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Arvind Parkhe is a Laura H. Carnell Professor of Strategy and International Business at Temple University’s Fox School of Business. He previously taught at Indiana University’s Kelley School of Business (1989–2003) and holds degrees from IIT Bombay (B.Tech.), Georgia State University (MBA), and Temple University (Ph.D.). His research focuses on strategic alliances, global supply chains, international joint ventures, and trust in cross-border partnerships. He has published in top journals like the Academy of Management Journal and Strategic Management Journal, earning awards such as the AIB Best Dissertation Award (1990) and JIBS Decade Award (2001). Teaching excellence spans all academic levels: recognized as outstanding faculty for Ph.D., MBA, and undergraduate programs. Service leadership includes Vice President of the Consortium for Undergraduate International Business Education (2014), Chair of Fox’s Strategic Management Department (2010–2020), and Managing Director of Fox MBA Programs (2005–2010). He received Temple’s Musser Outstanding Service Award (2012) and Faculty Service Excellence Award (2012). Key research contributions emphasize interorganizational networks, global competitive strategies, and trust mechanisms in alliances. His work bridges theory and practice, addressing challenges in global business operations and strategic collaboration.

• Global Supply Chains
• Strategic Alliances
• International Joint Ventures
• +6 more

Amy Bruckman is a Regents’ Professor and Senior Associate Chair in the School of Interactive Computing at Georgia Institute of Technology. As a Fellow of The ACM and member of the SIGCHI Academy , she contributes to social computing research focusing on online collaboration, cross-cultural understanding, and content moderation. Her 2022 book "Should You Believe Wikipedia? Online Communities and the Construction of Knowledge" explores digital knowledge creation. Education: Ph.D. from MIT Media Lab (1997), B.A. in Physics from Harvard (1987) Research Affiliations: GVU Center, IRI People and Technology Her work addresses social computing challenges including: AI ethics in human-AI interaction Algorithmic bias in content moderation Epistemic justice in online communities Comparative platform analysis (Reddit, Discord, TikTok) Grassroots technology movements Recent publications examine: AI support tools for online counseling Community-driven research frameworks Racial bias mitigation in toxic language detection Designing teachable social media experiences Human trafficking intervention ethics Scientific recognition includes: ACM Fellowship SIGCHI Academy membership She has contributed to: Georgia Tech's Computing Education initiatives Research ethics frameworks for Human-Computer Interaction

• Social Computing
• Online Collaboration
• Content Moderation
• +3 more

Pranav Anand is a Professor in the Department of Linguistics at the University of California, Santa Cruz (UCSC). He currently serves as the Faculty Director of the Humanities Institute at UCSC since July 2023. His research focuses on the interplay between context, interpretation, and grammatical perspective, particularly in areas like de re/de se contrasts, evaluative predication, and indexical shift. He has contributed to studies on narrative structures, evidential restrictions, and the syntax-semantics interface in sluicing. Dr. Anand has taught a variety of courses including Ling 119: Narratives , Ling 231: Semantics A , and special topics like Invented Languages: From Elvish to Esperanto . His work bridges theoretical linguistics with computational methods, evidenced by collaborations in projects such as the Santa Cruz sluicing dataset and analyses of political discourse in online commentary. His research has been published in journals like Linguistics and Philosophy , Language , and Discourse and Society , with a focus on semantics, pragmatics, and narrative linguistics. He has also contributed to computational linguistics initiatives, including the development of annotated corpora for sentiment analysis and argumentation studies. Dr. Anand's academic contributions span both theoretical exploration and applied computational linguistics, reflecting his interdisciplinary approach to understanding language structure and usage.

• Semantics
• Pragmatics
• Syntax-Semantics Interface
• +5 more

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.

• Artificial Intelligence
• Natural Language Processing
• Computational Social Science
• +5 more

Lorraine (Xiang) Li is an Assistant Professor in the Department of Computer Science at the University of Pittsburgh’s School of Computing and Information (SCI). Her research focuses on the intersection of natural language processing, commonsense reasoning, knowledge representation, and machine learning, particularly in designing probabilistic models and evaluation methods for implicit commonsense knowledge in language. Li holds a PhD from the University of Massachusetts, Amherst, and previously worked as a young investigator with the Mosaic team at AI2. She has an M.S. in Computer Science from the University of Chicago, where she conducted research at TTIC. Her work emphasizes advancing AI’s ability to reason contextually and generate robust, human-like understanding through probabilistic frameworks. Key research themes include bias detection in reasoning models, iterative model editing, domain adaptation with LLMs, and evaluating commonsense through probabilistic measures. Her recent publications explore challenges like confirmation bias in chain-of-thought reasoning and geographical robustness in object recognition. Li actively contributes to the NLP community, serving on program committees for ACL, EMNLP, NAACL, and ARR. Though no formal awards are listed, her prolific publication record reflects her impact in AI research. She currently leads research in procedural knowledge models (e.g., Plasma) and long-tail knowledge generation, advancing foundational AI methodologies.

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +3 more

Alan Patten is the Howard Harrison and Gabrielle Snyder Beck Professor of Politics and Chair of Princeton University's Department of Politics. He holds a D.Phil. from Oxford University, with prior academic roles at McGill University and the University of Exeter. His research bridges historical political thought and contemporary political philosophy, focusing on minority rights, language politics, nationalism, and religious freedom. He is the author of Hegel's Idea of Freedom (1999), Equal Recognition: The Moral Foundations of Minority Rights (2014), and co-editor of Language Rights and Political Theory (2003). Patten has served as editor of Philosophy & Public Affairs (2010–2017) and currently directs Princeton's University Center for Human Values. His recent work explores a liberal theory of religious freedom and critiques neocolonial dynamics in cultural trade. Awards include the APSA First Book Prize and the C.B. Macpherson Prize. Education: B.A. (McGill), M.A. (Toronto), M.Phil. & D.Phil. (Oxford, 1996). Teaching includes courses on political theory, democracy, and self-determination. Patten has advised numerous Ph.D. students on topics in political philosophy and intellectual history. Research interests span the moral foundations of minority rights, language policy in multicultural contexts, and the historical development of nationalist thought. His work often combines normative argumentation with historical analysis, addressing contemporary issues like religious exemptions, cultural preservation, and global justice. Awards: APSA First Book Prize in Political Theory (1999) C.B. Macpherson Prize (Canadian Political Science Association, 1999) Service: Chair of the Department of Politics (2018–2024), editorial roles, and academic leadership in interdisciplinary initiatives at Princeton.

• Political Theory
• Political Philosophy
• Minority Rights
• +7 more

Song Mei is an Assistant Professor in the Department of Statistics and Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. She received her Ph.D. from Stanford University in 2020 under Andrea Montanari and maintains active research collaborations with institutions including Amazon (as a 2023 Amazon Research Award recipient) and OpenAI (where she is currently on leave). Her research spans the intersection of statistics, machine learning, information theory, and computer science, with particular emphasis on foundational theories for modern AI systems. Key interests include language models, diffusion models, quantum algorithms, and high-dimensional statistics, often leveraging insights from statistical physics literature. Analysis of her recent publications reveals a strong focus on theoretical underpinnings of generative AI, with significant contributions to understanding contrastive pre-training (CLIP), attention mechanisms in LLMs, and mathematical foundations of diffusion models. Her work demonstrates consistent interdisciplinary connections between statistical theory and practical AI development. Sloan Research Fellowship (2025) Noether Early Career Scholar Award (2025) Google Research Scholar Award (2024) Amazon Research Award (2024) She actively advises graduate students through MA programs and has secured significant research grants including Amazon Research Awards. Her work with AGI Labs at Amazon demonstrates applied impact of theoretical research. Current projects focus on mechanistic interpretability of large language models and mathematical frameworks for generative AI. Professor Mei leads research on the statistical principles behind frontier AI models, with particular focus on developing rigorous theoretical frameworks for understanding emergent behaviors in large-scale systems.

• Language Models
• Diffusion Models
• Theory of Deep Learning
• +6 more

Kent A. Ono is a Distinguished Professor in the Department of Communication at the University of Utah, where he has held faculty appointments since 2012. Previously, he served as Department Chair (2012-2017) and has held leadership positions including Director of Asian American Studies at UIUC (2002-2007) and Director of Cultural Studies at UC Davis (1999-2002). He earned his PhD in Rhetorical Studies from the University of Iowa (1992), MA from Miami University (1988), and BA from DePauw University (1987). Professor Ono's research examines critical media analysis through frameworks of race, gender, sexuality, and nation. His work spans rhetorical theory, intercultural communication, and cultural studies, with emphasis on: Representations of Asian Americans in media Immigration discourse and border rhetoric Postcolonial media criticism Critical race methodologies Transnational cultural flows His recent publications demonstrate sustained focus on immigration rhetoric, racial representation in media, and critical intercultural communication. Thematic analysis reveals consistent engagement with power structures, identity negotiation, and resistance narratives across 30+ years of scholarship, with emerging work on K-pop globalization and digital culture. Awards & Honors: Presidential Citation, National Communication Association (2024) Fellow, International Communication Association (2021) Douglas W. Ehninger Distinguished Rhetorical Scholar (2018) Distinguished Scholar Awards from NCA (2015, 2022), WSCA (2020) Teachers on Teaching Award, NCA (2015) He has held editorial leadership positions including Editor of Communication and Critical/Cultural Studies and co-editor of NYU Press's Critical Cultural Communication series. As NCA President (2020), he advanced equity initiatives and disciplinary transformation. Ono founded the Asian American Cultural Politics Research Cluster at UC Davis and secured grants including 'Portraits of Courage: Photographs by Shane Sato' (2019). He teaches graduate seminars in Rhetorical Studies and International Communication.

• Communication and Media Studies
• Cultural Studies
• Critical Race Theory
• +5 more

Jill Newton is a Professor in the Department of Curriculum and Instruction at Purdue University’s College of Education. Her work focuses on mathematics education curriculum development, teacher training, and equity in education, with additional contributions to international and study abroad programs. Ph.D. in Curriculum, Teaching, and Educational Policy (Mathematics Education), Michigan State University (2008) M.A. in International Education, George Washington University (1995) B.S. in Mathematics and Secondary Teaching Certification, Michigan State University (1987) Newton’s research spans algebra teaching, curriculum coherence, and social justice in education. She has led national studies on mathematics teacher preparation and explored how teachers use curricular resources post-COVID. Her work also emphasizes international education, including virtual communities of practice for global social justice. Recent publications highlight her focus on algebraic reasoning, curricular alignment, and equity. She has co-authored studies on elementary teachers’ curriculum use, preservice teacher development, and virtual intercultural collaborations. Terry L. Wood Mathematics Teacher Educator Award (2024-25) Book of Great Teachers Inductee (2023) Outstanding Leadership in Globalization Award (2022-23) Charles B. Murphy Outstanding Undergraduate Teaching Award (2017) Newton has coordinated undergraduate research at Purdue since 2018 and has taught mathematics education courses since 2004. Her teaching experience spans secondary schools in Venezuela, Tanzania, Bulgaria, and Papua New Guinea, enriching her global perspective.

• Mathematics Education Curriculum
• Mathematics Teacher Education
• Algebra Teaching and Learning
• +3 more

Sharon Levy is an Assistant Professor in the Department of Computer Science at Rutgers University, USA. Her research focuses on Natural Language Processing (NLP) with an emphasis on Responsible AI, addressing fairness, safety, and trustworthiness in language systems. She holds a Ph.D. from the University of California, Santa Barbara (2023), and conducted postdoctoral work at Johns Hopkins University (2023-2024). Education: PhD in Computer Science (UCSB, 2023), MS (UCSB, 2018), BS (UCSB, 2017). Professional experience includes roles at AWS, Facebook AI, Pinterest, and Akamai Technologies. Research Interests: Fairness in non-English contexts, safety of LLM outputs, misinformation detection, and computational social science applications. Her work frequently intersects with public health, gender studies, and political science. Teaching: Instructs Rutgers' Natural Language Processing course (Spring 2025) and co-taught JHU's Trustworthy NLP course. Active guest lecturer at institutions including Stanford and UT Austin. Mentorship: Supervises 14+ students across PhD, MS, and undergraduate levels, with notable advisees winning CRA awards. Labs/Teams: Currently leads research within Rutgers' CS department, previously collaborated with Johns Hopkins' CLSP.

• Natural Language Processing
• Responsible AI
• Fairness in AI
• +5 more

Eric Wilkinson is a Research Fellow in the Department of Philosophy at the University of British Columbia and previously served as a Visiting Assistant Professor at the University of Wisconsin-Milwaukee. He holds a PhD from McGill University and earned MAs in Political Science (York University) and Philosophy (University of Toronto). His research focuses on meta-ethics, normative ethics, political philosophy, and the history of philosophy, with notable work on Indigenous philosophy, multicultural nationhood, and logical rationalism. He is a Vanier Scholar and has contributed to debates on Canadian national identity, public policy, and the intersection of gender and historical philosophy. His teaching interests align with his research, emphasizing ethics, meta-ethics, and political philosophy. Education: PhD in Philosophy, McGill University MA in Political Science, York University MA in Philosophy, University of Toronto BA/BSc, University of Ottawa Research Highlights: Reconstructing Indigenous philosophical thought through oral traditions and European records. Advocating for multicultural nationhood as a cohesive framework for diverse societies. Exploring logical rationalism as a foundational theory in epistemology. Awards: Vanier Scholar (McGill University). Publications: Featured articles include work on Mersenne’s music theory, Anscombe’s philosophy of law, and the pragmatics of art ontology. Wilkinson’s work bridges academic philosophy with public engagement, as seen in his advocacy for accessible philosophy and potential interest in public office.

• Meta-Ethics
• Normative Ethics
• Political Philosophy
• +5 more

Michael Smith is the McCosh Professor of Philosophy at Princeton University. He holds a DPhil from Oxford University (1989) and has been a faculty member since 2004, previously at the Australian National University. His research focuses on ethics, moral psychology, philosophy of mind, political philosophy, and philosophy of law. Smith’s work integrates constitutivist theories of practical reason with analyses of moral agency. He has contributed to debates on moral rationalism, the nature of reasons for action, and the relationship between rationality and normativity. Education: MA, Monash University (1980); BPhil (1983), DPhil (1989), University of Oxford Smith’s scholarship emphasizes the interplay between ethical theory and psychological explanations of agency. Recent publications explore topics like carbon capture technologies, cultural clashes in moral reasoning, and probabilistic forecasting in oceanography. His philosophical contributions address foundational questions in meta-ethics, including the ‘moral problem’ and the implications of constitutivism for normative frameworks. He advises on interdisciplinary projects at the intersection of philosophy and emerging technologies. Notable research trends include applying philosophical analysis to environmental ethics and developing frameworks for resolving moral dilemmas through rational agency models. His work often bridges analytic philosophy with empirical inquiries in psychology and social science.

• Ethics
• Moral Psychology
• Philosophy of Mind
• +3 more

Marcia C. Linn is the Evelyn Lois Corey Professor of Instructional Science in the Berkeley School of Education at the University of California, Berkeley. She serves as Chair of the Graduate Group in Science and Mathematics Education (SESAME) and has made significant contributions to the field of science education for over five decades. Dr. Linn is a member of the National Academy of Education and a Fellow of multiple prestigious organizations including the American Association for the Advancement of Science (AAAS), the American Psychological Association (APA), the Association for Psychological Science (APS), the American Educational Research Association (AERA), and the International Society of the Learning Sciences (ISLS). Dr. Linn earned her B.A. in Psychology and Statistics (1965), M.A. in Educational Psychology (1967), and Ph.D. in Educational Psychology (1970) from Stanford University, where she worked under Lee Cronbach. Her early career included working with Jean Piaget at the Institute Jean Jacques Rousseau in Geneva, Switzerland (1967-68), serving as a Fulbright Professor at the Weizmann Institute of Science in Israel (1983), and conducting research at University College in London. She has been a fellow at the Center for Advanced Study in Behavioral Sciences three times and a Writing Resident at the Rockefeller Foundation Bellagio Center twice. Dr. Linn's research focuses on how students learn science and how technology can be used to improve science education. She developed the Knowledge Integration framework, which has become widely used in science education. Her work explores the intersection of cognitive science and educational practice, with particular attention to how students develop understanding of complex scientific concepts. She has pioneered the use of technology in science education, developing the Web-based Inquiry Science Environment (WISE) and directing the NSF-funded Technology-Enhanced Learning in Science (TELS) center. Dr. Linn's recent publications demonstrate a clear trajectory toward integrating artificial intelligence with science education. Her work increasingly focuses on how AI can support knowledge integration, facilitate science learning opportunities, and promote equitable educational experiences. She examines how technology can help students develop deeper understandings of scientific concepts through inquiry-based learning while addressing issues of social justice in science education. Scientific Awards and Honors National Association for Research in Science Teaching Award for Lifelong Distinguished Contributions to Science Education American Educational Research Association Willystine Goodsell Award Council of Scientific Society Presidents first award for Excellence in Educational Research Fulbright Professor (1983) Apple Wheels for the Mind grant (1985) National Institute of Education grant (1983) Throughout her career, Dr. Linn has secured significant funding for educational research, including multiple National Science Foundation grants. She directed the NSF-funded Technology-Enhanced Learning in Science (TELS) center and has led numerous projects investigating the cognitive consequences of computer environments for learning. She has advised countless students and researchers in the field of science education, shaping the next generation of educational researchers and practitioners. Dr. Linn directs the Web-based Inquiry Science Environment (WISE) project and has been instrumental in developing technology-enhanced learning environments for science education. Her laboratory has been at the forefront of creating and testing innovative learning technologies that support students in developing deep understanding of scientific concepts through inquiry-based approaches.

• Science Education
• Technology in Education
• Knowledge Integration
• +7 more

Sudha Ram is the Anheuser-Busch Endowed Professor of MIS, Entrepreneurship & Innovation at the Eller College of Management, University of Arizona. She holds joint faculty appointments as Professor of Computer Science and is a member of the BIO5 Institute and the Institute for the Environment. She is also the Director of INSITE: Center for Business Intelligence and Analytics, a leading research center in data-driven decision-making. Her research focuses on Big Data Analytics , Business Intelligence , Large Scale Network Science , and Machine Learning , with applications in healthcare, smart cities, environmental policy, and social media. She has pioneered methods in explainable AI, conceptual modeling, and multimodal data fusion, integrating statistical, ontological, and machine learning approaches. Recent publications demonstrate a strong trend in healthcare analytics (e.g., asthma, diabetes, fracture prediction), explainable AI (ROLEX, argumentation-based models), and urban/smart systems (mobility, wearables, environmental impact). Her work consistently appears in top-tier journals and conferences, reflecting sustained scholarly impact. AIS Fellow (2018) INFORMS ISS Distinguished Fellow IBM Faculty Award Peter Chen Award Best Paper Award, IEEE Smart Cities (2016) Best Paper Award, ACM Digital Health (2016) Woman of Impact Award, University of Arizona (2023) Dr. Ram has secured over $70 million in research funding from agencies like NSF, NASA, CIA, and corporations including IBM, Intel, and SAP. She has mentored numerous students and leads a multidisciplinary research team at INSITE. She has held editorial leadership roles in Information Systems Research , Journal of AIS , and is founding co-editor of the Journal of Business Analytics . She directs the INSITE Center, which fosters collaboration across business, computer science, and health domains, enabling large-scale data synthesis and knowledge discovery. The center supports projects in healthcare innovation, smart cities, and environmental policy analytics.

• Big Data Analytics
• Business Intelligence
• Large Scale Network Science
• +12 more

Philip Bell is a Professor in the Learning Sciences & Human Development at the University of Washington College of Education . He holds the Shauna C. Larson Endowed Chair in Learning Sciences and serves as Director of the Institute for Science + Math Education . Additionally, he co-directs the LIFE Science of Learning Center , focusing on equity-driven innovation in STEM education. Education : PhD and MEd in Human Development & Cognition, Science/Math Education from UC Berkeley (1998, 1996); BS in Electrical Engineering & Computer Science from University of Colorado Boulder (1989). Bell’s research emphasizes cognitive and cultural approaches to learning across diverse environments, including everyday science expertise , learning technology design , culturally expansive instruction , and large-scale educational reform . His work bridges formal and informal learning contexts , addressing equity through participatory design research. Recent research trends include culturally sustaining pedagogies , climate justice science education , and systemic equity in STEM . His team develops STEM Teaching Tools and collaborates with national networks to improve science standards and instructional coherence. Scientific Awards : Shauna C. Larson Endowed Chair in Learning Sciences. Bell mentors a diverse group of doctoral students and has advised numerous PhD/MEd graduates now in academic and research roles. His projects span K-12 STEM innovation , science communication , and equity-focused policy , including contributions to the Next Generation Science Standards . He leads the Institute for Science + Math Education and collaborates with the Research+Practice Collaboratory , Seattle/Renton school districts, and national teams to scale equitable science education.

• Equity Studies
• Learning Sciences
• Human Development
• +4 more