Decision Making

Research Challenge 6: Decision Making

Strand 6.1: Reasoning — Ken Brown (UCC)

Strand 6.2: Trust, Privacy & Competence — Neil Hurley (UCD)

Strand 6.3: Explanation & Interpretation — Derek Bridge (UCC)

Strand 6.4: Human-Centric Aspects for Decision-assistive Technologies — Brian Mac Namee (UCD)

The ultimate aim of data science and analytics is to support better decision-making and to help people make good choices. These decisions can be informed by observed patterns in data, by an understanding of previous behaviours, from the preferences of users, from our understanding of uncertainty, as well as our knowledge of the underlying context and its limitations. Each of these aspects is important and they raise fundamental research questions. We pursue a research agenda that builds upon Insight’s long-standing reputation in areas of artificial intelligence which include constraint programming, operations research, recommender systems, case-based reasoning, cognitive computing and intelligent user-interfaces. Our objectives in addressing the decision-making challenge include developing new optimisation and explanation methods for use in real-world contexts, as well as helping decision-makers understand and navigate through complex information spaces. We are particularly interested in supporting human-in-the-loop settings, as well as developing methods and systems that provide intuitive insights across a diverse and complex range of application domains.