a large headshot I’m Jordan Suchow, a cognitive scientist whose works sits at the intersection of cognition + information systems. CV

    I got my start in the behavioral sciences in 2003, when, at the age of 15, I worked after school in the lab of Denis Pelli, a visual psychophysicist at NYU who taught me the ropes of laboratory experimentation. I went on to study computer science as an undergraduate at Brandeis University (B.S. ’09) and then psychology as a doctoral student at Harvard University (A.M. ’11, Ph.D. ’14), where I worked with George Alvarez in the Department of Psychology. In 2014, I began a postdoc with Tom Griffiths at the University of California, Berkeley, where I was affiliated with the Institute of Cognitive and Brain Sciences, the Social Science Matrix, the Berkeley Artificial Intelligence Research lab, and the Center for Technology, Society & Policy. In 2016, I was appointed as a research scientist and principal investigator at UC Berkeley, leading a project as part of DARPA’s Next Generation Social Science (NGS2) program. From there, I moved to Stevens, where I have been an Assistant Professor since 2019.

    At Stevens, my research sits at the intersection of the disciplines of cognitive science and information systems. At that intersection one finds a rich set of phenomena that bridge from the cognitive processes of individuals to the sociotechnical systems they participate in. Insights flow in both directions, by revealing the cognitive underpinnings of sociotechnical systems and leveraging information technologies such as crowdsourcing platforms to scale experimental work in cognitive science. I've always found myself drawn to the interfaces between disciplines and look forward to connecting with others interested in information systems, cognitive science, A.I., behavioral experiments, and everything in between.

    Get in touch by email.

    separator

  1. Motion silences awareness of visual change.

  2. A specific policy on authorship.

  3. Variability in the quality of visual working memory.

  4. Learning to detect and combine the features of an object.

  5. Modeling visual working memory with the MemToolbox.

  6. The crowd is self-aware.

  7. Terms of the debate on the format and structure of visual memory.

  8. Design from zeroth principles.

  9. Looking inwards and back: realtime monitoring of visual working memory.

  10. Serial reproduction reveals the geometry of visuospatial representations.

  11. separator

  12. separator

  13. 1,000 doppelgangers.

  14. You probably have a twin stranger.

  15. Visual quantitative literacy test 0.4.

  16. Silencing the awareness of change.

  17. Proselint, a linter for prose.

  18. The handshake conjecture.

  19. What they ought to teach in school.

  20. Two tests of motivation.

  21. The treachery of sculptures.

  22. Fallin'.

  23. The flame challenge.

  24. Dissertate.

  25. Anti-silencing.

  26. Snapshots of Israel.

  27. Zipf it.

  28. Japan.

  29. Inverted eyes illusion.

  30. Clockwalk: a stochastic clock.

  31. Reading list.

  32. Time (Bring it on).

  33. Random walk blocks.

  34. Water.