Jon Freeman (academic)

Last updated
Jon Freeman
Born
Jonathan B. Freeman
Alma mater New York University
Tufts University
Scientific career
Institutions Columbia University
Dartmouth College
New York University
Doctoral advisor Nalini Ambady

Jonathan B. Freeman is an American psychologist and associate professor of psychology at Columbia University. He is best known for his work on the neuroscience of person perception and social cognition, as well as mouse-tracking methodology in cognitive science. His research focuses on the cognitive and neural mechanisms underlying split-second social judgments and their impact on behaviour.

Contents

Early life and education

Freeman received his BA from New York University in 2007, where he first studied social psychology. [1] He earned his PhD at Tufts University in 2012, where he worked with Nalini Ambady.

Research and career

After his doctorate, Freeman joined the faculty of Dartmouth College as an Assistant Professor. [2] [3] He moved to New York University as an Assistant Professor in 2014, was promoted to Associate Professor in 2018, and moved to Columbia University as an Associate Professor in 2022. [4] [5] He directs the Social Cognitive and Neural Sciences Lab. [6] His research combines behavioural paradigms with computational modelling and human neuroimaging techniques such as functional magnetic resonance imaging. [1]

Freeman investigates how we form social judgments and first impressions. In particular, his work has shown that, because facial cues are often complex and ambiguous, multiple “partial” perceptions must initially compete over fractions of a second. This dynamic competition is argued to be central to the ability to form social judgments. [4] He proposed a theoretical framework known as the "dynamic interactive model" that posits flexible interplay between social cognition and visual perception, and his work has shown that stereotypes and other kinds of social or emotional knowledge can affect visual processing. [7] [8] An example is how stereotypes become expectations that impact visual prototypes and create distortions in how faces are perceived. [9] His research has demonstrated that tacit assumptions about social groups, emotions, or personality can all influence the way we visually perceive and internally represent others' faces. [10] [11] [12] [13] These effects are thought to be driven by specific interactions between the fusiform face area, orbitofrontal cortex, and anterior temporal lobe. [7] [14]

Freeman studies several other topics in social neuroscience related to social cognition, emotion, and decision-making. [6] For instance, he has examined mechanisms underlying the acquisition and reversal of unconscious bias, the brain's response to facial expressions or a person's trustworthiness outside conscious awareness, and the impact of split-second judgments on real-world outcomes. [14] [15] [16] [17] [18]

Freeman developed MouseTracker, a software that tracks decision-making in the brain over hundreds of milliseconds by analysing the trajectory of a human subject's response-directed hand movement via a mouse cursor. [19] It allows researchers to assess real-time processing in cognitive tasks. [20] MouseTracker is used by over 3,000 researchers in several different disciplines. [21] Freeman's work has helped establish and popularise the mouse-tracking technique in cognitive science. [22] [23] [24]

Freeman is on the editorial board of Social Cognitive and Affective Neuroscience. [25] He previously served as an Associate Editor of Personality and Social Psychology Bulletin.

Advocacy and academic service

Freeman wrote a commentary for Nature about how biases and non-supportive science, technology, engineering, and math (STEM) environments hinder the careers of LGBTQ people in STEM fields, and yet this group is often left out of diversity initiatives. [26] He identified that LGBTQ people in STEM are less represented than statistically expected, reporting negative workplace experiences, and leaving STEM fields at a high rate. [26] [27] Realising the importance of comprehensive data, he led a collaborative effort with the support of 17 scientific organisations, including the American Association for the Advancement of Science, requesting the National Science Foundation to include sexual orientation and gender identity demographic questions in its U.S. STEM workforce surveys. [28] [29] [30] LGBTQ data from these surveys is critical for researchers and policymakers to be able to understand and address potential disparities and disadvantages of LGBTQ people in U.S. STEM fields. [27] For instance, data from these surveys is necessary for official documentation of underrepresented groups in STEM and potential allocation of federal resources. [31] The National Science Foundation is currently piloting these questions for future surveys. [28] [31]

Awards

2019 LGBTQ Scientist of the Year, National Organization of Gay and Lesbian Scientists and Technical Professionals [29]

2019 Association for Psychological Science Janet T. Spence Award for Transformative Early Career Contributions [32]

2017 Society for Social Neuroscience Early Career Award

2017 National Science Foundation CAREER Award [33]

2016 Innovation Award, Social and Affective Neuroscience Society

2016 Early Career Award, International Social Cognition Network [34]

2016 SAGE Young Scholar Award, Foundation for Personality & Social Psychology

2015 Rising Star Award, Association for Psychological Science [35]

2015 Forbes Magazine's 30 Under 30 [36]

2014 Pacific Standard Magazine's Top 30 Thinkers Under 30 [3]

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References

  1. 1 2 "Spotlight on Social Neuroscience | SPSP". spsp.org. Retrieved 2019-02-14.
  2. ↑ "Neurotree - Jon Freeman". neurotree.org. Retrieved 2019-02-14.
  3. 1 2 Andrews, Avital. "The 30 Top Thinkers Under 30: Jon Freeman, 27, Psychology". Pacific Standard. Retrieved 2019-02-14.
  4. 1 2 "Jonathan B Freeman". as.nyu.edu. Retrieved 2019-02-14.
  5. ↑ "Jon Freeman | Department of Psychology". psychology.columbia.edu. Retrieved 2022-01-04.
  6. 1 2 "Freeman Lab". NYU. Archived from the original on 2020-03-05. Retrieved 2019-02-14.
  7. 1 2 Freeman, Jonathan B.; Johnson, Kerri L. (2016). "More Than Meets the Eye: Split-Second Social Perception". Trends in Cognitive Sciences. 20 (5): 362–374. doi:10.1016/j.tics.2016.03.003. ISSN   1364-6613. PMC   5538856 . PMID   27050834.
  8. ↑ Freeman, Jonathan B.; Ambady, Nalini (2011). "A dynamic interactive theory of person construal". Psychological Review. 118 (2): 247–279. doi:10.1037/a0022327. ISSN   1939-1471. PMID   21355661. S2CID   7101466.
  9. ↑ Brooks, Jeffrey A.; Stolier, Ryan M.; Freeman, Jonathan B. (2018). "Stereotypes Bias Visual Prototypes for Sex and Emotion Categories". Social Cognition. 36 (5): 481–493. doi:10.1521/soco.2018.36.5.481. ISSN   0278-016X. S2CID   29000638.
  10. ↑ Freeman, Jonathan B; Stolier, Ryan M; Brooks, Jeffrey A; Stillerman, Benjamin S (December 2018). "The neural representational geometry of social perception". Current Opinion in Psychology. 24: 83–91. doi:10.1016/j.copsyc.2018.10.003. PMC   6377247 . PMID   30388494.
  11. ↑ Freeman, Jonathan B.; Walker, Mirella; Keller, Matthias D.; Hehman, Eric; Stolier, Ryan M. (2018-09-11). "The conceptual structure of face impressions". Proceedings of the National Academy of Sciences. 115 (37): 9210–9215. Bibcode:2018PNAS..115.9210S. doi: 10.1073/pnas.1807222115 . ISSN   0027-8424. PMC   6140507 . PMID   30139918.
  12. ↑ Barachant, Alexandre; King, Jean-Remi (2017-12-13). "Riemannian Geometry Boosts Representational Similarity Analyses of Dense Neural Time Series". doi: 10.1101/232710 .{{cite journal}}: Cite journal requires |journal= (help)
  13. ↑ "How we judge personality from faces depends on our beliefs about how personality works". ScienceDaily. Retrieved 2019-02-14.
  14. 1 2 Barnett, Benjamin O; Brooks, Jeffrey A; Freeman, Jonathan B (2020-12-03). "Stereotypes bias face perception via orbitofrontal–fusiform cortical interaction". Social Cognitive and Affective Neuroscience. 16 (3): 302–314. doi: 10.1093/scan/nsaa165 . ISSN   1749-5016. PMC   7943359 . PMID   33270131.
  15. ↑ Hehman, Eric; Carpinella, Colleen M.; Johnson, Kerri L.; Leitner, Jordan B.; Freeman, Jonathan B. (September 2014). "Early Processing of Gendered Facial Cues Predicts the Electoral Success of Female Politicians". Social Psychological and Personality Science. 5 (7): 815–824. doi:10.1177/1948550614534701. ISSN   1948-5506. S2CID   7191969.
  16. ↑ Freeman, J. B.; Stolier, R. M.; Ingbretsen, Z. A.; Hehman, E. A. (2014-08-06). "Amygdala Responsivity to High-Level Social Information from Unseen Faces". Journal of Neuroscience. 34 (32): 10573–10581. doi: 10.1523/JNEUROSCI.5063-13.2014 . ISSN   0270-6474. PMC   6802589 . PMID   25100591.
  17. ↑ Lick, David J.; Alter, Adam L.; Freeman, Jonathan B. (2018). "Superior pattern detectors efficiently learn, activate, apply, and update social stereotypes". Journal of Experimental Psychology: General. 147 (2): 209–227. doi: 10.1037/xge0000349 . ISSN   1939-2222. PMID   28726438. S2CID   21350104.
  18. ↑ Chua, Kao-Wei; Freeman, Jonathan B. (2020-11-28). "Facial Stereotype Bias Is Mitigated by Training". Social Psychological and Personality Science. 12 (7): 1335–1344. doi:10.1177/1948550620972550. ISSN   1948-5506. S2CID   229147576.
  19. ↑ "MouseTracker | Jon Freeman". MouseTracker. Retrieved 2019-02-14.
  20. ↑ Freeman, Jonathan B.; Ambady, Nalini (2010). "MouseTracker: Software for studying real-time mental processing using a computer mouse-tracking method". Behavior Research Methods. 42 (1): 226–241. doi: 10.3758/brm.42.1.226 . ISSN   1554-351X. PMID   20160302.
  21. ↑ "User Base". MouseTracker. Retrieved 2019-02-14.
  22. ↑ Faulkenberry, Thomas J.; Witte, Matthias; Hartmann, Matthias (2018-03-20). "Tracking the continuous dynamics of numerical processing: A brief review and editorial" (PDF). doi:10.31234/osf.io/pruz7.{{cite journal}}: Cite journal requires |journal= (help)
  23. ↑ Freeman, Jonathan B.; Dale, Rick (2012-07-18). "Assessing bimodality to detect the presence of a dual cognitive process". Behavior Research Methods. 45 (1): 83–97. doi: 10.3758/s13428-012-0225-x . ISSN   1554-3528. PMID   22806703.
  24. ↑ Freeman, Jonathan B. (2018). "SAGE Journals: Your gateway to world-class journal research". Current Directions in Psychological Science. 27 (5): 315–323. doi:10.1177/0963721417746793. PMC   6301007 . PMID   30581254.
  25. ↑ "Editorial Board | Social Cognitive and Affective Neuroscience | Oxford Academic". academic.oup.com. Retrieved 2019-02-14.
  26. 1 2 Freeman, Jon (July 2018). "LGBTQ scientists are still left out". Nature. 559 (7712): 27–28. Bibcode:2018Natur.559...27F. doi: 10.1038/d41586-018-05587-y . PMID   29968839.
  27. 1 2 Freeman, Jonathan B. (2020). "Measuring and Resolving LGBTQ Disparities in STEM". Policy Insights from the Behavioral and Brain Sciences. 7 (2): 141–148. doi:10.1177/2372732220943232. ISSN   2372-7322. S2CID   222111518.
  28. 1 2 Langin, Katie (2018-11-07). "NSF moves to pilot LGBT questions on national workforce surveys". Science | AAAS. Retrieved 2019-02-15.
  29. 1 2 "2019-02-04: NOGLSTP Recognizes Chan, Morales, and Freeman as LGBTQ+ Educator, Engineer, and Scientist of the Year for 2019, Esposito is Walt Westman Awardee – NOGLSTP" . Retrieved 2019-02-14.
  30. ↑ "AERA, AAAS, and Key Researchers Call on OMB to Require NSF to Include Sexual Orientation and Gender Identity Measures in Surveys". www.aera.net. Retrieved 2020-12-26.
  31. 1 2 Langin, Katie (2020). "LGBTQ researchers say they want to be counted". Science. 370 (6523): 1391. Bibcode:2020Sci...370.1391L. doi:10.1126/science.370.6523.1391. PMID   33335044. S2CID   229317144.
  32. ↑ "APS Awards and Honors". Association for Psychological Science. Retrieved 2019-02-14.
  33. ↑ "NSF Award Search: Award#1654731 - CAREER: Neural Mechanisms of Stereotypic Vision". www.nsf.gov. Retrieved 2019-02-14.
  34. ↑ "About - Jon Freeman". Jon Freeman. Archived from the original on 2020-02-21. Retrieved 2019-02-14.
  35. ↑ "NYU Psychology Awards and Honors". NYU. Archived from the original on 2017-06-19. Retrieved 2019-02-14.
  36. ↑ "Jon Freeman, 28". Forbes. Retrieved 2019-02-14.
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