جست‌وجوی استاد و پژوهشگر

Adrian Wellerمشاهده پروفایل

استاد پژوهشی

• Artificial Intelligence
• Machine Learning
• Explainability
• +۹ مورد دیگر

Adrian Weller is a prominent researcher and academic at the University of Cambridge, serving as a Director of Research in Machine Learning within the Department of Engineering. He holds multiple significant leadership roles including Programme Director for Trust and Society at the Leverhulme Centre for the Future of Intelligence (CFI), and previously served as Programme Director for AI at The Alan Turing Institute, the UK national institute for data science and AI. His work bridges theoretical machine learning research with practical applications and societal implications of artificial intelligence. Weller's research interests span a broad spectrum of AI and machine learning topics with a particular focus on ensuring beneficial societal outcomes. His work encompasses explainability, fairness, robustness, scalability, privacy, safety, and ethics in AI systems. He has made significant contributions to trustworthy machine learning, including developing frameworks for AI governance, certification, and human-AI collaboration. His research group actively investigates neuro-symbolic approaches, privacy-preserving techniques, and methods for improving the reliability and interpretability of AI systems. His recent publications demonstrate a strong trend toward addressing the practical challenges of deploying AI systems in real-world contexts, particularly focusing on certification frameworks, governance mechanisms, and human-centered approaches. His work spans theoretical advances in machine learning architectures while maintaining a strong connection to societal impact, with publications appearing in top venues across AI, machine learning, and interdisciplinary applications. Scientific Awards: MBE for services to digital innovation (2022 Queen's Birthday Honours) Turing AI Fellowship for Trustworthy Machine Learning Weller actively supervises a large group of PhD students and postdocs, with current students including Juyeon Heo, Yanzhi Chen, Katie Collins, Isaac Reid, Yichao Liang, Herbie Bradley, and Shoaib Siddiqui. His former students have gone on to positions at leading institutions including Google DeepMind, ETH Zurich, NYU, and MPI-IS Tübingen. He has served on numerous advisory boards including the Centre for Data Ethics and Innovation, UNESCO's expert group on AI ethics, and the World Economic Forum's Global Future Council on AI. His research has been supported through his Turing AI Fellowship and various collaborative projects focused on safe and ethical AI development. Weller leads a vibrant research group focused on trustworthy machine learning, which actively organizes workshops and conferences including ICML 2024 (where he served as Program Chair), multiple workshops on responsible AI, and events through the ELLIS network. His group collaborates extensively across disciplines, working with researchers in computer science, social sciences, law, and policy to address the multifaceted challenges of developing beneficial AI systems.

Robin Jiaمشاهده پروفایل

استادیار

• Natural Language Processing (NLP)
• Deep Learning
• Artificial Intelligence
• +۷ مورد دیگر

Robin Jia is an Assistant Professor in the Thomas Lord Department of Computer Science at the University of Southern California (USC) , where he leads the AI, Language, Learning, Generalization, and Robustness (Allegro) Lab . His research focuses on enhancing the reliability and robustness of large language models (LLMs) through mechanistic understanding, benchmarking under distribution shifts, and neurosymbolic integration. Key affiliations include collaborations with the USC Keck School of Medicine and contributions to legal frameworks like the EU's Digital Services Act. Robin's research spans multiple domains, including: Scientific analysis of LLM capabilities in in-context learning , data memorization , and numerical reasoning Advancements in robust NLP systems , emphasizing uncertainty estimation and calibration Development of methods combining LLMs with symbolic solvers for complex reasoning tasks Interdisciplinary applications in medicine and law , such as privacy-preserving synthetic data generation and medical misconception evaluation . His recent publications (2024-2025) address Fourier-based numerical embeddings (NeurIPS), neurosymbolic planning (NAACL), and multimodal benchmarking (COLM), with a strong emphasis on privacy , fairness , and transparency . Scientific awards include the Google Research Scholar Award (2023) , SoCalNLP Symposium Best Paper Awards , and ACL/EMNLP outstanding papers . He advises PhD students like Johnny Wei and Ameya Godbole, and has secured grants from the NSF , USC-Capital One , and USC-Amazon .

• Critical Mental Health
• Postcolonial Theory
• Critical Race Theory
• +۱۰ مورد دیگر

Ameil Joseph is an Associate Professor at McMaster University's School of Social Work, where they contribute to critical scholarship at the intersection of mental health, race, and social justice. Their work examines how ideas about difference, normalcy, sexuality, eugenics, race, ability and mental 'illness' cohere and perform within policy, law and practice, with over a decade of professional experience in mental health settings including supportive housing, settlement services, crisis respite, and forensic community treatment. Education: Ph.D in Social Work, York University (2009-2014) MSW, Wilfrid Laurier University (2005-2007) BA in Psychology, University of Waterloo (1998-2003) Dr. Joseph's research engages with critical mental health, postcolonial theory, critical race theory, and critical disability studies to examine the historical production of ideas about difference. Their scholarship particularly focuses on how these ideas manifest in mental health systems, immigration policy, and criminal justice, with attention to issues of social justice, violence, ethics, and confluence. Their work bridges theoretical frameworks with practical implications, addressing the complex interplay of colonialism, racism, sanism, and eugenics in contemporary social systems. Analysis of Dr. Joseph's recent publications reveals a sustained focus on colonial and eugenic violence within mental health, immigration, and criminal justice systems. Their scholarship consistently examines how racism, sanism, and ableism intersect to produce particular forms of state violence, particularly against racialized immigrants with mental health conditions. Recent work has expanded to address temporal dimensions of oppression, data colonialism, and community responses to grief and loss during the pandemic, demonstrating both theoretical sophistication and practical relevance to current social issues. Scientific Awards: University Scholar 2025 - Recognized for research leadership and impact among eight McMaster professors honored as University Scholars Dr. Joseph has secured significant research funding, including nearly $75,000 from the Social Sciences and Humanities Research Council (SSHRC) for community-engaged projects addressing social justice issues. Their teaching portfolio includes advanced courses on critical mental health perspectives, race and colonialism in Canadian society, and social justice theory. While specific graduate students aren't listed in available materials, their extensive co-author network suggests active mentorship and collaboration. Dr. Joseph contributes to community-based initiatives in Hamilton addressing racism in healthcare and mental health systems, connecting academic scholarship with practical community responses to systemic issues. Dr. Joseph maintains an active presence in community responses to contemporary challenges, particularly through initiatives addressing grief during the pandemic and systemic racism in healthcare. Their work exemplifies the integration of scholarly rigor with community engagement, demonstrating how academic research can inform and be informed by real-world social justice efforts.

• Strategic Human Resource Management
• Work and Employee Well-being
• Job Satisfaction
• +۳ مورد دیگر

Professor Peter Boxall is a Chair in Human Resource Management at the University of Auckland Business School, Department of Management & International Business. He holds a PhD from Monash University and an MCom from the University of Auckland. His research focuses on strategic human resource management and work-related well-being, with notable contributions to understanding high-involvement work systems and HR analytics. He has held visiting professorships at Leeds, Tilburg, and Toulouse, among others. His roles include Associate Dean (Research and PBRF) and leadership in editorial boards for journals like Human Resource Management Journal . Notable awards include the 2023 Distinguished Fellow of HRNZ and multiple Emerald Awards. He teaches courses such as MGMT 304 HR Policy and Practice and supervises PhD students in HRM. His work emphasizes bridging HR practices with organizational and societal outcomes. Education: PhD (Monash), MCom (Auckland), Distinguished Fellow HRNZ Visiting Roles: Leeds, Tilburg, Toulouse, Bath Editorial Roles: Asia Pacific Journal of Human Resources, Human Resource Management Journal His research addresses strategic HRM’s role in organizational success and its impact on employee well-being. Recent studies explore HR analytics, lean production effects, and Industrie 4.0 implications. Awards highlight his scholarly contributions and industry impact. Administrative leadership includes overseeing research initiatives and PBRF evaluations at the Business School. Awards: 2023 Distinguished Fellow, 2020 Emerald Literati Award Teaching: MGMT 223, MGMT 304, GLMI 705

Lucie DE CARVALHOمشاهده پروفایل

مدرس

• British Civilization
• British Politics
• Political Discourse Studies
• +۶ مورد دیگر

Lucie DE CARVALHO is a Lecturer in British Civilization at the University of Lille, Faculty of Languages, Culture and Societies, Department of English Studies. She is affiliated with ULR 4074 - Center for Studies in Civilizations, Languages and Foreign Literature. Graduated from ENS Cachan Specializes in British Civilization Based at University of Lille (BO.529) Dr. DE CARVALHO's research focuses on contemporary British politics, political discourse studies, British energy policies (particularly nuclear and renewable energy), neoliberalism, historiography of science, and climate governance. Her work demonstrates a consistent engagement with the intersection of political power, energy policy, and media representation in the British context. She has developed a particular expertise in analyzing how the UK state manages controversial technologies like nuclear power within neoliberal frameworks. Her publication record shows a consistent output spanning from 2014 to 2024, with recent work examining twenty-first century UK broadcasting ecology, teaching British history to French students, and contemporary nuclear power policies. The analysis of her articles reveals a strong thematic continuity centered on British governance, energy policy, and the complexities of neoliberal state intervention. Her research employs interdisciplinary approaches drawing from political science, media studies, and science and technology studies. Member of the SAES (Society of Anglicists in Higher Education) Member of CRECIB (Centre for Research on British Civilization) Associate member of the Research Center in British Civilization (CREC) Institute of the Anglophone World, Sorbonne Nouvelle University – Paris 3 Member of the UK Political Studies Association Member of the European Association for the Study of Science and Technology (EASST) Member of UACES Dr. DE CARVALHO has demonstrated sustained research activity across multiple domains related to British studies, with particular emphasis on energy policy and political discourse. Her work bridges academic research with pedagogical practice, as evidenced by publications on teaching British history to French undergraduate students and language learning through television series.

Janna Parkerمشاهده پروفایل

استاد

• Retailing
• Digital Marketing
• Advertising
• +۴ مورد دیگر

Janna Parker is a professor in the Department of Marketing at James Madison University, specializing in digital marketing, retailing, and nonprofit marketing. With a career transition from political campaigns, she focuses on social media's role in personal and professional branding. Her research examines work-personal social media boundaries, employer governance policies, and volunteerism in nonprofit contexts. Education: Bachelor's in History (California State University Sacramento), Master's (Cameron University), Doctorate (Louisiana Tech) Teaching Interests: Digital marketing education, social media strategy, nonprofit marketing Her scholarly work spans social media governance, volunteer engagement, and retail dynamics, with recent emphasis on digital marketing pedagogy and cancel culture implications. Parker has contributed to academic journals through empirical studies and conceptual commentaries. Key article trends include: Digital marketing education evolution (2024) Social media governance in corporate and nonprofit contexts (2024) Online teaching satisfaction in higher education (2022) Volunteer brand community dynamics (2020) Consumer behavior frameworks (2019) Her media appearances include expert commentary on holiday retail strategies and social media research, reflecting practical applications of her academic work.

Brent Mittelstadtمشاهده پروفایل

استاد

• Data Ethics
• AI Ethics
• Technology Governance
• +۴ مورد دیگر

Professor Brent Mittelstadt is a leading academic in data ethics and AI governance at the University of Oxford's Oxford Internet Institute (OII), serving as Professor of Data Ethics and Policy and Director of Research. He coordinates the Governance of Emerging Technologies (GET) programme, focusing on ethics, law, and technology interplay. His work bridges academic research with policy impact, contributing frameworks like 'counterfactual explanations' and fairness metrics ('Conditional Demographic Disparity') used globally. He leads high-profile projects such as Trustworthiness Auditing for AI and A Right to Reasonable Inferences in Advertising and Financial Services. Research interests span AI ethics, medical ethics, technology governance, and non-discrimination law. He has pioneered ethical frameworks addressing algorithmic bias, GDPR compliance, and AI accountability. His work has influenced policy bodies like the UK Information Commissioner’s Office and the European Commission, and is implemented by tech giants such as Google and Microsoft. Awarded O2RB Excellence in Impact Awards (2018, 2021) and PLSC Best Paper (2019) Funded by Wellcome Trust, Sloan Foundation, and others Advisory roles for NHSx, GSK Consumer Healthcare, and regulatory bodies Recent work focuses on AI regulation (EU AI Act), generative AI ethics, and healthcare AI governance. He co-leads the OxonFair toolkit for algorithmic fairness and investigates societal impacts of deepfake proliferation and large language models.

Allison Koeneckeمشاهده پروفایل

استادیار

• Algorithmic Fairness
• Computational Social Science
• Public Health
• +۴ مورد دیگر

Allison Koenecke is an Assistant Professor of Information Science at Cornell Tech and a field faculty member in Computer Science at Cornell University. Previously, she was a postdoctoral researcher at Microsoft Research New England and completed her PhD at Stanford University’s Institute for Computational & Mathematical Engineering. Her research focuses on algorithmic fairness, computational social science, and causal inference in public health, addressing disparities in automated systems like speech recognition and policy decision-making. Education : PhD, Stanford Institute for Computational & Mathematical Engineering MA/MS, Stanford University BA/BS, Massachusetts Institute of Technology Research Interests : Dr. Koenecke’s work bridges economics and computer science, emphasizing equity in AI systems. Key areas include: Algorithmic bias in speech recognition (e.g., racial disparities in voice assistants) Fairness in policy tools like environmental justice data systems Causal analysis in public health interventions Ethical implications of large language models in education Media & Impact : Her research has been featured in outlets like New York Times , Science , and Scientific American . Notable studies include exposing racial gaps in speech-to-text systems and advocating for inclusive dataset development. She also explores societal impacts of AI in education and governance. Awards : Sloan Research Fellow in Computer Science Forbes 30 Under 30 in Science NSF Awards Cornell CIS Teaching Excellence Award (2024) Teaching & Outreach : She teaches courses like Designing Fair Algorithms and Data Science for Global Development , emphasizing interdisciplinary collaboration. Her PhD Professionalization course addresses hidden curricula in academia. She advises on AI ethics for nonprofits, tech companies, and government agencies.

Danielle T. Cooperمشاهده پروفایل

دانشیار

• Criminological Theory
• Substance Abuse & Delinquency Prevention
• Youths and Young Adults
• +۵ مورد دیگر

Danielle T. Cooper is an Associate Professor at the University of New Haven , affiliated with the Henry C. Lee College of Criminal Justice and Forensic Sciences and the Criminal Justice Department . She also serves as the Director of Research for the Tow Youth Justice Institute and Chair of the Criminal Justice Undergraduate Committee . Education Ph.D. in Criminology, Law, & Society, University of Florida, 2015 M.A. in Criminology, Law, & Society, University of Florida, 2011 B.S. in Justice Systems, Truman State University, 2009 Dr. Cooper’s research focuses on youths and young adults , juvenile justice policy reform , sex offender registration policies , and police-community dynamics . Her work emphasizes restorative justice , systemic equity , and prevention strategies for marginalized communities. Recent publications explore diversion programs , economic impacts of sex offender registries , and media narratives in criminal justice . Her awards highlight contributions to diversity, equity, and inclusion , as well as leadership development . Scientific Awards 2019 Faculty of the Year Award 2021 MO-KAN-NE TRIO Achiever Alumni Award 2021 Faculty Excellence in DEI 2022 Martin Luther King, Jr. Vision Faculty Award 2024 RAND Pardee Fellowship She has secured grants for diversionary services and youth-police relations , and her media commentary addresses youth violence , census participation , and social justice .

• Accounting Standards
• Corporate Governance
• Capital Markets
• +۳ مورد دیگر

You-il (Chris) Park is an Associate Professor of Accounting at the University of Hawaii at Manoa’s Shidler College of Business, serving as Co-Chair of the Hawaii Accounting Research Conference (HARC) and Hawaii Accounting Research Doctoral Institute (HARDI). He holds the Accuity LLP Accounting Faculty Fellowship and coordinates the Accounting Ph.D. program. His research focuses on archival, economics-based studies examining how accounting standards, regulations, and corporate governance influence financial reporting, capital markets, and managerial decisions. Professor Park holds a Ph.D. in Business Administration (Accounting) from Duke University’s Fuqua School of Business, an M.A. in Economics from Duke University, and a B.S. in Management with Highest Honor and an Accounting Certificate from Georgia Institute of Technology’s Scheller College of Business. Prior to academia, he worked as an internal auditor at Georgia Power & Southern Company and as a computer programmer in the Republic of Korea Air Force. His research interests span topics such as IFRS impact on macroeconomics, credit rating affirmations, audit quality, and data analytics in operational efficiency. His work appears in top journals like The Accounting Review and Contemporary Accounting Research. Professor Park has received numerous accolades for teaching excellence, including the Presidential Citation for Meritorious Teaching (2025), Shidler College Professor of the Semester awards (2022–2025), and multiple nominations for the Board of Regents Medal for Teaching. His professional service includes roles as a doctoral consortium fellow and reviewer for prestigious journals. He actively contributes to academic communities through HARC and HARDI, fostering research collaboration and mentoring doctoral students. His curriculum development includes courses such as Accounting Capstone and Ph.D. seminars, emphasizing practical and theoretical mastery.

• Ethical Implications of Artificial Intelligence
• Societal Implications of Artificial Intelligence
• Policy Implications of Artificial Intelligence
• +۴ مورد دیگر

Hoda Heidari is the K&L Gates Career Development Assistant Professor in Ethics and Computational Technologies at Carnegie Mellon University (CMU), with joint appointments in the Machine Learning Department and the Institute for Software, Systems, and Society. She is affiliated with the Human-Computer Interaction Institute and the Heinz College of Information Systems and Public Policy, and co-leads the university-wide Responsible AI Initiative and K&L Gates Initiative for Ethics and Computational Technologies. Education: PhD in Computer and Information Science (University of Pennsylvania), MSc in Statistics (Wharton School) Her research focuses on the Ethical, Societal, and Policy Implications of AI , particularly fairness and accountability in high-stakes domains. Her work includes evaluating risks/benefits of general-purpose AI, human-AI decision-making systems, and AI governance frameworks. She has received multiple awards, including best paper honors at AIES, FAccT, and SAT-ML. Her research is supported by the NSF Program on Fairness in AI, PwC, CyLab, Meta, and J. P. Morgan. Recent Publications examine generative AI safety, fairness measurement, AI incident documentation, and ethical governance. Her teaching includes courses on Responsible AI, ML Ethics, and Societal Decision-Making, with a focus on preparing students to critically analyze AI's societal impact. Scientific Awards: Best Paper (AIES 2024, FAccT 2021, SAT-ML 2023), Exemplary Track Award (EC 2021) Grants: NSF, PwC, CyLab, Meta, J. P. Morgan She advises doctoral students and postdocs across CMU departments and collaborates with interdisciplinary teams. Her service includes organizing AI safety workshops and advising on NIST guidelines for AI red-teaming.

Richard Jochelsonمشاهده پروفایل

استاد

• Criminal Law
• Constitutional Law
• Police Powers
• +۷ مورد دیگر

Richard Jochelson serves as Dean of Law at the Faculty of Law, University of Manitoba (Robson Hall), a position he has held since July 1, 2016. Previously, he taught criminal law for 10 years at the University of Winnipeg. Dr. Jochelson holds a Ph.D. in Law from Osgoode Hall Law School at York University, an LLM from the University of Toronto Faculty of Law, an LL.B. with Gold Medal from the University of Calgary Faculty of Law, and a B.Sc. in Zoology with Distinction from the same institution. He completed his legal training as a clerk at the Alberta Court of Appeal and Court of Queen's Bench before working at a major Canadian law firm. Dr. Jochelson's research program centers on critical issues in criminal justice and constitutional law, with primary interests in police powers jurisprudence, sexual regulation (particularly obscenity and indecency law), jury systems and representativeness, and legal pedagogy. His interdisciplinary approach bridges law with sociology and psychology, bringing empirical and theoretical rigor to legal scholarship. His work consistently addresses social justice concerns, examining how vulnerable populations interact with the justice system and how concepts like risk, precaution, and visibility shape legal decision-making. He has developed a distinctive methodology combining doctrinal analysis with empirical research on judicial behavior and jury decision-making. His recent publications reveal evolving scholarly priorities that respond to contemporary legal challenges. The 2025 article "Morbid Matters" addresses medical assistance in dying within federal corrections, while his 2024 works on youth terrorism cases and agnotology demonstrate expansion into new interdisciplinary territories. His longstanding commitment to police powers scholarship continues with "Ancillary Police Powers in Canada" (2024). The pandemic period saw significant contributions to understanding digital justice, mental health in legal education, and remote court proceedings. His criminal law scholarship maintains focus on jury representativeness, particularly regarding Indigenous inclusion following Bill C-75's elimination of peremptory challenges. Students' Teacher Recognition Award (CATL) - 2018 Dr. Jochelson has secured multiple SSHRC Insight Grants as both Principal and Co-investigator, demonstrating his ability to lead interdisciplinary research teams. His mentorship extends to junior academics and students, with several publications co-authored with emerging scholars. He has built significant research infrastructure, notably assembling nearly 40 interdisciplinary scholars across Canada for Robsoncrim.com, which has elevated the Criminal Law Edition of the Manitoba Law Journal to prominence as one of Canada's preeminent criminal law publications. As Dean of Law, Dr. Jochelson provides leadership in academic governance and legal education innovation. His service includes extensive committee work on academic affairs, workload policy, and hiring/tenure committees. His commitment to universal design principles informs both his teaching approach and administrative leadership, emphasizing accessibility and student-centered pedagogy that allows flexible evaluation methods tailored to individual learning preferences.

Ly Fie Sugiantoمشاهده پروفایل

دانشیار

• Accounting Information Systems
• Data Analytics
• Artificial Intelligence
• +۸ مورد دیگر

Dr. Ly Fie Sugianto is an Associate Professor in the Department of Accounting at Monash Business School, Monash University. Her research focuses on the integration of data analytics, artificial intelligence, and machine learning in accounting and business systems, with applications in the energy sector and organizational behavior. Monash Business School, Monash University Department of Accounting Specialization: Accounting Information Systems, Data Analytics, AI Her research interests span Accounting Information Systems , Agent-Based Simulation , Decision Support Systems , and Technology Adoption . She applies computational methods to study competitive dynamics in deregulated electricity markets and the impact of digital tools on employee well-being and organizational resilience. The recent publications reflect a strong trend in using AI and simulation to analyze complex socio-technical systems, particularly in energy markets and leadership dynamics. Keywords across her work include agent-based modeling , data analytics , servant leadership , and enterprise social media , indicating interdisciplinary research at the intersection of information systems, management, and public policy. Her scientific awards include competitive grants from the ARC (SPIRT/Linkage) , the Australia Indonesia Governance Research Partnership (AIGRP) , and the Sumitomo Foundation . ARC Grant: Dispatch Optimisation in the Australian National Electricity Market Sumitomo Foundation: Technology Use and Employee Well-Being AIGRP: Governance and MSME Resilience during Pandemic Dr. Sugianto has advised research projects and collaborated with industry partners such as Western Power , Ecogen Energy , and AEMO . She is currently accepting PhD students and leads externally funded research initiatives. Her work contributes to UN Sustainable Development Goals related to industry innovation and responsible consumption. She is affiliated with research teams focusing on intelligent decision support systems and digital transformation in business , with active collaborations in Australia and Indonesia.

Emily Wallمشاهده پروفایل

استادیار

• Data Visualization
• Visual Analytics
• Cognitive Psychology
• +۳ مورد دیگر

Dr. Emily Wall is an Assistant Professor in the Department of Computer Science at Emory University, leading the CAV Lab (Cognition and Visualization). She earned her Ph.D. in Computer Science from Georgia Tech (2020) and completed a postdoctoral fellowship at Northwestern University before joining Emory. Ph.D., Computer Science, Georgia Tech (2020) Postdoctoral Researcher, Northwestern University Current: Assistant Professor, Emory University Her research focuses on enhancing human decision-making through data visualization and visual analytics by addressing cognitive limitations and biases. Key areas include metacognition promotion, computational strategies for bias mitigation, and human-AI collaboration in data analysis. She combines cognitive psychology principles with technical implementation using tools like D3.js and Tableau. Recent publications highlight her work on LLM applications in visual analytics, cognitive bias interventions, and trust calibration in AI systems. Current students like Mengyu Chen, Shiyao Li, and Zhongzheng Xu are presenting at top conferences such as CHI and IEEE VIS. She also explores educational applications through interactive visualization pedagogy and innovative assessment methods. Dr. Wall actively engages in academic service through graduate mentorship, conference judging, and diversity initiatives. Her lab emphasizes both technical proficiency and social justice implications in visualization design, reflected in course projects that merge artistic expression with data-driven storytelling.

Charles Rahalمشاهده پروفایل

دانشیار

• Social Science Methodology
• Applied Social Data Science
• High-dimensional Econometrics
• +۸ مورد دیگر

Charles Rahal is an Associate Professor in Data Science and Informatics at the University of Oxford, with additional affiliations as an Associate Member of Nuffield College and Researcher at the Gradel Institute, New College. He serves as a Co-Investigator at the ESRC Centre for Care and sits on the Steering Group of Reproducible Research Oxford. His academic career includes previous roles as a Senior Departmental Research Lecturer at the Leverhulme Centre for Demographic Science and a British Academy Postdoctoral Fellow. Dr. Rahal completed his PhD in 2016 and has established himself as a prominent social science methodologist and applied social data scientist with expertise in high-dimensional econometrics. His research spans multiple domains, focusing particularly on unique Big Data origination processes and their relationship to social inequality, mobility, and stratification. He is deeply engaged in machine learning methods, civic technology, spatial and time series econometrics, model uncertainty, and scientometrics. His recent publications reveal a strong trend toward computational social science, with significant contributions to understanding prediction limits, pandemic impacts, healthcare systems, and environmental sustainability. The articles demonstrate his interdisciplinary approach, bridging traditional social science with cutting-edge computational methods, particularly in the analysis of large-scale datasets and development of novel metrics like the InterModel Vigorish for model comparison. Dr. Rahal is actively involved in teaching and mentoring, co-convening courses in Demographic Analysis, Life Course Research, and the Oxford Partner site of the Summer Institute in Computational Social Sciences. He has developed workshops on machine learning, command line interfaces, and LaTeX, reflecting his commitment to methodological training in social science. He leads the Metrics and Models lab and maintains several open-source projects including the GWAS Diversity Monitor and RobustiPy. His editorial roles include Associate Editor-in-Chief at the Journal of Social Computing and Associate Editor at ACM Transactions on Social Computing, highlighting his influence in shaping computational social science methodology.