Arthit is a PhD candidate in SFI Centre for Research Training in Digitally-Enhanced Reality (d-real), working on the mapping of accountability requirements for automated decision-making (ADM) systems and the technical capabilities of Machine Learning Operations (MLOps), based on Mark Boven’s model of public accountability. He is also a member of Knowledge and Data Engineering Group (KDEG) at Trinity College and the Digital Governance strand of ADAPT, SFI Research Centre for AI-Driven Digital Content Technology.
Arthit has a background in natural language processing and cultural anthropology. His anthropology master thesis is on cultural politics on social media platforms during a series of protests in Thailand, focusing on the production of internet memes and digital placemaking. He co-founded Thai Netizen Network, a civil society organization promoting human rights and civil rights in digitally-connected environments, and now serves as a member of the Media and Telecommunication subcommittee for Thailand Consumers Council.
His research interests include the relationship between privacy and agency, AI governance, proportionality of content moderation measures, and computational methods of legal and journalistic practices. During his internship at UCD Centre of Digital Policy, he has worked on topic modeling of national AI strategies. He translates personal digital security apps to Thai language in his free time.
Assistant Professor at the School of Information & Communication Studies at UCD, Programme Director for the MSc in Communication & Media and co-founder of the Human-Computer Interaction research group HCI@UCD.
I am a funded investigator with ADAPT, the SFI Research Centre for AI Driven Digital Content Technology, conducting research into autonomy and responsibility in transparent digital governance. My research currently focuses on creative and practical approaches for supporting ethical design and development of digital technologies. Recent published work includes social expectations and public communication of ethics and AI, ethical design for technologies to support mental health and ethics and computing for secondary school curricula. My interests are in developing a deeper understanding of digital interaction for better and more human-centred communication design.
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.
Professor Shankar takes an interpretive, organisational, and institutional approach to topics that are usually “practical” and atheoretical: data archiving/management and the research enterprise itself. As a former laboratory scientist turned social scientist, she began her academic career by studying the practice of science through the production of documents, for example, laboratory notebooks, data sets, and data entry forms. Although my early research focused on paper records (work that is still widely cited and continues to increase in citations), the data-intensive nature of contemporary science (and contemporary life) led me to consider the social life of data more broadly.
Her research focuses on the uses of data and information (digital and otherwise) in the social sciences, open data, and data archives, as well as more recently work on research evaluation and peer review.
Currently, Professor Shanka is focused on studying the peer review process with Science Foundation Ireland, funded by SFI itself. This grant is one of the first calls specifically focused on science policy and research on research. It involves conducting mixed methods studies of the peer review ecosystem at SFI in several key programme streams. The project represents one of the first to allow this kind of access over an extended period of time to a funding agency and it is expected to be an exemplar for similar work in other national contexts.
She is also a co-PI on a grant from Worldwide Universities Network to learn more about academic workers and well-being during COVID.
After completing a Ph.D. in library and information science at UCLA, Professor Shanka conducted postdoctoral research in the Center for Embedded Networked Sensing at UCLA and completed a AAAS Science Policy Fellowship at the National Institutes of Health Office of Evaluation. Prof Shankar was previously an Assistant Professor at Indiana University-Bloomington’s School of Informatics and Computing before joining the staff at UCD in the School of Information and Library Studies in July 2011. She was the Head of UCD’s School from 2015-2018, and is a fellow of the Geary Institute and is co-director of the centre for Digital Policy.
Professor Shankar is the coordinator for Digital Policy, Information, Society and Culture and Data & Society, Research and Discovery and data management modules at the School of Information and Communication Studies
Recent Publications Include
- McGaughey, F., Watermeyer, R., & Shankar, K. (2021). ” This can’t be the new norm”: Academics’ Perspectives on the COVID-19 Crisis for the Australian University Sector. Higher Education Research and Development.
- Luo, J., Ma, L., & Shankar, K. (2021). Does the inclusion of non-academic reviewers make any difference for grant impact panels?. Science and Public Policy.
- Feliciani, T., Shankar, K., Lucas, P., & Luo, J (2021). Does social influence matter in peer review?.
- Watermeyer, R., Shankar, K., Crick, T., Knight, C., McGaughey, F., Hardman, J., … & Phelan, D. (2021). ‘Pandemia’: a reckoning of UK universities’ corporate response to COVID-19 and its academic fallout. British Journal of Sociology of Education, 1-16.
- Shankar, K. The pandemic information gap: The brutal economics of COVID‐19, Joshua Gans, Cambridge, MA: The MIT Press, 2020.
- Ma, L., Luo, J., Feliciani, T., & Shankar, K. (2020). How to evaluate ex ante impact of funding proposals? An analysis of reviewers’ comments on impact statements. Research Evaluation.
I am an Associate Professor in the School of Computer Science. My research and teaching focus on Human Computer Interaction, with a focus on healthcare technologies and the application of cognitive neuroscience in system design and understanding. Prior to joining UCD I was a Lecturer and Senior Lecturer in Human Computer Interaction with the Bristol Interaction and Graphics group at the University of Bristol.
Broadly speaking, Human Computer interaction is a discipline dedicated to research and education in topics related to computer technology in support of human activity and society. I am particularly interested in the design of health care technologies. Prior to Bristol I was a Marie Curie post-doctoral research fellow at the University of Cambridge. I was based jointly with the Computer Laboratory and the Behavioural and Clinical Neuroscience Institute. My research focused on the application of neuro-cognitive methods to provide a more in-depth understanding of human computer interactions. More specifically, I investigated peoples’ experience of agency while interacting with intelligent computer interfaces and on-body technologies. Ultimately I believe this research has applications both in Human Computer Interaction and in understanding the difficulties faced by people suffering from unusual and disabling perceptual experiences.
Much of my prior research has focused on the design of technology to support mental health interventions. From September 2007 to November 2009 I was a post-doctoral research fellow at Trinity College Dublin. I was the Lead Interaction Designer on the Technology Enhanced Therapy project. We developed a software platform called SilverCloud. IP from the SilverCloud system provided the basis for a spin out company called SilverCloud Health Ltd. In May 2012 this company was named ‘Most Investable Business in Ireland’ at the Irish Software Association Software Investment Forum. Customers include a cross section of private and public healthcare providers in the US, Ireland, UK and Europe, and include the largest health insurance company in the US. My PhD, also at Trinity College Dublin, focused on the design of computer systems to support clinical interventions for adolescents experiencing medium to severe mental health difficulties. I developed a framework that supported the rapid creation of therapeutic computer games. Using the framework, and worked collaboratively with mental health researchers and practitioners, I developed a series of games for use in face-to-face interventions.
Dublin Institute of Technology
Dublin City University (DCU) IRL
Trinity College Dublin
Professor Cunningham is Professor of Knowledge and Data Engineering in the School of Computer Science at University College Dublin. His current research focus is on the analysis of graph and network data and on the use of machine learning techniques in processing high-dimension data.He has a B.E. and M.Eng.Sci. from NUI Galway and a Ph.D. from Dublin University which he received in 1989. He was elected to Fellowship in TCD in 1998. He became a Fellow of ECCAI (European Coordinating Committee on Artificial Intelligence) in 2004. After completing his PhD he worked with Digital Equipment Corporation as a Software Engineer and with Hitachi Europe Ltd. as a Research Scientist. He joined Trinity College Dublin as a lecturer in 1992. After promotion to Senior Lecturer then Associate Professor at TCD he moved to University College Dublin in 2006 to take up a full Professorship in the School of Computer Science and Informatics. He is a former director of New World Commerce, now New WorldIQ, a Dublin e-commerce IT company that employed over 40 people. He is a former director of Prediction Dynamics a Dublin company specialising in software for financial trading which employed 14 people. Professor Cunningham has published over 170 peer-reviewed papers in the general area of applied AI, focusing on machine learning and knowledge based systems for decision support in engineering, e-commerce, finance and medicine. Over the last 10 years he has brought in over ‘2.5M in research grants, from industry, from EU funding sources and from national funding sources. He was Programme Chair for PAIS 2004, Prestigious Applications of Intelligent Systems (ECAI applications track). He is a member of the Editorial Board of Artificial Intelligence Review. He was co-chair for the European Workshop on Case-Based Reasoning in 1998 having served on the Programme Committee for that workshop in recent years. He chaired the Irish AI and Cognitive Science conference in 2003, having co-chaired that conference in 1994. Between 2002 and 2004 he served as Irish Director of ERCIM (www.ercim.org), the European consortium of national ICT research institutions.
- Lecturer, Senior Lecturer, Associate Professor
- Trinity College Dublin1 Oct 1992 – 1 Sep 2006
- Professor of Knowledge and Data Engineering
- University College Dublin1 Sep 2006
- Software Engineer
- Digital Equipment Corp.1 Oct 1988 – 1 Oct 1989
- Research Scientist
- Hitachi Dublin Laboratory1 Oct 1989 – 1 Sep 1992
- NUI Galway IRL
- NUI Galway IRL
- NUI Galway IRL
- Trinity College Dublin
Dr. Derek Greene is Assistant Professor at the School of Computer Science, University College Dublin, and a Funded Investigator at the SFI Insight Centre for Data Analytics and the SFI VistaMilk Research Centre. He has over 15 years’ experience in the fields of artificial intelligence and machine learning, with a PhD in Computer Science from Trinity College Dublin, and over 50 research papers presented at international conferences and published in journals. He currently leads a research group which focuses on developing algorithms for social network analysis and text mining. He is also involved in a range of interdisciplinary projects which involve applying machine learning methods in areas such as digital humanities, smart agriculture, and political science.
Donncha Kavanagh joined the MIS Subject Area as Professor of Information & Organisation in April 2013. Donncha is a first class honours civil engineering graduate of UCD. He has an MSc in Civil Engineering from the University of Missouri and a PhD from Lancaster University Management School. He was a Fulbright Scholar at the University of San Diego in 2003. His research interests include the sociology of knowledge and technology, the history and philosophy of management thought, pre-modern and postmodern modes of organizing, play and creativity, and (digital) money. Donncha has published widely in the fields of information and organisation, management, marketing, organisation studies, and engineering in leading international peer-reviewed journals such as Organization, Organization Studies and the Journal of Business Research. Prior to his academic career, Donncha worked in a number of project management and project controller roles.
- University College Dublin
- Inst of Engineers of Ireland
- University of Missouri
- Lancaster University. UK
- Irish – Can read, write and understand