جستجوی استاد راهنمای دانشگاهی

Rachel O’Dwyerمشاهده پروفایل

مدرس

• Digital Cultures
• Cultural Economies
• Money & Algorithms
• +۳ مورد دیگر

Rachel O’Dwyer is a Lecturer in Digital Cultures at the School of Visual Culture, National College of Art and Design (NCAD), Dublin. She holds a PhD from Trinity College Dublin (2014), an M.Phil. in Music and Media Technologies (2009), a B.A. Honours in Fine Art (Digital Media) from IADT Dun Laoghaire (2006), and a City & Guilds Diploma in Sound Engineering (2007). Her research explores the intersection of digital cultures and cultural economies, focusing on how digital networks transform ownership, value, and production of art, knowledge, and information. She critiques neoliberal logics in blockchain and algorithmic systems, advocating for a return to commons-based models. Education: PhD, Trinity College Dublin (2014): Spectre of the Commons: A Political Economy of Radio Spectrum M.Phil., Trinity College Dublin (2009): Music and Media Technologies B.A. Honours, IADT Dun Laoghaire (2006): Fine Art (Digital Media) City & Guilds Diploma, Sound Engineering (2007) Research Interests: Rachel’s work interrogates money, algorithms, AI, and their implications for cultural production and resistance. She investigates the role of blockchain in crypto-art, freeports, and art markets, while also examining how IoT and 5G reshape payments and surveillance. Her critical lens extends to the political economy of communications, digital value systems, and tactical media strategies like Openhere and D.A.T.A. Scientific Awards: 2018: Fulbright Scholar Award (Blockchain & Art) 2018: RIA Charlemont Scholar Award 2014: SFI Public Engagement Grant 2010-2014: Science Gallery Seed Funding Advising & Grants: Rachel has coordinated modules in the history of creative industries and designed MOOCs on technology and society. She organized the Openhere festival (2012, 2014), Data Politics conferences (2016), and Quantified Self events (2011). Her current book project with MIT Press examines radio spectrum ownership. Labs & Teams: She is a core member of the P2P Foundation’s academic research network and coordinates the Orthogonal Methods Group (OMG) at Trinity College Dublin. She advises the DECODE EU project on data sovereignty and contributes to ADAPT’s Ethics and Privacy Working Group.

Martin Mullinsمشاهده پروفایل

استاد

• Risk
• Insurance
• Ethics
• +۴ مورد دیگر

Martin Mullins is Professor in Risk and Insurance at the Kemmy Business School, University of Limerick, where he co-leads the Emerging Risk Group. He holds dual affiliations as Visiting Professor at Vicomtech Foundation (Basque Country, Spain) and member of both the Centre for Emerging Risk Studies and Lero – the Irish Research Centre for Software. His cross-institutional roles include serving as data ethicist for the Central Bank of Ireland and teaching risk/ethics modules for Ireland's national MSc in Artificial Intelligence. His research centers on the convergence of emerging technologies and risk governance, with specific expertise in AI ethics for insurance applications, cyber risk transfer mechanisms, and ethical implications of autonomous systems. Recent work examines trust deficiencies in generative AI for high-stakes insurance decisions, efficacy of cyber insurance markets, and gamified training for financial crime detection – consistently bridging theoretical frameworks with regulatory practice. Analysis of his 2024 publications reveals three dominant trends: (1) Critical examination of AI's role in insurance underwriting, particularly trust barriers in ChatGPT applications; (2) Structural analysis of cyber insurance markets with focus on German regulatory models and reinsurance solutions; (3) Innovation in financial crime detection through behavioral training methodologies. These outputs demonstrate his interdisciplinary approach spanning technology ethics, risk modeling, and regulatory policy. Professor Mullins has secured significant research funding through four EU Commission projects including VIDAS and Cloud-LSVA (funded under MG3.6 and ICT 16 calls), investigating risk metrics and privacy frameworks for assisted driving systems. His work actively contributes to United Nations Sustainable Development Goals related to responsible technology development and ethical innovation. He co-leads the Emerging Risk Group at University of Limerick, collaborating with Lero on software risk initiatives and with Vicomtech Foundation on Basque-region technology ethics projects. Current engagements include advising the European Insurance and Occupational Pensions Authority (EIOPA) as member of their Digital Ethics in Insurance Expert Group.

• Financial Risk Management
• AI in Finance
• Corporate Finance
• +۳ مورد دیگر

Cal Muckley is a Full Professor at the Quinn School of Business, University College Dublin (UCD), and a Fellow at the UCD Geary Institute. His expertise spans applied AI in financial misconduct, customer vulnerability, and fraud mitigation, alongside corporate finance and capital markets research. He holds a Ph.D. from Trinity College Dublin and has been a Visiting Scholar at institutions including NYU Stern and Yale University. Muckley’s research has been published in top journals like the Journal of Corporate Finance and Journal of Econometrics. He has received notable awards such as the Fulbright Scholarship and the Barrington Medal. His teaching spans corporate finance, financial econometrics, and machine learning, with a UCD Teaching Excellence Award (2024). Administrative roles include Academic Director of the B.Sc. in Economics & Finance and MBA programs. He leads research teams funded by SFI, Enterprise Ireland, and EU agencies. Education: BA, Dublin City University MSc, Dublin City University PhD, Trinity College Dublin Research Interests: Muckley’s work focuses on AI-driven solutions for financial ethics, regulatory risk, and fraud detection. He explores the intersection of corporate behavior and capital markets, with recent studies on algorithmic bias in lending and cultural influences on financial misconduct. His methodologies include machine learning, econometric modeling, and empirical finance analysis. Grants & Awards: Fulbright Scholar Thomas Moran Fellowship (2014–2016) UCD Early Career Research Award UCD Research Impact Award Barrington Medal (2010) Labs/Teams: Leads interdisciplinary teams under grants from Science Foundation Ireland, European agencies, and industry partners, focusing on risk assessment, financial innovation, and compliance.