Dr. Susan Leavy is an Assistant Professor with the School of Information and Communication Studies at University College Dublin and a funded investigator with Insight Centre for Data Analytics. Her research areas concern artificial intelligence, ethics, natural language processing and cultural analytics. Recent work focused on mitigating bias and discrimination in natural language processing and developing ethical frameworks for AI, founded in human rights and theories of social justice. Susan earned a PhD in Computer Science at Trinity College Dublin, uncovering gender bias in news coverage with machine learning. She also holds an MPhil in Gender and Women’s Studies (TCD), an MSc in Artificial Intelligence (Edinburgh University) and a BA in English and Philosophy (UCD). She also worked internationally managing the design and development of large-scale trading platforms in the finance sector. Susan is passionate about increasing diversity in those who design and develop AI systems.
Brendan is an Assistant Professor in the School of Information and Communication Studies in University College Dublin (UCD). He completed his PhD in the ADAPT Centre in the School of Computer Science and Statistics in Trinity College Dublin under Professor Vincent Wade and the late Professor Séamus Lawless. His PhD investigated the impact of visual presentation of news on the perception of bias. After completing his PhD, he held three concurrent positions as a Postdoctoral researcher on the
H2020 Provenance project developing tools to detect disinformation, an IRC Postdoctoral Research Fellow on a two-year project focused on credibility and disinformation, and as a Research Fellow on the Proactive Experiences and Agency challenge in the Digitally Enhanced Engagement Strand (PEA@DEE), in the ADAPT Centre.
Currently, he is the PI of a Horizon Europe Innovation Action project called VIGILANT. It is a 3-year, €4m project with 18 partners that will equip European Police Authorities with advanced technologies from academia to detect and analyse disinformation campaigns that lead to criminal activities.
Brendan has always had a strong interest in the factors that impact human judgement of information. Traditionally his work has focused on Bias and Credibility, but more recently it has focused on Misinformation and Disinformation. He has also done some work in Dialogue Agents and have a particular interest in them as a means of delivering news. From a disciplinary perspective, his work is at the intersection of HCI, Behavioural Science, Information Science and News and Journalism studies. Essentially, he is interested in the factors that impact human judgement of information. Due to world events and the proliferation and threat of disinformation, much of his work is now undertaken within the security domain.
Maria O’Brien’s research focuses on multiple aspects of cultural and creative industry policies. Her doctoral research on the political economy of tax incentives for the audiovisual industries was completed in Dublin City University, School of Communications, in 2020. Maria’s research has been focused on the field of political economy of the audiovisual industries in Ireland and the EU.
Dr Arjumand Younus is an Assistant Professor (Computational Social Science) at UCD School of Sociology. Formerly, she was a Research Scientist in Afiniti AI, and a part-time lecturer in Technological University Dublin. Before this appointment, Arjumand has contributed to SFI funded projects during her different post-doctoral positions at CONSUS-UCD and INSIGHT-UCD. She is
also serving in the capacity of co-director for Women in Research Ireland which is a volunteer-run registered charity working for better representation of women and under-represented groups in academia.
Arjumand received a joint PhD in Computer Science from National University of Ireland Galway (Ireland) and University of Milano-Bicocca (Italy), MS degree in Computer Science from Korea Advanced Institute of Science and Technology (South Korea), and BS in Computer Science from the University of Karachi (Pakistan). She is the recipient of Google Women Techmakers scholarship for Europe, Middle East and Africa region. Her research focuses on Machine Learning, Natural Language Processing, and Data Science for Social Good. Arjumand is passionate about the value of artificial intelligence technology to make society better, and at the moment is involved as an academic partner in various AI for Social Good projects.
Steinhoff, J. Towards a Political Economy of Synthetic Data: A Data-intensive Capitalism that is not a Surveillance Capitalism? (2022). New Media & Society.
Steinhoff, J. Automation and Autonomy: Labour, Capital and Machines in the Artificial Intelligence Industry. (2021). New York: Palgrave Macmillan
Dyer-Witheford, N., Kjøsen, AM. and Steinhoff, J. Inhuman Power: Artificial Intelligence and the Future of Capitalism. (2019). London: Pluto Press
Steinhoff, J. The Proletarianization of Data Science. (2022). In Digital Work in the Planetary Market. Edited by Mark Graham and Fabian Ferrari. Ottawa/Cambridge: International Development Research Centre (IRDC) and MIT Press
Páraic Kerrigan is an Assistant Professor, author and researcher with the School of Information and Communication Studies at University College Dublin. His research pertains to the dynamics of diversity in the media industry and its production cultures, specifically centred around Ireland’s LGBT community along with a focus on digital media cultures and platform governance. He has just released his first book, LGBTQ Visibility, Media and Sexuality in Ireland (Routledge 2021) and his co-authored second book Media Graduates at Work (Palgrave 2021). His current work focuses on the ways in which critical data studies intersects with gender and sexual minorities, in particular through small data such as the birth certificate and big data on social media. He is currently working on a monograph relating to the inequalities and vulnerabilities that have developed for gender and sexual minorities through new and emerging media. He has written over twelve articles and book chapters on the intersections of identity with media. He has also been a researcher on several television documentaries and radio shows relating to LGBTQ culture.
Dr. Ifrim’s research focuses on developing scalable predictive models for machine learning and data mining applications. Her current research focuses on the design of efficient and interpretable learning models for sequences (e.g., DNA, time series), and on real-time prediction for streaming data (text mining for news and social media).
Dr TJ McIntyre is an Associate Professor in the Sutherland School of Law, University College Dublin where his research focuses on issues involving information technology law, cybercrime, and civil liberties. He holds a BCL from University College Dublin, an LLM from University College London and a PhD from the University of Edinburgh. His doctoral thesis was on the topic of internet filtering law and governance. He qualified as a barrister in the Honorable Society of King’s Inns, Dublin where he achieved the Antonia O’Callaghan Prize for Advocacy, and was later admitted as a solicitor by the Law Society of Ireland. He is also a member of the New York Bar. He practises as a consultant solicitor with FP Logue Solicitors, specialising in data protection and technology law issues. He is a specialist adjudicator for the .ie Alternative Dispute Resolution Policy. He is chairperson of the civil liberties group Digital Rights Ireland and regularly appears in the national and international media discussing issues of law and technology. Since 2010 he has been the Irish national expert on information society and data protection issues for the EU Fundamental Rights Agency research network.