šØ NSF is already quietly eliminating the SBE Directorate, despite Congressā mandate that NSF support the behavioral & social sciences.
Steps to counter this are in motion.
If you
- have an SBE proposal under review
- serve on an SBE grant panel
You can help! Fill out this form: shorturl.at/xuKw2
Posts by Jon Freeman
Itās time yall! Iām excited to co-organize a symposium with @freemanjb.bsky.social at @spspnews.bsky.social this week!! Come by Friday morning (8am, room 450B) to see some amazing talks by phenomenal researchers! @xallysie.bsky.social @chujunlin.bsky.social @whatsinertia.bsky.social #SPSP2026
Fig. 1. a. Visual and auditory regions of interest (ROIs). b. Responses in a combination of visual (e.g., early dorsal visual stream; Fig. 1a, middle panel) and auditory regions were used to predict responses in the rest of the brain using MVPN. c. In order to identify brain regions that combine responses from auditory and visual regions, we identified voxels where predictions generated using the combined patterns from auditory regions and one set of visual regions jointly (as shown in Fig. 1b) are significantly more accurate than predictions generated using only auditory regions or only that set of visual regions.
Iām excited to share my 1st first-authored paper, āDistinct portions of superior temporal sulcus combine auditory representations with different visual streamsā (with @mtfang.bsky.social and @steanze.bsky.social ), now out in The Journal of Neuroscience!
www.jneurosci.org/content/earl...
Refusing to release the requested data on how these questions performed undermines the Census Bureauās scientific integrity and prevents accountability when LGBTQ+ communities are left invisible. (4/4)
Congress allocated $10 million, the Census Bureau tested nearly half a million households, and now the results are being unlawfully suppressed. (3/4)
Policymakers, researchers, and multiple federal agencies requested this testing to help enforce civil rights and better understand and address disparities in health, education, employment, and other areas affecting LGBTQ+ Americans. (2/4)
Democracy Forward & I filed a lawsuit against the U.S. Census Bureau, seeking the release of data from its testing of sexual orientation & gender identity questions in the nation's most important annual demographic survey, key to upholding LGBTQ+ rights.
democracyforward.org/updates/sogi...
(1/4)
The results open a path for new interventions that donāt just target stereotypes but also attempt to recalibrate biased visual perception directly, with the hopes of mitigating such high-stakes misjudgments under stress and uncertainty.
(6/6)
While past work has generally assumed such weapon-identification biases involve an accurate perception of the object but then a racially biased impulse that is difficult to control, our findings suggest that part of the problem is a temporary visual distortion as well.
(5/6)
These neural representational shifts predicted subjects' delays in recognizing these tools as tools, rather than weapons, suggesting an initial tendency to perceive them as weapons.
(4/6)
Using neural decoding techniques, we find that when subjects saw a Black manās face before an image of a tool, their brainās object-processing regions shifted toward a weapon-like representation.
(3/6)
Unarmed Black people in the US are 3X more likely than unarmed White people to be shot and killed by police. In many tragic cases, unarmed Black men were holding innocuous objects like a wrench, wallet, or cell phone when fatally shot by an officer.
(2/6)
New findings from my lab in Nature Communications suggest that racial stereotypes can lead the brain's perceptual system to temporarily "see" weapons where they don't exist.
Led by: @dongwonoh.bsky.social
Paper: www.nature.com/articles/s41...
(1/6)
Three @spspnews.bsky.social members will discuss their grant terminations and next steps, followed by Q&A, story sharing, and community discussion.
Moderator: Cynthia L. Pickett, Professor; Past SPSP President
Speakers: @lkfazio.bsky.social, @freemanjb.bsky.social, and @frankikung.bsky.social
The Federation of Associations in Behavioral and Brain Sciences (@fabbs.org) is searching for a short-term technology policy fellow. Great opportunity for a new PhD interested in policy, maybe before a research postdoc or faculty position:
fabbs.org/news/2025/08...
First paper from my lab out @commspsychol.nature.com
www.nature.com/articles/s44271-025-00275-w
Latent factor models are popular for mental representation of people, e.g. warmth & competence
But we show in naturalistic contexts, more complex representations are needed: high-dimensional networks
Congrats!
Paper in @pnas.org in which @d-melnikoff.bsky.social and I provide evidence for model-based effects on automatic evaluation. This was a super fun āadversarialā collaboration with 0 adversariality. It may have been nice to be right, but getting it right is nearly as nice: www.pnas.org/doi/10.1073/...
Curious for any reactions/feedback!
We think it's important to view impressions not so much as drawing on a fixed low-dimensional structure but as emerging in a combinatorial fashion out of the dynamics of a high-dimensional space. This approach may also be valuable for thinking about other dimensional models in social cognition (8/8)
The model can explain growing findings:
āŖļøcross-cultural & individual perceiver variation
āŖļøvariation by targets' race/gender/groups
And makes novel predictions:
āŖļø"proximal" vs. "distal" traits in cascades (competent ā intelligent ā creative)
āŖļøearlier activation of putatively latent dimensions (7/8)
In the model, the structure of trait relationships (e.g., trustworthinessādominance) can change due to targets or context and cultural and individual learning. Top-down factorsālike goals, stereotypes, or attentionāreshape the attractor landscape, influencing which traits become most stable. (6/8)
Here the trustworthiness/warmth dimension isnāt a latent mechanism or have a privileged functional/cognitive statusāitās an emergent pattern from correlated traits. Thatās why it appears in PCA or factor analysis. But we argue that itās only a mere snapshot of a fluid, high-dimensional space (5/8)
How does it work? You encounter another person. Features trigger many trait concepts (e.g., sociable, caring, competent), which activate each other or compete, influenced by top-down goals & higher-order processes. The network settles into a stable neural pattern, resulting in impressions. (4/8)
Instead, using attractor neural networks, we propose a high-dimensional model. In the brain, social impressions would operate as dynamic trajectories in a neural-state space that can be shaped by sensory cues, conceptual associations, and higher-order social cognition.
(3/8)
How do we infer countless traits? Models have treated trait perception like color vision: impressions arise from combinations of, e.g., āredā (trustworthy), āgreenā (dominant), & "blue" (youthful). But unlike color, thereās no evidence for this, and we question the value of latent dimensions (2/8)
In a TiCS paper, @chujunlin.bsky.social & I propose a high-dimensional model of social impressions.
Existing models focus on 2ā4 latent dimensions (e.g. trustworthy/warm), but they often fall apart across different contexts, cultures, & perceivers. We need a paradigm shift.
shorturl.at/7GD1n (1/8)
Want your NIH and NSF program officers and division directors to be fired and turned into political appointees?
Deadline extended: 3 days left! Already 33,000+ public comments
Comments can tank a proposed rule in court.
š£ Oppose the rule with a brief comment: shorturl.at/WKuBj
So thrilled @youngkihong.bsky.social will be starting up at UC Boulder!