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DYLAN EVANS: CURRENT INTERESTS

My current research focuses on prediction markets and decision making:

PREDICTION MARKETS:  I recently teamed up with Intrade, the world's leading prediction market company, to investigate possible uses of these markets to forecast key indicators of public health in Ireland.  This project is funded by an Innovation Partnerships Feasibility Study Award from Enterprise Ireland.  This work has been featured in the Irish Times and the Irish Examiner and on the BBC World Service (to listen, click here) and on RTE Radio 1 (to listen, click here).

DECISION MAKING: I set up the Health Decision Making Research Group (HDMRG) in the School of Medicine at University College Cork to foster interdsciplinary collaborative research on decision making in health contexts.  The HDMRG has recentlly launched an ambitious programme of research entitled Future Medical Decisions.   I am also setting up an elective course for undergraduate medical students on "Decision Making in Medicine and Health" which I hope to teach in UCC School of Medicine in 2009-2010. I am particularly interested in the application of expected utility theory to medical decision making.

GAMBLING:  Expert gamblers seem to be less prone to the cognitive biases that affect most of us.  As a result, they can think about risk more clearly.  I am interviewing expert gamblers to learn more about the way they think about risk.  I will be presenting my initial findings at the Fourteenth International Conference on Gambling and Risk Taking in Lake Tahoe, Nevada, in May.

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My previous research has ranged from emotion and evolutionary psychology to robotics and global catastrophic risk:

EMOTION:  In my PhD thesis, and in my first post-doc at King's College London, I explored the psychological literature that investigates the way in which emotions help and hinder the decision-making process. In particular, I developed a view of emotions as heuristics that constrain the possible range of outcomes considered during the decision-making process. In other words, emotions may serve to render salient only a tiny proportion of the available alternatives and of the conceivably relevant facts. Thus they winnow down to manageable size the number of considerations relevant to deliberation. This theory fits well with the concept of emotional intelligence.  However, recently I have become more sceptical of the concept of emotional intelligence, for reasons that I explain in this video clip.

I later went on to write computer models which attempted to expand the rational-choice theory of decision-making by including elements of real human decision-making, such as motivational bias. For example, during my second post-doc, at the University of Bath, I constructed a multi-agent based model in which agents that incorporated emotional factors into their decision-making processes outperformed those that did not.

EVOLUTIONARY PSYCHOLOGY: I am fascinated by the process of natural selection, and especially the light that Darwin's theory can throw on the workings of the human mind.  I have written introductions to evolution and to evolutionary psychology, and am interested in the possibility of testing evolutionary psychology hypotheses by computer simulations - a research program I call "synthetic evolutionary psychology".

ROBOTICS: During my tenure as Senior Lecturer in Intelligent Autonomous Systems at the University of the West of England, I developed artificial models of emotion and conducted research on human-robot interaction. The models of emotion were intended to help robots make decisions in ways similar to those employed by humans.

GLOBAL CATASTROPHIC RISK: In 2006-7 I led a projectinvestigating the possibility that global civilisation may collapse within the new few decades.   To discover what life might be life in the aftermath of global collapse, I set up a simulation in which volunteers lived as if there had been a major failure of national infrastructure.  I am currently in the process of writing up this research.




This page was last updated: 3 May 2009.
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