Jordan Suchow
Assistant Professor
School of Business
Education
- PhD (2014) Harvard University (Psychology)
- MA (2011) Harvard University (Psychology)
- BS (2009) Brandeis University (Computer Science)
Research
Published Works
Reprints are available at http://suchow.io.
1. Suchow, J. W. & Alvarez, G. A. (2011). Motion silences awareness of visual change. Current Biology, 21, 140–143.
2. Suchow, J. W. (2011). NPG’s policy on authorship. Nature, 477, 244. [N.B.: fiction, for now.]
3. Suchow, J. W. & Pelli, D. G. (2012). Learning to detect and combine the features of an object. Proceedings of the National Academy of Sciences, 110(2), 785–790.
4. Fougnie, D., Suchow, J. W., & Alvarez, G. A. (2012). Variability in the quality of visual working memory. Nature Communications, 3(1229), 1–8.
5. Suchow, J. W.*, Brady, T. F.*, Fougnie, D., & Alvarez, G. A. (2013). Modeling visual working memory with the MemToolbox. Journal of Vision, 13(10):9, 1–8.
6. Suchow, J. W., Fougnie, D., Brady, T. F. & Alvarez, G. A. (2014). Terms of the debate on the format and structure of visual memory. Attention, Perception, & Psychophysics, 76(7), 2071–2079.
7. Fan, J. E. & Suchow, J. W. (2014). The crowd is self-aware. Commentary on “Mapping collective behavior in the big-data era.” Behavioral and Brain Sciences, 37(01), 81–82.
8. Suchow, J. W. (2014). Measuring, monitoring, and maintaining memories in a partially observable mind. PhD Thesis, Harvard University. Committee members: Daniel Schacter, Martin Nowak, Patrick Cavanagh, George Alvarez
9. Suchow, J. W. (2015). Building a social network one choice at a time. PLoS ONE, 10(7), e0133463.
10. Suchow, J. W., Pacer, M. D., & Griffiths, T. L. (2016). Design from zeroth principles. Proceedings of the 38th Annual Conference of the Cognitive Science Society.
11. Suchow, J. W. & Griffiths, T. L. (2016). Deciding to remember: memory maintenance as a Markov Decision Process. Proceedings of the 38th Annual Conference of the Cognitive Science Society.
12. Suchow, J. W., Fougnie, D. & Alvarez, G. A. (2016). Looking inwards and back: real-time monitoring of visual working memory. Journal of Experimental Psychology: Learning, Memory, and Cognition.
13. Pacer, M. D. & Suchow, J. W. (2016). Linting science prose and the science of prose linting. Proceedings of the 15th Python in Science Conference.
14. Suchow, J. W. & Griffiths, T. L. (2016). Rethinking experiment design as algorithm design. CrowdML — NIPS 2016 Workshop on Crowdsourcing and Machine Learning.
15. Gates, M., Suchow, J. W., & Griffiths, T. L. (2017). Empirical tests of large-scale collaborative recall. Proceedings of the 39th Annual Conference of the Cognitive Science Society.
16. Langlois, T., Jacoby, N., Suchow, J. W., & Griffiths, T. L. (2017). Uncovering visual priors in spatial memory using serial reproduction. Proceedings of the 39th Annual Conference of the Cognitive Science Society.
17. Suchow, J. W. & Alvarez, G. A. (2017). Silencing the awareness of change. The Oxford Compendium of Visual Illusions. Oxford: Oxford University Press.
18. Suchow, J. W., Bourgin, D. D., & Griffiths, T. L. (2017). Evolution in mind: evolutionary dynamics, cognitive processes, and Bayesian inference. Trends in Cognitive Sciences, 21(7), 522–530.
19. Peterson, J., Aghi, K., Suchow, J. W., Ku, A., & Griffiths, T. L. (2018). Capturing human category representations by sampling in deep feature spaces. Proceedings of the 40th Annual Conference of the Cognitive Science Society.
20. Paxton, A., Morgan, T. J. H., Suchow, J. W., Griffiths, T. L. (2018). Interpersonal coordination of perception and memory in real-time online social interaction. Proceedings of the 40th Annual Conference of the Cognitive Science Society.
21. Suchow, J.W.*, Peterson, J.* & Griffiths, T.L. (2018). Learning a face space for experiments on human identity. Proceedings of the 40th Annual Conference of the Cognitive Science Society.
22. Suchow, J. W. (2018). Haven’t we met before? On doppelgängers and perception. Aeon. https://aeon.co/ideas/havent-we-met-before-on-doppelgangers-and-perception
23. Jupyter et al. (2019). nbgrader: A tool for creating and grading assignments in the Jupyter Notebook. Journal of Open Source Education, 2(11), 32.
24. Langlois, T., Jacoby, N., Suchow, J. W., & Griffiths, T. L. (2019). Orthogonal multi-view three-dimensional object representations in memory revealed by serial reproduction. Proceedings of the 41st Annual Conference of the Cognitive Science Society.
25. Morgan, T. J. H., Suchow, J. W., & Griffiths, T. L. (2020). What the Baldwin Effect affects depends on the nature of plasticity. Cognition, 197, 1–10.
26. Morgan, T. J. H.*, Suchow, J. W.*, & Griffiths, T. L. (2020). Experimental evolutionary simulations of learning, memory and life-history. Philosophical Transactions of the Royal Society B: Biological Sciences, 375(1803), 1–11.
27. Langlois, T., Jacoby, N., Suchow, J. W., & Griffiths, T. L. (2021). Serial reproduction reveals the geometry of visuospatial representations. Proceedings of the National Academy of Sciences, 118(13), e2012938118.
28. Gates, V., Suchow, J. W., & Griffiths, T. L. (2021). Memory transmission in small groups and large networks: An empirical study. Psychonomic Bulletin & Review. https://doi.org/10.3758/s13423-021-02021eus-9.
29. Todorov, A. T., Uddenberg, S. D., Peterson, J. C., Griffiths, T. L., & Suchow, J. W. (2022) Data-driven, photorealistic social face-trait encoding, prediction, and manipulation using deep neural networks (U.S. Patent No. 11,250,245). U.S. Patent and Trademark Office.
30. Suchow, J. W. & Nickerson, J. V. (2022). Pragmatic delegation of work by humans and machines. CHI 2022 Workshop on Trust and Reliance in AI-Human Teams(TRAIT).
31. Peterson, J. C., Uddenberg, S. D., Griffiths, T. L., Todorov, A. T. & Suchow, J. W. (2022). Deep models of superficial face judgments. Proceedings of the National Academy of Sciences, 119(17), e2115228119. doi:10.1073/pnas.2115228119.
32. Suchow, J. W. (2022). Shadow banning, astroturfing, catfishing, and other online conflicts where beliefs about group membership diverge. Commentary on Pietraszewski (2021). Behavioral and Brain Sciences. 45:e122. doi:10.1017/S0140525X21001448
33. Gürkan, N. & Suchow, J. W. (2022). Learning and enforcing a cultural consensus in online communities. CogSci 2022.
34. Suchow, J. W. & Ashrafimoghari, V. (2022). The paradox of learning categories in a market that values rarity: a case study of NFTs & The Bored Ape Yacht Club. CogSci 2022
35. Morgan, T. J. H.*, Suchow, J. W.*, & Griffiths, T.L. (2022). The experimental evolution of human culture: flexibility, fidelity and environmental instability. Proceedings B, 289, 20221614. https://doi.org/10.1098/rspb.2022.1614
36. Yu, Y. & Suchow, J. W. (2022). Deep tensor factorization models of first impressions. SVRHM 2022 workshop at NeurIPS.
37. Gürkan, N. & Suchow, J. W. (2022). Cultural alignment of machine-vision representations. SVRHM 2022 workshop at NeurIPS.
38. Suchow, J. W. (2023). Scaling up behavioral studies of visual memory. Nature Human Behavior.
39. Gürkan, N. & Suchow, J. W. (2023). Predicting judgment of food healthiness with deep latent-construct cultural consensus theory. CogSci 2023.
40. Almaatouq, A., Griffiths, T. L., Suchow, J. W., Whiting, M. E., Evans, J. A., & Watts, D. (in press). Beyond playing 20 questions with nature: integrative experiment design in the social and behavioral sciences. Behavioral and Brain Sciences.
41. Almaatouq, A., Griffiths, T. L., Suchow, J. W., Whiting, M. E., Evans, J., Watts, D. J. (in press). Replies to commentaries on beyond playing 20 questions with nature. Behavioral and Brain Sciences, 1–6. doi:10.1017/ S0140525X23002789
42. Todorov, A. T., Uddenberg, S. D., Peterson, J. C., Griffiths, T. L., & Suchow, J. W. (2023) Data-driven, photorealistic social face-trait encoding, prediction, and manipulation using deep neural networks (U.S. Patent No. 11,727,717; Continuation of U.S. Patent No. 11,250,245). U.S. Patent and Trademark Office.
Published Works Arising from Mass Collaborations
43. Landy, J. F., Jia, M., Ding, I. L., Viganola, D., Tierney, W.,…, Suchow, J. W.,…, Uhlmann, E. L. (2020). Crowdsourcing hypothesis tests: Making transparent how design choices shape research results. Psychological Bulletin, 146(5), 451–479.
44. Almaatouq, A. Becker, J. A., Bernstein, M. S., Botto, R., Bradlow, E., Damer, E., …, Suchow, J. W., … Ming, Y. (2021). Scaling up experimental social, behavioral, and economic science. OSF White Paper. https://doi.org/10.17605/OSF.IO/KNVJS
45. Jones, B. C., DeBruine, L. M., Flake, J. K., Liuzza, M., Antfolk, J., Arinze, N. C., …, Suchow, J. W.,…, Coles, N. A. (2021). To which world regions does the valence–dominance model of social perception apply? Nature Human Behavior, 5, 159–169.
46. Wang, K., Goldenberg, A., Dorison, C. A., Miller, J. K., Uusberg, A., Lerner, J. S., …, Suchow, J. W.,…, Moshontz, H. (2021). A multi-country test of brief reappraisal interventions on emotions during the covid-19 pandemic. Nature Human Behavior, 5, 1089–1110.
47. Dorison, C. A., Lerner, J. S., Heller, B. H., Rothman, A. J., …, Suchow, J. W., …, Coles, N. A. (2022). In COVID-19 health messaging, loss framing increases anxiety without concomitant benefits: Experimental evidence from 84 countries. Affective Science. doi:10.1007/s42761-022-00128-3
48. Legate, N., Ngyuen, T., Weinstein, N., Moller, A., Legault, L., …, Suchow, J. W., …, Primbs, M.A. (2022). A global experiment on motivating social distancing during the COVID-19 pandemic. Proceedings of the National Academy of Sciences, 119(22), e2111091119.
Grants, Contracts & Funds
2021–2023 Corporate support of research from a Fortune 500 financial services company for research on Bayesian data fusion and related techniques ($210,000; PI)
2020 Subcontract on darpa score program via the Center for Open Science for project “Data Enhancement to the darpa score Claims Dataset” ($15,000; PI).
2020 Subcontract on darpa score program via the Center for Open Science for project “Replication of Long et al. (2015)” ($10,000; PI).
2019–2020 Phase II of DARPA cooperative agreement awarded under the Defense Sciences Office for the project “Culture on a chip” as part of the Next Generation Social Science (NGS2) program. Sub-award, with UC Berkeley as prime ($606,000; PI).
2016–2018 Phase I of DARPA cooperative agreement awarded under the Defense Sciences Office, for project “Culture-on-a-chip computing: crowdsourced simulations of culture, group formation, collective identity,” as part of the Next Generation Social Science (NGS2) program ($2,800,00; co-PI).
2014–2016 NSF Postdoctoral Research Fellowship awarded under the Directorate for Social, Behavioral & Economic Sciences, for the project “The dynamics of updating and transmitting individual and collective memories”($172,000; co-PI).
Talks, Presentations, & Posters
Fang, Y., Ortega, J., Gürkan, N., Suchow, J. W., Whitney, D. (2023). Inferential tracking reveals context is more informative than faces in judgments of trustworthiness. Presented as a poster at the Vision Sciences Society conference in St. Pete, FL.
Suchow, J. W. (2023). The design and operation of digital platforms under folk theories of sociotechnical systems. Talk at NEDSI 2023 in Arlington, VA.
Suchow, J. W. (2022). The design and governance of digital platforms under folk theories of sociotechnical systems. Talk at The Eighteenth Annual SIG Cognitive Research Workshop at ICIS 2022 in Copenhagen, Denmark.
Gürkan, N., & Suchow, J. W. (2022). The infinite cultural consensus model. Talk at virtual MathPsych/ICCM 2022.
Buchanan, E.M., Cuccolo, K., Lewis, S., …, Suchow, J. W., …, et al. (2022). Is priming consistent across languages? Preliminary findings from the SPAML: Semantic Priming Across Many Languages. Presented at the Annual Meeting of the Psychonomic Society, Boston, MA.
Gürkan, N. & Suchow, J. W. (2022). A virtual assistant for moderators: enforcing social norms in online communities. Presented at NEDSI 2022 in Newark, NJ.
Ashrafimoghari, V. & Suchow, J. W. (2022). A game-theoretic model of consumer behavior under the Pay-What-You-Want pricing strategy. Presented at NEDSI 2022 in Newark, NJ. *Best paper award in the “Application of theory” category
Yu, Y., Yang, R., Suchow, J. W., & Liu, R. (2022). Deep modular co-attention networks for online product matching. Presented at NEDSI 2022 in Newark, NJ.
Burton, L., Ashrafimoghari, V. & Suchow, J. W. (2022). Transparency in online community moderation: the case of shadowbanning. Presented at NEDSI 2022 in Newark, NJ.
Saad–Lessler, J., Ashrafimoghari, V., & Suchow, J. W. (2022). Can a virtual ‘pet’ take a bite out of the savings shortfall? Presented as a poster at ASSA 2022 Virtual Annual Meeting.
Suchow, J. W., Gürkan, N. & Peterson, J. C. (2021). When synthetic portraits do not preserve privacy. Presented at MathPsych 2021 in a virtual setting.
Gürkan, N. & Suchow, J. W. (2021). Explaining away differences in face matching. Presented at MathPsych 2021 in a virtual setting.
Gürkan, N. & Suchow, J. W. (2021). Causal inference in face identification, matching, and verification. Presented virtually as a poster at the annual Vision Sciences Society conference.
Suchow, J. W. (2020). Closed-loop crowdsourcing and active experiment design. Presented as a talk at the “Optimal experimental design: developments and applications” symposium at MathPsych 2020 in Toronto, Canada.
Suchow, J. W. (2020). Why Bayesian optimal experiment design? Presented as a talk and tutorial at the Scaling Cognitive Science Workshop in Princeton, NJ.
Suchow, J. W. (2020). Dallinger. Presented as a talk and tutorial at the Scaling Cognitive Science Workshop in Princeton, NJ.
Pincus, J. & Suchow, J. W. (2020). Estimating the dimensionality of face space empirically. Presented as a poster at the 42nd Annual Conference of the Cognitive Science Society in Toronto, Canada.
Gürkan, N. & Suchow, J. W. (2020). The Adaptive Glasgow Face Matching Task. Presented as a poster at the 42nd Annual Conference of the Cognitive Science Society in Toronto, Canada.
Pincus, J. & Suchow, J. W. (2020). Estimating the dimensionality of face space empirically. Presented at Neuromatch 2020.
Pincus, J. & Suchow, J. W. (2020). Estimating the dimensionality of face space empirically. Presented as a poster at the annual Vision Sciences Society conference in St. Pete, FL.
Suchow, J. W. & Griffiths, T. L. (2020). Memory maintenance in a partially observable mind: rationally deciding what to maintain. Presented as a talk at the 2020 Context and Episodic Memory Symposium (CEMS) in Philadelphia, PA.
Suchow, J. W. (2020). Dallinger. Presented as a tutorial at the Max Planck Institute for Empirical Aesthetics in Frankfurt, Germany.
Lall, V. H., Suchow, J. W., Malkomes, G., & Griffiths, T. L. (2019).
Automated cognitive modeling with Bayesian active model selection. Presented as a poster at MathPsych 2019 in Montreal, Canada.
Langlois, T., Jacoby, N., Suchow, J. W., & Griffiths, T. L. (2019). Orthogonal multi-view three-dimensional object representations in memory revealed by serial reproduction. Presented as a poster at the Vision Sciences Society conference in St. Pete, FL.
Langlois, T., Jacoby, N., Suchow, J. W., & Griffiths, T. L. (2019). Biases in visual memory represent precision not prototypes. Presented as a poster at the Vision Sciences Society conference in St. Pete, FL.
Lall, V. H., Suchow, J. W., Malkomes, G., & Griffiths, T. L. (2019) Automated cognitive modeling with Bayesian active model selection. Presented as a poster at ICCM 2019 in Montreal, Canada.
Suchow, J. W. & Griffiths, T. L. (2019). Learning to calibrate age estimates. Presented as a poster at the Vision Sciences Society conference in St. Pete, FL.
Suchow, J. W., Morgan, T. J. H., Lall, V. H., Hamrick, J. B., Meylan, S. C., …, & Griffiths, T. L. (2019) Fully automated behavioral experiments on cultural transmission through crowdsourcing. Presented as a talk at SciPy in Austin, TX.
Suchow, J. W., Morgan, T. J. H., Lall, V. H., Hamrick, J. B., Meylan, S. C., , & Griffiths, T. L. (2019) Fully automated behavioral experiments on cultural transmission through crowdsourcing.
Presented as a poster at Collective Intelligence in Pittsburgh, PA.
Suchow, J. W. (2019). Scaling up experimental simulations of culture. Presented as a talk at The Transmission of Songs in Birds, Humans, and Other Animals workshop at Columbia University in New York, NY.
Peterson, J., Aghi, K., Suchow, J.W., Ku, A., & Griffiths, T.L. (2018). Capturing human category representations by sampling in deep feature spaces. Sixth International Conference on Learning Representations (ICLR), workshop track, in Vancouver, Canada.
Suchow, J.W. (2018). Presented at the New Members Symposium of the 13th International Conference of the Learning Sciences (ICLS) in London, England.
Morgan, T.J.H., Suchow, J.W, & Griffiths, T.L. (2018). Experimental gene-culture coevolution of human social learning in a changing environment. The Cultural Evolution Conference in Tempe, AZ.
Suchow, J.W, Lall, Vishal H., Callaway, F., Pacer, M., & Griffiths, T.L. (2018). Towards closed-loop crowdsourcing and human computation. The International Conference on Probabilistic Programming (PROBPROG) in Cambridge, MA.
Suchow, J. W., Peterson, J. C., & Griffiths, T. L. (2018). A learned generative model of faces for experiments on human identity. Presented as a talk at the Vision Sciences Society conference in St. Pete, FL.
Peterson, J. C., Aghi, K., Suchow, J. W., Ku, A., Griffiths, T. L. (2018). Sampling from object and scene representations using deep feature spaces. Presented as a poster at the Vision Sciences Society conference in St. Pete, FL.
Paxton, A., Morgan, T. J. H., Suchow, J. W. & Griffiths, T. L. (2018). Low-level coordination in minimally interactive (online) contexts. Presented as a talk at the Guy Van Orden UConn Workshop on Cognition and Dynamics, XIII, in Storrs, CT.
Paxton, A., Suchow, J. W., Morgan, T. J. H., & Griffiths, T. L. (2018). The virtuous cycle of theory-building: improving theoretical understanding in the (online) lab and in the wild. Presented as a talk at the SPSP Annual Convention in Atlanta, GA.
Suchow, J.W. & Griffiths, T. L. (2018). Culture on a chip computing. Presented at the DARPA NGS2 PI meeting in Arlington, VA.
Suchow, J. W. (2018). Invited talk at Stevens Institute of Technology (Computer Science) in Hoboken, NJ.
Suchow, J. W. (2017). Algorithmic experimentation with Dallinger. Presented as a tutorial at the 2017 Estes Fund Data on the Mind Workshop in Berkeley, CA.
Peterson, J., Abbot, J. Batleday, R., Suchow, J. W. & Griffiths, T. L. (2017). Using large natural image datasets to study cognition. Presented as a poster at the 58th Annual Meeting of the Psychonomic Society in Vancouver, Canada.
Paxton, A., Suchow, J. W., Morgan, T. J. H., & Griffiths, T. L. (2017). Exploring social behavior with Dallinger, an open-source experiment automation tool. Presented as a poster at the 58th Annual Meeting of the Psychonomic Society in Vancouver, Canada.
Suchow, J. W. (2017). Invited talk at Stevens Institute of Technology (Information Systems) in Hoboken, NJ.
McDowell, M., Suchow, J. W., & Haberman, J. (2017). A preference for flipped depictions of self. Presented as a poster at the Vision Sciences Society conference in St. Pete, FL.
Suchow, J. W. (2016). Experiment design, algorithm design, and automation in the behavioral and social sciences. Presented as a talk at the CS Colloquium at Wellesley College in Wellesley, MA.
Suchow, J. W. (2016). Invited talk at Stanford University in Stanford, CA.
Suchow, J. W. (2016). Invited talk at Cornell Tech in New York City, NY.
Suchow, J. W., Fougnie, D., & Alvarez, G.A. (2016). Looking inwards and back: real-time monitoring of visual working memory. Presented as a talk at the 24th Annual Workshop on Object Perception, Attention, and Memory conference in Boston, MA.
Suchow, J. W., Morgan, T. J. H., Hamrick, J., Pacer, M., Meylan, S. C. & Griffiths, T. L. (2016). Wallace: automating cultural evolution experiments through crowdsourcing. Presented as a tutorial at the Proceedings of the 38th Annual Conference of the Cognitive Science Society in Philadelphia, PA.
Suchow, J. W. & Griffiths, T. L. (2016). Deciding to remember: memory maintenance as a Markov Decision Process. Presented as a talk at the Proceedings of the 38th Annual Conference of the Cognitive Science Society in Philadelphia, PA.
Suchow, J. W. & Griffiths, T. L. (2016). Culture-on-a-chip computing. Presented as a talk and poster at the kickoff meeting for DARPA’s Next Generation Social Science program in Arlington, VA.
Suchow, J. W., Pacer, M. D. & Griffiths, T. L. (2016). Design from zeroth principles. Presented as a poster at the Proceedings of the 38th Annual Conference of the Cognitive Science Society in Philadelphia, PA.
Pacer, M. D. & Suchow, J. W. (2016). Proselint: the linting of science prose and the science of linting prose. Presented as a talk at Scientific Computing with Python 2016 in Austin, TX.
Suchow, J. W. (2016). Member of the panel for the session “Extracting knowledge from data: What can we learn from the mind and brain?” at the Data Science Summit for the Moore–Sloan Data Science Environment program.
Suchow, J. W. (2016). Invited talk at Wellesley College in Wellesley, MA.
Suchow, J. W. (2016). Invited talk at Mount Holyoke College in South Hadley, MA.
Suchow, J. W. (2016). Presentation at Proposer’s Day for DARPA’s Next Generation Social Science program in Arlington, VA.
Suchow, J. W., Morgan, T. J. H., Hamrick, J., Pacer, M., Meylan, S. C. & Griffiths, T. L. (2015). Wallace: A platform for simulating cultural evolution in structured populations online. Presented as a talk at the Crowdsourcing and Online Behavioral Experiments workshop at the ACM Conference on Economics and Computation in Portland, OR.
Suchow, J. W. (2015). Invited talk at Cornell University in Ithaca, NY.
Suchow, J. W. (2015). Invited talk at Tufts University in Medford, MA.
Suchow, J. W. (2015). Illusory amputation of the eye; adaptive methods for measuring aftereffect decay; the perception of age. Presented as a talk at the Perception and Action seminar at UC Berkeley.
Suchow, J. W. & Alvarez, G. A. (2014). The more you try to remember, the faster you forget. Load-dependent forgetting and overreaching. Presented as a talk at the Vision Sciences Society conference in St. Petersburg, FL.
Suchow, J. W., Allen, B., Nowak, M. A. & Alvarez, G. A. (2013). Evolutionary dynamics of visual memory. Presented as a poster at the Vision Sciences Society conference in Naples, FL.
Suchow, J. W. (2013). Maintaining memories in a partially observable mind. Presented as a talk at the Visual Attention Seminar at Brigham & Women’s Hospital in Cambridge, MA.
Herman, L., Suchow, J. W., & Alvarez, G. A. (2013). Frequency-based synesthetic associations between letters and colors. Presented as a poster at the Vision Sciences Society conference in Naples, FL.
Fougnie, D., Suchow, J. W., & Alvarez, G. A. (2013). Gradual decay and death by natural causes in visual working memory. Presented as a poster at the Vision Sciences Society conference in Naples, FL.
Alvarez, G. A., Brady, T. F., Fougnie, D. & Suchow, J. W. (2013). Beyond slots vs. resources. Presented as a talk in the symposium The structure of visual working memory at the Vision Sciences Society conference in Naples, FL.
Herman, L., Suchow, J. W., & Alvarez, G. A. (2013). Frequency-based synesthetic associations between letters and colors. Presented as a poster at the Seventeenth International Conference on Cognitive and Neural Systems in Boston, MA.
Brady, T. F., Suchow, J., Fougnie, D. & Alvarez, G. A. (2012). MemToolbox: A MATLAB toolbox for analyzing visual working memory experiments. Presented as a poster the Portland Working Memory Conference, Portland, OR.
Fougnie, D., Suchow, J. W., & Alvarez, G. A. (2012). Gradual decay and death by natural causes in visual working memory. Presented as a poster at the Portland Working Memory Conference, Portland, OR.
Suchow, J. W., Fougnie, D., & Alvarez, G. A. (2012). Visual working metamemory. Presented as a poster at the Vision Sciences Society conference in Naples, FL.
Fougnie, D., Suchow, J. W., & Alvarez, G. A. (2012). The volatility of working memory. Presented as a talk at the Vision Sciences Society conference in Naples, FL.
Suchow, J. W. (2012). Metamemory and evolutionary dynamics in cognitive processes. Presented as a talk at the Cognition, Brain, and Behavior Seminar at Harvard.
Fougnie, D., Suchow, J. W., & Alvarez, G. A. (2011). Variable precision among working memory representations. Presented as a talk at the Object Perception, Attention, & Memory conference in Seatle, WA.
Suchow, J. W. & Alvarez, G. A. (2011). Background motion silences awareness of foreground change. Presented as a poster at SIGGRAPH in Vancouver, Canada. Semifinalist, ACM Student research competition
Suchow, J. W. & Alvarez, G. A. (2011). Silencing awareness of change by background motion. Presented as a poster at the 15th annual meeting of the Association for the Scientific Study of Consciousness in Kyoto, Japan.
Haberman, J., Suchow, J. W., & Alvarez, G. A. (2011). The visual system adapts to mean orientation. Presented as a poster at the Vision Sciences Society conference in Naples, FL.
Suchow, J. W., & Alvarez, G. A. (2011). Which kinds of motion silence awareness of visual change? Presented as a poster at the Vision Sciences Society conference in Naples, FL.
Suchow, J. W., & Alvarez, G. A. (2010). Silent updating: cross-dimensional change suppression. Journal of Vision, 10(7), 299. Presented as a talk at the Vision Sciences Society conference in Naples, FL.
Suchow, J. W., & Pelli, D. G. (2008). Letter learning: feature detection and combination. Journal of Vision, 9(6), 1133. Presented as a poster at the Vision Sciences Society conference in Naples, FL.
Suchow, J. W. (2006). Feature integration during letter learning. Presented as a talk at The Leadership Alliance national symposium in Chantilly, VA.
Suchow, J. W. (2006). Feature integration during letter learning. Presented as a talk at the NYU Summer Undergraduate Research Symposium in New York, NY.
Suchow, J. W., & Pelli, D. G. (2005). Learning to identify letters: Generalization in high- level perceptual learning. Journal of Vision, 5(8), 712. Presented as a poster at the Vision Sciences Society conference in Sarasota, FL.
Visual Demonstrations
1. “Silencing.” http://visionlab.harvard.edu/silencing/.(with George Alvarez) Presented at the Vision Sciences Society’s Demo Night in 2010. 1st prize, Neural Correlate Society’s 2011 Best visual illusion of the year contest
2. “Disembodied eyes and mouth illusion.” visionlab.harvard.edu/upsidedown/. (with Ken Nakayama and Maryam Vaziri-Pashkam) Presented at the Vision Sciences Society’s Demo Night in 2011.
3. “Touching and interpreting hallucinated patterns in dynamic visual noise.”(with Justin Jungé and George Alvarez) Presented at the Vision Sciences Society’s Demo Night in 2012.
4. “Reflections on a true mirror."(with Jason Haberman) Presented at the Vision Sciences Society’s Demo Night in 2013.
5. “SocialGAN." (with Josh Peterson and Stefan Uddenberg)
Presented at the Vision Sciences Society’s Demo Night in 2019.
Outreach, Media Coverage, and Gallery Exhibitions
In 2021, the Mindworks museum in Chicago included a demonstration of the research in Peterson et al. (2022).
Wang et al. (2021) was covered by Vox.com.
Jones et al. (2021) and the PSA were covered by Vox.com.
Suchow, J. W. (2018). Haven’t we met before? On doppelgängers and perception. Aeon. http://bit.ly/twinstrangers
In 2017, the Carl Bosch Museum in Heidelberg included a demonstration of the silencing illusion in a special exhibit on illusions.
Suchow, J. W., and Griffiths, T. L. (2016). Rethinking experiment design as algorithm design. Follow the Crowd. https://humancomputation.com/blog/?p=9374
In 2016, Proselint reached the #1 spot on the front page of Hacker News and was covered by Boing Boing.
In 2015, Suchow (2011) was translated to audio in episode 397 of StarShipSofa.
Suchow & Pelli (2012) was covered in an interview by Medical Xpress.
Suchow & Alvarez (2011) was covered by Scientific American, New Scientist, The Washington Post, Slashdot, Gizmodo, Wired.co.uk and .it, MSNBC, CVC Radio, CBS, Sciences et Avenir, and others. As of early 2016, the official demo page had been seen by 150,000 visitors and the YouTube demos had been played over 2,100,000 times. The Exploratorium, a museum of science, art, and human perception in San Francisco holds a physical installation of silencing in its permanent collection.
Suchow, J. W. (2005). Seeing things: Visual perception research at NYU. Imagine Magazine, March 2005.
Reprints are available at http://suchow.io.
1. Suchow, J. W. & Alvarez, G. A. (2011). Motion silences awareness of visual change. Current Biology, 21, 140–143.
2. Suchow, J. W. (2011). NPG’s policy on authorship. Nature, 477, 244. [N.B.: fiction, for now.]
3. Suchow, J. W. & Pelli, D. G. (2012). Learning to detect and combine the features of an object. Proceedings of the National Academy of Sciences, 110(2), 785–790.
4. Fougnie, D., Suchow, J. W., & Alvarez, G. A. (2012). Variability in the quality of visual working memory. Nature Communications, 3(1229), 1–8.
5. Suchow, J. W.*, Brady, T. F.*, Fougnie, D., & Alvarez, G. A. (2013). Modeling visual working memory with the MemToolbox. Journal of Vision, 13(10):9, 1–8.
6. Suchow, J. W., Fougnie, D., Brady, T. F. & Alvarez, G. A. (2014). Terms of the debate on the format and structure of visual memory. Attention, Perception, & Psychophysics, 76(7), 2071–2079.
7. Fan, J. E. & Suchow, J. W. (2014). The crowd is self-aware. Commentary on “Mapping collective behavior in the big-data era.” Behavioral and Brain Sciences, 37(01), 81–82.
8. Suchow, J. W. (2014). Measuring, monitoring, and maintaining memories in a partially observable mind. PhD Thesis, Harvard University. Committee members: Daniel Schacter, Martin Nowak, Patrick Cavanagh, George Alvarez
9. Suchow, J. W. (2015). Building a social network one choice at a time. PLoS ONE, 10(7), e0133463.
10. Suchow, J. W., Pacer, M. D., & Griffiths, T. L. (2016). Design from zeroth principles. Proceedings of the 38th Annual Conference of the Cognitive Science Society.
11. Suchow, J. W. & Griffiths, T. L. (2016). Deciding to remember: memory maintenance as a Markov Decision Process. Proceedings of the 38th Annual Conference of the Cognitive Science Society.
12. Suchow, J. W., Fougnie, D. & Alvarez, G. A. (2016). Looking inwards and back: real-time monitoring of visual working memory. Journal of Experimental Psychology: Learning, Memory, and Cognition.
13. Pacer, M. D. & Suchow, J. W. (2016). Linting science prose and the science of prose linting. Proceedings of the 15th Python in Science Conference.
14. Suchow, J. W. & Griffiths, T. L. (2016). Rethinking experiment design as algorithm design. CrowdML — NIPS 2016 Workshop on Crowdsourcing and Machine Learning.
15. Gates, M., Suchow, J. W., & Griffiths, T. L. (2017). Empirical tests of large-scale collaborative recall. Proceedings of the 39th Annual Conference of the Cognitive Science Society.
16. Langlois, T., Jacoby, N., Suchow, J. W., & Griffiths, T. L. (2017). Uncovering visual priors in spatial memory using serial reproduction. Proceedings of the 39th Annual Conference of the Cognitive Science Society.
17. Suchow, J. W. & Alvarez, G. A. (2017). Silencing the awareness of change. The Oxford Compendium of Visual Illusions. Oxford: Oxford University Press.
18. Suchow, J. W., Bourgin, D. D., & Griffiths, T. L. (2017). Evolution in mind: evolutionary dynamics, cognitive processes, and Bayesian inference. Trends in Cognitive Sciences, 21(7), 522–530.
19. Peterson, J., Aghi, K., Suchow, J. W., Ku, A., & Griffiths, T. L. (2018). Capturing human category representations by sampling in deep feature spaces. Proceedings of the 40th Annual Conference of the Cognitive Science Society.
20. Paxton, A., Morgan, T. J. H., Suchow, J. W., Griffiths, T. L. (2018). Interpersonal coordination of perception and memory in real-time online social interaction. Proceedings of the 40th Annual Conference of the Cognitive Science Society.
21. Suchow, J.W.*, Peterson, J.* & Griffiths, T.L. (2018). Learning a face space for experiments on human identity. Proceedings of the 40th Annual Conference of the Cognitive Science Society.
22. Suchow, J. W. (2018). Haven’t we met before? On doppelgängers and perception. Aeon. https://aeon.co/ideas/havent-we-met-before-on-doppelgangers-and-perception
23. Jupyter et al. (2019). nbgrader: A tool for creating and grading assignments in the Jupyter Notebook. Journal of Open Source Education, 2(11), 32.
24. Langlois, T., Jacoby, N., Suchow, J. W., & Griffiths, T. L. (2019). Orthogonal multi-view three-dimensional object representations in memory revealed by serial reproduction. Proceedings of the 41st Annual Conference of the Cognitive Science Society.
25. Morgan, T. J. H., Suchow, J. W., & Griffiths, T. L. (2020). What the Baldwin Effect affects depends on the nature of plasticity. Cognition, 197, 1–10.
26. Morgan, T. J. H.*, Suchow, J. W.*, & Griffiths, T. L. (2020). Experimental evolutionary simulations of learning, memory and life-history. Philosophical Transactions of the Royal Society B: Biological Sciences, 375(1803), 1–11.
27. Langlois, T., Jacoby, N., Suchow, J. W., & Griffiths, T. L. (2021). Serial reproduction reveals the geometry of visuospatial representations. Proceedings of the National Academy of Sciences, 118(13), e2012938118.
28. Gates, V., Suchow, J. W., & Griffiths, T. L. (2021). Memory transmission in small groups and large networks: An empirical study. Psychonomic Bulletin & Review. https://doi.org/10.3758/s13423-021-02021eus-9.
29. Todorov, A. T., Uddenberg, S. D., Peterson, J. C., Griffiths, T. L., & Suchow, J. W. (2022) Data-driven, photorealistic social face-trait encoding, prediction, and manipulation using deep neural networks (U.S. Patent No. 11,250,245). U.S. Patent and Trademark Office.
30. Suchow, J. W. & Nickerson, J. V. (2022). Pragmatic delegation of work by humans and machines. CHI 2022 Workshop on Trust and Reliance in AI-Human Teams(TRAIT).
31. Peterson, J. C., Uddenberg, S. D., Griffiths, T. L., Todorov, A. T. & Suchow, J. W. (2022). Deep models of superficial face judgments. Proceedings of the National Academy of Sciences, 119(17), e2115228119. doi:10.1073/pnas.2115228119.
32. Suchow, J. W. (2022). Shadow banning, astroturfing, catfishing, and other online conflicts where beliefs about group membership diverge. Commentary on Pietraszewski (2021). Behavioral and Brain Sciences. 45:e122. doi:10.1017/S0140525X21001448
33. Gürkan, N. & Suchow, J. W. (2022). Learning and enforcing a cultural consensus in online communities. CogSci 2022.
34. Suchow, J. W. & Ashrafimoghari, V. (2022). The paradox of learning categories in a market that values rarity: a case study of NFTs & The Bored Ape Yacht Club. CogSci 2022
35. Morgan, T. J. H.*, Suchow, J. W.*, & Griffiths, T.L. (2022). The experimental evolution of human culture: flexibility, fidelity and environmental instability. Proceedings B, 289, 20221614. https://doi.org/10.1098/rspb.2022.1614
36. Yu, Y. & Suchow, J. W. (2022). Deep tensor factorization models of first impressions. SVRHM 2022 workshop at NeurIPS.
37. Gürkan, N. & Suchow, J. W. (2022). Cultural alignment of machine-vision representations. SVRHM 2022 workshop at NeurIPS.
38. Suchow, J. W. (2023). Scaling up behavioral studies of visual memory. Nature Human Behavior.
39. Gürkan, N. & Suchow, J. W. (2023). Predicting judgment of food healthiness with deep latent-construct cultural consensus theory. CogSci 2023.
40. Almaatouq, A., Griffiths, T. L., Suchow, J. W., Whiting, M. E., Evans, J. A., & Watts, D. (in press). Beyond playing 20 questions with nature: integrative experiment design in the social and behavioral sciences. Behavioral and Brain Sciences.
41. Almaatouq, A., Griffiths, T. L., Suchow, J. W., Whiting, M. E., Evans, J., Watts, D. J. (in press). Replies to commentaries on beyond playing 20 questions with nature. Behavioral and Brain Sciences, 1–6. doi:10.1017/ S0140525X23002789
42. Todorov, A. T., Uddenberg, S. D., Peterson, J. C., Griffiths, T. L., & Suchow, J. W. (2023) Data-driven, photorealistic social face-trait encoding, prediction, and manipulation using deep neural networks (U.S. Patent No. 11,727,717; Continuation of U.S. Patent No. 11,250,245). U.S. Patent and Trademark Office.
Published Works Arising from Mass Collaborations
43. Landy, J. F., Jia, M., Ding, I. L., Viganola, D., Tierney, W.,…, Suchow, J. W.,…, Uhlmann, E. L. (2020). Crowdsourcing hypothesis tests: Making transparent how design choices shape research results. Psychological Bulletin, 146(5), 451–479.
44. Almaatouq, A. Becker, J. A., Bernstein, M. S., Botto, R., Bradlow, E., Damer, E., …, Suchow, J. W., … Ming, Y. (2021). Scaling up experimental social, behavioral, and economic science. OSF White Paper. https://doi.org/10.17605/OSF.IO/KNVJS
45. Jones, B. C., DeBruine, L. M., Flake, J. K., Liuzza, M., Antfolk, J., Arinze, N. C., …, Suchow, J. W.,…, Coles, N. A. (2021). To which world regions does the valence–dominance model of social perception apply? Nature Human Behavior, 5, 159–169.
46. Wang, K., Goldenberg, A., Dorison, C. A., Miller, J. K., Uusberg, A., Lerner, J. S., …, Suchow, J. W.,…, Moshontz, H. (2021). A multi-country test of brief reappraisal interventions on emotions during the covid-19 pandemic. Nature Human Behavior, 5, 1089–1110.
47. Dorison, C. A., Lerner, J. S., Heller, B. H., Rothman, A. J., …, Suchow, J. W., …, Coles, N. A. (2022). In COVID-19 health messaging, loss framing increases anxiety without concomitant benefits: Experimental evidence from 84 countries. Affective Science. doi:10.1007/s42761-022-00128-3
48. Legate, N., Ngyuen, T., Weinstein, N., Moller, A., Legault, L., …, Suchow, J. W., …, Primbs, M.A. (2022). A global experiment on motivating social distancing during the COVID-19 pandemic. Proceedings of the National Academy of Sciences, 119(22), e2111091119.
Grants, Contracts & Funds
2021–2023 Corporate support of research from a Fortune 500 financial services company for research on Bayesian data fusion and related techniques ($210,000; PI)
2020 Subcontract on darpa score program via the Center for Open Science for project “Data Enhancement to the darpa score Claims Dataset” ($15,000; PI).
2020 Subcontract on darpa score program via the Center for Open Science for project “Replication of Long et al. (2015)” ($10,000; PI).
2019–2020 Phase II of DARPA cooperative agreement awarded under the Defense Sciences Office for the project “Culture on a chip” as part of the Next Generation Social Science (NGS2) program. Sub-award, with UC Berkeley as prime ($606,000; PI).
2016–2018 Phase I of DARPA cooperative agreement awarded under the Defense Sciences Office, for project “Culture-on-a-chip computing: crowdsourced simulations of culture, group formation, collective identity,” as part of the Next Generation Social Science (NGS2) program ($2,800,00; co-PI).
2014–2016 NSF Postdoctoral Research Fellowship awarded under the Directorate for Social, Behavioral & Economic Sciences, for the project “The dynamics of updating and transmitting individual and collective memories”($172,000; co-PI).
Talks, Presentations, & Posters
Fang, Y., Ortega, J., Gürkan, N., Suchow, J. W., Whitney, D. (2023). Inferential tracking reveals context is more informative than faces in judgments of trustworthiness. Presented as a poster at the Vision Sciences Society conference in St. Pete, FL.
Suchow, J. W. (2023). The design and operation of digital platforms under folk theories of sociotechnical systems. Talk at NEDSI 2023 in Arlington, VA.
Suchow, J. W. (2022). The design and governance of digital platforms under folk theories of sociotechnical systems. Talk at The Eighteenth Annual SIG Cognitive Research Workshop at ICIS 2022 in Copenhagen, Denmark.
Gürkan, N., & Suchow, J. W. (2022). The infinite cultural consensus model. Talk at virtual MathPsych/ICCM 2022.
Buchanan, E.M., Cuccolo, K., Lewis, S., …, Suchow, J. W., …, et al. (2022). Is priming consistent across languages? Preliminary findings from the SPAML: Semantic Priming Across Many Languages. Presented at the Annual Meeting of the Psychonomic Society, Boston, MA.
Gürkan, N. & Suchow, J. W. (2022). A virtual assistant for moderators: enforcing social norms in online communities. Presented at NEDSI 2022 in Newark, NJ.
Ashrafimoghari, V. & Suchow, J. W. (2022). A game-theoretic model of consumer behavior under the Pay-What-You-Want pricing strategy. Presented at NEDSI 2022 in Newark, NJ. *Best paper award in the “Application of theory” category
Yu, Y., Yang, R., Suchow, J. W., & Liu, R. (2022). Deep modular co-attention networks for online product matching. Presented at NEDSI 2022 in Newark, NJ.
Burton, L., Ashrafimoghari, V. & Suchow, J. W. (2022). Transparency in online community moderation: the case of shadowbanning. Presented at NEDSI 2022 in Newark, NJ.
Saad–Lessler, J., Ashrafimoghari, V., & Suchow, J. W. (2022). Can a virtual ‘pet’ take a bite out of the savings shortfall? Presented as a poster at ASSA 2022 Virtual Annual Meeting.
Suchow, J. W., Gürkan, N. & Peterson, J. C. (2021). When synthetic portraits do not preserve privacy. Presented at MathPsych 2021 in a virtual setting.
Gürkan, N. & Suchow, J. W. (2021). Explaining away differences in face matching. Presented at MathPsych 2021 in a virtual setting.
Gürkan, N. & Suchow, J. W. (2021). Causal inference in face identification, matching, and verification. Presented virtually as a poster at the annual Vision Sciences Society conference.
Suchow, J. W. (2020). Closed-loop crowdsourcing and active experiment design. Presented as a talk at the “Optimal experimental design: developments and applications” symposium at MathPsych 2020 in Toronto, Canada.
Suchow, J. W. (2020). Why Bayesian optimal experiment design? Presented as a talk and tutorial at the Scaling Cognitive Science Workshop in Princeton, NJ.
Suchow, J. W. (2020). Dallinger. Presented as a talk and tutorial at the Scaling Cognitive Science Workshop in Princeton, NJ.
Pincus, J. & Suchow, J. W. (2020). Estimating the dimensionality of face space empirically. Presented as a poster at the 42nd Annual Conference of the Cognitive Science Society in Toronto, Canada.
Gürkan, N. & Suchow, J. W. (2020). The Adaptive Glasgow Face Matching Task. Presented as a poster at the 42nd Annual Conference of the Cognitive Science Society in Toronto, Canada.
Pincus, J. & Suchow, J. W. (2020). Estimating the dimensionality of face space empirically. Presented at Neuromatch 2020.
Pincus, J. & Suchow, J. W. (2020). Estimating the dimensionality of face space empirically. Presented as a poster at the annual Vision Sciences Society conference in St. Pete, FL.
Suchow, J. W. & Griffiths, T. L. (2020). Memory maintenance in a partially observable mind: rationally deciding what to maintain. Presented as a talk at the 2020 Context and Episodic Memory Symposium (CEMS) in Philadelphia, PA.
Suchow, J. W. (2020). Dallinger. Presented as a tutorial at the Max Planck Institute for Empirical Aesthetics in Frankfurt, Germany.
Lall, V. H., Suchow, J. W., Malkomes, G., & Griffiths, T. L. (2019).
Automated cognitive modeling with Bayesian active model selection. Presented as a poster at MathPsych 2019 in Montreal, Canada.
Langlois, T., Jacoby, N., Suchow, J. W., & Griffiths, T. L. (2019). Orthogonal multi-view three-dimensional object representations in memory revealed by serial reproduction. Presented as a poster at the Vision Sciences Society conference in St. Pete, FL.
Langlois, T., Jacoby, N., Suchow, J. W., & Griffiths, T. L. (2019). Biases in visual memory represent precision not prototypes. Presented as a poster at the Vision Sciences Society conference in St. Pete, FL.
Lall, V. H., Suchow, J. W., Malkomes, G., & Griffiths, T. L. (2019) Automated cognitive modeling with Bayesian active model selection. Presented as a poster at ICCM 2019 in Montreal, Canada.
Suchow, J. W. & Griffiths, T. L. (2019). Learning to calibrate age estimates. Presented as a poster at the Vision Sciences Society conference in St. Pete, FL.
Suchow, J. W., Morgan, T. J. H., Lall, V. H., Hamrick, J. B., Meylan, S. C., …, & Griffiths, T. L. (2019) Fully automated behavioral experiments on cultural transmission through crowdsourcing. Presented as a talk at SciPy in Austin, TX.
Suchow, J. W., Morgan, T. J. H., Lall, V. H., Hamrick, J. B., Meylan, S. C., , & Griffiths, T. L. (2019) Fully automated behavioral experiments on cultural transmission through crowdsourcing.
Presented as a poster at Collective Intelligence in Pittsburgh, PA.
Suchow, J. W. (2019). Scaling up experimental simulations of culture. Presented as a talk at The Transmission of Songs in Birds, Humans, and Other Animals workshop at Columbia University in New York, NY.
Peterson, J., Aghi, K., Suchow, J.W., Ku, A., & Griffiths, T.L. (2018). Capturing human category representations by sampling in deep feature spaces. Sixth International Conference on Learning Representations (ICLR), workshop track, in Vancouver, Canada.
Suchow, J.W. (2018). Presented at the New Members Symposium of the 13th International Conference of the Learning Sciences (ICLS) in London, England.
Morgan, T.J.H., Suchow, J.W, & Griffiths, T.L. (2018). Experimental gene-culture coevolution of human social learning in a changing environment. The Cultural Evolution Conference in Tempe, AZ.
Suchow, J.W, Lall, Vishal H., Callaway, F., Pacer, M., & Griffiths, T.L. (2018). Towards closed-loop crowdsourcing and human computation. The International Conference on Probabilistic Programming (PROBPROG) in Cambridge, MA.
Suchow, J. W., Peterson, J. C., & Griffiths, T. L. (2018). A learned generative model of faces for experiments on human identity. Presented as a talk at the Vision Sciences Society conference in St. Pete, FL.
Peterson, J. C., Aghi, K., Suchow, J. W., Ku, A., Griffiths, T. L. (2018). Sampling from object and scene representations using deep feature spaces. Presented as a poster at the Vision Sciences Society conference in St. Pete, FL.
Paxton, A., Morgan, T. J. H., Suchow, J. W. & Griffiths, T. L. (2018). Low-level coordination in minimally interactive (online) contexts. Presented as a talk at the Guy Van Orden UConn Workshop on Cognition and Dynamics, XIII, in Storrs, CT.
Paxton, A., Suchow, J. W., Morgan, T. J. H., & Griffiths, T. L. (2018). The virtuous cycle of theory-building: improving theoretical understanding in the (online) lab and in the wild. Presented as a talk at the SPSP Annual Convention in Atlanta, GA.
Suchow, J.W. & Griffiths, T. L. (2018). Culture on a chip computing. Presented at the DARPA NGS2 PI meeting in Arlington, VA.
Suchow, J. W. (2018). Invited talk at Stevens Institute of Technology (Computer Science) in Hoboken, NJ.
Suchow, J. W. (2017). Algorithmic experimentation with Dallinger. Presented as a tutorial at the 2017 Estes Fund Data on the Mind Workshop in Berkeley, CA.
Peterson, J., Abbot, J. Batleday, R., Suchow, J. W. & Griffiths, T. L. (2017). Using large natural image datasets to study cognition. Presented as a poster at the 58th Annual Meeting of the Psychonomic Society in Vancouver, Canada.
Paxton, A., Suchow, J. W., Morgan, T. J. H., & Griffiths, T. L. (2017). Exploring social behavior with Dallinger, an open-source experiment automation tool. Presented as a poster at the 58th Annual Meeting of the Psychonomic Society in Vancouver, Canada.
Suchow, J. W. (2017). Invited talk at Stevens Institute of Technology (Information Systems) in Hoboken, NJ.
McDowell, M., Suchow, J. W., & Haberman, J. (2017). A preference for flipped depictions of self. Presented as a poster at the Vision Sciences Society conference in St. Pete, FL.
Suchow, J. W. (2016). Experiment design, algorithm design, and automation in the behavioral and social sciences. Presented as a talk at the CS Colloquium at Wellesley College in Wellesley, MA.
Suchow, J. W. (2016). Invited talk at Stanford University in Stanford, CA.
Suchow, J. W. (2016). Invited talk at Cornell Tech in New York City, NY.
Suchow, J. W., Fougnie, D., & Alvarez, G.A. (2016). Looking inwards and back: real-time monitoring of visual working memory. Presented as a talk at the 24th Annual Workshop on Object Perception, Attention, and Memory conference in Boston, MA.
Suchow, J. W., Morgan, T. J. H., Hamrick, J., Pacer, M., Meylan, S. C. & Griffiths, T. L. (2016). Wallace: automating cultural evolution experiments through crowdsourcing. Presented as a tutorial at the Proceedings of the 38th Annual Conference of the Cognitive Science Society in Philadelphia, PA.
Suchow, J. W. & Griffiths, T. L. (2016). Deciding to remember: memory maintenance as a Markov Decision Process. Presented as a talk at the Proceedings of the 38th Annual Conference of the Cognitive Science Society in Philadelphia, PA.
Suchow, J. W. & Griffiths, T. L. (2016). Culture-on-a-chip computing. Presented as a talk and poster at the kickoff meeting for DARPA’s Next Generation Social Science program in Arlington, VA.
Suchow, J. W., Pacer, M. D. & Griffiths, T. L. (2016). Design from zeroth principles. Presented as a poster at the Proceedings of the 38th Annual Conference of the Cognitive Science Society in Philadelphia, PA.
Pacer, M. D. & Suchow, J. W. (2016). Proselint: the linting of science prose and the science of linting prose. Presented as a talk at Scientific Computing with Python 2016 in Austin, TX.
Suchow, J. W. (2016). Member of the panel for the session “Extracting knowledge from data: What can we learn from the mind and brain?” at the Data Science Summit for the Moore–Sloan Data Science Environment program.
Suchow, J. W. (2016). Invited talk at Wellesley College in Wellesley, MA.
Suchow, J. W. (2016). Invited talk at Mount Holyoke College in South Hadley, MA.
Suchow, J. W. (2016). Presentation at Proposer’s Day for DARPA’s Next Generation Social Science program in Arlington, VA.
Suchow, J. W., Morgan, T. J. H., Hamrick, J., Pacer, M., Meylan, S. C. & Griffiths, T. L. (2015). Wallace: A platform for simulating cultural evolution in structured populations online. Presented as a talk at the Crowdsourcing and Online Behavioral Experiments workshop at the ACM Conference on Economics and Computation in Portland, OR.
Suchow, J. W. (2015). Invited talk at Cornell University in Ithaca, NY.
Suchow, J. W. (2015). Invited talk at Tufts University in Medford, MA.
Suchow, J. W. (2015). Illusory amputation of the eye; adaptive methods for measuring aftereffect decay; the perception of age. Presented as a talk at the Perception and Action seminar at UC Berkeley.
Suchow, J. W. & Alvarez, G. A. (2014). The more you try to remember, the faster you forget. Load-dependent forgetting and overreaching. Presented as a talk at the Vision Sciences Society conference in St. Petersburg, FL.
Suchow, J. W., Allen, B., Nowak, M. A. & Alvarez, G. A. (2013). Evolutionary dynamics of visual memory. Presented as a poster at the Vision Sciences Society conference in Naples, FL.
Suchow, J. W. (2013). Maintaining memories in a partially observable mind. Presented as a talk at the Visual Attention Seminar at Brigham & Women’s Hospital in Cambridge, MA.
Herman, L., Suchow, J. W., & Alvarez, G. A. (2013). Frequency-based synesthetic associations between letters and colors. Presented as a poster at the Vision Sciences Society conference in Naples, FL.
Fougnie, D., Suchow, J. W., & Alvarez, G. A. (2013). Gradual decay and death by natural causes in visual working memory. Presented as a poster at the Vision Sciences Society conference in Naples, FL.
Alvarez, G. A., Brady, T. F., Fougnie, D. & Suchow, J. W. (2013). Beyond slots vs. resources. Presented as a talk in the symposium The structure of visual working memory at the Vision Sciences Society conference in Naples, FL.
Herman, L., Suchow, J. W., & Alvarez, G. A. (2013). Frequency-based synesthetic associations between letters and colors. Presented as a poster at the Seventeenth International Conference on Cognitive and Neural Systems in Boston, MA.
Brady, T. F., Suchow, J., Fougnie, D. & Alvarez, G. A. (2012). MemToolbox: A MATLAB toolbox for analyzing visual working memory experiments. Presented as a poster the Portland Working Memory Conference, Portland, OR.
Fougnie, D., Suchow, J. W., & Alvarez, G. A. (2012). Gradual decay and death by natural causes in visual working memory. Presented as a poster at the Portland Working Memory Conference, Portland, OR.
Suchow, J. W., Fougnie, D., & Alvarez, G. A. (2012). Visual working metamemory. Presented as a poster at the Vision Sciences Society conference in Naples, FL.
Fougnie, D., Suchow, J. W., & Alvarez, G. A. (2012). The volatility of working memory. Presented as a talk at the Vision Sciences Society conference in Naples, FL.
Suchow, J. W. (2012). Metamemory and evolutionary dynamics in cognitive processes. Presented as a talk at the Cognition, Brain, and Behavior Seminar at Harvard.
Fougnie, D., Suchow, J. W., & Alvarez, G. A. (2011). Variable precision among working memory representations. Presented as a talk at the Object Perception, Attention, & Memory conference in Seatle, WA.
Suchow, J. W. & Alvarez, G. A. (2011). Background motion silences awareness of foreground change. Presented as a poster at SIGGRAPH in Vancouver, Canada. Semifinalist, ACM Student research competition
Suchow, J. W. & Alvarez, G. A. (2011). Silencing awareness of change by background motion. Presented as a poster at the 15th annual meeting of the Association for the Scientific Study of Consciousness in Kyoto, Japan.
Haberman, J., Suchow, J. W., & Alvarez, G. A. (2011). The visual system adapts to mean orientation. Presented as a poster at the Vision Sciences Society conference in Naples, FL.
Suchow, J. W., & Alvarez, G. A. (2011). Which kinds of motion silence awareness of visual change? Presented as a poster at the Vision Sciences Society conference in Naples, FL.
Suchow, J. W., & Alvarez, G. A. (2010). Silent updating: cross-dimensional change suppression. Journal of Vision, 10(7), 299. Presented as a talk at the Vision Sciences Society conference in Naples, FL.
Suchow, J. W., & Pelli, D. G. (2008). Letter learning: feature detection and combination. Journal of Vision, 9(6), 1133. Presented as a poster at the Vision Sciences Society conference in Naples, FL.
Suchow, J. W. (2006). Feature integration during letter learning. Presented as a talk at The Leadership Alliance national symposium in Chantilly, VA.
Suchow, J. W. (2006). Feature integration during letter learning. Presented as a talk at the NYU Summer Undergraduate Research Symposium in New York, NY.
Suchow, J. W., & Pelli, D. G. (2005). Learning to identify letters: Generalization in high- level perceptual learning. Journal of Vision, 5(8), 712. Presented as a poster at the Vision Sciences Society conference in Sarasota, FL.
Visual Demonstrations
1. “Silencing.” http://visionlab.harvard.edu/silencing/.(with George Alvarez) Presented at the Vision Sciences Society’s Demo Night in 2010. 1st prize, Neural Correlate Society’s 2011 Best visual illusion of the year contest
2. “Disembodied eyes and mouth illusion.” visionlab.harvard.edu/upsidedown/. (with Ken Nakayama and Maryam Vaziri-Pashkam) Presented at the Vision Sciences Society’s Demo Night in 2011.
3. “Touching and interpreting hallucinated patterns in dynamic visual noise.”(with Justin Jungé and George Alvarez) Presented at the Vision Sciences Society’s Demo Night in 2012.
4. “Reflections on a true mirror."(with Jason Haberman) Presented at the Vision Sciences Society’s Demo Night in 2013.
5. “SocialGAN." (with Josh Peterson and Stefan Uddenberg)
Presented at the Vision Sciences Society’s Demo Night in 2019.
Outreach, Media Coverage, and Gallery Exhibitions
In 2021, the Mindworks museum in Chicago included a demonstration of the research in Peterson et al. (2022).
Wang et al. (2021) was covered by Vox.com.
Jones et al. (2021) and the PSA were covered by Vox.com.
Suchow, J. W. (2018). Haven’t we met before? On doppelgängers and perception. Aeon. http://bit.ly/twinstrangers
In 2017, the Carl Bosch Museum in Heidelberg included a demonstration of the silencing illusion in a special exhibit on illusions.
Suchow, J. W., and Griffiths, T. L. (2016). Rethinking experiment design as algorithm design. Follow the Crowd. https://humancomputation.com/blog/?p=9374
In 2016, Proselint reached the #1 spot on the front page of Hacker News and was covered by Boing Boing.
In 2015, Suchow (2011) was translated to audio in episode 397 of StarShipSofa.
Suchow & Pelli (2012) was covered in an interview by Medical Xpress.
Suchow & Alvarez (2011) was covered by Scientific American, New Scientist, The Washington Post, Slashdot, Gizmodo, Wired.co.uk and .it, MSNBC, CVC Radio, CBS, Sciences et Avenir, and others. As of early 2016, the official demo page had been seen by 150,000 visitors and the YouTube demos had been played over 2,100,000 times. The Exploratorium, a museum of science, art, and human perception in San Francisco holds a physical installation of silencing in its permanent collection.
Suchow, J. W. (2005). Seeing things: Visual perception research at NYU. Imagine Magazine, March 2005.
Institutional Service
- Steering Committee of the Stevens Institute for Artificial Intelligence Member
- Committee for Stevens Core Member
- Academic Appeals Committee Member
- Harvest Day Chair
- School of Business Strategic Planning Committee Member
- Graduate Marketing Committee Member
- Ph.D. Program Committee Member
- BI&A Program Committee Member
- Department of Computer Science Search Committee Member
- AI & Cognitive Science Webinar Series Chair
- Marketing Search Committee Member
- Advisor in Summer Scholar Program Member
- 150th Anniversary Academic Symposium Committee Meeting Member
- President's Leadership Council (presentation, not member) Member
- Advisor in Pinnacle Scholar Program Member
Professional Service
- Pushkin Platform Advisory Board Member
- Ad hoc reviewer for various journals Reviewer
- Dissertate, https://github.com/suchow/Dissertate Maintainer
- CogSci Program Committee
- WITS Program Committee
- AMCIS Session Chair
- AOM CTO Co-organizer
- ICIS Associate Editor
- The 11th ACM SIGCHI Symposium on Engineering Interactive Computing Systems Program Committee
Professional Societies
- Academy of Management Member
- Association for Information Systems Member
- INFORMS Member
- American Psychological Association Member
- Association for Computing Machinery Member
- Cognitive Science Society Member
- Vision Sciences Society Member
Patents and Inventions
P1. Todorov, A. T., Uddenberg, S. D., Peterson, J. C., Griffiths, T. L., & Suchow, J. W. (2022) Data-driven, photorealistic social face-trait encoding, prediction, and manipulation using deep neural networks (U.S. Patent No. 11,250,245). U.S. Patent and Trademark Office.
P2.Todorov, A. T., Uddenberg, S. D., Peterson, J. C., Griffiths, T. L., & Suchow, J. W. (2023) Data-driven, photorealistic social face-trait encoding, prediction, and manipulation using deep neural networks (U.S. Patent No. 11,727,717; Continuation of U.S. Patent No. 11,250,245). U.S. Patent and Trademark Office.
1. Dallinger, http://docs.dallinger.io/. Laboratory automation for the behavioral and social sciences; human culture on a chip.
2. MemToolbox, http://memtoolbox.org. A Matlab toolbox for Bayesian modeling of visual working memory.
3. Wallace, http://github.com/suchow/Wallace. A platform for “simulating” cultural evolution in structured populations using crowdsourced experiments with people.
4. proselint, http://github.com/amperser/proselint. A linter for prose.
5. Dissertate, https://github.com/suchow/Dissertate. Beautiful templatesfor a dissertation.
6. nbgrader, https://nbgrader.readthedocs.io. A tool that facilitates creating and grading assignments in the Jupyter notebook. Project led by Jessica Hamrick and Project Jupyter.
7. Autonudger. An iPhone-based commitment device that monitors movement and exercise, nudging the user towards better behavior.
8. LQQK, an Arduino-based wristband that facilitates visual experience sampling.
9. “Antisilencing,” https://vimeo.com/34934039.Invention reported to Harvard’s Office of Technology Development in 2012.
10. “Methods and compositions for determining differences in taste perception.” Invention reported to UC Berkeley’s Office of Intellectual Property and Industry Research Alliances in 2015.
Selected Publications
Conference Proceeding
- Yu, Y.; Li, H.; Chen, Z.; Jiang, Y.; Li, Y.; Zhang, D.; Liu, R.; Suchow, J.; Khashanah, K. (2024). FinMem: A performance-enhanced LLM trading agent with layered memory and character design. ICLR workshop on LLM agent; Proceedings of the AAAI Symposium Series; (1 ed., vol. 3, pp. 595--597).
- Suchow, J. (2023). Cultural alignment of machine-vision representations. SVHRM Workshop at NeurIPS.
- Suchow, J. (2023). Deep tensor factorization models of first impressions. SVRHM 2022 workshop at NeurIPS.
- Suchow, J. (2022). The paradox of learning categories in a market that values rarity: a case study of NFTs & The Bored Ape Yacht Club. CogSci 2022.
Journal Article
- Suchow, J. (2022). The experimental evolution of human culture: flexibility, fidelity and environmental instability. Proceedings B.
- Suchow, J. (2021). Scaling up experimental social, behavioral, and economic science. OSF White Paper (pp. https://doi.org/10.17605/OSF.IO/KNVJS).
- Suchow, J. (2021). A multi-country test of brief reappraisal interventions on emotions during the covid-19 pandemic. Nature Human Behavior (vol. 5, pp. 1089–1110).
- Suchow, J. (2021). Serial reproduction reveals the geometry of visuospatial representations. Proceedings of the National Academy of Sciences (13 ed., vol. 118, pp. e2012938118).
Patent
- Suchow, J. (2023). Data-driven, photorealistic social face-trait encoding, prediction, and manipulation using deep neural networks. U.S. Patent and Trademark Office (U.S. Patent No. 11,727,717; Continuation of U.S. Patent No. 11,250,245 ed.).
Published commentary
- Suchow, J.. Shadow banning, astroturfing, catfishing, and other online conflicts where beliefs about group membership diverge. Behavioral and Brain Sciences.
Courses
BIA 660 Web Mining
MGT458 Computational Models of Thought and Behavior
BIA 668 Management of AI Technologies
MGT458 Computational Models of Thought and Behavior
BIA 668 Management of AI Technologies