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Seth LazarView profile

Professor

• AI Ethics
• Ethics of War
• Risk Ethics
• +2 more

Seth Lazar serves as Professor of Philosophy at the Australian National University, holding an Australian Research Council (ARC) Future Fellowship. He maintains dual prestigious affiliations as Distinguished Research Fellow at the University of Oxford Institute for Ethics in AI and Visiting Faculty Researcher at Google DeepMind. Additionally, he contributes as Nonresident Scholar in the Technology and International Affairs Program at the Carnegie Endowment for International Peace, focusing on AI governance and ethical frameworks. His research program bridges philosophical rigor with technical AI challenges through the Machine Intelligence and Normative Theory (MINT) Lab, which he founded. Lazar's work critically examines ethics of war, risk assessment, and AI safety, with publications spanning elite philosophy journals ( Noûs , Philosophy & Public Affairs ) and top computer science venues (ICML, ACM FAccT). His interdisciplinary approach integrates normative theory with practical AI system design. Recent publications reveal three dominant trajectories: anticipatory ethics frameworks for emerging technologies, institutional governance of AI agents, and democratic value preservation in algorithmic societies. Lazar consistently argues for proactive ethical interventions rather than reactive measures, emphasizing institutional adaptation to novel agent types with non-human cognitive profiles. His scientific recognition includes: Australian Research Council Future Fellowship University of Oxford Institute for Ethics in AI Distinguished Research Fellowship Lazar directs the MINT Lab's research agenda on AI safety and normative theory, supported by his ARC Fellowship grant. His collaborations with Google DeepMind and Oxford focus on translating philosophical insights into technical specifications for agent governance. Current projects examine democratic accountability in language model systems and institutional redesign for human-AI cohabitation, with emphasis on preventing platform monopolization of user-agent relationships.

Peter AsaroView profile

Associate Professor

• Artificial Intelligence Ethics
• Robotics
• Military Technology
• +6 more

Professor Peter Asaro is an Associate Professor at The New School's School of Media Studies, specializing in the philosophy of science, technology, and media. His work focuses on artificial intelligence, robotics, and the ethical, legal, and social implications of autonomous systems. He serves as Co-Founder and Co-Chair of the International Committee for Robot Arms Control (ICRAC) and has held research positions at Princeton University, Rutgers University, Umeå University, and the Austrian Academy of Sciences. Education: PhD, MCS, MA, BA His research spans military robotics, AI ethics, surveillance, and the societal impacts of automation. He has contributed to influential publications in journals like IEEE Technology & Society and Robot Law , with a focus on lethal robotics, legal liability, and privacy. Recent work includes critiques of predictive policing algorithms and autonomous weapons systems. Notable awards include the 2010 SXSW Web Interactive Awards for Technical Achievement and Best of Show for his contributions to Apple’s Siri and Microsoft’s Bing math query interfaces. He is currently writing a book on robotics and ethical intersections. Scientific Awards: 2010 SXSW Web Interactive Award for Technical Achievement 2010 SXSW Web Interactive Award for Best of Show Asaro leads funded projects like the Oral History of Robotics (IEEE & NEH) and Regulating Autonomous Artificial Agents (Future of Life Institute). He also contributes to public discourse on technology through his blog and affiliation with 4TU.Ethics and ICRAC.

• Theoretical Neuroscience
• Computational Neuroscience
• Behavioral Neuroscience
• +4 more

Dr. Ann Kennedy is an Assistant Professor of Neuroscience at Northwestern University's Feinberg School of Medicine, where she leads the Kennedy Lab. Her research focuses on theoretical neuroscience, using mathematical modeling and computational approaches to understand how neural circuits produce adaptive behaviors. She investigates how the brain integrates sensory information with survival needs to drive behavior across multiple scales, from single neurons to social groups. Dr. Kennedy received her BS and BA in Biomedical Engineering from Johns Hopkins University in 2008, followed by a PhD in Neuroscience from Columbia University in 2014. She conducted postdoctoral research at the California Institute of Technology before establishing her independent laboratory at Northwestern in 2020. Her research interests center on understanding the computational principles of neural circuits, particularly in subcortical brain regions involved in survival behaviors. She develops theories for distributed behavior control by multiple neural populations, studies computation in heterogeneous neural populations, and constructs richer descriptions of animal behavior using pose estimation and machine learning tools. Her work blends dynamical systems, control theory, reinforcement learning, and machine learning to investigate neural dynamics across multiple scales and model organisms. Dr. Kennedy's recent publications reveal trends in understanding neural heterogeneity, early nervous system evolution, and the theoretical foundations of neuroscience. Her work spans from fundamental computational principles to applications in pain research and behavioral neuroscience, with increasing emphasis on translating theoretical insights to understand neurological conditions. Sloan Research Fellowship, Sloan Foundation (2023) Eppendorf and Science Prize in Neurobiology (2022) McKnight Scholars Award (2024) Pew Scholar in the Biomedical Sciences (2024) Thom Young Researcher Award (2025) Dr. Kennedy actively mentors postdoctoral researchers and collaborates with experimentalists both locally and internationally. Her lab has received significant grant support including the $75,000 Sloan Fellowship and the prestigious McKnight Scholars Award. She co-chairs the CAJAL summer school on quantitative approaches to behavior and serves as Associate Editor for Science Advances. The Kennedy Lab operates at the intersection of theory and experiment, developing community resources like the Mouse Action Recognition System (MARS) for behavioral analysis and contributing to major initiatives like the 2025 Multi-Agent Behavior Challenge on Kaggle. The Kennedy Lab maintains active collaborations with researchers across San Diego and beyond, focusing on theoretical approaches to behavior and neural circuit function. Current projects analyze data from multiple brain regions and organisms, including hypothalamus studies of social and defensive behavior, basal ganglia research on behavior-neural activity correlations, hippocampal studies of social bond formation, and whole-organism neural imaging in cnidarians. The lab values open science, clear communication, and community resource development.

Jesse CrossonView profile

Associate Professor

• American Political Institutions
• Legislative Politics
• Political Economy
• +3 more

Jesse Crosson is an Associate Professor at Purdue University's Department of Political Science and Co-Director of the Program on American Institutional Renewal (PAIR) . His work investigates hyperpartisan institutional transformation , focusing on how insecure majorities , interest groups , and legislative centralization affect policy change and decentralized expertise . He also contributes to Cornerstone Integrated Liberal Arts and Cornerstone for Business teaching sequences. Ph.D. , Political Science, University of Michigan (2019) B.A. (summa cum laude), Political Science, Hofstra University (2013) His research examines: Institutional gridlock mechanisms Legislative polarization dynamics Interest group depolarization roles Electoral reform effectiveness Legislative capacity erosion Artificial intelligence policy development PAIR activities highlight constitutional legacy through Sen. Birch Bayh's work and executive power analysis . Recent publications analyze legislative strategy , AI regulation , and polarized pluralism . The program has expanded with postdoctoral and graduate fellows , including Ayoung Chun (money in politics) and Rylee Crum (economics).

Evgeny Aleksandrovich KanaevView profile

Professor

• International Relations
• Asia-Pacific Studies
• ASEAN Studies
• +4 more

Evgeny Aleksandrovich Kanaev is a Professor and Deputy Head of the Department of Foreign Regional Studies at the Faculty of World Economy and International Affairs, National Research University Higher School of Economics (HSE). He also serves as Head of the Asia-Pacific Sector at the Centre for Comprehensive European and International Studies (CCEIS). With 24 years of scientific and teaching experience, Kanaev has been working at HSE since 2010 and holds multiple positions including Leading Researcher at the Center for Asian-Pacific Studies at IMEMO RAS (since 2008) and Leading Expert at the ASEAN Center at MGIMO (since 2012). His research focuses on international relations in the Asia-Pacific region, with particular expertise in ASEAN studies, digital economy in Southeast Asia, and Russian-ASEAN relations. Kanaev has supervised multiple doctoral candidates including Korolev A.S., Garaeva A.R., and Khatay D., whose research examines ASEAN's role in regional politics and economics. Kanaev's scholarly output demonstrates a strong focus on the digital transformation of Southeast Asian economies, with recent publications analyzing digital economic multilateralism, data localization policies, and the impact of US-China technological rivalry on ASEAN integration. His work consistently bridges theoretical frameworks with practical business applications in the region. Honorary Diploma of the Faculty of World Economy and International Affairs (June 2025) Medal Recognition - 10 years of successful work (July 2024) Gratitude from HSE (December 2022) Best Teacher award (2019, 2017, 2013) Kanaev actively organizes scientific and educational events on Southeast Asia and the Asia-Pacific region, leads projects focused on ASEAN and Asia-Pacific developments, and maintains interaction with educational and academic institutions related to Southeast Asian studies. His language proficiency includes English and Indonesian, facilitating direct engagement with regional partners.

• Organic Functional Materials
• Materials Informatics
• Structural Organic Chemistry
• +4 more

Takuya Taniguchi is an Associate Professor at the Center for Data Science, Waseda University, where he has been employed since 2019, first as an Assistant Professor (2019-2021) before promotion to his current non-tenure track position. His interdisciplinary research bridges organic chemistry, materials science, and data science, with a focus on developing and analyzing functional organic materials, particularly photo-responsive molecular crystals. He maintains active collaborations with research groups including Hideko Koshima and Toru Asahi, and serves on professional committees such as the Manufacturing Industry AI Promotion Association. Education Doctor of Engineering, Waseda University (2019) Graduate studies at Waseda University's Graduate School of Advanced Science and Engineering Undergraduate studies at Waseda University's School of Advanced Science and Engineering, Department of Life Science and Medical Bioscience Research Focus Professor Taniguchi's work centers on structural organic chemistry and physical organic chemistry , with particular emphasis on organic functional materials and the application of materials informatics to crystal engineering. His research investigates how molecular structure influences macroscopic mechanical properties, especially photo-mechanical behaviors in organic crystals. He has pioneered the use of machine learning techniques to predict crystal properties, optimize materials performance, and design novel functional materials with applications in soft robotics and energy conversion. His recent work demonstrates a clear progression from fundamental studies of photo-mechanical crystals toward increasingly sophisticated applications of machine learning in materials science. The 15 most recent publications reveal a strong focus on neural network potentials for crystal property prediction, optimization of photo-actuated materials, and exploration of phase transitions in molecular crystals. This research trajectory shows consistent innovation in combining experimental chemistry with advanced computational methods. Awards and Recognition Inoue Research Encouragement Prize (2019) Ono Azusa Memorial Award from Waseda University (2019) Student Presentation Award at Japan Chemical Society 99th Spring Annual Meeting (2019) Poster Presentation Award at Chirality 2017 Multiple poster and presentation awards at international crystallography conferences Research Leadership Dr. Taniguchi leads multiple research projects funded by JSPS, JST, and industry partners including ENEOS Corporation and Sumitomo Foundation. His current projects include 'Efficient crystal structure prediction for organic porous materials,' 'Machine learning simulation of HOF material stability,' and 'Machine learning application for organic solid-phase transition.' He has successfully secured competitive funding including JST ACT-X and JSPS Early-Career Scientist grants. His work has received significant media attention, with coverage in Nikkan Kogyo Shimbun and Kagaku Kogyo Nippo highlighting breakthroughs in light-driven organic crystals with 3.7x improved output force. Academic Contributions Beyond research, Professor Taniguchi teaches extensively in Waseda's Global Education Center, offering courses in data science, statistical analysis with R, and statistics literacy across multiple academic quarters. He has contributed chapters to technical publications on process informatics, Bayesian optimization, and crystallization process design. His scholarly impact is evidenced by an h-index of 11 (Google Scholar) with 581 total citations, demonstrating significant influence in the emerging field of materials informatics for organic crystals.

Gabriele NataliziaView profile

Associate Professor

• International Relations
• Geopolitics
• Security Studies
• +11 more

Gabriele Natalizia is an Associate Professor in the Department of Political Science at Sapienza University of Rome, where he teaches International Security and Political Science. He is also a Non-Resident Senior Fellow at the Atlantic Council's Europe Center in Washington D.C. starting in 2025, and directs the research center Geopolitica.info. He is affiliated with the Doctoral Program in Political Studies and the Research Center 'Cooperation with Eurasia, the Mediterranean, and Sub-Saharan Africa (CEMAS)' at Sapienza. Additionally, he teaches at the Interforces Staff College (ISSMI) and collaborates with the Italian Parliament's International Policy Observatory and the Ministry of Foreign Affairs (MAECI). His research focuses on international relations, particularly great power competition, NATO strategy, Italian foreign policy, revisionist states, and geopolitical dynamics in the Mediterranean and Indo-Pacific. He contributes extensively to academic and policy debates on transatlantic relations, strategic autonomy, and the liberal international order. His recent publications analyze trends in Italian military deployments, NATO’s strategic evolution, US-Russia relations, and China’s revisionist behavior. The articles reflect a consistent focus on security strategy, power transitions, and regional competition, often from a realist theoretical perspective. Scientific Awards: Taiwan Fellowship Program 2025 Advising and Grants: While specific students are not listed, Natalizia supervises doctoral studies as a member of the PhD College in Political Studies. He leads the Geopolitica.info research center and collaborates with government institutions including MAECI and the Ministry of Defense. His Taiwan Fellowship indicates competitive international grant support. Labs and Teams: He is a core member of the Research Center CEMAS and leads the Geopolitica.info think tank. He also contributes to the Atlantic Council’s Europe Center and participates in high-level defense education at ISSMI.

Peter DuttonView profile

Research Professor

• International Law
• China Studies
• Maritime Security
• +4 more

Peter Dutton is a Senior Research Scholar in Law and Senior Fellow at Yale Law School's Paul Tsai China Center. He previously served as a professor of international law at the U.S. Naval War College, where he also held leadership roles including interim dean of the Center for Naval Warfare Studies and director of the China Maritime Studies Institute. A 40-year veteran of the U.S. Navy (military and civilian roles), Dutton specialized in international law, China studies, and geostrategy. His work focuses on maritime security in the Asia-Pacific, Chinese naval expansion, and legal frameworks governing maritime disputes in the South and East China Seas. Education: Ph.D. in War Studies (King's College London, 2018), J.D. (College of William & Mary, 1993), M.A. (U.S. Naval War College, 1999), B.S. (Boston University, 1982). Affiliations: Non-resident affiliate at Harvard’s Fairbank Center for China Studies and NYU’s US-Asia Law Institute. Research interests include Chinese maritime strategy, sovereignty claims under international law, and the strategic implications of China’s naval and territorial ambitions. His interdisciplinary work bridges legal, political, and military analysis to address contemporary challenges in the Asia-Pacific. Testifying before U.S. Congress and advising policymakers, Dutton has shaped U.S. perspectives on China’s maritime assertiveness. Publications emphasize China’s maritime activities, legal interpretations of EEZs, and U.S.-China maritime cooperation. He critiques China’s claims in the South China Sea and advocates for assertive U.S. adherence to international law in contested zones. Recent work examines China’s overseas military infrastructure (e.g., Djibouti) and gray-zone tactics in maritime disputes. No scientific awards listed. His influence stems from policy engagement rather than traditional academic accolades. Dutton advises on China’s naval modernization, including its surface fleet and submarine capabilities. His career bridges academic research, military service, and government policy, offering unique insights into U.S.-China maritime dynamics.

• Housing Market
• Real Estate Economics
• Tax Policy
• +5 more

Are Oust is a Professor of Financial Economics at the Norwegian University of Science and Technology (NTNU School of Economics) and a Professor II at the Norwegian School of Economics. He specializes in housing market dynamics, real estate economics, and tax policy. His research focuses on housing bubbles, property valuation, and the impact of regulation on real estate markets. Affiliations: NTNU School of Economics (Professor) Norwegian School of Economics (Professor II) Deputy Head of Research at NTNU School of Economics (2021–present) Deputy Director of NTNU Center for Housing and Environmental Economics (2016–present) Education: PhD in Economics, NTNU (2013) Master’s in Accounting and Auditing, Economics, and Business Administration from NHH (Norwegian School of Economics) Bachelor of Science in Economics, NTNU Research Interests: Dr. Oust’s work emphasizes automated valuation models, housing market regulation, energy labeling in real estate, and the interplay between taxation and home ownership. His research has been published in journals such as Quantitative Finance , Journal of Real Estate Research , and Energy Policy . Key Contributions: His studies on housing bubbles, rental market dynamics, and the application of AI in real estate valuation have shaped policy debates. Recent work explores the role of adverse selection in iBuyer models and the predictive power of dwelling conditions in automated valuations. Grants & Leadership: He advises on real estate policy and serves on multiple boards, including the NTNU Center for Housing and Environmental Economics, and private real estate firms like Strinda Eiendom AS. His teaching focuses on personal finance, investment strategies, and tax planning.

Beth GrillView profile

Professor

• National Security Policy
• Security Cooperation
• Global Health Engagement
• +6 more

Beth Grill is a Senior Policy Researcher at RAND Corporation and a Professor of Policy Analysis at the RAND School of Public Policy. She specializes in national security policy, focusing on security cooperation, integrated deterrence, and global health engagement. Grill holds a Master's degree in Middle East studies and economics from Johns Hopkins SAIS and has served in roles such as a Presidential Management Fellow and policy analyst at the U.S. Department of Commerce. Her expertise spans capacity building, combat medicine, and geopolitical strategic competition, with notable work on U.S.-European relations and military budgets. Grill has authored over 80 RAND publications, addressing topics like partner support for air operations, lessons from Afghanistan, and defense spending priorities. Her research emphasizes actionable frameworks for enhancing allied capabilities and adapting to strategic competition dynamics. Grill’s recent studies analyze barriers to interoperability with highly capable allies, fund allocation for global health security, and leveraging security cooperation in Air Force decision-making. Her work consistently bridges policy analysis with real-world operational challenges, offering evidence-based strategies for U.S. defense and foreign policy.

Marc Torrens ArnalView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Recommender Systems
• +7 more

Marc Torrens Arnal is an Associate Professor in the Department of Operations, Innovation and Data Sciences at ESADE Business School, Ramon Llull University. He serves as Academic Director of the Executive Master in Business Analytics and is an active researcher at ESADE D3 – Institute for Data-Driven Decisions. Education: PhD in Artificial Intelligence, École Polytechnique Fédérale de Lausanne (EPFL) Computer Science Engineering, Universitat Politècnica de Catalunya (UPC) Marc's research centers on the application of Artificial Intelligence to solve real-world business and societal challenges. He is particularly passionate about leveraging AI to enhance human decision-making, improve lives, and bridge the gap between academic research and industrial implementation. His work spans machine learning, recommender systems, data-driven marketing, cybersecurity, and ethical AI. He emphasizes practical, impactful innovation grounded in scientific rigor. The most recent articles reflect a strong trend toward applying AI in business analytics, financial technology, and cybersecurity. There is a consistent focus on personalization, decision support, and ethical considerations. His publications span top venues in AI and human-computer interaction, demonstrating a long-standing contribution to both foundational and applied research. Scientific Awards: No awards explicitly mentioned in the text. Marc has advised numerous industry leaders through his entrepreneurial ventures and academic roles. He co-founded Strands, Inc., where he led innovation for over 14 years, building a globally recognized fintech platform. Though no formal students are listed, his leadership in executive education suggests significant mentorship of professionals and entrepreneurs. He has secured substantial real-world impact through patents and commercial deployment rather than traditional research grants. Labs and Research Teams: ESADE D3 - Institute for Data-Driven Decisions

Peter SadowskiView profile

Associate Professor

• Machine Learning
• Artificial Intelligence
• Deep Learning
• +3 more

Dr. Peter Sadowski is an Associate Professor at the University of Hawaii at Mānoa in the Department of Information and Computer Sciences. His research focuses on machine learning and artificial intelligence, with an emphasis on deep learning applications in science and engineering. Ph.D., Computer Science, University of California, Irvine (2016) B.S., Computer Science, California Institute of Technology (2009) Dr. Sadowski's research explores the intersection of machine learning and scientific domains. He develops deep learning models to solve complex problems in physics, astronomy, and climate science, while advancing foundational neural network techniques like random backpropagation. His recent publications highlight deep learning's versatility, including applications in antimatter physics, particle physics, and interdisciplinary collaborations. Current projects aim to improve computational models for scientific data analysis and climate adaptation. NSF CAREER Award (2023) for machine learning in climate adaptation DOE Solar Forecasting Competition Prize (2022) NSF Awards (2021) for self-supervised learning in microbiome science and astronomy Dr. Sadowski teaches machine learning courses and runs an open AI seminar for students and faculty. He contributes to open-source machine learning tools like SHERPA (Hyperparameter optimization) and Keras tutorials.

Ellen M. ConsidineView profile

Assistant Professor

• GeoHealth
• Planetary Health
• Data Science
• +7 more

Ellen M. Considine is an incoming Assistant Professor of Geography and Fellow of CIRES at the University of Colorado Boulder, starting August 2025. Her work integrates environmental change, health and wellbeing, and data science to develop pragmatic, equitable solutions for public and planetary health challenges. Education: PhD in Biostatistics from Harvard University (2025) BS in Applied Mathematics from CU Boulder Research Interests: GeoHealth and Planetary Health Applied Statistics and Data Science Policy and Decision-Making under Uncertainty Environmental Justice in Air Quality AI/ML Applications for Climate-Health Low-Cost Sensor Networks for Equitable Monitoring Scientific Awards: American Statistical Association Student Paper Competition Winner (2024) NSF Graduate Research Fellowship (2020) CU Boulder Outstanding Graduate (2020) Publications focus on causal inference for plastic waste policy analysis, AI-driven heat alerts, sensor equity in air quality, wildfire PM2.5 modeling, and interdisciplinary data science applications. She emphasizes environmental justice and equity in all projects.

Andreas RauscheckerView profile

Assistant Professor

• Artificial Intelligence
• Medical Imaging
• Neuroradiology
• +5 more

Dr. Andreas Rauschecker is a neuroradiologist at the University of California San Francisco (UCSF), specializing in advanced imaging technologies (CT, MRI) for diagnosing nervous system disorders in adults and children. He employs AI and image-processing techniques to enhance diagnostic accuracy and collaborates with multidisciplinary teams to improve patient outcomes. Fellowship in Neuroradiology, University of California San Francisco (2020) MD PhD in Neuroscience, Stanford University (2013) MSc in Neuroscience, Oxford University (2005) BS in Biology & Psychology, Georgetown University (2004) His research focuses on applying artificial intelligence to neuroimaging, particularly for conditions like multiple sclerosis, brain tumors, and developmental disorders. He investigates how AI can standardize myelination assessments, detect lesions, and reduce reliance on contrast agents in MRI. Recent publications highlight his work on automated lesion segmentation, transfer learning for MRI analysis, and large language models in radiology. Collaborative efforts include multi-institutional datasets for meningioma and glioma segmentation, emphasizing reproducibility and open science. UCSF Chen Scholar (2024-2026) UCSF Weill Award for Clinician-Scientists (2023) ASNR/ASfNR MIT-E Scholarship (2019) NVIDIA GPU Seed Grant (2018) RSNA Roentgen Fellow Research Award (2019) Rauschecker mentors trainees and collaborates on grants related to AI-driven radiology tools. His work bridges clinical practice and computational innovation, aiming to integrate cutting-edge technologies into standard neuroradiology workflows.

Mark JohnmanView profile

Lecturer

• Data Science
• Marketing Communications
• Finance
• +3 more

Mark Johnman is a Lecturer at the Bond Business School, Bond University. His role focuses on teaching and academic contributions in the field of marketing communications and data science applications across multiple disciplines. He holds a Ph.D. from Bond Business School, completed in June 2021. His doctoral thesis, Quantifying Advertising Media Effectiveness: Insights from Data-Driven Modelling , was supervised by Bruce J Vanstone and Adrian Gepp. Research Interests : Johnman’s research centers on quantifying marketing communication effectiveness using data science techniques. He explores applications of data analytics in sports performance optimization, financial market sentiment analysis, and health-related decision-making. His work integrates Bayesian methods, predictive analytics, and machine learning to enhance persistence modeling and decision support systems for organizations. Articles Trends : His publications reflect a focus on leveraging sentiment analysis and big data in finance and sports. Recent works include improving athlete/team performance through data-driven strategies and analyzing investor sentiment impacts on markets. Earlier research applied sentiment analysis to predict stock market volatility and returns. Advising & Grants : Johnman has participated in non-HDR student supervision (2016) alongside Bruce Vanstone but no specific student names are listed. No grants are detailed in the provided texts. His research outputs include 4 peer-reviewed contributions (2 articles, 2 abstracts) between 2018–2020.