Incoming Assistant Professor of Environmental Behavioral Sciences at
@Stanford
School of Sustainability
@stanforddoerr
. Director of Collective Cognition Lab. 🌍
How can we effectively stimulate climate awareness and action around the world? We answer this question in our new global study, now out in
@ScienceAdvances
We tested 11 expert-crowdsourced behavioral interventions in a sample from 63 countries:
1/7
I am so thrilled to join
@NYUPsych
as an Assistant Professor this fall!
My lab will focus on collective belief and behavioral change interventions, particularly in the context of climate action.
Many thanks to everyone who helped me achieve this dream!
Are the internet algorithms we use on a daily basis imbued with societal biases? If so, how do their outputs impact us?
In a new paper (out today in PNAS: ) we found that gender bias in Google Search reflects the degree of gender inequality in society. 1/4
Need to change an ideologically charged belief? Check out or new
@PsychScience
paper out today, showing how triggering prediction errors can be used as a belief change strategy:
Do beliefs predict behaviors? Yes for both political and nonpolitical issues. But does belief change predict behavioral change? It's complicated – see thread.
New paper with Casey McMahon
@jayvanbavel
and Alin Coman – PDF:
Postdoc job alert!
The Collective Cognition Lab is moving moving to
@Stanford
in the Department of Environmental Social Sciences
@stanforddoerr
& looking for a postdoctoral scholar interested in the psychology of climate beliefs and behaviors.
Apply now:
The climate crisis threatens life of Earth. How can we effectively stimulate climate awareness and action around the world?
In a new global intervention tournament we tested 11 expert-crowdsourced interventions in a diverse sample from 63 countries:
1/7
Why are entrenched collective beliefs so resistant to change, and how could misinformation combating interventions more effectively target false beliefs?
Out today in Perspectives
@PsychScience
we answer these questions with the new BENDING model [] 1/3
Celebrating one year of the NYU Collective Cognition Lab 💜 So grateful for this incredible group of scientists not afraid of tackling society’s most challenging issues, from climate change to misinformation to inequality. You inspire me!
Join the lab:
Just finished teaching my first course
@nyuniversity
[Statistics for Psychology Graduate Students] and I've never been happier to see a significant effect: Students reported having increasingly more confidence in their statistics and coding skills over the course of the semester!
Interested in the psychology of climate action?
In addition to a postdoc, I am also looking for a lab manager to help kickstart my new lab at
@Stanford
in the
@stanforddoerr
Department of Environmental Social Sciences.
Apply here:
Postdoc job alert!
The Collective Cognition Lab is moving moving to
@Stanford
in the Department of Environmental Social Sciences
@stanforddoerr
& looking for a postdoctoral scholar interested in the psychology of climate beliefs and behaviors.
Apply now:
Interested in social identity, morality, and collective cognition?
Apply for our joint lab manager position
@nyuniversity
in the
@vanbavellab
and Collective Cognition Lab []
For additional details and to submit your application:
What is the role of our communities' structures in determining how we form collective beliefs?
Check out our new paper [out today in JCC: ] to see how our beliefs are influenced by interactions in our social networks leading to belief synchronization.
In a new study [preprint: ] with
@criticalneuro
and
@MiroDudik
we analyzed the co-authorship network of 16,385 AI researchers at 158 organizations, in an exploration of the structural characteristics of research organizations shaping modern AI.
Thread👇
Do internet search algorithms pick up on existing societal biases? If so, how do their biased outputs influence us?
In a new preprint [] with
@david_m_amodio
we assessed the relation between gender inequality and algorithmic output in over 50 countries 1/5
Join our Climate Advocacy Challenge [] a new megastudy of behavioral interventions targeting collective climate action, led with
@dgoldwert
and
@smconstantino
.
Become a collaborator by submitting an intervention idea that is selected for testing!
1/ n
How can we overcome the polarization on climate action?
#EarthDay2024
In a global experiment
@NatureComms
led by
@MikeBerkWein
and
@dgoldwert
we tested 11 interventions in a large sample (N=51,224) recruited in 60 countries.
Read our takeaways in
@TIME
The intervention votes for our Manylabs-Megastudy are in! Given the increase in the number of collaborators (>200) and sample size (N >100,000) we decided to include all 11 interventions in the main study.
For additional info visit
@kim_doell
@jayvanbavel
Alarmed about climate change?
A doom response might be as unhelpful as a denier/delayer/diverter attitude, if the conclusion is inaction.
Instead, we should act together to replace our energy dependence on fossil fuels with renewables.
Fantastic book by
@MichaelEMann
I am accepting graduate students this year! Apply to join us in the Collective Cognition Lab
@NYUPsych
() if you’re interested in behavioral science interventions addressing the
#ClimateCrisis
Here's a list of amazing resources for PhD applicants.
Applying to grad school is a huge (and daunting) undertaking with so many things to consider. However, there are some amazing resources out there that can be helpful for navigating this process - I’d like to highlight a few below 🧵
In a new preprint with Casey McMahon,
@jayvanbavel
, and
@alinicoman
, we find a causal connection between people's beliefs (health & political) and their donation behaviors, across 3 experiments (N=659). Thread!
Preprint:
In a new study published today [] we find that people rely more on scientific compared to anecdotal evidence when updating their health-related beliefs. We also find that normative compared to nonnormative evidence is preferentially incorporated in beliefs.
Thrilled to be joining
@NYUPsych
this fall as a NYU Provost’s Postdoctoral Fellow working with
@david_m_amodio
on computational models of impression formation and social biases in AI 💛
Belief change predicts behavioral change for nonpolitical issues. For political ones, belief change predicts behavioral change only for Democrats evaluating Democratic (not Republican) issues. Republicans' belief change doesn't track with behavioral change on any political issue.
Do you know of a Postdoc funding opportunity for Psychology researchers?
Please share as comment here and help us build a public comprehensive resource!
Thank you
@PsychScience
for the APS Student Research Award! Excited to share this research in the APS virtual showcase with everyone and hear all of your thoughts on it!
At
#ICEP2023
? Stop by our symposium on Thursday at 3pm to see the first results of the Climate ManyLabs MegaStudy project presented by
@kim_doell
@dgoldwert
@ClaraPretus
and I. Looking forward to seeing you there!
#TheClimateBook
by
@GretaThunberg
is a must read!
Our new Psychology of Climate Emergency course
@nyuniversity
will be heavily inspired by this honest and comprehensive overview of the global crisis we are experiencing.
To get the gist of our course see:
Couldn’t be happier to welcome
@dgoldwert
to
@NYUPsych
as my first graduate student!
Danielle will apply cognitive and behavioral science to the climate crisis, and her work will be sponsored by the NSF GRF.
Welcome to the team
@dgoldwert
Going to
#SPSP2023
and interested in how the behavioral sciences can inform the climate crisis?
Check out these talks from the NYU Collective Cognition lab:
Huge shoutout to
@eriverapichardo
and
@BiddlePsych
for organizing the Political Psychology Preconference at
#SPSP2023
where I had the pleasure to talk about behavioral science responses to the
#ClimateCrisis
at the individual, collective, and system level.
So grateful to everyone whose support has helped me get to this most exciting point in my life, which we’re celebrating on this happy day at
@Princeton
#PhDone
Best conference planning award goes to
@jayvanbavel
for taking us to NYU Florence to kick start this summer with amazing conversations and fresh ideas 💜
How do conversations shape our COVID-19 beliefs?
In a new paper [out today: ] we found that people changed their beliefs to match the beliefs of their interaction partners. 1/3
So proud of rising star
@dgoldwert
for giving an amazing first departmental talk on the ideological polarization of climate change around the world
@NYUPsych
#COP28
president says there is ‘no science’ behind demands for phase-out of fossil fuels
But there is science on this! E.g., in our new global study in press
@ScienceAdvances
support to transition to clean energy was at 80%:
Great to see our work on belief change strategies featured in
@PsyPost
‘Psychologists have found that triggering large prediction errors helps to change false beliefs’ via
@psypost
Tune in to hear the results of our Global Manylabs Megastudy to Increase Climate Awareness and Action in 63 Countries!
Tomorrow, Monday Oct 23rd, at 10am EST, in the Big Team Science Conference hosted virtually!
Sign up for the zoom link here:
If you’re in Chicago at
#APS2022
please stop by my symposium talk on the formation of collective beliefs [on Friday at 11:30am (Michigan 2)] and/or my talk on the effects of prediction errors on belief change [on Sunday at 9am (Grand Hall L)]! Looking forward!
Excited to have reached the 70-country milestone in our randomized control trial testing behavioral interventions to stimulate collective climate action. Thanks to everyone who is contributing!
You can still sign up to collaborate:
As a result of participants’ behavior in the study, our team actually planted 333,333 trees with a donation to The Eden Reforestation Project
@eden_reforest
5/7
Do Internet Search algorithms portray climate change differently across the globe? If so, what predicts these discrepancies, and how do the different algorithmic outputs (e.g., Google Images) then influence climate policy support among users?
New preprint led by
@MikeBerkWein
👇
How do search engines decide what results to show us? Do these decisions impact how we view social issues? In a new paper ()
@vlasceanu_mada
and I found that Google propagates collective climate change concern, impacting people’s policy endorsements. (1/4)
Join the
#SPSP2022
Psychology of Collectives Pre-Conference today to hear from
@duncanjwatts
@MortezDehghani
and others.
In my talk at 2pm EST, I will describe mechanisms by which the microlevel cognitive processes of changing beliefs trigger macrolevel collective belief change.
@AjuaDuker
@nyu
@jaricheson
I am so thrilled!! We’re sooo lucky to have you!
Also, can we please share an office again? There was nothing like the summer of 2015 when we shared an office and taped this picture to the door
We found that:
Climate change beliefs were strengthened most by decreasing the psychological distance of the climate change consequences.
Climate policy support by writing a letter to a future generation member explaining one’s current actions to ensure a livable Planet.
2/7
We found that greater national-level gender inequality was associated with more male-dominated Google image search results for the gender-neutral keyword *person* (in a nation’s dominant language), revealing a link between societal-level disparities and algorithmic bias. 2/5
Join us *tomorrow* Sunday Sept 17th in NYC, to march for climate policy:
This march is organized by a broad coalition of local and national climate justice organizations in advance of the UN Climate Ambition Summit.
A reminder of why this matters: 1/n
Loved being back in
@Princeton
to discuss ‘the nature of belief’ with a highly interdisciplinary group of scientists.
Thanks
@TaniaLombrozo
for organizing!
We have an artist in the family! The absolutely outstanding
@dgoldwert
displayed her paintings in an art gallery at the New Amsterdam Library in New York and they are breathtaking! Check them out until May 31st!
When are social protests effective?
For sympathetic audiences: normative nonviolent forms of action are more effective.
For resistant audiences: more extreme disruptive action are more effective.
Excited new work by
@EricMShuman
et al.
Really excited to share our new paper "When Are Social Protests Effective?", out in
@TICS
, which introduces a new theoretical framework for evaluating the effectiveness of social protest:
Closing the gender gap in institutions is necessary but not sufficient to reduce sexist remarks in meetings.
Great talk by
@criticalneuro
in today’s session of the Social Biases in ML and Human Nature
@Princeton
In two multinational samples (n=37, 52 countries), greater nation-level gender inequality was associated with more male-dominated Google image search results for the keyword“person”, revealing a link between societal-level disparities and algorithmic output. 2/4
Next, in a series of experiments (n=395 participants), we found that exposure to the gender biased patterns in algorithmic outputs leads people to think and act in ways that reinforce societal inequality, suggesting a cycle of bias propagation between society, AI, and users. 3/4
The Chaos Machine is a must-read if you’re on social media, watch youtube videos, or simply care about society’s future.
@Max_Fisher
comprehensively explains the dangerous global consequences of widely used engagement-maximizing unsupervised algorithms.
Rising start alert in social and behavioral science!
@nyuniversity
PhD candidate
@dgoldwert
investigates how the behavioral sciences can inform the
#climatecrisis
response. Stay tuned for more of her excellent work coming soon!
What is the best term to use to refer to the climate crisis in your country?? It was a pleasure to present this work at the
#SPSP2023
Sustainability preconference, and thank you to everyone who came by and offered great feedback!
To query interventions' efficacy on each outcome within subsamples of interest varying along demographics such as nationality, political ideology, age, gender, education, or income level, you can explore the data using this webtool:
4/7
There are 10 more days until the deadline to submit an intervention and join our new megastudy on climate advocacy!
Submit your idea now using the link below 👇
Join our Climate Advocacy Challenge [] a new megastudy of behavioral interventions targeting collective climate action, led with
@dgoldwert
and
@smconstantino
.
Become a collaborator by submitting an intervention idea that is selected for testing!
1/ n
Finally the high baseline levels of belief (86%) and policy support (72%) reveal global consensus on enacting systemic mitigation. We provide critical information to practitioners deploying interventions, streamlining the behavioral sciences’ response to the climate crisis.
6/7
These findings call for an integrative model of ethical AI that includes human psychological processes to illuminate the formation, operation, and mitigation of algorithmic bias. 4/4
Correcting misperceptions about opposing partisans’ views using a prediction-then-feedback intervention reduced partisan animosity and support for political violence.
Importantly, this intervention was the best of 25 strategies tested in the Strengthening Democracy Challenge.
🎉Amazing news!🎉 Our team came in FIRST PLACE in lowering anti-democratic attitudes in a massive online experiment
@Stanford
, the✨✨Strengthening Democracy Challenge✨✨. We ALSO significantly reduced partisan animosity and support for political violence in the US. 👇🧵1/8.
These findings have significant implications for belief change interventions aimed at increasing pro-climate behaviors or preventative health measures such as vaccination behaviors.
If you’re in Chicago at
#APS2022
please stop by my symposium talk on the formation of collective beliefs [on Friday at 11:30am (Michigan 2)] and/or my talk on the effects of prediction errors on belief change [on Sunday at 9am (Grand Hall L)]! Looking forward!
We find that influential AI orgs are more interdisciplinary, more hierarchical, more gender diverse, and less clustered. We also find that despite the value diversity adds to AI orgs, the individuals contributing to the increased diversity are marginalized in the field.
The economic cost of climate change, a new
@Nature
paper shows “the world economy is committed to an income reduction of 19% within the next 26 years”. This is 6 times more than the cost of mitigation.
What's the economic cost of climate change? Here's the open-access link to our recent
@Nature
paper w/
@KotzMaximilian
@ALevermann
and - finally - my own short summary below:
Social media info sharing was increased most by doom and gloom messaging about climate consequences.
However, no intervention increased tree planting efforts; several even reduced it.
The effects of each intervention differed depending on preexisting climate beliefs.
3/7
Climate ManyLabs MegaStudy Updates:
1. We sent all collaborators instructions on how to submit the data.
2. New deadline for submitting: December 15, 2022.
Fascinating talk on Shared Reality in Interpersonal Relationships by Maya Rossignac-Milon at our Emerging Scholars Of Psych Science grad student series
@PsychPrinceton
Which sources are effective at increasing COVID-19 knowledge and vaccination intentions?
In 2 experiments (N=2936 US census matched) published today () a generic group was the most effective source, irrespective of participants' political affiliation
1/5
Looking forward to sharing my work on collective cognition @ RLDM this June in an interdisciplinary workshop bridging AI and Psychology, alongside
@natashajaques
(Google),
@arossotto
(McGill), and
Raphael Koester (Deepmind)
Thanks
@JWL_Park
for a great talk on beneficiaries’ attitudes toward allies in social movements today in our Emerging Scholars in PsychScience grad series!
Attending
#CogSci2021
?
Stop by my poster (1-H-210) today (Tuesday 7/27) at 11:20am EST to chat about the role of conversations on knowledge acquisition and belief change
and tomorrow (Wednesday 7/28) at 11:20am EST at poster (2-C-81) to explore the effect of belief on behavior