“Some things happen of necessity, others by chance, others through our own agency.
For he sees that necessity destroys responsibility and that chance is inconstant;
whereas our own actions are autonomous, and it is to them that praise and blame naturally attach”
— Epicurus allegedly discovers the free will problem and links free will to accountability (Letter to Menoeceus, ~3rd century BC)
My work is in the areas of social psychology/judgment and decision-making, with a touch of experimental philosophy and cogntion.
My research mainly focuses on the following topics :
- Judgment and decision making, heuristics and biases: especially regarding agency and action.
- Choice, agency, and related folk lay-beliefs (e.g. belief in free will, morality)
- [Personal values (long-term desirable motivational goals)]
- Supporting and implementing open-science
- Recent push towards more pre-registered replications and pre-registered meta-analyses
Put simply, I’m interested in why people believe what they believe, value what they value, and make decisions and choices in the way that they do.
Recommended videos on my research interests
Judgment and decision making, heuristics and biases
Dan Ariely is a gifted public speaker and writer, and a prolific researcher, with lots on judgment and decision making, and a very clear summary of the basic ideas of this research domain in a book “predictably irrational” (see books section below), presented in the following Ted talk (though, by now, a bit outdated):
I don’t do much on the related practical field, but it’s an important growing research domain, recently acknowledged by a Noble prize to Richard Thaler. It’s commonly referred to as “Nudging”, nicely outlined by David Halpern (UK behavioral insights team) in the following RSA talk:
Studying “free will” scientifically
Also check out this video as part of the Science of Religion MOOC.
Studying ethical behavior (dishonesty)
Experimental Philosophy with/versus Decision-making
Replication / reproducibility crisis
I support the Open Science movement, and recommend any scholar in any discipline to educate themselves about the advances in science, problems and solutions. Here are some quick simplified videos to get you up to date on the problems as of 2016. I try to keep track of articles on my WIKI. You are welcome to read more about my related work on pre-registered replications and meta-analyses.
Issues with stats
To better understand how we test things in science (and psychology) using statistics, PBS has a good intro “Prediction by the Numbers” that discusses statistics, what Null Hypothesis Significance Testing (NHST) p-values are (some term as the “significance threshold”), possible biases in inferences, and the associated issues with NHST and p-values that have contributed to the current ongoing crisis.
Promoting open-access science
This movie is a good summary of the issue – Paywall: The Business of Scholarship
Psychological science books
Some have asked me what books I recommend. Below is a part list, targeted at the general audience.
Judgment and Decision Making / Behavioral Economics
- The Undoing Project: A Friendship That Changed Our Minds by Michael Lewis : the tales of Daniel Kahneman and Amos Tversky and the academia on the bridge between psychology and economics and beyond. A fascinating read, brief mention of key theories and developments. A rare glimpse at the inner workings of academia, collaborations, and the psychology fields.
- Predictably Irrational, Revised and Expanded Edition: The Hidden Forces That Shape Our Decisions by Dan Ariely (a bit outdated, especially given the “crisis” but insightful and entertaining)
- Dollars and Sense: How We Misthink Money and How to Spend Smarter by Dan Ariely and Jeff Kreisler. A good laypersons somewhat entertaining review of findings in the the judgment decision making literature.
- Thinking, Fast and Slow by Daniel Kahneman: an important read in the field, summarizes key findings, even if sometimes a bit too straightforward and aimed more at academics than laypersons. Daniel won the Noble prize for economics in 2002. (a bit outdated, especially given the “crisis”, I would skip the priming chapter)
- Misbehaving: The Making of Behavioral Economics by Richard Thaler : Richard Thaler lays out behavioral economics and his and others’ research on the bridge between psychology and economics. Richard won the Noble prize for economics in 2017. Some of the tales entertaining, fairly simple language, but some chapters go deep into economics jargon.
Morality / Lay-beliefs
- The Honest Truth About Dishonesty: How We Lie to Everyone-Especially Ourselves by Dan Ariely (a bit outdated, especially given the “crisis” but insightful and entertaining), you might also want to check out the 2015 movie – (Dis)Honesty: The Truth About Lies
- The Mind Club: Who Thinks, What Feels, and Why It Matters by Daniel Wegner and Kurt Gray. Summarizes theory of mind and attributions of mind, covers interesting laybeliefs, and somewhat related to the literature on layconcepts of free will and dualism (mind-body). Though provoking read.
- The Righteous Mind: Why Good People Are Divided by Politics and Religion by Jonathan Haidt. Although I don’t agree with it all, and it is derived from and is focused on the political divide in the US, there are some interesting insights here about Haidt’s moral foundations morality classification.
General: Beyond psychology
Far beyond the field, but important reads, with implications for psychology:
- Sapiens: A Brief History of Humankind by Yuval Noah Harari
- Homo Deus: A Brief History of Tomorrow by Yuval Noah Harari
- 21 Lessons for the 21st Century by Yuval Noah Harari
Psychological science podcasts
If you like podcasts, I regularly listen to:
More low-level open-science meta-psychology kind of podcasts for those in the field:
- Everything Hertz
- The Black Goat
- Circle of Willis
- Two Psychologists Four Beers
- Marginally significant
- The Bayes Factor
- Psyphilopod (on iTunes)
- WorkLife with Adam Grant
More broadly beyond psychology, but sometimes touching on psychology:
Recommended online courses about statistics and science
- Improving your statistical inferences | Coursera, by Daniel Lakens
- Calling Bullshit: Data Reasoning for the Digital Age