Institute for Quantitative Social Science. His work bridges NLP with social science methodologies, emphasizing transparency in algorithms and causal inference using text data.

Edward Wile Maibachمشاهده پروفایل

استاد

• Climate Change Communication
• Public Health Communication
• Social Marketing
• +۳ مورد دیگر

Edward Wile Maibach is a distinguished University Professor and Director of George Mason University’s Center for Climate Change Communication (Mason 4C). He leads influential initiatives like the Yale/George Mason Climate Change in the American Mind polling project, the Medical Society Consortium on Climate and Health, and Climate Matters. A Fellow of the American Association for the Advancement of Science and member of both the National Academy of Medicine and the Virginia Academy of Science, Engineering, and Medicine, he has received top honors including Mason’s Beck Family Presidential Medal (2020) and the Stephen H. Schneider Award (2020). Dr. Maibach holds a PhD in Communication Science from Stanford University (1990), an MPH from San Diego State University (1983), and a BA in Psychology from UC San Diego (1980). His career spans academia, public health, and industry, including roles as Associate Director of the National Cancer Institute and Worldwide Director of Social Marketing at Porter Novelli. He currently chairs the Global Climate and Health Alliance’s Board of Directors. His research focuses on climate communication strategies, health advocacy, and public engagement. Notable contributions include analyzing climate policy support, evaluating communication effectiveness, and developing tools for healthcare professionals to address climate impacts. Recent work emphasizes reducing fossil fuel dependence and leveraging health sector leadership in climate action. Key Achievements: Global recognition for climate communication, influential polling projects, and health-focused climate advocacy Grants & Funding: Extensive funding from NIH, NSF, and private foundations supporting climate communication research Labs & Teams: Leads Mason 4C and collaborates with the Communication, Health, and Relational Media (CHARM) Lab

• Embedded Systems
• Real-Time Systems
• Cyber-Physical Systems
• +۷ مورد دیگر

Marco Caccamo is a Professor at the Technical University of Munich (TUM) , holding the Chair of Cyber-Physical Systems in Production Engineering within the Faculty of Mechanical Engineering. He is also a Principal Investigator and Professor at the Department of Computer Science, with courtesy appointments in Electrical and Computer Engineering, Coordinated Science Lab (CSL), and Aerospace Engineering at the University of Illinois at Urbana-Champaign (UIUC). His research spans Embedded Systems , Real-Time Systems , and Cyber-Physical Systems (CPS) , focusing on resource management, reinforcement learning architectures, and 6D pose recognition for robotics. University of Pisa (B.Sc., 1997) Scuola Superiore Sant'Anna (Ph.D., 2002) Research highlights include predictable resource management on heterogeneous platforms, security frameworks for AI-based controllers , and UAV testbed development . His work integrates deep learning and real-time constraints in industrial applications like avionics, farming, and automotive systems. His 15 most recent publications emphasize cache optimization , memory bandwidth regulation , and reinforcement learning for CPS , with a focus on multi-core processors and DNN inference . Awards include the IEEE Fellow (2018), Alexander von Humboldt Professorship (2018), and multiple Best Paper Awards at RTSS, RTNS, and RTAS. NSF CAREER Award (2003) IEEE Fellow (2018) Alexander von Humboldt Professorship (2018) Best Paper Awards (RTSS 2024, RTNS 2023, ECRTS 2019) He has advised numerous Ph.D. students and postdocs, with a track record in UAV development and industrial collaborations . His lab, the Real-Time and Embedded System Laboratory , focuses on real-time OS and predictable computing .

Catherine Pollingمشاهده پروفایل

مدرس

• Psychiatric Epidemiology
• Self-harm
• Health Inequalities
• +۵ مورد دیگر

Catherine Polling is an NIHR Clinical Lecturer in General Psychiatry at King’s College London (KCL), affiliated with the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) and the Health Inequalities Research Group . Her work focuses on mental health inequities, self-harm epidemiology, and mixed-methods research, particularly in urban and marginalized communities. Education: MBBS from University College London, MSc in Epidemiology from the London School of Hygiene and Tropical Medicine, PhD from KCL's Department of Psychological Medicine Research Interests: Catherine investigates health disparities in mental health services using advanced statistical methods (multi-level modeling, Bayesian disease mapping) and GIS-based data visualization. Her clinical work with the South London and Maudsley NHS Foundation Trust complements her academic focus on systemic racism and mental health outcomes. Teaching & Engagement: She lectures on urban mental health for KCL’s Urban Informatics MSc and co-leads training on racism in mental health services. She also facilitates reflective practice groups accredited by the Balint Society and contributes to curriculum reform via the Maudsley Cultural Psychiatry Group. Scientific Awards: NIHR Clinical Lecturer Fellowship Wellcome Training Fellowship Research Trends: Her publications emphasize self-harm risk factors, pandemic impacts on healthcare workers, ethnic disparities in mental health services, and the intersection of urban environments with mental health outcomes. She integrates large-scale clinical datasets, qualitative interviews, and spatial analysis to address systemic inequities.

James D. Longمشاهده پروفایل

استاد

• Democratization & Elections
• Political Economy of Crime and Corruption
• Voting Behavior
• +۹ مورد دیگر

James D. Long is a Professor of Political Science at the University of Washington and co-founder of the Political Economy Forum. He holds affiliations with multiple institutions including the Center for Statistics and the Social Sciences (CSSS) and the Technology and Social Change Group (TASCHA). His research focuses on electoral integrity, political violence, and ICT applications in development, particularly in sub-Saharan Africa and South Asia. He has observed elections in over a dozen countries and led field experiments on voter behavior and anti-corruption strategies. Long’s work is funded by USAID, NSF, and others. Education: PhD in Political Science, UC San Diego (2012) MSc in African Politics (Merit), SOAS, University of London (2004) BA in International Relations & History, College of William & Mary (2003) Research Interests: Elections in developing democracies, electoral fraud, technology for governance, insurgency impacts, and poverty reduction. His methods combine field experiments, ethnography, and election forensics. Recent Work: Examines ICT-driven citizen engagement platforms to improve governance and service delivery in developing nations. His 2020 ACM award-winning research addresses wildlife conservancy community relations via technology. Awards: ACM Best Paper Award (2020) Fulbright Scholar (2008-2009) Harvard Academy Fellowship (2012-2016) Advising & Grants: Supervises PhD students in comparative politics and development. Secured grants totaling over $1.5M for projects on electoral integrity and anti-corruption. Hosts the podcast 'Neither Free Nor Fair?' on global election security. Teaching: Courses include Global Crime/Corruption, African Political Economy, and Comparative Politics. Served as Associate Chair of the Department of Political Science.

• Social Stratification
• Social Demography
• Health and Wellbeing
• +۳ مورد دیگر

Patrick Präg serves as an Associate Professor of Sociology at CREST/ENSAE (part of the Institut Polytechnique de Paris) and holds an associate faculty position at Oxford University’s Nuffield College. His research integrates quantitative methods and survey data to address social stratification, demography, health, and work-family dynamics. He earned his PhD in Sociology from the ICS/University of Groningen in 2015. His work has been recognized with the Aage B. Sørensen Award (2014). Education: PhD in Sociology, ICS/University of Groningen (2015) Master’s Thesis: Nonresponse to Items on Self-Reported Delinquency, University of Hamburg Research Interests: Patrick’s work explores the interplay between social structure and individual wellbeing. Key topics include: Intergenerational mobility and health outcomes Work-life balance and gender inequalities Pandemic-driven societal changes Algorithmic bias in social science Subjective socioeconomic status measurement Grants & Collaborations: He contributed to the EU-funded ‘Families and Societies’ project, producing deliverables on assisted reproduction and demographic consequences. His research often involves cross-national datasets and methodological innovation, with replication materials shared via Open Science Framework (OSF). Labs & Teams: He is affiliated with CREST (Center for Research in Economics and Statistics) and collaborates with institutions like the Max Planck Institute for Demographic Research (MPIDR) and the Nuffield College. His work frequently intersects with interdisciplinary teams addressing health, education, and labor market policies.

Robert Forsytheمشاهده پروفایل

استاد

• Experimental Economics
• Prediction Markets
• Game Theory
• +۹ مورد دیگر

Robert Forsythe is a Professor of Finance at Wayne State University's Mike Ilitch School of Business, where he served as Dean from 2014 to 2022. Prior to Wayne State, he was Dean at the University of South Florida's College of Business (2006-2012) and a faculty member at the University of Iowa (1981-2022), where he co-founded the Iowa Electronics Market, a futures market for political and economic event contracts. Ph.D., Economics, Carnegie Mellon University M.S., Economics and Statistics, Carnegie Mellon University B.S., Quantitative Business Analysis, Pennsylvania State University His research focuses on Experimental Economics , particularly prediction markets, game theory, and market mechanisms. He has analyzed how markets aggregate information, tested theories of public goods provision, and explored strategic behavior in auctions, bargaining, and elections. His work on the Iowa Electronic Market demonstrated the predictive power of market prices for political outcomes. His recent articles emphasize Market Efficiency , Information Aggregation , and Strategic Decision-Making . He has investigated the role of polls in multi-candidate elections, cooperation in games without reputation, and judgment bias in election stock markets. Notable contributions include the establishment of the Bulls Business Community at USF and the restructuring of M.B.A. programs to accommodate working professionals. Despite no scientific awards explicitly mentioned, his work remains influential in Finance and Political Forecasting . Robert Forsythe co-founded the Iowa Electronic Market and has been instrumental in integrating experimental methods into business education. His teaching includes BUSINESS FINANCE (FIN3290) at Wayne State University.

Przemyslaw Grabowiczمشاهده پروفایل

استادیار

• fair and explainable machine learning
• data science
• computational social science
• +۱۲ مورد دیگر

Przemyslaw Grabowicz is an Assistant Professor of Computer Science at University College Dublin and an Adjunct Professor at the University of Massachusetts Amherst. He leads the SIMS (Socially Intelligent Media and Systems) Lab and the EQUATE initiative, and is actively involved in the Knowledge Discovery Lab (KDL). His work bridges computer science, social science, and public policy, focusing on responsible AI and digital society. Research Interests: Fair and Explainable Machine Learning Computational Social Science Social Media and Network Science Public Opinion Modeling Algorithmic Bias and Discrimination Prevention Open-World Learning His research develops statistical and machine learning methods to understand and augment public opinion in digital environments, ensuring fairness, transparency, and societal benefit. He emphasizes legal compliance and ethical design in AI systems. Recent Research Trends: His recent publications focus on social media polls, political bias, misinformation, and fairness in machine learning. He investigates how algorithmic systems shape public discourse, especially during elections and global crises, and develops methods to detect and mitigate bias in data and models. Scientific Awards and Recognition: Best Paper Honorable Mention, ICWSM’25 WICI Data Challenge Main Prize (2013) Arnold O. Beckman Research Award Multiple UMass Amherst Interdisciplinary Research Grants Volkswagen Foundation Grants (over €900k total) Advising and Grants: Dr. Grabowicz supervises several PhD students in the SIMS and KDL labs and collaborates with MS students. He has secured significant funding from the Volkswagen Foundation, UMass Amherst, and the University of Illinois, supporting research on political misinformation, media bias, and global agenda setting. He is currently recruiting a postdoc at UCD. Labs and Initiatives: He heads the SIMS Lab and the EQUATE initiative, and contributes to the KDL. His project socialpolls.org explores public opinion through social media, and he maintains an active presence through the Uncommon Good blog on responsible AI.

Josh Pasekمشاهده پروفایل

استاد

• Political Communication
• Survey Methodology
• New and Emerging Technologies
• +۳ مورد دیگر

Josh Pasek is a Professor of Communication & Media and Political Science at the University of Michigan, with additional affiliations as a Research Professor at the Center for Political Studies (Institute for Social Research) and Core Faculty at the Michigan Institute for Data Science. His research focuses on the intersection of political communication, survey methodology, and data science, particularly examining how new media and psychological processes shape political attitudes, public opinion, and measurement accuracy. Co-author of Words That Matter and Democracy Amid Crises Maintainer of R packages anesrake and weights Key research areas include: Political Communication Survey Methodology Media Psychology Social Media Data Electoral Behavior Ballot Design His recent publications address topics such as: Vaccine hesitancy and information environments Phubbing and trust dynamics Supreme Court legitimacy post-Dobbs Partisan polarization during the pandemic Climate change perception and partisanship Measurement error in surveys He has collaborated with institutions like the Annenberg Public Policy Center, Georgetown University, and the Pew Research Center, and serves on the AAPOR Task Force for 2024 Pre-Election Polls.

Miguel R. Ruedaمشاهده پروفایل

دانشیار

• Electoral Manipulation
• Civil Conflict
• Money in Politics
• +۳ مورد دیگر

Miguel R. Rueda is an Associate Professor in the Department of Political Science at Emory University, specializing in electoral manipulation, civil conflict, money in politics, and political methodology. He holds a PhD from the University of Rochester (2014), an M.Sc. in Economics, and a B.Sc. in Economics and Mathematics from La Universidad de los Andes. Before Emory, he was a visiting scholar at Princeton University's Center for the Study of Democratic Politics (2013–2014). In Fall 2024, he will serve as a Visiting Associate Professor at Vanderbilt University. His research has been published in top journals like the American Political Science Review , American Journal of Political Science , and Journal of Conflict Resolution . Key themes include electoral fraud mechanisms, civil war dynamics, and the intersection of political methodology with empirical policy analysis. Rueda's work spans theoretical models of strategic behavior (e.g., foreign aid allocation, partisan poll-watching) and applied analyses of electoral systems, conflict outcomes, and governance challenges. His methodological contributions address econometric issues like post-instrument bias and omitted variable effects. Contact: miguel.rueda@emory.edu , 315 Tarbutton Hall, Emory University, Atlanta, GA 30322.

Sergio Ascencioمشاهده پروفایل

مدرس

• Political Science
• Comparative Politics
• Electoral Systems
• +۳ مورد دیگر

Dr. Sergio Ascencio is a Lecturer in the Department of Government at the University of Essex. He holds a PhD from the University of Rochester (2018). His academic career includes roles as Assistant Professor at the University of New Mexico (2019–2021) and Postdoctoral Associate at NYU Abu Dhabi (2018–2019). His research focuses on comparative politics, electoral systems, and political behavior, with a regional emphasis on Mexico and South Asia. Key themes include primary elections, vote buying, political dynasties, and party strategies. His work employs experimental methods and institutional analysis to explore questions of governance and democratic accountability. Recent publications (2021–2024) examine nomination rules, primary adoption, and voter dynamics across multiple countries. His 2019 study on partisan poll watchers and electoral manipulation highlights expertise in electoral integrity. Earlier work (2015, 2009) addresses issue salience modeling and delegation mechanisms in Mexican state legislatures. Contact: Email at sergio.ascencio@essex.ac.uk or via Zoom during academic support hours (Tuesdays 2–4 PM).

Susan Herbstمشاهده پروفایل

استاد

• Public Opinion
• Media Studies
• American Politics
• +۳ مورد دیگر

Susan Herbst is a Professor of Political Science and President Emeritus at the University of Connecticut. She previously served as the 15th President of UConn (2010–2019), returning to the faculty afterward. Her academic career includes roles as Executive Vice Chancellor of the University System of Georgia, Provost at the University at Albany (SUNY), and Dean of the College of Liberal Arts at Temple University. She holds a B.A. in Political Science from Duke University (1984) and a Ph.D. in Communication Theory from USC’s Annenberg School (1989). Her research focuses on public opinion, media, and American politics, with five authored books and numerous articles. She co-edits the University of Chicago Press’s Studies in American Politics series. Notable works include A Troubled Birth: The 1930s and American Public Opinion (2021) and President in the Maelstrom: FDR as Public Opinion Theorist (2021). Her scholarship bridges historical analysis with contemporary democratic theory, emphasizing media’s role in shaping public discourse. Herbst teaches at UConn’s Stamford campus, focusing on political communication and leadership. Her career reflects deep engagement with academic governance, institutional leadership, and scholarly contributions to understanding public opinion dynamics in American democracy.

• Politics
• Political Sociology
• Computational Social Sciences
• +۶ مورد دیگر

Etienne Ollion is a Professor of Sociology at École Polytechnique and a Research Director at the Centre national de la recherche scientifique (CNRS). He maintains dual appointments that position him at the intersection of traditional political sociology and emerging computational methods. His academic work spans both French and international institutions, with teaching invitations at ENS-Paris, Berkeley, University of Chicago, Sciences Po Paris, and other leading universities worldwide. His research program focuses on two interconnected domains: the sociology of politics and power, and computational social sciences. Ollion's work examines political professionalization, parliamentary dynamics, and the transformation of political fields, particularly through his ethnographic study of the 2017 French National Assembly documented in his book The Candidates: Amateurs and Professionals in Politics (Oxford University Press, 2024). Simultaneously, he pioneers methodological innovations applying machine learning and natural language processing to social science research. Ollion's recent publications reveal a trajectory increasingly focused on the intersection of AI and social science methodology, with numerous 2024-2025 publications addressing LLM applications, text annotation, and the ethical considerations of proprietary AI systems in research. His work demonstrates how computational methods can enhance traditional social science approaches while maintaining critical awareness of technological limitations. As an academic leader, Ollion directs the Computational Social Sciences initiative at the IPP and has developed educational resources including online courses and the aweSOM software for data analysis. He regularly organizes summer schools (SICSS-Paris) and workshops to disseminate computational methods across the social sciences. Ollion serves on the editorial board of Actes de la recherche en sciences sociales and maintains an active public presence through media appearances, including a notable interview on France Inter about AI and Social Sciences in September 2024. His upcoming book talk at The Seminary Co-op in Chicago on March 7, 2025 further demonstrates his active engagement with the international academic community.

Andrea Bastoniمشاهده پروفایل

پژوهشگر ارشد

• Real-Time Systems
• Cyber-Physical Systems
• Operating System Design
• +۵ مورد دیگر

Dr. Andrea Bastoni is a Postdoctoral Researcher and Research Fellow at the Chair of Cyber-Physical Systems in Production Engineering at Technical University of Munich (TUM), Faculty of Mechanical Engineering. He is also the CTO and co-founder of Minerva Systems , developing operating system solutions for AI-ready embedded applications. His expertise spans real-time operating systems, cyber-physical systems, and predictable system design for heterogeneous platforms. His research focuses on enhancing predictability of memory hierarchies in complex SoCs through techniques like memory bandwidth regulation and cache partitioning. This work has industrial applications in safety-critical domains such as avionics and railways, where he contributes to certifiable hypervisors and operating systems. As former Software Architect of the PikeOS hypervisor at SYSGO GmbH (2012-2020), he specialized in DO-178C, IEC 61508, and EN 50128 standards. His academic background includes a Ph.D. in Computer Engineering from the University of Rome Tor Vergata (2007-2011), where he developed LITMUS^RT as part of UNC's Real-Time Systems Group during a visiting researcher period (2009-2010). His publications reflect ongoing work on Multicore Real-Time Scheduling , Mixed-Criticality Task Isolation, and Arm DynamIQ shared unit analysis. He actively participates in program committees for conferences like RTSS, DSN, and DATE.

Jeremy Bowlesمشاهده پروفایل

مدرس

• Political Economy of Development
• Sub-Saharan Africa
• State-Building Processes
• +۳ مورد دیگر

Dr. Jeremy Bowles is a Lecturer in Comparative Politics at the Department of Political Science, University College London (UCL). His research focuses on the political economy of development, particularly in sub-Saharan Africa, examining interactions between state-building processes and distributive politics. Prior to UCL, he held a Postdoctoral Fellowship at Stanford University's King Center on Global Development and earned his Ph.D. from Harvard University. His work has been supported by institutions like J-PAL and USAID. Education: B.A. and M.Sc. from the University of Oxford Ph.D. in Government from Harvard University (2021) Postdoctoral Fellowship at Stanford University His research explores how distributive conflicts shape state-building and electoral accountability in weakly institutionalized contexts. Key themes include taxation systems in Tanzania, elite politics in post-colonial states, and the role of social media in African autocracies. He employs experimental and observational methods to study governance challenges in developing democracies. His publications appear in top journals like the American Political Science Review and American Journal of Political Science . Recent work addresses misinformation dynamics, electoral accountability, and post-pandemic policy responses in Zimbabwe. Teaching focuses on African governance and political economy models. Grants and partnerships include collaborations with the International Growth Centre (IGC) and Stanford Impact Labs.