Lira, Benjamin, Todd Rogers, Daniel G. Goldstein, Lyle Ungar, and Angela L. Duckworth. (Under review). Learning from examples: AI assistance can enhance rather than hinder skill development [Download]
Kumar, Harsh and David M. Rothschild, Daniel G. Goldstein and Jake M. Hofman. (Working paper). Math Education with Large Language Models: Peril or Promise? [Download].
Kreijkes, Pia, Viktor Kewenig, Martina Kuvalja, Mina Lee, Sylvia Vitello, Jake M. Hofman, Abigail Sellen, Sean Rintel, Daniel G. Goldstein, David M. Rothschild, Lev Tankelevitch, & Tim Oates. (Working paper). Effects of Generative AI and Note-Taking on Reading Comprehension and Memory: A Randomised Experiment in Secondary Schools. [Download].
Prabhudesai, Snehal and Daniel G. Goldstein, Jake M. Hofman and David M. Rothschild. (Working paper). A Taxonomy for Understanding and Identifying Uncertainty in AI-Generated Responses.
Lee, Mina, Jake M. Hofman, David M. Rothschild, and Daniel G. Goldstein. (In preparation). Can AI make legalese comprehensible to the public?
Szaszi, Barnabas, Daniel G. Goldstein, Dilip Soman, Susan Michie. (Revise and resubmit). Generalizability of Choice Architecture Interventions. Nature Reviews Psychology.
Cao, Hancheng, Sofia Eleni Spatharioti, Daniel G. Goldstein and Jake M. Hofman. (Revise and resubmit). Comparing Scalable Policies for Putting Monetary Values into Perspective. ACM TOCHI
Spatharioti, Sofia Eleni, David M. Rothschild, Daniel G. Goldstein, and Jake M. Hofman. (2025, in press). Effects of LLM-based Search on Consumer Decision Making: Speed, Accuracy, and Overreliance [Download]. Proceedings of the 2025 ACM Conference on Human Factors in Computing Systems (CHI '25).
Hardy, Matthew D., Sam Zhang, Jessica Hullman, Jake M. Hofman, Daniel G. Goldstein. (2024). Improving out-of-population prediction. The complementary effects of model assistance and judgmental bootstrapping. International Journal of Forecasting. [Download] [DOI]
Spatharioti, Sofia Eleni, Daniel G. Goldstein, Jake M. Hofman (2024). Using open data to automatically generate localized analogies. Proceedings of the 2024 ACM Conference on Human Factors in Computing Systems (CHI '24). [Download][DOI]
Sam Zhang, Patrick Ryan Heck, Michelle Meyer, Christopher F. Chabris, Daniel G. Goldstein, Jake M Hofman. (2023). An illusion of predictability in scientific results: Even experts confuse inferential uncertainty and outcome variability. Proceedings of the National Academy of Sciences, 120(33). [Download] [DOI]
Robalino, Juan D., Fishbane, Alissa, Goldstein, Hershfield, Hal E. (2023). Saving for retirement: A real-world test of whether seeing photos of one's future self encourages contributions. Behavioral Science & Policy, 9(1), 1-9. [Download] [DOI]
Hofman, Jake M., Daniel G. Goldstein and David M. Rothschild. (2023). A sports analogy for understanding different ways to use AI. Harvard Business Review. [Download]
Szaszi, Barnabas, Anthony C. Higney, Aaron B. Charlton, Andrew Gelman, Ignazio Ziano, Balacs Aczel, Daniel G. Goldstein, David S. Yeager, and Elizabeth Tipton. (2022). No reason to expect large and consistent effects of nudge interventions. Proceedings of the National Academy of Sciences, 119(31). [DOI]
Kim, Yea-Seul, Jake M. Hofman, Daniel G. Goldstein. (2022). Putting scientific results in perspective: Improving the communication of standardized effect sizes. Proceedings of the 2022 ACM Conference on Human Factors in Computing Systems (CHI '22). [Download] [DOI]
Nguyen, Huy A, Jake M Hofman, Daniel G Goldstein. (2022). Round numbers can sharpen cognition. Proceedings of the 2022 ACM Conference on Human Factors in Computing Systems (CHI '22). [Download] [DOI]
Xiong, C., Sarvghad, A., Demiralp, C., Hofman, J. M., and Goldstein, D. G. (2022). Investigating perceptual biases in icon arrays. Proceedings of the 2022 ACM Conference on Human Factors in Computing Systems (CHI '22). [Download]. [Honorable Mention: Best Paper Award] [DOI]
Balietti, Stefano, Lise Getoor, Daniel G. Goldstein, Duncan J. Watts. (2021). Reducing opinion polarization: Effects of exposure to similar people with differing political views. Proceedings of the National Academy of Sciences, 118(52). [Download] [DOI] [Supplement]
Lifchits, George, Ashton Anderson, Daniel G. Goldstein, Jake M. Hofman, Duncan J. Watts. (2021). Success stories cause false beliefs about success. Judgment and Decision Making, 16(6), 1439-1463. [Download] [Supplement].
Kaptchuk, Gabriel, Daniel G. Goldstein, Eszter Hargittai, Jake M. Hofman, Elissa M. Redmiles. (2021). How good is good enough? Quantifying the impact of benefits, accuracy, and privacy on willingness to adopt COVID-19 decision aids. Digital Threats: Research and Practice (DTRAP). [DOI]
Pu, Xiaoying, Sean Kross, Jake Hofman, and Daniel G. Goldstein. (2021). Datamations: Animated explanations of data analysis pipelines. Proceedings of the 2021 ACM Conference on Human Factors in Computing Systems (CHI '21), Article 467, 1-14. [Download] [DOI].
Poursabzi-Sangdeh, Forough, Daniel G. Goldstein, Jake M. Hofman, Jennifer Wortman Vaughan, and Hanna Wallach. (2021). Manipulating and measuring model interpretability. Proceedings of the 2021 ACM Conference on Human Factors in Computing Systems (CHI '21), Article 237, 1-52. [Download] [DOI].
Hofman, Jake M., Daniel G. Goldstein, Siddhartha Sen, Forough Poursabzi-Sangdeh, Jennifer Allen, Ling Dong, Brenda Fried, Harpreet Gaur, Adnan Hoq, Emeka Mbazor, Naomi Moreira, Cindy Muso, Etta Rapp, and Roymil Terrero. (2021). Expanding the scope of reproducibility research through data analysis replications. Organizational behavior and human decision processes, 164, 192-202. [Download] [DOI].
Jung, Jongbin, Connor Concannon, Ravi Shroff, Sharad Goel, and Daniel G. Goldstein. (2020). Simple rules to guide expert classifications. Journal of the Royal Statistical Society: Series A, 183(3), 771-800. [Download] [DOI].
Hofman, Jake M., Daniel G. Goldstein, and Jessica Hullman. (2020). How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results. Proceedings of the 2020 ACM Conference on Human Factors in Computing Systems (CHI '20). [Download] [DOI]. [Honorable Mention: Best Paper Award]
Goldstein, Daniel, G., R. Preston McAfee, Siddharth Suri and James R. Wright. (2020). Learning when to stop searching. Management Science, 66(3), 1375-1394. [Download] [DOI].
Riederer, Christopher, Jake M. Hofman and Daniel G. Goldstein. (2018). To put that in perspective: Generating analogies that make numbers easier to understand. Proceedings of the 2018 ACM Conference on Human Factors in Computing Systems (CHI'18). [Download] [DOI].
Goldstein, Daniel G., R. Preston McAfee, Siddharth Suri and James R. Wright. (2017). Learning in the repeated secretary problem. Eighteenth ACM Conference on Electronic Commerce (EC'17). [Download] [DOI].
Barowy, Daniel W., Emery D. Berger, Daniel G. Goldstein and Siddharth Suri. (2017). VoxPL: Programming with the wisdom of the crowd. Proceedings of the 2017 ACM Conference on Human Factors in Computing Systems (CHI '17), 2347-2358. [Download] [DOI].
Schulte-Mecklenbeck, Michael, Joseph G. Johnson, Ulf Böckenholt, Daniel G. Goldstein, J. Edward Russo, Nicolette J. Sullivan, and Martijn C. Willemsen. (2017). Process-tracing methods in decision making: On growing up in the 70s. Current Directions in Psychological Science, 26(5), 442-450. [Download]
Goldstein, Daniel G., Hal E. Hershfield and Shlomo Benartzi. (2016). The illusion of wealth and its reversal. Journal of Marketing Research, 53 (5), 804-813. [Download] [DOI].
Page, Lionel and Daniel G. Goldstein (2016). Subjective beliefs about the income distribution and preferences for redistribution. Social Choice and Welfare, 47(1), 25-61. [Download] [DOI]
Barrio, Pablo J., Daniel G. Goldstein, & Jake M. Hofman. (2016). Improving comprehension of numbers in the news. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). [Download] [DOI]
Goldstein, Daniel G., R. Preston McAfee, & Siddharth Suri. (2015). Improving the effectiveness of time-based display advertising. ACM Transactions on Economics and Computation, 3(2), 1-20. [DOI].
Goldstein, Daniel G., Siddharth Suri, R. Preston McAfee, Matthew Ekstrand-Abueg & Fernando Diaz. (2014). The economic and cognitive costs of annoying display advertisements. Journal of Marketing Research, 51(6), 742-752. [Download] [DOI]. [Finalist: Paul E. Green Award]
Lambrecht, Anja, Avi Goldfarb, Alessandro Bonatti, Anindya Ghose, Daniel G. Goldstein, Randall Lewis, Anita Rao, Navdeep Sahni & Song Yao. (2014). How do firms make money selling digital goods online? Marketing Letters, 25, 331-341. [Download] [DOI].
Goldstein, Daniel G., R. Preston McAfee, & Siddharth Suri. (2014). The wisdom of smaller, smarter crowds. Proceedings of the Fifteenth ACM Conference on Electronic Commerce (EC'14), 471-488. [Download] [DOI].
Goldstein, Daniel G., & David Rothschild. (2014). Lay understanding of probability distributions. Judgment and Decision Making, 9(1), 1-14. [Download]
Goel, Sharad, & Daniel G. Goldstein (2014). Predicting individual behavior with social networks. Marketing Science, 33(1), 82-93. [Download][Appendix]
Goldstein, Daniel G., R. Preston McAfee, & Siddharth Suri. (2013). The cost of annoying ads. Proceedings of the 22nd International World Wide Web Conference (WWW '13), 459-470. [Download]
- Reprinted as an extended abstract form as
Daniel G. Goldstein, R. Preston McAfee, and Siddharth Suri. (2014). The
cost of annoying ads. ACM SIGecom Exchanges, 13(2), 47-52.
Smith, N. Craig, Daniel G. Goldstein, & Eric J. Johnson. (2013). Choice without awareness: Ethical and policy implications of defaults. Journal of Public Policy and Marketing, 32(2), 159-172. [SSRN][Download]
Goldstein, Daniel G., R. Preston McAfee, & Siddharth Suri. (2012). Improving the effectiveness of time-based display advertising. Proceedings of the 13th ACM Conference on Electronic Commerce (EC'12), 639-654. [Download] [Winner: Best Paper Award]
- Reprinted as an extended abstract in the Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI '13), 3007-3011.
Goel, Sharad, Duncan J. Watts, & Daniel G. Goldstein (2012). The structure of online diffusion networks. Proceedings of the 13th ACM Conference on Electronic Commerce (EC'12), 623-638. [Download]
Taleb, Nassim N. & Daniel G. Goldstein. (2012). The problem is beyond psychology: The real world is more random than regression analyses. International Journal of Forecasting, 28(3), 715-716.
Johnson, E.J., Shu, S.B., Dellaert, B.G.C., Fox, C., Goldstein, D.G., Haeubl, G, Larrick, R.P., Payne, J.W., Peters, E., Schkade, D., Wansink, B. & Weber, E.U. (2012). Beyond nudges: Tools of a choice architecture. Marketing Letters, 23(2), 487-504. [Download]
Hershfield, H. E., Goldstein, D. G., Sharpe, W. F., Fox, J., Yeykelis, L., Carstensen, L. L., & Bailenson, J. N. (2011). Increasing saving behavior through age-progressed renderings of the future self. Journal of Marketing Research, 48, S23-S37. [Download]
Dinner, Isaac, Eric J. Johnson, Daniel G. Goldstein, & Kaiya Liu (2011). Partitioning default effects: Why people choose not to choose. Journal of Experimental Psychology: Applied, 17(4), 332-341. [Download]
Goldstein, Daniel G., R. Preston McAfee, & Siddharth Suri. (2011). The effects of exposure time on memory of display advertisements. Proceedings of the 12th ACM Conference on Electronic Commerce (EC'11), 49-58. [Download]
Goldstein, D. G., & Gigerenzer, G. (2011). The beauty of simple models: Themes in recognition heuristic research. Judgment and Decision Making, 6(5), 392-395. [Download]
Pachur, T., Todd, P. M., Gigerenzer, G., Schooler, L. J. & Goldstein, D. G. (2011). The recognition heuristic: A review of theory and tests, Frontiers in Cognitive Science, 2 (article 147), 1-14. [Download]
Gigerenzer, G. & Goldstein, D. G. (2011). The recognition heuristic: A decade of research. Judgment and Decision Making, 6(1), 100-121. [Download]
Suri, S., Goldstein, D. G., & Mason, W. A. (2011). Honesty in an online labor market. Proceedings of the Third Human Computation Workshop. [Download]
Herrmann, Andreas, Daniel G. Goldstein, Rupert Stadler, Jan R. Landwehr, Mark Heitmann , Reto Hofstetter, Frank Huber. (2011). The effect of default options on choice - Evidence from online product configurators. Journal of Retailing and Consumer Services, 18(6), 483 - 491.
Marewski, J. N., Gaissmaier, W., Schooler, L. J., Goldstein, D. G., & Gigerenzer, G. (2010). From recognition to decisions: Extending and testing recognition-based Models for multi-alternative inference. Psychonomic Bulletin and Review, 17(3), 287-309. [Download]
Marewski, J. N., Gaissmaier, W., Schooler, L. J., Goldstein, D. G., & Gigerenzer, G. (2009). Do voters use episodic knowledge to rely on recognition? In N. A. Taatgen & H. van Rijn (Eds.), Proceedings of the Thirty-First Annual Conference of the Cognitive Science Society (pp. 1524 - 1528). Austin, TX: Cognitive Science Society.
Taleb, Nassim N., Daniel G. Goldstein, and Mark W. Spitznagel (2009). The six mistakes executives make in risk management. Harvard Business Review, 87(10), 78-81. [Link][Note]
- Reprinted in Harvard Business Review OnPoint, 2012 (Fall).
Goldstein, D. G. & Gigerenzer, G. (2009). Fast and frugal forecasting. International Journal of Forecasting, 25, 760-772. [Download] [Winner: Outstanding Paper Award]
Goldstein, Daniel G., Eric J. Johnson, Andreas Herrmann, and Mark Heitmann (2008). Nudge your customers toward better choices. Harvard Business Review, 86(12), 99-105. [Download]
- Reprinted in German as
Goldstein, Daniel G., Eric J. Johnson, Andreas Herrmann and Mark
Heitmann. (2009). So lenken Sie Ihre Kunden. Harvard Business Manager, January 27. [Link]
Goldstein, Daniel G., Eric J. Johnson and William F. Sharpe (2008). Choosing outcomes versus choosing products: Consumer-focused retirement investment advice. Journal of Consumer Research, 35(3), 440-456. [Download]
Göritz, A. S., Wolff, H.-G. & Goldstein, D. G. (2008). Individual payments as a longer-term incentive in online panels. Behavior Research Methods, 40(4), 1144-1149. [Download]
Gigerenzer, G., Hoffrage, U., & Goldstein, D. G. (2008). Fast and frugal heuristics are plausible models of cognition: Reply to Dougherty, Franco-Watkins, and Thomas (2008). Psychological Review, 115(1), 230-237. [Download]
Gigerenzer, G., Hoffrage, U., & Goldstein, D. G. (2008). Postscript: Fast and frugal heuristics. Psychological Review, 115(1), 238-239. [Download]
Goldstein, D. G. & Taleb, N. N. (2007). We don't quite know what we are talking about when we talk about volatility. Journal of Portfolio Management, 33(4), 84-86. [Download]
Weber, E. U., Johnson, E. J., Milch, K. F., Chang, H., Brodscholl, J. C. & Goldstein, D. G. (2007). Asymmetric discounting in intertemporal choice: A Query Theory account. Psychological Science, 18(6), 516-523. [Download]
Goldstein, D. G. (2007). Getting attention for unrecognized brands. Harvard Business Review, 85(3), 24-28. [Link]
Goldstein, D. G. & Goldstein, D. C. (2006). Profiting from the long tail. Harvard Business Review, 84(6), 24-28. [Link]
Johnson, E. J., Steffel, M. L. & Goldstein, D. G. (2005). Making better decisions: From measuring to constructing preferences. Health Psychology, 24(4), S17-S22. [Download]
Johnson, E. J. & Goldstein, D. G. (2004). Defaults and donation decisions. Transplantation, 78(12), 1713-1716. [Download]
Johnson, E. J. & Goldstein, D. G. (2003). Do defaults save lives? Science, 302, 1338-1339. [Download]
Goldstein, D. G. & Gigerenzer, G. (2002). Models of ecological rationality: The recognition heuristic. Psychological Review, 109, 75-90. [Download]
- Reprinted in Gigerenzer, G., Hertwig, R., & Pachur, T. (Eds.). (2011). Heuristics: The foundations of adaptive behavior. New York: Oxford University Press.
Gigerenzer, G. & Goldstein, D. G. (1996). Reasoning the fast and frugal way: Models of bounded rationality. Psychological Review, 103, 650-669. [Download]
- Reprinted in T.
Connolly, H. R. Arkes & K. Hammond (Eds.). Judgment and decision making:
An interdisciplinary reader (Second edition, 2000). Cambridge: Cambridge
University Press.
- Reprinted in P. E. Earl
(Ed.). (2001). The Legacy of Herbert Simon in Economic Analysis.
Cheltenham: Edward Elgar Publishing.
- Reprinted in W. DeBondt
(Ed.). (2005). The Psychology of World Equity Markets. International
Library of Critical Writings in Economics. Cheltenham: Edward Elgar Publishing.
- Reprinted in K. Lamberts (Ed.). (2008). Cognitive Science 6. Sage: Los Angeles.
- Reprinted in N. Chater
(Ed.). (2009). Judgement and Decision Making. Sage: London.
- Reprinted in Gigerenzer, G., Hertwig, R., & Pachur, T. (Eds.). (2011). Heuristics: The foundations of adaptive behavior. New York: Oxford University Press.
Goldstein, D. G. (1998). Inference from ignorance: The recognition heuristic. In M. A. Gernsbacher & S. J. Derry (Eds.) Proceedings of the Twentieth Annual Conference of the Cognitive Science Society. (pp.407-411). Mahwah, NJ: Erlbaum.
Gigerenzer, G. & Goldstein, D. G. (1996). Mind as computer: The birth of a metaphor. Creativity Research Journal, 9, 131-144. [Download]
Goldstein, D. G. & Gigerenzer, G. (1996). Satisficing inference and the perks of ignorance. In G. Cottrell (Ed.) Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society. (pp.137-141). Mahwah, NJ: Erlbaum.
Gigerenzer G. & Goldstein, D. G. (2024). Herbert Simon on mind as computer. In G. Gigerenzer, R. Viale, & S. Mousavi (Eds.) Elgar Companion to Herbert Simon (pp. 15-31). Edgar Elgar Publishing. [Download]
Goldstein, Daniel G. (2022). Leveling Up Applied Behavioral Economics. In A. Samson (Ed.), The Behavioral Economics Guide (with an Introduction by Dan Goldstein). (pp. VI-XVIII). [Download]
Jung, Jongbin, Connor Concannon, Ravi Shroff, Sharad Goel, Daniel G. Goldstein. (2017). Creating simple rules for complex decisions. Harvard Business Review OnPoint, (Fall), 20-21.
- Originally published on HBR.org, April 19, 2017. [Link]
Goldstein, D. G. & Dinner, I. M. (2013). A fairly mechanical method for policy innovation. In H. C. M. van Trijp (Ed.), Encouraging Sustainable Behavior. (pp. 55-68). New York: Psychology Press. [Link]
Johnson, E. J. & Goldstein, D. G. (2012). Decisions by default. In Eldar Shafir (Ed.), Behavioral Foundations of Policy (pp. 417-427). Princeton, NJ: Princeton University Press
Pachur, T., Todd, P. M., Gigerenzer, G., Schooler, L. J. & Goldstein, D. G. (2012) When is the recognition heuristic an adaptive tool? In Todd, P.M., Gigerenzer, G., and the ABC Research Group, Ecological rationality: Intelligence in the world (pp. 113-143). New York: Oxford University Press.
Bennis, W. M., Katsikopoulos, K. V., Goldstein, D. G., Dieckmann, A., & Berg, N. (2012). Designed to fit minds: Institutions and ecological rationality. In Todd, P.M., Gigerenzer, G., and the ABC Research Group, Ecological rationality: Intelligence in the world (pp. 409-427). New York: Oxford University Press.
Goldstein, D. G. (2011). Book Review. Doing Bayesian Data Analysis: A Tutorial with R and BUGS, John K. Kruschke. Academic Press, Elsevier (2011). Journal of Economic Psychology, 32(5), 724-725.
Goldstein, D. G. (2009). Heuristics. In P. Hedström & P. Bearman (Eds.), The Oxford Handbook of Analytical Sociology. (pp. 140-164). New York: Oxford University Press. [Download]
Goldstein, D. G. (2009). Undue diligence? Business Strategy Review, 20(4), 16-19.
- Reprinted as Goldstein, Daniel G. (2009). Gain an instant insight. Strategy Magazine, 22 (December), 8-11.
Goldstein, Daniel G. (2009). Default lines. Business Strategy Review, 20(3), 25-29.
- Reprinted in Chinese in China Europe International Business School Business Review, 25(5). [Link]
Goldstein, D. G. & Gigerenzer, G. (2008). The recognition heuristic and the less-is-more effect. In Plott C.R. & Smith V.L. (Eds), The Handbook of Experimental Economics Results Volume 1 (pp. 987-992). Amsterdam: Elsevier.
Ortmann, A., Gigerenzer, G., Borges, B. & Goldstein, D. G. (2008) The recognition heuristic: A fast and frugal way to investment choice? In Plott C.R. & Smith V.L. (Eds), The Handbook of Experimental Economics Results Volume 1 (pp. 993-1003). Amsterdam: Elsevier.
Gigerenzer, G., Martignon, L., Hoffrage, U., Rieskamp, J., Czerlinski, J., & Goldstein, D. G. (2008). One-reason decision making. In Plott C.R. & Smith V.L. (Eds), The Handbook of Experimental Economics Results Volume 1 (pp. 1004-1017). Amsterdam: Elsevier.
Johnson, E. J. & Goldstein, D. G. (2008). We should be able to reduce the wait-list to death. The Wall Street Journal, December 24. [Link]
Johnson, E. J. & Goldstein, D. G. (2006). Do defaults save lives? In S. Lichtenstein & P. Slovic (Eds.), The Construction of Preference. (pp. 682-688). New York: Cambridge University Press.
Goldstein, D. G. Arkes, H. R., Beckenkamp, M., Cooter, R., Ellickson, R. C., Engel, C., Guthrie, C. P., Hertwig, R., Kurzenhaeuser, S., & Weber, E. U. (2006). How do heuristics mediate the impact of law on behavior? In G. Gigerenzer and C. Engel (Eds.), Heuristics and the Law. (pp. 439-465). Cambridge: MIT Press. [Download]
Johnson, E. J. & Goldstein, D. G. (2006). The daily defaults that change lives. Financial Times, Aug. 29. [Link]
Goldstein, D. G. & Johnson, E. J. (2006). Do defaults make a difference? Marketing Insight, 5, 14-15.
Goldstein, D. G. (2002). Content management. BEA WebLogic Developer's Journal, 1(8).
Goldstein, D. G., Gigerenzer, G., Hogarth, R. M., Kacelnik, A., Kareev, Y., Klein, G., Martignon, L., Payne, J. W.& Schlag, K. (2001). Why and when do simple heuristics work? In G. Gigerenzer and R. Selten (Eds.), Bounded Rationality: The Adaptive Toolbox. Cambridge: MIT Press.
Goldstein, D. G. & Gigerenzer, G. (1999). The recognition heuristic: How ignorance makes us smart. In Gigerenzer, G., Todd, P. M. & the ABC Research Group, Simple Heuristics That Make Us Smart (pp. 37-58). New York: Oxford University Press.
Gigerenzer, G. & Goldstein, D. G. (1999). Betting on one good reason: The Take The Best heuristic. In Gigerenzer, G., Todd, P. M. & the ABC Research Group, Simple Heuristics That Make Us Smart (pp. 75-95). New York: Oxford University Press.
Borges, B., Goldstein, D. G., Ortmann, A., & Gigerenzer, G. (1999). Can ignorance beat the stock market? In Gigerenzer, G., Todd, P. M. & the ABC Research Group, Simple Heuristics That Make Us Smart (pp. 59-72). New York: Oxford University Press.
Czerlinski, J., Gigerenzer, G., & Goldstein, D. G. (1999). How good are simple heuristics? In Gigerenzer, G., Todd, P. M. & the ABC Research Group, Simple Heuristics That Make Us Smart (pp. 97-118). New York: Oxford University Press. [Download]
Goldstein, D. G., Sharpe, W. F., & Blythe, P. W. (1999). The distribution builder: An interactive tool for assessing investor risk preferences. Proceedings of the Third International Stockholm Seminar on Risk Behavior and Risk Management, Stockholm, Sweden.
Goldstein, D. G., Blythe, P. W. & Sharpe, W. F. (1999). Assessing the risk preferences of individual investors. Proceedings of the International Association for Research in Economic Psychology, XXIVth Annual Colloquium, Belgirate, Italy.
Goldstein, D. G. (1997). Models of bounded rationality for inference. Doctoral thesis, The University of Chicago. Dissertation Abstracts International, 58(01), 435B. (University Microfilms No. AAT 9720040).
Gigerenzer, G., Todd, P. M. & the ABC Research Group, Simple Heuristics That Make Us Smart. New York: Oxford University Press.
Todd, P. M., Gigerenzer, G. & the ABC Research Group, Ecological Rationality: Intelligence in the Real World. New York: Oxford University Press.
Best Paper Award Honorable Mention, ACM Conference on Human Factors in Computing Systems, 2022. Best Paper Award, Workshop on Innovative Ideas in Data Science, The Web Conferece, 2020. Best Paper Award Honorable Mention, ACM Conference on Human Factors in Computing Systems, 2020. Presented to Queen Máxima of the Netherlands and Dutch Finance Minister Jeroen Dijsselbloem (2014). Elected President of the Society for Judgment and Decision Making (2015-2016 Term). Elected to Executive Board, 2013-2016, Society for Judgment and Decision Making. Paul E. Green Award Finalist, Journal of Marketing Research, 2014. New Paths to Purpose Grant (with Hal Hershfield), Center for Decision Research, University of Chicago Booth School, 2013. ($60,000) Best Paper Award, The 13th ACM Conference on Electronic Commerce, 2012. Transformative Consumer Research Grant (with Hal Hershfield), Association for Consumer Research, 2010. Outstanding Paper Award, International Journal of Forecasting, 2009. Outstanding Core Course Teaching Award, London Business School, 2008-2009. London Business School Research Fellow of Marketing, 2007-2008 & 2008-2009. Elected to Executive Board, 2007-2010, Society for Judgment and Decision Making. Best Paper Award, 1999, International Stockholm Seminar on Risk Behavior and Risk Management. (25,000 SEK / $3,500 award.) Otto Hahn Medal, Germany, 1997. Outstanding Student Papers Award, Eighteenth Annual Conference of the Cognitive Science Society, 1996. Morton-Murphy Award for Outstanding Student Activity, The University of Chicago, 1995. (2 chosen annually from entire student body.) Iron Cross Honor Society, The University of Wisconsin–Madison, 1992 (20 chosen annually from over 40,000 students.) Honors Degree, The College of Letters of and Science, The University of Wisconsin–Madison. (Less than 5 percent of class.)
2011 - Academic Advisory Panel. Behavioral Insights Team. In partnership with Cabinet Office. Government of the United Kingdom.
2010 Invited Presentation: Communicating with customers: How to
improve mortgage loan disclosures. United States Department of the
Treasury.
2009 Invited Presentation: How decision science can improve
government policy. Behavioural Economics Conference, Government Economic
Service, HM Treasury, Government of the United Kingdom.
2008 Invited Presentation: Defaults, choice architecture and choice
overload. European Commission Directorate General for Health and
Consumers Conference: How Can Behavioural Economics Improve Policies
Affecting Consumers? European Commission, Brussels, Belgium.
2007 Review Panel: Excellence Initiative by the German Federal and
State Governments to Promote Science and Research at German Universities
2006 Invited presentation. Financial Services Authority, Government of the United Kingdom.
2018- Editorial Board, Decision
2013 Associate Editor, Marketing Science Special Issue on Big Data: Integrating Marketing, Statistics, and Computer Science
2011 - Consulting Editor, Judgment and Decision Making
2010 Associate Editor, Journal of Marketing Research Special Issue on Consumer Financial Decision Making
2008 - Editorial Board, International Journal of Research in Marketing
2009 DeFinetti Award Jury: European Association for Decision Making
2008 Best Competitive Paper Award Committee: Association for Consumer Research Conference
2006 - 2009 Financial Services Forum Awards for Marketing Effectiveness, United Kingdom
2013 - 2106 Co-Founder and co-chair: Annual Workshop on Crowdsourcing
and Online Behavioral Experiments (COBE), with Sid Suri and Winter Mason
2024 Psychology of Technology Conference
2018 Triennial Invitational Choice Symposium 2019
2017 International World Wide Web Conference (WWW 2017), Senior Program Committee
2016 ACM Conference on Economics and Computation (EC'16), Maastricht, Senior Program Committee
2016 Behavioral Decision Research in Management, Toronto
2015 Society for Consumer Psychology Conference, Vienna
2015 ACM Conference on Economics and Computation (EC'15), Portland
2014 Behavioral Decision Research in Management Conference, London
2012 Behavioral Decision Research in Management Conference, San Diego
2009 Society for Consumer Psychology Conference
2008 Association for Consumer Research Conference
2007 Association for Consumer Research Conference
2007 Association for Consumer Research Pre-Conference on Consumers Online
2015 - 2016 President, Society for Judgment and Decision Making
2013 - Scientific Council of NETSPAR (Network for Studies on Pensions, Aging and Retirement), Netherlands
2013 - Advisory Board Member: Know What You Spend Foundation (Netherlands)
2013 - 2016 Executive Board (Elected Member): Society for Judgment and Decision Making
2010 - 2014 Advisory Board Member: Allianz Global Investors
2007 - 2010 Executive Board (Elected Member): Society for Judgment and Decision Making
2007 - Newsletter Editor: Society for Judgment and Decision Making
2007 Academic Member: Behavioral Finance Forum
2006 - 2008 Advisory Board: Centre for Economic Learning and Social
Evolution (ELSE) of the Economic and Social Research Council (ESRC),
United Kingdom
2000- Team Scientist: Behavior Change for Good Initiative. Wharton.
2014 Review Panel: Tilburg University Institute for Behavioral Economics Research (TIBER).
2012 - Fellow: Center for Measurable Marketing. New York University.
2012 - 2013 Fellow: Applied Statistics Center. Columbia University.
2009 Faculty Mentor Program - worked with LBS's Digital Engagement Team on internet marketing
2007 - 2008 Co-director (with Lionel Page): Economics of Behaviour
and Decision Making Seminar Series. Collaboration between Westminster
Business School and London Business School
2006 - 2008 Ph.D. Committee: London Business School
2006 - 2008 Examinations Board: London Business School
2005 - 2007 Faculty Sponsor: London Business School Acting Club
Outstanding Core Course Teaching Award, London Business School, 2008-2009.
Digital Marketing and Electronic Commerce. Wharton. 2017-2019.
Internet Marketing (Elective). London Business School. 2008-2009.
Marketing Strategy (MBA Core). London Business School. 2005-2009
Marketing Strategy (Executive MBA). London Business School. 2005-2009
Judgment and Decision Making (PhD). London Business School. 2006-2009
Online Advertising (Executive Education). London Business School (sessions). 2006-2009
Neural Networks I & II. University of Chicago. 1995. Teaching Assistant.
Introduction to Behavioral Research. The University of Chicago. 1993-1994. Teaching Assistant.
Choice Architecture. Columbia University GSB. 2017-2025. Guest lecturer.
Internet Advertising. University of Michigan Ross School of Business. 2017-2018. Guest lecturer.
Ph.D. Seminar. Yale University School of Management. 2016-2018. Guest lecturer.
Experimentation in Business. Yale University School of Management. 2018. Guest lecturer.
Judgment and Decision Making. Yale School of Management. 2016-2017. Guest lecturer.
Innovation in the Connected World. Columbia University GSB. 2016. Guest lecturer.
Dealing with Data. NYU Stern School of Business. 2015. Guest lecturer.
Marketing Research. NYU Stern School of Business. 2014. Guest lecturer.
Marketing Research. The Wharton School of the University of Pennsylvania. Guest lecturer.
Product Management Insights. Cornell University Johnson Graduate School of Management. 2014. Guest lecturer.
Strategic Brand Management. Cornell University Johnson Graduate School of Management. 2014. Guest lecturer.
Marketing Analytics. Indiana University Kelley School of Business. 2013. Guest lecturer.
Customer Insights. NYU Stern School of Business. 2012-2013. Guest lecturer.
Marketing Research. Columbia University GSB. 2012. Guest lecturer.
Customers and Markets. Columbia University GSB. 2012. Guest lecturer.
Advertising Management. Columbia University GSB. 2006. Guest lecturer.
Managing Brand Identity and Experience. Columbia University GSB. 2004. Guest lecturer.
Customers and Markets. Columbia University GSB. 2003-2004. Guest lecturer.
Leadership Core. Columbia University GSB. 2003-2004. Guest lecturer.
Power and Influence. Columbia University GSB. 2003-2004. Guest lecturer.
Groups and Teams. Columbia University GSB. 2003-2004. Guest lecturer.
Data Science Summer School, Microsoft Research New York City, 2016-2024.
Mathematics, Computer Science, French. 1992. Volunteer Community Tutor.
Ph.D.: Yvetta Simonyan
Ph.D. External Examiner: Mercè Roca
Research Interns: Mirza Ahmed, Jennifer Allen, Mohammed Alsobay,
Konstanze Albrecht, Dan Barowy, Beatrice Belizaire, David Bourgin,
William Cai, Isaac Dinner, Ling Dong, Wendy Garrido, Pablo Javier Barrio
González, Matt Hardy, Kelsey Heinze, Peggy Hu, Jared Katzman, Yea-Seul
Kim, Sean Kross, Harsh Kumar, Huy Nguyen, Snehal Prabhudesai, Elliot
Pickens, Xiaoying Pu, Chris Riederer, Jospeh Risi, Abhraneel Sarma,
Sophie Spatharioti, Jenny Wang, Besir Wrayet, Sam Zhang.
Postdocs: Ashton Anderson, Serina Chang, Mina Lee, Forough Poursabzi-Sangdeh, Sophie Spatharioti, Chicheng Zhang.
ABC World News Tonight (2010)
CBS News (2012)
ESPN (2006)
Financial Times (2006, 2009a, 2009b)
Forbes (2009)
International Herald Tribune (2010)
Los Angeles Times (2008)
New York Times (2005, 2009, 2010, 2012)
New York Times Freakonomics Blog (2007, 2008)
Psychology Today (2007, 2008)
San Francisco Chronicle (2010)
Science News (1999)
TED Radio Hour (2017)
Time Magazine (2003, 2007, 2012)
Today Show (NBC) (2011)
USA Today (2018)
Wall Street Journal (2011, 2012, 2017)
Washington Post (2008)
Wired (2011, 2012)
Yahoo (2012, 2017)
Bloomberg (2001, 2008)
Bloomberg Markets (2008)
Exame - Brazil (2007)
The Globe and Mail (2009)
Haaretz - Israel (2007)
Institutional Investor (2010)
Les Affaires - Canada (2012)
Malcolm Gladwell's Web log (2006)
Marketwatch (2012)
Montreal Gazette (2010)
Science Daily (2008)
French
German
Spanish
Professor Preston McAfee, Google / Caltech Professor Duncan Watts, University of Pennsylvania Professor Eric J. Johnson, Columbia University Professor William F. Sharpe, Stanford University Professor Elke U. Weber, Princeton University Doctor Susan Dumais, Microsoft Research Professor Yael Grushka-Cockayne, University of Virginia Professor David Pennock, Rutgers University Professor Gerd Gigerenzer, Max Planck Institute