جستجوی استاد راهنمای دانشگاهی

Robert JOLIETمشاهده پروفایل

دانشیار

• Finance
• Portfolio Management
• SRI (Socially Responsible Investing)
• +۳ مورد دیگر

Robert JOLIET is an Associate Professor of Finance at IÉSEG School of Management in France. He holds a Ph.D. in Economics and Management from HEC-ULg Management School (Belgium) and has held various academic leadership roles, including Director of Academic Development and Academic Director of the PGE (MSc in Management). His research focuses on finance, portfolio management, SRI (Socially Responsible Investing), and corporate finance, with a particular emphasis on international expansion, capital structure, and sustainable investment strategies. Education: 2008: Ph.D. in Economics and Management, HEC-ULg Management School, Belgium 2004: Master of Advanced Studies (DEA), Management Sciences (Finance), University of Liège, Belgium 2002: Master of Science in Business Engineering (Finance), University of Liège, Belgium Research interests span SRI fund dynamics, corporate social responsibility valuation, international debt policies, and market liquidity. Notable contributions include analyzing the impact of SRI mutual funds on corporate governance and environmental practices, and exploring the stability of sovereign debt structures in the Eurozone. Awards include the 2005 FORTIS Award (Third Prize) and the 2003 E.G. de Barsy Doctoral Fellowship. He has published extensively in journals like Economics Letters and Journal of Banking & Finance . Academic leadership roles include directing programs and departments at IÉSEG, alongside coordinating the Finance Track and managing academic development initiatives. His teaching focuses on financial data analysis, active portfolio management, and investment strategies in capital markets. He is a member of the LEM (Laboratoire d'Économie Moderne) research group and contributes to interdisciplinary research in finance and economics.

Walid Magdyمشاهده پروفایل

استاد

• Computational Social Science
• Natural Language Processing
• Social Content Analysis
• +۸ مورد دیگر

Walid Magdy is a Professor at the School of Informatics, The University of Edinburgh, where he is a faculty member at the Institute for Language, Cognition and Computation (ILCC). He holds a PhD from Dublin City University's School of Computing and has been a faculty fellow at The Alan Turing Institute. With substantial industry experience, he has worked for Qatar Computing Research Institute (QCRI), Microsoft, and IBM, where he filed nine patents. His research spans computational social science and natural language processing. In computational social science, he focuses on social content analysis, political bias detection, polarization, and users' behavior analysis/prediction, with particular attention to understudied communities. His natural language processing work centers on social applications including sentiment analysis, sarcasm detection, and hate-speech identification, with specialized expertise in Arabic and its dialects as well as Persian. Professor Magdy's recent publications demonstrate a consistent focus on Arabic language processing and social media analysis, with growing attention to cultural factors in NLP systems. His work bridges computational methods with social science questions, particularly regarding misinformation, cultural differences in online behavior, and the impact of platform policies on diverse linguistic communities. He has expanded his research to include Persian language processing and continues to explore social dynamics across different cultural contexts. His significant contributions have been recognized with multiple awards: Best Demo Award for TwiXplorer at CSCW 2024 Outstanding Paper Award at ACL 2024 Best Paper Award Runner-up at SocInfo 2022 Best Paper Award at WANLP-EMNLP 2022 Best Paper Award at AIRS 2015 Best Dataset Award at ICWSM 2013 Professor Magdy serves as an editor for Springer's Social Network Analysis and Mining journal and has held leadership roles in major conferences including ACL 2023, ArabicNLP 2023, ICWSM 2022, and ASONAM 2022. He has co-organized numerous shared tasks focused on Arabic language processing and social media analysis, contributing significantly to community resources and benchmarks. He founded and directs the Social Media Analysis and Support for Humanity (SMASH) research group at the University of Edinburgh, which has organized the Summer School in Computational Social Science (SICSS-Edinburgh) in 2022, 2023, and 2025, training researchers in computational social science methodologies.

Alan Ritterمشاهده پروفایل

دانشیار

• Natural Language Processing
• Machine Learning
• Artificial Intelligence
• +۴ مورد دیگر

Alan Ritter is an Associate Professor at the School of Interactive Computing , Georgia Institute of Technology, with additional affiliation to the Machine Learning Center . His research focuses on Natural Language Processing , particularly robust models across domains/languages with fewer labels and efficient resource use, plus data-driven dialogue agents for open-topic conversations. Research Interests : Robust NLP models, cross-lingual transfer, resource-efficient learning, dialogue systems, cultural bias measurement, and privacy-aware language models Students : Mentors Ph.D. students in Georgia Tech's ML and CS programs, including Junmo Kang, Yang Chen, and Duong Minh Le. Alumni include Fan Bai (Ph.D. 2023), Yang Chen (Ph.D. 2024), and Andrew Li (M.S. 2024). Awards : NSF CAREER Award, Amazon Research Award, ACL 2024 Best Social Impact Paper, IUI 2009 Best Student Paper. Recent Work : Studies training budget allocation between supervised and preference-based finetuning, cross-lingual information extraction, cultural bias in LLMs, and privacy risk mitigation in social media disclosures. Service : Served as Program Chair for NAACL 2025, Area Chair for multiple top-tier conferences (COLM, EMNLP, ACL, EACL, AAAI). Email : alan.ritter@cc.gatech.edu

Sean Caoمشاهده پروفایل

دانشیار

• Artificial Intelligence in Finance
• Machine Learning Applications
• Capital Market Research
• +۵ مورد دیگر

Sean Cao serves as Associate Professor (with tenure) at the Robert H. Smith School of Business, University of Maryland, where he is Director and Co-founder of the AI Initiative for Capital Market Research. He also holds an affiliation as professor at Harvard Business School's D 3 Institute. His academic journey began with a Ph.D. from the University of Illinois at Urbana-Champaign. Dr. Cao's research focuses on the intersection of artificial intelligence and capital markets, with particular expertise in how machine learning transforms financial analysis, corporate disclosure practices, and investment decision-making. His work examines the evolving relationship between human analysts and AI systems, blockchain applications in financial reporting, and the strategic adaptation of corporate communications for machine readership. He has pioneered research on the "AI divide" among investor groups and developed frameworks for human-AI collaborative stock analysis. His publication portfolio spans top journals including Journal of Financial Economics, Review of Financial Studies, Journal of Accounting Research, and Management Science. The research demonstrates consistent thematic progression toward increasingly sophisticated AI applications in finance, with recent work exploring distributed ledger technologies for auditing, machine learning for extracting private information from disclosures, and the economics of greenwashing in ESG funds. His studies frequently combine textual analysis with traditional financial metrics to uncover novel market insights. Fama-DFA Prize from Journal of Financial Economics for best paper in capital markets and asset pricing Michael J. Brennan Award from Review of Financial Studies Deloitte Initiative for AI and Learning award for developing trustworthy AI for social equity PanAgora Asset Management's Dr. Richard A. Crowell Memorial Prize Multiple best paper awards from Midwest Finance Association, Global AI Finance Conference, and Asian Finance Association Dr. Cao has delivered over 200 invited research talks at major institutions including the Central Bank of Japan, Central Bank of Thailand, and U.S. Securities and Exchange Commission. He serves as Guest Associate Editor for Management Science and has co-chaired Review of Financial Studies conferences on FinTech and Machine Learning. His educational initiatives include a widely adopted free AI textbook for finance and accounting that has been implemented at universities worldwide including Indiana University, UT Dallas, and University of Minnesota. As Director of the AI Initiative for Capital Market Research, Dr. Cao leads a multidisciplinary team exploring practical AI applications in finance. The initiative has secured significant funding including a $150,000 grant from GRF CPAs & Advisors. His research group maintains strong industry connections through partnerships with regulatory bodies, financial institutions, and technology companies, facilitating the translation of academic research into practical financial applications.

Abhijit Banerjeeمشاهده پروفایل

استاد

• Development Economics
• Macroeconomics
• Political Economy
• +۳ مورد دیگر

Abhijit Banerjee is the Ford Foundation International Professor of Economics at MIT and Director of the Abdul Latif Jameel Poverty Action Lab (J-PAL). A 2019 Nobel laureate in Economic Sciences, his research focuses on development economics, political economy, and poverty alleviation. He co-authored influential books like Poor Economics and Good Economics for Hard Times , emphasizing evidence-based policies and randomized controlled trials. Banerjee’s work addresses global challenges such as education, health, and social welfare, with notable contributions to microfinance, public health interventions, and anti-poverty programs. He holds leadership roles in global initiatives like the Global Education Evidence Advisory Panel and has advised governments worldwide. His research spans topics from police resource allocation in India to the impact of information during crises like demonetization and the pandemic. Education: Bachelor’s in Statistics, Presidency College, Kolkata M.A. in Economics, Jawaharlal Nehru University PhD in Economics, Harvard University Key Contributions: Co-founder of J-PAL, promoting evidence-based poverty reduction strategies. Pioneer in using randomized controlled trials (RCTs) for policy evaluation. Research on microfinance, education reforms, and health interventions in developing countries. Awards: Nobel Prize in Economics (2019), Infosys Prize in Social Sciences (2009), Member of the National Academy of Sciences (2020). Grants/Advisory Roles: Collaborations with institutions like the World Bank, UN, and governments on poverty, health, and education policies. Labs/Teams: J-PAL global network, Abdul Latif Jameel Poverty Action Lab.

Rizwan Ahmedمشاهده پروفایل

مدرس ارشد

• Sustainable Finance
• Green Finance
• FinTech
• +۵ مورد دیگر

Rizwan Ahmed is a Senior Lecturer in Accounting and Finance at the University of Kent 's Kent Business School . He serves as Director of Studies for the Department for Accounting and Finance, with prior experience as an Assistant Professor at institutions like the University of Birmingham, Cardiff Business School, and Birkbeck University of London. His research focuses on Sustainable Finance , FinTech , and Corporate Governance , with funding from the Economic and Social Research Council (ESRC) for collaborative projects. Fellowship of Higher Education Academy (HEA-UK) Associate Fellow Member, Chartered Institute of Securities and Investment (CISI-UK) His publications in journals like Energy Economics and International Journal of Finance and Economics examine intersections between climate risk, financial markets, and regulatory frameworks. He supervises PhD research in areas including Sustainable Finance, Climate Finance, and Corporate Governance in the financial sector. Research Trends Recent articles analyze climate change impacts , energy market spillovers , and ESG performance under sanctions, utilizing empirical methods and data from the UK, China, and emerging economies. Methodological innovations include cross-quantilogram analysis and portfolio optimization frameworks. Scientific Awards Fellowship of Higher Education Academy (HEA-UK) Associate Fellow Member, Chartered Institute of Securities and Investment (CISI-UK) Rizwan also acts as a peer reviewer for journals including International Review of Financial Analysis and Technological Forecasting & Social Change .

Peter Hendersonمشاهده پروفایل

استادیار

• AI safety
• Foundation models
• Law and AI
• +۷ مورد دیگر

Peter Henderson is an Assistant Professor at Princeton University with joint appointments in the Department of Computer Science and the School of Public and International Affairs. He is affiliated with the Center for Information Technology Policy (CITP), Princeton Language and Intelligence Initiative (PLI), Center for Statistics and Machine Learning (CSML), and Program in Law & Public Policy (PLAW). J.D./Ph.D., Stanford University, 2023 M.Sc., McGill University and Montréal Institute for Learning Algorithms Henderson's research focuses on the critical intersection of artificial intelligence and law, with particular emphasis on AI safety, methods to improve reasoning in foundation models, interdisciplinary approaches to law and AI, and AI governance. His work spans language-grounded reinforcement learning, alignment techniques, strategic decision-making in legal contexts, and public interest artificial intelligence. He investigates how legal frameworks can guide the development of AI systems that benefit society while addressing potential harms. Henderson's recent publications reveal a strong trajectory toward addressing the safety, governance, and legal implications of foundation models. His work combines rigorous technical AI research with deep legal analysis, particularly examining how intellectual property law interacts with AI development, regulatory pathways that balance innovation with harm prevention, and the role of law in shaping responsible AI deployment. A significant thread throughout his research is the development of better evaluation methodologies for AI systems, especially in critical domains like law. SEAS Excellence in Teaching Award (2025) Henderson leads the Princeton Law+Language, AI, & Society (POLARIS) Lab, where he advises students and researchers working at the intersection of AI and legal studies. His research has been supported through collaborations with government agencies, including work with the IRS on audit selection algorithms. His findings have informed practical applications in government efficiency and equity, as well as legal system improvements. Henderson runs the POLARIS Lab at Princeton, which focuses on developing AI systems that work for the public interest, particularly in legal contexts. His team develops sequential decision-making systems for government efficiency, foundation models capable of reasoning about law, and improved safety evaluation frameworks for AI systems. The lab maintains strong connections with legal practitioners and policymakers to ensure research has real-world impact.

• Financial Contracting
• Corporate Disclosure
• Corporate Investment Behavior
• +۵ مورد دیگر

Clemens Otto is a Full-time Associate Professor of Finance at the Lee Kong Chian School of Business, Singapore Management University. He holds a Ph.D. (Finance) from London Business School (2012), an M.Res. (Finance) from London Business School (2009), and a CEMS Master (International Management) and Dipl.-Kfm. (Business Administration) from the University of Cologne and HEC Paris (2006). His research focuses on Financial Contracting, Corporate Disclosure Practices, Behavioral Finance, and Strategic Investment Decisions. Key research interests include analyzing how disclosure policies impact capital markets, the behavioral drivers of corporate investment, and the effects of regulatory frameworks on firm behavior. His work integrates theoretical finance with empirical evidence from supply chains, healthcare disclosures, and debt markets. Notable awards include the Michael J. Brennan Award (2022) and the SAC Capital Ph.D. Award (2012). His publications span journals such as the Review of Financial Studies , Management Science , and The Accounting Review . Current research explores disclosure externalities in supply chains and the strategic implications of peer disclosures in clinical trials. Prof. Otto has been affiliated with SMU since 2017, advancing through roles from Assistant Professor (2017–2021) to his current position. His expertise aligns with SMU’s strategic priorities in Asia-focused finance and sustainable living through informed corporate governance frameworks.

• Financial Reporting
• Corporate Disclosure
• Textual Analysis in Accounting
• +۲ مورد دیگر

Yaping Zheng serves as an Assistant Professor in the Department of Accounting and Business Analytics within the Alberta School of Business at the University of Alberta. Her current teaching responsibilities include ACCTG 222: Introduction to Accounting for Management Decision Making, a course focused on cost behavior analysis, budgeting, and performance measures for management decisions, scheduled for Winter Term 2026 with office location at 3-21C Business Building. Her research spans critical areas in contemporary accounting: Financial Reporting and Corporate Disclosure mechanisms Textual Analysis applications in accounting contexts Big Data integration for financial analysts Management decision-making through accounting information systems Dr. Zheng's recent publication in Management Science (2025) examines empirical evidence of big data adoption by financial analysts, revealing its impact on disclosure practices and reporting usefulness. This work bridges advanced analytics with traditional accounting frameworks to address evolving market demands. No scientific awards were documented in the source materials, though publication in this premier journal signifies substantial scholarly contribution. Information regarding student supervision, research grants, or laboratory affiliations was not provided in the available texts.

Mina Leeمشاهده پروفایل

استادیار

• Writing with AI
• Human-AI Interaction
• Natural Language Processing
• +۳ مورد دیگر

Mina Lee is an Assistant Professor in Computer Science at the University of Chicago, affiliated with the Data Science Institute and Cognitive Science. Her research focuses on 'Writing with AI,' exploring how AI transforms writing processes, content, and identities. She designs AI writing assistants and evaluates human-AI collaboration through user studies and experiments, addressing ethical implications like authorship norms and educational impacts. Education: Ph.D. in Computer Science from Stanford University (2023), advised by Percy Liang. B.S. in Computer Science from Korea University (2016). Postdoctoral research at Microsoft Research's Computational Social Science group (2023–2024). Research interests span Human-Computer Interaction (HCI), NLP, and computational social science. She co-founded workshops on Intelligent Writing Assistants and Human-centered Evaluation of Language Models. Notable awards include MIT Technology Review's Innovators Under 35 Korea (2022) and a Best Paper Award at GPCE 2016. Her work has been published in top venues like CHI, ACL, NeurIPS, and Nature Human Behavior. She advises PhD students on AI-assisted writing, cognitive augmentation, and safe generative models. Current lab projects include designing explainable AI tools and studying AI disclosure norms in writing.

• Corporate Finance
• Venture Capital
• Private Equity
• +۶ مورد دیگر

Associate Professor Mark Humphery-Jenner is a distinguished faculty member at the University of New South Wales (UNSW) Business School, specifically within the School of Banking and Finance. With an exceptional academic pedigree including multiple PhDs from prestigious institutions worldwide, he has established himself as a leading researcher at the intersection of finance, law, and corporate governance. Dr. Humphery-Jenner's educational background demonstrates remarkable breadth and depth, featuring PhDs from UNSW, Tilburg University, and Leiden University, along with master's degrees from Columbia University and the University of Washington. His undergraduate achievements include a BCom with First Class Honours and University Medal, and an LLB with First Class Honours, both from UNSW. This multidisciplinary foundation spanning business, law, and finance informs his comprehensive research approach. His research spans corporate finance, venture capital, and law, with particular focus on how legal frameworks shape financial decision-making and corporate behavior. Humphery-Jenner has published extensively in top-tier finance journals including the Journal of Financial Economics, Journal of Financial and Quantitative Analysis, Review of Finance, and Journal of Corporate Finance, as well as leading management journals such as Strategic Management Journal and Journal of International Business Studies. His scholarly contributions address critical issues in executive compensation, securities litigation, corporate governance, and private equity markets. Analysis of his recent publications reveals a sophisticated research trajectory increasingly focused on the relationship between litigation risk and financial reporting practices, corporate governance mechanisms, and investor protection frameworks. His work demonstrates particular attention to Australian regulatory contexts while maintaining a strong international comparative perspective, especially regarding Asian capital markets and cross-border investment. With substantial industry experience including work in investment banking and consulting for hedge funds, Humphery-Jenner brings practical insights to his academic work. He has been teaching in various capacities since 2006 and has served as an assistant professor in finance since 2012, contributing significantly to business education at UNSW. His professional background enhances his ability to bridge theoretical research with real-world financial practice.

Christopher J. Palmerمشاهده پروفایل

دانشیار

• Financial Decision-Making
• Credit Markets
• Real Estate Finance
• +۴ مورد دیگر

Christopher J. Palmer is an Associate Professor of Finance at the MIT Sloan School of Management, specializing in financial decision-making, credit markets, and policy interventions. His research focuses on how individuals and institutions respond to economic upheavals in areas like bankruptcy, retirement savings, and real estate. He holds a PhD in Economics from MIT and a BA in Economics and Mathematics from Brigham Young University. Palmer’s work has been published in top journals such as the American Economic Review , Journal of Finance , and Review of Financial Studies . He explores topics including racial disparities in bankruptcy outcomes, consumer payment behavior, and the effects of quantitative easing. His research is supported by affiliations with the National Bureau of Economic Research (NBER) and the Jameel Poverty Action Lab (J-PAL). Key honors include the 2022 Jamieson Prize and the 2019 Society for Financial Studies Best Paper Award. Palmer has contributed to public debates on policy issues like rent control and retirement savings through media outlets such as The New York Times , Bloomberg , and Vox .

Zhi Daمشاهده پروفایل

استاد

• Asset Pricing
• Behavioral Finance
• Market Microstructure
• +۷ مورد دیگر

Zhi Da is the Howard J. and Geraldine F. Korth Chair in Finance and Professor of Finance at the University of Notre Dame , Mendoza College of Business, Department of Finance. He completed his Ph.D. in Finance at Northwestern University’s Kellogg School of Management (2006), preceded by an M.Sc. in Financial Engineering from the National University of Singapore (2001) and a B.B.A. with First-Class Honors (1999) from the same institution. Holding editorial roles at Journal of Finance , Management Science , Review of Financial Studies and several other top journals, he is a leading voice in empirical finance research. Education Ph.D. in Finance, 2006 – Kellogg School of Management, Northwestern University M.Sc. in Financial Engineering, 2001 – National University of Singapore B.B.A. (1st Class Honors), 1999 – National University of Singapore Research Interests Zhi Da’s scholarship sits at the intersection of asset pricing , behavioral finance , and market microstructure . He investigates how investor attention, institutional trading, liquidity frictions, and information flows jointly determine the cross-section of expected returns. His work delves into retail margin trading, the role of pension-fund flows in exchange-rate dynamics, the informational content of SEC filings, and the efficiency of short-selling mechanisms. By combining large-scale data analytics, textual analysis, and structural modeling, he uncovers novel predictors of returns ranging from presidential approval ratings to real-time attention measures. Recent projects explore fractional trading ’s impact on price efficiency, hedging demand as a driver of intraday momentum, and the hidden effort problem in delegated portfolio management. These themes collectively advance our understanding of limits to arbitrage and the formation of extrapolative beliefs. Publication Landscape Spanning 2025 back to 2009, his 15 most recent articles in Journal of Finance , Review of Financial Studies , Management Science , Journal of Financial Economics , and Journal of Financial and Quantitative Analysis converge on three broad motifs: (1) micro-level trading frictions—liquidity costs, margin requirements, and short-selling constraints; (2) macro-finance linkages—exchange rates, fiscal policy, and global capital flows; and (3) information economics—attention allocation, media analytics, and regulatory disclosures. The collective evidence demonstrates that seemingly small trading or informational frictions aggregate into large, persistent cross-sectional return predictability. Honors and Awards 2017 William F. Sharpe Award for Best Paper, Journal of Financial and Quantitative Analysis Lead-article distinctions in Journal of Finance , Review of Financial Studies , and Management Science Featured coverage in SmartMoney and CNBC Teaching & Mentorship At Notre Dame’s Mendoza College, Professor Da teaches Investments (undergraduate and MBA) and Fixed Income Securities , integrating cutting-edge research insights into the curriculum. While specific advisees are not listed, his extensive co-author network (22+ recurring collaborators) attests to a vibrant mentoring environment. Laboratory & Data Resources He publicly distributes the NAT (Net Arbitrage Trading) dataset, a stock-quarter panel of arbitrage positions used in Chen, Da & Huang (2019). This resource has become a standard tool for researchers studying arbitrage capital movements.

• 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.

Pamela Hindsمشاهده پروفایل

استاد

• Organizational Behavior
• Human-Computer Interaction
• Cross-Cultural Collaboration
• +۳ مورد دیگر

Pamela J. Hinds is the Rodney H. Adams Professor and Fortinet Founders Chair in Stanford University's School of Engineering, holding a joint appointment in the Department of Management Science and Engineering. She co-directs the Center on Work, Technology, and Organization and serves on the Director's Council for the Hasso Plattner Institute of Design. Her research focuses on technology's impact on teams, collaboration, and innovation in global and cross-cultural contexts. She earned her Ph.D. in Organizational Science and Management from Carnegie Mellon University (1997). Research Interests: Dr. Hinds explores cross-boundary work teams, particularly those spanning national borders, examining cultural dynamics, language barriers, and site visits' role in knowledge sharing. She investigates human-robot interaction in workplaces and emerging technologies' effects on work practices, including AI, 3D printing, and open innovation systems. Her work bridges organizational behavior, human-computer interaction, and global work dynamics. Awards & Recognition: Lasting Impact Award (2018) Senior Editor of Organization Science Co-editor of Distributed Work (MIT Press) Advising & Leadership: As department chair, Hinds shapes educational and research agendas. Her grants include NSF-funded studies on digital technologies in agriculture and crowd-based innovation. She advises initiatives at the intersection of technology, work design, and global collaboration. Labs & Teams: Co-leads the Center on Work, Technology, and Organization, fostering interdisciplinary research on modern work environments. Engages in Stanford's Design School (d.school) to integrate human-centered design principles into workplace innovation.