Jordan Suchow

☰

    a large headshot Cognitive science + information systems at Stevens Institute of Technology. Studying human, machine, and collective intelligence. 🧠 🤖 CV

    After an undergraduate degree in computer science at Brandeis (B.S. 2009), I studied cognitive psychology at Harvard (A.M. 2011, Ph.D. 2014), then completed a postdoc and appointment as a research scientist at the University of California, Berkeley.

    Now I am an assistant professor at Stevens Institute of Technology.

    My research program considers how information technology can advance empirical research into human, machine, and collective intelligence, not simply by scaling up traditional experiments but by fundamentally rethinking their structure as sociotechnical systems. I have also pursued scaling experiments along other dimensions, including team size via global data-collection efforts and multiverse analyses, participant-pool size via crowdsourcing, and stimulus-design-space size via generative AI models.

    Get in touch by email.

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  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. Measuring, monitoring, and maintaining memories in a partially observable mind.

  9. Building a social network one choice at a time.

  10. Design from zeroth principles.

  11. Linting science prose and the science of prose linting.

  12. Deciding to remember: memory maintenance as a Markov Decision Process.

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

  14. Rethinking experiment design as algorithm design.

  15. Empirical tests of large-scale collaborative recall.

  16. Uncovering visual priors in spatial memory using serial reproduction.

  17. Evolution in mind: evolutionary dynamics, cognitive processes, and Bayesian inference.

  18. Learning a face space for experiments on human identity.

  19. Capturing human category representations by sampling in deep feature spaces.

  20. Interpersonal coordination of perception and memory in real-time online social interaction.

  21. Adaptive sampling for convex regression.

  22. nbgrader: A tool for creating and grading assignments in the Jupyter Notebook.

  23. Crowdsourcing hypothesis tests: Making transparent how design choices shape research results.

  24. What the Baldwin Effect affects depends on the nature of plasticity.

  25. Experimental evolutionary simulations of learning, memory and life history.

  26. To which world regions does the valence–dominance model of social perception apply?.

  27. Serial reproduction reveals the geometry of visuospatial representations.

  28. A multi-country test of brief reappraisal interventions on emotions during the COVID-19 pandemic.

  29. Memory transmission in small groups and large networks: An empirical study.

  30. Deep models of superficial face judgments.

  31. A global experiment on motivating social distancing during the COVID-19 pandemic.

  32. Pragmatic delegation of work by humans and machines.

  33. The paradox of learning categories from rare examples: a case study of NFTs & The Bored Ape Yacht Club.

  34. In COVID-19 health messaging, loss framing increases anxiety with little-to-no concomitant benefits: experimental evidence from 84 countries.

  35. Learning and enforcing a cultural consensus in online communities.

  36. The experimental evolution of human culture: flexibility, fidelity and environmental instability.

  37. Deep tensor factorization models of first impressions.

  38. Cultural alignment of machine-vision representations.

  39. Beyond playing 20 questions with nature: Integrative experiment design in the social and behavioral sciences.

  40. The Psychological Science Accelerator's COVID-19 rapid-response dataset.

  41. Scaling up behavioural studies of visual memory.

  42. Predicting judgments of food healthiness with deep latent-construct cultural consensus theory.

  43. The design and operation of digital platforms under folk theories of sociotechnical systems.

  44. Exploring public opinion on responsible AI through the lens of cultural consensus theory.

  45. FinMem: A performance-enhanced LLM trading agent with layered memory and character Design.

  46. FinCon: A synthesized LLM multi-agent system with conceptual verbal reinforcement for enhanced financial decision making.

  47. FinMem: A performance-enhanced LLM trading agent with layered memory and character design.

  48. Actively learning a Bayesian matrix fusion model with deep side information.

  49. FinNLP-AgentScen-2024 shared task: financial challenges in large language models.

  50. A reflection on faces seen under mirror reversal.

  51. INVESTORBENCH: A benchmark for financial decision-making tasks with LLM-based agents.

  52. FinNLP-FNP-LLMFinLegal @ COLING 2025 shared task: agent-based single cryptocurrency trading challenge.

  53. The reliability of replications: a study in computational reproductions.

  54. Truth neurons.

  55. Measuring the semantic priming effect across many languages.

  56. Investigating the analytic robustness of the social and behavioural sciences.

  57. Investigating the reproducibility of the social and behavioural sciences.

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    63. separator

  63. Data-driven, photorealistic social face-trait encoding, prediction, and manipulation using deep neural networks (continuation).

  64. Data-driven, photorealistic social face-trait encoding, prediction, and manipulation using deep neural networks.

  65. Face morphing at Mindworks, Chicago Booth.

  66. 1,000 doppelgangers.

  67. You probably have a twin stranger.

  68. Visual quantitative literacy test 0.4.

  69. The silencing illusion at the Carl Bosch Museum.

  70. Silencing the awareness of change.

  71. Dallinger: laboratory automation for the behavioral and social sciences.

  72. Proselint, a linter for prose.

  73. Wallace, a platform for experimental cultural evolution.

  74. The handshake conjecture.

  75. What they ought to teach in school.

  76. Two tests of motivation.

  77. The treachery of sculptures.

  78. Fallin'.

  79. The flame challenge.

  80. Dissertate.

  81. Radiolab, tetrachromacy, and responsible experiments.

  82. Anti-silencing.

  83. Zipf it.

  84. The silencing illusion at The Exploratorium.

  85. Japan.

  86. Inverted eyes illusion.

  87. Clockwalk: a stochastic clock.

  88. Reading list.

  89. Time (Bring it on).

  90. Random walk blocks.

  91. Seeing things: Visual perception research at NYU.

  92. Water.