Wednesday, December 04, 2024
Talk at LSE Seminar on Colonial Context of Behavioural Science
Sunday, November 24, 2024
17th Annual Irish Economics, Psychology, and Policy conference
17th Annual Irish Economics, Psychology, and Policy conference
We are glad to announce that the 17th annual one day conference on Economics and Psychology will be held on Wednesday, December 11th, 2024 in person at the Economic and Social Research Institute. Details of the 16 previous workshops are available here https://bsp.ucd.ie/annual-economics-and-psychology-conferences/
The purpose of the conference is to develop the links between Economics, Psychology, and cognate disciplines throughout Ireland. A special theme of these events is the implications of behavioural science for public policy. To facilitate a large number of presentations and sufficient time for chats during the breaks, each presentation will be short, with each speaker being provided 15 minutes for their presentation including Q+A. Lunch and coffees will be provided to speakers and attendees. The provisional schedule is below which is subject to some minor changes.
If you would like to attend but not present, please use this link to register and leave the answers on paper and abstract blank.
https://lse.eu.qualtrics.com/jfe/form/SV_3I42JKab5tv3qFE
Best Regards,
Liam Delaney, Emma Howard, Feidhlim McGowan, Leonhard Lades, Shane Timmons.
Please note the names represent the scheduled presenters and many of these paper are co-authored works which will be indicated in the talk.
09:00 – 09:20: Welcome
Session 1: Chair Emma Howard
09:20 – 09:35: Patricia Lentz “Administrative Burdens as Barriers to Afforestation: A Sludge Audit of Ireland’s Afforestation Scheme”.
09:35 – 9:50: Kate Laffan (LSE) “Empathetic Forecasting Errors: Barriers to Sustainable Lifestyle Shifts?”.
9:50 – 10:05: Margaret Samahita (UCD) "Luxury beliefs": Signaling through ideology?”.
10:05 – 10:20: Diarmaid Ó Ceallaigh (ESRI) “Effects of inducements on sports gambling and decision-errors: An experimental study”.
10:20 – 10:35: Deirdre Robertson (ESRI) “A behaviourally-informed app can encourage switching of financial products”.
10:35 – 11:00: Tea/Coffee
Session 2: Chair Leonhard Lades
11.00 – 11:15: Roland Umanan (TCD) “What Matters for Consumer Credit Choice? Evidence from the Philippine Digital Credit Market”.
11:15 – 11.30: Maria Lee (ESRI) “The role of fairness and effectiveness in obesity policy perceptions”.
11:30 - 11.45: Eve Smyth (HMRC) “The Engagement to Action Gap in Digital Tax Communications”.
11:45 - 12.00: Adam Schier (ESRI) “The Effects of Emissions Labels on Consumer Choice of Lower-Emission Flights”.
12.00 - 1215: Phillip Ryan (UCD) “Irregular Behaviour: Public Policy Interventions and Disability”.
12:15 – 13:00: Lunch
13:00 – 14:00: Keynote by Faisal Naru on “Behavioral public policy bodies: New developments & lessons”. Chaired by Liam Delaney
Session 3: Chair Feidhlim McGowan
14:00 – 14:15: Giorgia Conte (TCD) “Parental leave policy and fertility decisions: the case of Denmark”.
14:15 – 14:30: Aaron Deegan (Department of Health) “Changing Behaviour: Reducing Unnecessary Antibiotic Prescribing. A Systematic Review and Meta-analysis”.
14:30 – 14:45: Marta Talevi (UCD) “Incentives for the energy transition: Feed-in tariffs, rebates, or a hybrid design?”.
14:45 – 15:00: Vessela Daskalova (UCD) “Signalling Identity”.
15:00 – 15:25: Coffee
Session 4: Chair Shane Timmons
15:25 – 15:40: Pete Lunn (ESRI) “Investigating climate change mitigation via an economic game: the externality social dilemma”.
15:40 – 15:55: Lucie Martin (ESRI) “Comparing farmer and public perceptions of climate change and climate policies in Ireland”.
15.55 - 16:10: Liam Delaney (LSE). “On the relevance of valuing past experiences”.
16:10 – 16:25: Amy Hume (Ofcom) “Changing User Behaviour and Harnessing BI to Enhance Online Safety in the UK”.
1625 – 16:40: Leonhard Lades (Stirling) “Who suffers from sludge?”.
Wednesday, November 13, 2024
Kahneman and Tverksy 1974
Friday, November 01, 2024
Some recent meta-analyses of time preferences
A recent meta-analysis (currently available as a working paper pre peer-review) by Cheung, Tymula & Wang on estimates of hyperbolic discounting. So-called beta-delta preferences imply that if beta is less than one and delta is less one then people both discount the future but also discount the future more in early periods e.g. money tomorrow is worth less than money today to a greater extent than money in 31 days is worth less than 30 days. https://lnkd.in/e2GeeJ3q Another recent meta-analysis also finds strong evidence of present-bias https://lnkd.in/eq3hAmSb Both reviews find little to modest evidence of publication bias and selective reporting driving the findings. There are differences between the papers and in the literature particularly on estimates of delta and clearly a lot to sort out about what generates differences in present bias across people. Again, I think it is fair to say that these are mature literatures theoretically and empirically. They will evolve over time but the main findings are emerging from many teams and studies and a vigorous and interesting empirically-grounded theoretical discussion with a lot of practical implications.Humans are awkward & complex but it is absolutely fascinating and very rich as an area of study and at least partly underpins many real applications such as pension autoenrolment/autoescalation. Great to discuss it every year with students here.
Saturday, October 19, 2024
IBPPA Seminar: Ethics as the Foundation of Applied Behavioural Science.
Saturday, October 12, 2024
AI and the future of behavioural science | LSE Event
We recently held an event at LSE on AI and the Future of Behavioural SCience. IT was a very stimulating session. The video and description are available below.
Artificial Intelligence (AI) is transforming various aspects of behavioural science. For example, AI-driven models are being used to predict human behaviour and decision-making, and to design personalized behavioural interventions. AI can also be used to generate artificial research participants on whom behavioural interventions can be tested instead of on humans. AI is creating many new opportunities and challenges in behavioural science, disrupting the discipline to the degree that researchers, practitioners, and any behavioural science enthusiasts are trying to keep up with the new developments and understand how to best navigate the rapidly changing landscape. In this public event, speakers who are associated with pioneering work on AI in relation to behavioural science, as part of their own research or organisational initiatives, will discuss their views on how AI will change and is already changing behavioural science. This will involve touching upon topics such as the implications of AI for behavioural scientists in academia, public, and private sectors, new skills that will be required by behavioural scientists of the future, and impact on behavioural science education.
Professor Liam Delaney