Simon van Baal
@svanbaal.bsky.social
Lecturer in Decision Making at University of Leeds. Main interests: time preferences, impulsivity, self-control. Incl applications like gambling, consumption/saving, difficult decisions. Check out the behavioural science feed I made, and tag #BehSci.
What a special surprise! Glad to report it’s totally legit and that I will be feeding the “less privilege” with the power of organization.
November 6, 2024 at 8:00 PM
What a special surprise! Glad to report it’s totally legit and that I will be feeding the “less privilege” with the power of organization.
After scouring the web and coming up empty, I developed a small app to visualise expected utility of gambles for my students. Perhaps it's of use to you; you can adapt my code too if you like, it's linked to a public github repo. Please let me know any feedback! simonvbaal.shinyapps.io/utility/
October 10, 2024 at 11:19 AM
After scouring the web and coming up empty, I developed a small app to visualise expected utility of gambles for my students. Perhaps it's of use to you; you can adapt my code too if you like, it's linked to a public github repo. Please let me know any feedback! simonvbaal.shinyapps.io/utility/
What's more, we find that we can use this attribute info and predict future choices by using the weighted additive model. The correlations prove the concept, but we think building on this is a promising avenue for enhancing the predictive abilities of decision science (3/n)
February 11, 2024 at 1:00 PM
What's more, we find that we can use this attribute info and predict future choices by using the weighted additive model. The correlations prove the concept, but we think building on this is a promising avenue for enhancing the predictive abilities of decision science (3/n)
find common choice tradeoffs. Using >200 theory-driven attributes, we see which attributes are in a choice option (e.g., "this will bring my spouse and me closer" = Marital Fulfilment). Hierarchical clustering (A), PCA (B), and network plots (C) help us see choice structure (2/n)
February 11, 2024 at 12:59 PM
find common choice tradeoffs. Using >200 theory-driven attributes, we see which attributes are in a choice option (e.g., "this will bring my spouse and me closer" = Marital Fulfilment). Hierarchical clustering (A), PCA (B), and network plots (C) help us see choice structure (2/n)
I’m afraid the cropping is not great 😅 But alongside w Claudia Massaccesi and Alicja Brzozowska, I got the Postdoc Award 2023. I’m honoured and feel lucky to have a supervisor @robertboehm.bsky.social who supports me, and thank my collaborator Manos Konstantinidis who will help me spend research 💰!
December 18, 2023 at 11:24 PM
I’m afraid the cropping is not great 😅 But alongside w Claudia Massaccesi and Alicja Brzozowska, I got the Postdoc Award 2023. I’m honoured and feel lucky to have a supervisor @robertboehm.bsky.social who supports me, and thank my collaborator Manos Konstantinidis who will help me spend research 💰!
Convinced this view is brain medicine
September 8, 2023 at 3:20 PM
Convinced this view is brain medicine