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#behavioralscience

2 posts2 participants0 posts today
Public
Hari Tulsidas

The EAST framework, developed by UK behavioural scientists in 2014, distils over a decade of behavioural science into four simple, actionable principles for changing behaviour effectively. It originated from a government initiative to improve public programs by applying psychological insights.

#EASTFramework #BehavioralScience #PublicPolicy

inc.com/jessica-stillman/10-ye

Public
Knowable Magazine

👀 On our radar: Get curious!

💬 “Curiosity can disappear just when we need it most. In fact, some research suggests questions can serve as an antidote to the anxiety that can arise in times of great uncertainty.”

✍️ Elizabeth Weingarten, Behavioral Scientist

🔗 behavioralscientist.org/in-unc

Behavioral Scientist · In Uncertain Times, Get Curious - by Elizabeth Weingarten - Behavioral ScientistAsking better questions can act as an antidote to uncertainty—and the anxiety that comes with it.
#BehavioralScience#ScienceMastodon
Public *
Aleksandra Lazić

Just published: my 3rd & final PhD paper!

🧪📢 How should we talk about vaccination rates?

Assuming rationality, normativity, or reasonableness leads to very different outcomes.

Findings from 3 experiments:

Open access paper doi.org/10.1177/00332941251340

Data and #rstats code: osf.io/2wy9q/

🧵 And a longer post over on LinkedIn: linkedin.com/posts/alelazic_rs

A digital scan of the first page of a journal article titled “Should Public Communication of Vaccination Rates Assume Rationality, Normativity or Reasonableness? Insights from Three Preregistered Experiments.” The title is in bold black text. Authors are Aleksandra Lazić and Iris Žeželj, affiliated with the University of Belgrade – Faculty of Philosophy. The article is published in Psychological Reports (2025, Vol. 0(0), pages 1–26). A Creative Commons license and DOI link are included.
Violin Plot Comparing Vaccination Intention by Message Type (Figure 1)
Four Violin Plots Comparing Vaccination Intention Pre- and Post-Message Intervention (Figure 2)
#Psychology#PublicHealth#ScienceCommunication
Public
Everyday.Human Derek

#science
#academia
#learning
#Ecology
#BehavioralScience
#Nature

@academicchatter
@sc

Question are there any cognitive computational pedagogy specialists,scientists, teachers out there I have a few questions?

I’m trying to research and do an analysis on learning and behavior, and break it down computationally with diversity models of out groups in group mixing within organisms starting out with humans and or other organisms life forms.

Please and thank you,
Boost for reaching out please!

Public *
travis a. tatman

Heyo! Been a while. Here's a paper I wrote at SIPA — how to tackle mis- & dis-information.

Below are the concluding remarks as a teaser to get you to open the full paper. Cheers!

I believe that a policy suite that includes 1) improved knowledge of the problem and preventative measures via media literacy, 2) training in critical thinking and awareness, through social and emotional learning (SEL), cognitive behavioral therapy (CBT), and other cognitive health and mindfulness programs, 3) a heightened motivation to combat the mis/disinformation issue, using effective storytelling and creative incentives, and 4) presenting a clear path to a fact-based media ecosystem—such as a public-private digital media mission—not only hold great promise to reducing mis/disinformation today, but could prepare future generations for a host of future challenges, including the next era of information disorder.

🔗 travs.blog/wp-content/uploads/

#Misinformation #Disinformation, #MediaLiteracy #BehavioralScience

Public
guyjantic has moved!

#malcolmGladwell has another book, I guess trying to rescue his much-nitpicked #TippingPoint.

IDK if he's a net positive force in the world or not. As a #psychologist I've occasionally looked up the original #research he cites. He tends to portray findings in black-and-white terms, like "People do X in Y situation!" when, most often, I've found the research best supports something like "In some studies 12% of people did X in Y situation despite previous #models predicting it should only be 7%" or "The mean of the P group was 0.3 standard deviations higher than the mean of the Q group".

I see many of his grand arguments as built more or less on a house of cards. Or rather, built on a house of semi-firm jell-o that he treats as if it were solid bricks.

I'm not knocking (most of) the #behavioralScience he cites; Hell, I'm a behavioral scientist and I think this meta-field has a ton to offer. I just think it's important to keep #EffectSize and #PracticalSignificance built into any more complex theories or models that rely on the relevant research instead of assuming that #StatisticalSignificance means "Everything at 100%". I'm sure there's some concise way to say this.

Overall, I think he plays fast and loose with a lot of scientific facts, stacking them up as if they were all Absolutely Yes when they're actually Kinda Maybe or Probably Sort Of and I don't think the weight of the stack can be borne by the accumulated uncertainty and partial applicability indicated by the component research.

So I take everything he says with huge grains of salt and sometimes grimaces, even though I think sometimes he identifies really interesting perspectives or trends.

But is it overall good to have someone presenting behavioral research, heavily oversimplified to fit the author's pet theory? It gets behavioral science in the public eye. It helps many people with no connection to behavioral science understand the potential usefulness and perhaps scale of the fields. It also sets everyone--especially behavioral scientists--up for a fall. It's only a matter of time after each of his books before people who understand the research far better than he does show up to try to set the record straight, and then what has happened to public confidence in behavioral science?

Meh.

#statistics#data#competence
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