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Charles BlahousView profile

Visiting Professor

• Retirement Security
• Social Security
• Defined Benefit Pensions
• +12 more

Charles Blahous is a Visiting Fellow at the Hoover Institution, part of Stanford University, specializing in domestic economic policy with a focus on retirement security, Social Security, employer-provided pensions, fiscal policy, entitlements, and healthcare reform. His professional background includes significant government service, having served as one of the two public trustees for Social Security and Medicare Programs from 2010 to 2015, deputy director of President Bush's National Economic Council from 2007 to 2009, and special assistant to the president for economic policy from 2001 to 2007. Blahous earned his PhD in computational quantum chemistry from the University of California at Berkeley and an AB from Princeton University, where he won the McKay Prize in Physical Chemistry. His academic background in science provides a unique analytical perspective to his economic policy work. His research interests span retirement security with emphasis on Social Security and employer-provided defined benefit pensions, federal fiscal policy, entitlements, demographic change, economic stimulus, financial market regulation, and health care reform. He approaches these topics with a focus on fiscal sustainability and policy realism, often challenging conventional political narratives with data-driven analysis. His work frequently addresses the long-term solvency challenges of major federal entitlement programs and the political obstacles to meaningful reform. Blahous's publications demonstrate consistent focus on entitlement program sustainability, particularly Social Security and Medicare, with recent work examining the political dynamics of fiscal policy and the practical realities of healthcare reform. His analysis often bridges technical policy details with accessible political commentary, making complex economic issues understandable to broader audiences. SmartMoney's 'Power 30' list (2005) Public Trustee for Social Security and Medicare Programs (2010-2015) Throughout his career, Blahous has advised multiple presidential administrations and congressional committees on economic policy matters. His experience spans both academic research and direct government service, giving him a comprehensive understanding of policy development from both theoretical and practical perspectives. He has testified before congressional committees on multiple occasions regarding Social Security, Medicare, and broader fiscal policy issues.

Justine NolanView profile

Professor

• Business and Human Rights
• Modern Slavery
• Supply Chain Responsibility
• +4 more

Professor Justine Nolan serves as the Director of the Australian Human Rights Institute and a Professor in the Faculty of Law and Justice at UNSW Sydney. With over 25 years of experience, she is an internationally recognized expert in modern slavery and human rights issues relating to business practices. Her career has included significant advisory roles with business, civil society, government, and the United Nations, and she has been a key driver of the Australian and global business and human rights movement. Professor Nolan holds an MPP from the University of California, Berkeley, and both an LLB(Hons) and BSc from the Australian National University. Her educational background provides a strong foundation for her interdisciplinary approach to human rights and business issues. Nolan's research focuses on the intersection of business and human rights, particularly supply chain responsibility for human rights and modern slavery. Her work is noted for both conceptual clarity and practical application, setting strategic paths to address significant business and human rights challenges. She has led major research projects, including one on 'transformative business practices' funded by the Laudes Foundation, which identifies and tests replicable business practices for just transitions in global supply chains. Her influential publications include the 2019 co-authored book Addressing Modern Slavery , The International Law of Human Rights (OUP, 2017), and Business and Human Rights: From Principles to Practice (Routledge, 2016). Professor Nolan's scholarly output reveals consistent focus on modern slavery legislation, supply chain transparency, human rights due diligence, and corporate accountability. Her work demonstrates a progression from theoretical frameworks to practical applications, with increasing emphasis on remediation mechanisms and regulatory effectiveness in recent years. UNSW Arc Postgraduate Outstanding Research Supervisor Award (2020) Academic of the Year, Australian Law Awards (2019) UNSW Vice Chancellor's Award for Teaching Excellence (2018) UNSW Plus Alliance Fellow (2019-2020) Professor Nolan has supervised numerous doctoral students on topics including human rights protection in manufacturing supply chains, extraterritorial processing of refugees, the lithium extractive sector and corporate human rights compliance, and remedying corporate human rights violations. She has secured substantial research funding, including grants from the Laudes Foundation (EUR238,033), Freedom Fund (US$72,727), and Australian Government programs. Her teaching portfolio includes International Human Rights Law and Advocacy, Business and Human Rights, and Human Rights Law in Practice. As Director of the Australian Human Rights Institute, Nolan leads a major research center focused on business and human rights issues. She has held significant leadership roles including Deputy Director of the Australian Human Rights Centre (2006-2017) and Associate Dean Academic at UNSW Law (2016-2019). She continues to influence policy through appointments to the Australian Government's Modern Slavery Expert Advisory Group (2020, reappointed 2024) and other expert panels.

Anna RogersView profile

Associate Professor

• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• Model Interpretability
• +4 more

Anna Rogers is a tenured Associate Professor at the IT University of Copenhagen , where she leads research in the Data Science Section . Her work bridges NLP , large language models (LLMs) , and sociotechnical impacts of AI , with a focus on interpretability, robustness, and ethical frameworks. She serves as co-editor-in-chief of ACL Rolling Review and is a Villum Young Investigator and ELLIS fellow . Education: PhD in Computational Linguistics (University of Tokyo), Postdocs in Machine Learning for NLP (University of Massachusetts, Lowell) and Social Data Science (University of Copenhagen) Her research explores how LLMs can be designed for transparency and fairness, with recent grants like the Villum Synergy and Inge Lehmann supporting interdisciplinary collaborations. She organizes workshops (e.g., Dagstuhl seminar 24052) and co-leads projects like CAISA (National Centre for Artificial Intelligence in Society). Key themes include: Interpretability in NLP Robustness against synthetic content Data governance and ethical use Peer review systems and academic publishing Her lab has hosted researchers such as Max Müller-Eberstein (funded by DFF) and is actively recruiting for projects on generalization benchmarks and data attribution. She emphasizes collaboration across academia, industry, and policy, shaping Denmark's data science future through roles like the Danish Data Science Academy committee. Recent articles highlight trends in corpus analysis , temporal annotation , and LLM governance .

• Cognitive Neuroscience
• Neuropsychology
• Traumatic Brain Injury (TBI)
• +7 more

Michael J. Larson is a Professor of Psychology in the College of Family, Home, and Social Sciences at Brigham Young University (BYU), where he directs the Clinical Cognitive Neuroscience and Neuropsychology (CCNN) Lab. His research integrates neuropsychology and cognitive neuroscience methodologies to investigate cognitive control mechanisms in healthy individuals and cognitive dysfunction following traumatic brain injury (TBI). He employs advanced techniques including event-related potentials (ERPs) and functional magnetic resonance imaging (fMRI) to examine neural correlates of cognitive processes. Dr. Larson's research program has four primary aims: (1) Investigating behavioral and neural reflections of cognitive control using ERP/fMRI; (2) Understanding lifespan developmental trajectories of cognitive control in neurologic insult or psychopathology (TBI, autism, depression); (3) Examining cognitive control's role in exercise and food-related behaviors including obesity; (4) Determining psychometric properties of biological measures for clinical application. His work spans traumatic brain injury recovery, exercise cognition, food inhibitory control, and psychopathology-neurocognition interactions. His publication trends reveal strong focus on methodological rigor in psychophysiology, with recent articles emphasizing ERP reliability across paradigms, preregistration practices, and multiverse analysis approaches. Key research domains include TBI rehabilitation (particularly via photobiomodulation and HRV biofeedback), sex differences in concussion mechanisms through the LIMBIC MATARS Consortium, and neural markers of food-related inhibitory control. Editor-in-Chief, International Journal of Psychophysiology (2016-Present) Top-Cited Scholar for Scientific Field (2019) Martin B. Hickman Innovation in Teaching Award (2018) University Young Scholar Award (2015) College Outstanding Young Alumnus, University of Florida (2014) Dr. Larson mentors students through the BYU Chapter of the Association of Neuropsychology Students and Trainees (ANST) and collaborates extensively with Dr. Tricia Merkely, Dr. Derin Cobia, and Dr. Shawn Gale on clinical neuropsychology training. His lab emphasizes rigorous methodology and psychometric validation, contributing significantly to standards in electrophysiological research through editorial leadership and methodological publications.

Marie VasekView profile

Lecturer

• Cybersecurity
• Cybercrime Measurement
• Security Economics
• +6 more

Dr. Marie Vasek is a Lecturer in Information Security at the Department of Computer Science, University College London (UCL) . She joined UCL in August 2019 after serving as an Assistant Professor at the University of New Mexico (UNM) from 2017-2019. PhD in Computer Science (2017) - University of Tulsa, advised by Dr. Tyler Moore MSc in Computer Science (2015) - SMU BA in Computer Science & Mathematics (2012) - Wellesley College Her research spans computer security, focusing on security economics and cybercrime measurement . Key areas include cryptocurrency fraud (pump-and-dumps, Ponzi schemes), SMS scams, decentralized finance (DeFi) deception, and ethical challenges in security research. Recent work examines physical cryptocurrency attacks ("wrench attacks"), regulatory frameworks for CBDCs, and social media's role in illicit drug advertising. Dr. Vasek has received notable recognition, including the 2016 Google Anita Borg Scholarship . She co-directed StopBadware (2011-2020) and contributes to UCL's teaching through courses like COMP0141 Security and COMP0057 Research in Information Security . Her publications appear in venues like USENIX Security , IEEE Blockchain Conference , and Workshop on the Economics of Information Security .

Margot KaminskiView profile

Professor

• Privacy Law
• Artificial Intelligence Law
• First Amendment Law
• +6 more

Margot Kaminski is a Professor of Law and Director of the Privacy Initiative at Silicon Flatirons Center for Law, Technology and Entrepreneurship at the University of Colorado Law School. Her work focuses on AI law, privacy, and First Amendment issues in technology contexts. Current affiliations: University of Colorado Law School, European University Institute (Fernand Braudel Senior Fellow), Berkman Klein Center at Harvard (Faculty Associate) Past roles: Assistant Professor at Ohio State University Moritz College of Law, Executive Director of Yale's Information Society Project Research Interests: AI and algorithmic accountability Data privacy and GDPR analysis First Amendment in digital contexts Copyright law and technological authorship Surveillance law and civil liberties Scientific Awards: 2022 Jules Milstein Scholarship Award 2020 Future of Privacy Forum Privacy Papers for Policymakers Award 2019 University of Colorado Provost's Faculty Achievement Award 2016 Junior Scholar Award (Privacy Law Scholars Conference) Grants & Fellowships: Fulbright-Schuman Innovation Grant (2018) Fulbright-Schuman Grant and Fernand Braudel Senior Fellowship (2024, European University Institute) Key contributor to legal scholarship in Yale Law Journal , Columbia Law Review , and Harvard Law Review , with a focus on the interplay between technology and constitutional rights. Director of the Privacy Initiative at Silicon Flatirons, a research center addressing law and technology intersections. Regularly publishes on AI governance and privacy law in leading journals.

Olivia PetitView profile

Lecturer

• Consumer Neuroscience
• Sensory Marketing
• Digital Marketing
• +4 more

Dr. Olivia Petit is a Lecturer and researcher in Marketing at KEDGE Business School specializing in consumer neuroscience, sensory marketing, and digital marketing. Her research employs advanced methodologies including functional magnetic resonance imaging (fMRI) studies to investigate mental imagery and multisensory interactions in consumer experiences. Her research interests focus on consumer neuroscience , sensory marketing , digital marketing , AR/VR applications , and food marketing . Dr. Petit examines how sensory cues influence consumer behavior, particularly in digital environments, with emphasis on visual, auditory, and tactile elements that shape consumer experiences and decision-making processes. Analysis of her recent publications (2021-2024) reveals a strong trajectory toward multisensory digital experiences , ethical considerations in customer experience , and advanced applications of extended reality in marketing contexts. Her work bridges neuroscience, psychology, and business applications with particular focus on food and beverage marketing. Scientific recognition includes: Nestlé Foundation award (2012) EMAC McKinsey Marketing Dissertation Award (2015) Dr. Petit has established significant collaborations with researchers across Europe and has published in top-tier journals spanning marketing, neuroscience, psychology, and food science domains. Her work demonstrates a consistent focus on understanding the cognitive and sensory mechanisms underlying consumer behavior in both traditional and digital contexts. Her laboratory work incorporates advanced technologies including virtual reality systems and neuroimaging techniques to explore how multisensory cues influence consumer perception, decision-making, and behavior in retail and online environments.

J. Nathan MatiasView profile

Assistant Professor

• Digital Governance
• Human-Algorithm Interaction
• Social Media Ethics
• +4 more

J. Nathan Matias is an Assistant Professor in the Cornell University Department of Communication, where he leads the Citizens & Technology Lab (CAT Lab). His work bridges social psychology, computer science, and digital governance, focusing on human-algorithm interaction and technology policy. Education: Doctorate (2017), Massachusetts Institute of Technology Master of Science (2013), Massachusetts Institute of Technology Master's Degree (2008), University of Cambridge Bachelor of Arts (2008), Elizabethtown College Research focuses on digital governance, human-algorithm behavior, and social media ethics. He investigates how AI systems shape group dynamics, develops methods for public accountability in technology policy, and explores ethical frameworks for digital research. His lab collaborates with social media platforms, news organizations, and policymakers. Recent publications examine algorithmic compliance challenges, data refusal strategies, and behavioral impacts of digital technologies. His work addresses systemic issues like faculty diversity in academia and misinformation mitigation. He received the Rise25 Award from Mozilla (2023) for science-oriented public engagement. Awards & Recognition: Rise25 Award, Mozilla (2023)

Carl Benedikt FreyView profile

Associate Professor

• Future of Work
• Artificial Intelligence
• Automation
• +5 more

Carl Benedikt Frey is the Dieter Schwarz Associate Professor of AI & Work at the Oxford Internet Institute and a Fellow of Mansfield College, University of Oxford. He serves as Director of the Future of Work Programme and Oxford Martin Citi Fellow at the Oxford Martin School. His career spans roles such as Senior Fellow at the Institute for New Economic Thinking (University of Oxford) and Associate Fellow at Lund University’s Department of Economic History. His research focuses on technological change, automation, and their societal impacts , drawing parallels between historical industrial revolutions and current AI-driven disruptions. He is best known for the 2013 paper The Future of Employment: How Susceptible Are Jobs to Computerisation? (with Michael Osborne), which has shaped global discourse on automation risk. His 2019 book The Technology Trap expands on these themes, examining the economic and political consequences of technological progress. The articles section highlights Frey’s work on AI’s influence across domains: from Generative AI’s role in reshaping work to geopolitical implications of automation and demographic transitions in aging societies. His analysis often bridges historical economic patterns and modern technological challenges , emphasizing the need for policy adaptation. Scientific awards include the Princeton University Richard A. Lester Prize (2019) and fellowships at the Royal Society of Arts and Oxford Martin School. He advises governments (e.g., UK House of Lords Digital Skills Select Committee, Swedish Government’s Digitalisation Commission), international organizations (OECD, UN), and Fortune 500 companies. Media outlets like The Economist , New York Times , and BBC frequently feature his insights on AI and labor markets.

• Power Systems
• Wind Power Integration
• Grid-Forming Converters
• +6 more

Peiyuan Chen is an Associate Professor at the Department of Electric Power Engineering, Chalmers University of Technology. He holds a B.Eng. from Zhejiang University (2004), an M.Sc. from Chalmers (2006), and a Ph.D. from Aalborg University (2010). His research focuses on power system operation and planning with wind power integration, emphasizing time series modeling, statistical analysis, and optimization. He contributes to projects on grid-forming converters, inertia estimation, frequency control, and renewable energy system stability. Research Interests: • Power Systems and Renewable Integration • Grid-Forming Converters and Stability Analysis • Time Series Modeling and Statistical Methods • Machine Learning for Energy Applications • Frequency Control and Synthetic Inertia Recent Publication Trends include studies on deep learning for heating load classification, wind turbine type optimization, fault ride-through capabilities, and inertia estimation in converter-dominated grids. His work bridges theoretical power system analysis with practical implementations in Nordic and European energy networks. Projects (2017-2024) include grants from the Swedish Energy Agency, Swedish Research Council (VR), and collaborations with institutions in Sweden, China, and Italy. Key areas: grid strength metrics, multiport converter applications, and citizen energy communities.

Danijel KarolyiView profile

Professor

• Animal Science
• Meat Quality Assessment
• Pig Breeds
• +7 more

Prof. Danijel Karolyi is a Full Professor at the Department of Animal Science, Faculty of Agriculture, University of Zagreb, with a focus on meat quality, genetic diversity in pig breeds, and animal welfare. He has held academic roles since 1998, advancing from Assistant to Professor in 2018. His expertise spans traditional meat product technology, stress physiology, and conservation of local livestock breeds. PhD in Animal Science, University of Zagreb (2003-2007) Master’s in Animal Science, University of Zagreb (1998-2002) Graduate thesis, University of Zagreb (1990-1998) His research centers on the genetic and nutritional factors influencing carcass and meat properties, with emphasis on local breeds like the Turopolje and Black Slavonian pigs. He investigates stress adaptation, proteolysis/lipolysis during curing, and sustainable production systems. Recent work includes EU-funded genomic studies and optimizing traditional processing techniques. Article trends reflect interdisciplinary approaches to meat science, combining genetics, food chemistry, and socio-economic analysis. Topics include fatty acid profiling, geographical indications, cross-fostering impacts, and disease effects on biodiversity. Collaborative EU projects dominate his recent publications. Editorial board member, Meso journal (2008-2021) Animal Science Section Editor, Agriculturae Conspectus Scientificus (2016-2020) Commission member for EU PGI label specifications for Drniš ham and Slavonian kulen Prof. Karolyi has coordinated university projects on animal genetics and quality assessment. He serves as a consultant for Croatian agricultural agencies and has provided expert training in carcass evaluation and animal welfare. His professional activities include workshops across Europe on meat processing and conservation of animal genetic resources.

Paolo GiudiciView profile

Professor

• Corporate Law
• Securities Regulation
• Capital Markets Law
• +4 more

Paolo Giudici is a Full Professor of Business Law at the Faculty of Economics, Free University of Bozen-Bolzano, where he teaches Commercial Law in the undergraduate Economics and Management program and an advanced Commercial Law course for the Master's in Accounting and Finance. His academic profile integrates rigorous scholarship with substantial practical legal experience. Education: Law Degree, Genoa Law School (1987, magna cum laude) Professor Giudici's research centers on civil liability in business law and capital markets law, with particular expertise in European securities regulation, shareholder rights, and the legal frameworks governing digital assets. His work critically examines the interplay between public and private enforcement mechanisms in securities markets, corporate governance structures, and the impact of regulatory reforms on financial systems. He approaches legal questions with a practitioner's perspective, informed by his extensive background in legal practice. Analysis of his recent publications (2022-2024) reveals a dominant focus on European securities law evolution, shareholder inspection rights across jurisdictions, and the regulatory challenges posed by crypto-assets under MiCA. A significant trend involves dissecting how traditional corporate governance mechanisms adapt to digital finance innovations and the concentration of asset management power among large institutional investors. Scientific Positions: ECGI (European Corporate Governance Institute) Research Associate Editorial Board Member of 'Le Società' (responsible for capital markets law section) Professor Giudici maintains an active dual career path: alongside his academic duties, he serves as legal counsel, advocate, and expert witness in business law matters, bringing real-world insights into his teaching and research. His professional engagement extends to organizing practitioner-focused events, such as the upcoming conference on 'Permanent establishment in income tax and VAT' scheduled for February 14, 2025 at the Free University of Bolzano. His scholarly contributions bridge academic theory and legal practice, particularly through his analysis of enforcement mechanisms in financial markets and the adaptation of corporate law to technological disruption in capital markets.

• Corporate Finance
• Corporate Governance
• Risk Management
• +8 more

Dr Jiao Ji serves as Lecturer in Finance and Programme Director of Accounting, Governance, and Financial Management at the University of Sheffield Management School, where she actively contributes to the Accounting and Financial Management division and Centre for Research into Accounting and Finance in Context (CRAFiC). Her academic credentials include: BSc. in Accounting (CPA) from Southwestern University of Finance and Economics MSc. in Economics and Finance from Durham University Ph.D. in Finance and Accounting from University of Sheffield Specializing in empirical corporate finance and governance, Dr. Ji employs advanced big data analytics and textual analysis to investigate corporate risk, misconduct, and disclosure practices. Her research extends into banking, financial innovations, ESG/CSR initiatives, and behavioral finance, with particular emphasis on extracting insights from corporate disclosures and social media content through machine learning methodologies. Her publication record (2018-2025) reveals consistent focus on governance-risk relationships using innovative quantitative approaches. Recent work applies double machine learning to healthcare diversity studies, examines shareholder structures in stock crash risk, and investigates legal enforcement in fintech credit across international contexts. China-based evidence features prominently in her corporate governance research. Professional recognition includes: Fellow of the Higher Education Academy (FHEA) Dr. Ji currently supervises three PhD candidates researching P2P lending dynamics, CEO organizational identification, and boardroom education impacts, while previously guiding research on bank CSR and governance. Her externally funded projects address critical industry issues: Exploring the Link Between Toxic Culture in Banks and Misconduct: Machine Learning Approach (British Academy/Leverhulme, 2023, £9,070) Enhancing Sustainable Supply Chain Management with Big Data Analytics (The Grantham Centre, 2024, £8,500) As an active member of CRAFiC, she collaborates on interdisciplinary finance research while serving as Associate Editor for Qualitative Research in Financial Markets and Committee Member for BAFA's Corporate Governance Special Interest Group.

• Machine Learning
• Network Performance
• IoT Security
• +3 more

Andreas Johnsson is an Adjunct Senior Lecturer at the Department of Information Technology , Uppsala University, Sweden. His research spans Machine Learning , Network Performance , and IoT Security in the context of 5G/6G Networks and Edge Computing . Research interests include federated learning, transfer learning, and network optimization techniques. His recent work (2024-2021) focuses on self-regulated learning models for 6G, multi-objective neural architecture search, IoT intrusion detection generalizability, and delay prediction in heterogeneous networks. He has co-authored over 15 publications in high-impact venues like IEEE Transactions on Machine Learning in Communications and Networking and IEEE NOMS . Andreas actively collaborates with researchers such as Jalil Taghia, Farnaz Moradi, and Hannes Larsson. His contributions extend to change detection algorithms, policy adaptation frameworks, and feature selection methodologies in dynamic network environments. No formal scientific awards or student advisement details are currently documented.

Natalia UmanskyView profile

Research Fellow

• Computational Social Science
• Political Communication
• International Relations
• +4 more

Natalia Umansky serves as a Postdoctoral Research Fellow in Political Science at the University of Zurich's Faculty of Arts and Social Sciences, affiliated with the Institute of Political Science and the Digital Democracy Lab within the Digital Society Initiative (DSI). Her institutional profile highlights interdisciplinary engagement across DSI's Cybersecurity, Democracy, and Digital Humanities communities. Academic Background: PhD in Politics and International Relations (defence pending) from University College Dublin Iseult Honohan Scholar at University College Dublin's Connected_Politics Lab Her research pioneers Computational Social Science methodologies to analyze social media ecosystems, specializing in securitization theory applications to digital political communication. Current projects examine agenda-setting constellations in financial policy, hate speech detection frameworks, and TikTok's impact on youth political engagement. Methodologically, she integrates network analysis, natural language processing, and comparative case studies to investigate how security narratives propagate across digital platforms and influence democratic processes. Publication trends reveal a strategic evolution from foundational work on terrorism-migration linkages (2016) toward cutting-edge examinations of AI moderation systems (2024) and generative AI's role in security discourse (2025). Her scholarship consistently bridges political theory, data science, and platform governance with emphasis on empirical validation of computational models. Scientific Recognition: Iseult Honohan Scholar (University College Dublin) As a core member of Zurich's Digital Democracy Lab, Umansky contributes to high-impact collaborative projects analyzing digital threats to electoral integrity and developing transparency standards for algorithmic governance. Her work positions her at the forefront of computational political science, with emerging leadership in establishing methodological best practices for social media analysis in security contexts.