The Agentic Economy
David Rothschild, Markus Mobius, Jake Hofman, Eleanor Dillon, Daniel G. Goldstein, Nicole Immorlica, Sonia Jaffe, Brendan Lucier, Aleksandrs Slivkins, Matthew Vogel
May 2025
Dan Goldstein
Senior Principal Research Manager
Papiers de Collaboration
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Effects of LLM-based Search on Decision Making: Speed, Accuracy, and Overreliance
Sofia Eleni Spatharioti, David Rothschild, Daniel G. Goldstein, Jake Hofman
CHI 2025 | April 2025
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Microsoft New Future of Work Report 2024
Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
MSR-TR-2024-56 | December 2024
Publié par Microsoft
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Microsoft New Future of Work Report 2023
Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
MSR-TR-2023-34 | December 2023
Publié par Microsoft
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Early LLM-based Tools for Enterprise Information Workers Likely Provide Meaningful Boosts to Productivity
Alexia Cambon, Brent Hecht, Benjamin Edelman, Donald Ngwe, Sonia Jaffe, Amy Heger, Mihaela Vorvoreanu, Sida Peng, Jake Hofman, Alex Farach, Margarita Bermejo-Cano, Eric Knudsen, James Bono, Hardik Sanghavi, Sofia Spatharioti, David Rothschild, Daniel G. Goldstein, Eirini Kalliamvakou, Peter Cihon, Mert Demirer, Michael Schwarz, Jaime Teevan
MSR-TR-2023-43 | December 2023
Publié par Microsoft
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A Sports Analogy for Understanding Different Ways to Use AI
Jake Hofman, Daniel G. Goldstein, David Rothschild
Harvard Business Review | December 2023
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Math Education with Large Language Models: Peril or Promise?
Harsh Kumar, David Rothschild, Daniel G. Goldstein, Jake Hofman
SSRN Electronic Journal | December 2023
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An illusion of predictability in scientific results: Even experts confuse inferential uncertainty and outcome variability
Sam Zhang, Patrick R. Heck, Michelle N. Meyer, Christopher F. Chabris, Daniel G. Goldstein, Jake M. Hofman
Proceeding of the National Academy of Sciences | August 2023, Vol 120(33)
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Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment
Sofia Eleni Spatharioti, David Rothschild, Daniel G. Goldstein, Jake Hofman
July 2023
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Investigating Perceptual Biases in Icon Arrays
Cindy Xiong, Ali Sarvghad, Daniel G. Goldstein, Jake Hofman, Çağatay Demiralp
CHI 2022 | April 2022
Honorable Mention
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Putting scientific results in perspective: Improving the communication of standardized effect sizes
Yea-Seul Kim, Jake Hofman, Daniel G. Goldstein
CHI 2022 | April 2022
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Round Numbers Can Sharpen Cognition
Huy Anh Nguyen, Jake Hofman, Daniel G. Goldstein
CHI 2022 | April 2022
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Manipulating and Measuring Model Interpretability
Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake Hofman, Jennifer Wortman Vaughan, Hanna Wallach
CHI 2021 | May 2021
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Datamations: Animated Explanations of Data Analysis Pipelines
Xiaoying Pu, Sean Kross, Jake Hofman, Daniel G. Goldstein
April 2021
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How good is good enough for COVID19 apps?
Gabriel Kaptchuk, Daniel G. Goldstein, Eszter Hargittai, Jake Hofman, Elissa M. Redmiles
May 2020
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How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results
Jake Hofman, Daniel G. Goldstein, Jessica Hullman
CHI 2020 | April 2020
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Expanding The Scope Of Reproducibility Research Through Data Analysis Replications
Jake Hofman, Daniel G. Goldstein, Siddhartha Sen, Forough Poursabzi-Sangdeh
The Web Conference Workshop on Innovative Ideas in Data Science (IID) | April 2020
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Learning When to Stop Searching
Daniel G. Goldstein, Siddharth Suri
Management Science | August 2019
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Perspective annotation for numerical representations
Jake Hofman, Miro Dudík, Daniel G. Goldstein
December 2018
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Transaction Analyzer Using Graph-Oriented Data Structures
Abhishek Banerjee, Daniel G. Goldstein, Roberto Arnetoli, Pravin Darbare, Kevin Lai, Sanjay Saraf
July 2018
US Patent Application
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To Put That in Perspective: Generating Analogies that Make Numbers Easier to Understand
Christopher Riederer, Jake Hofman, Daniel G. Goldstein
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems | April 2018
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Learning in the Repeated Secretary Problem
Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James Wright
ACM Economics & Computation 2017 (EC'17) | June 2017
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VoxPL: Programming with the Wisdom of the Crowd
Daniel W. Barowy, Emery D. Berger, Daniel G. Goldstein, Siddharth Suri
Proceedings of CHI 2017 | May 2017
ISBN: 978-1-4503-4655-9/17/05
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The Illusion of Wealth and Its Reversal
Daniel G. Goldstein, Hal E. Hershfield, Shlomo Benartzi
Journal of Marketing Research | October 2016, Vol 53(5): pp. 804-813
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Subjective beliefs about the income distribution and preferences for redistribution
Social Choice and Welfare | September 2016, pp. 25-61
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Improving Comprehension of Numbers in the News
Pablo J. Barrio, Daniel G. Goldstein, Jake Hofman
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems | May 2016
ISBN: 978-1-4503-3362-7
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Improving the Effectiveness of Time-Based Display Advertising
Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri
ACM Transactions on Economics and Computation | April 2015, Vol 3
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The Economic and Cognitive Costs of Annoying Display Advertisements
Daniel G. Goldstein, Siddharth Suri, Preston McAfee, Matthew Ekstrand-Abueg, Fernando Diaz
Journal of Marketing Research | December 2014
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Predicting Individual Behavior with Social Networks
Sharad Goel, Daniel G. Goldstein
January 2014
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The Structure of Online Diffusion Networks
Daniel G. Goldstein, Duncan Watts, Sharad Goel
EC '12 Proceedings of the 13th ACM Conference on Electronic Commerce | June 2012
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Increasing Saving Behavior Through Age-Progressed Renderings of the Future Self
Hal E. Hershfield, Daniel G. Goldstein, William F. Sharpe, Jesse Fox, Leo Yeykelis, Laura L. Carstensen, Jeremy N. Bailenson
Journal of Marketing Research | November 2011, Vol 48: pp. S23-S37
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The Agentic Economy
David Rothschild, Markus Mobius, Jake Hofman, Eleanor Dillon, Daniel G. Goldstein, Nicole Immorlica, Sonia Jaffe, Brendan Lucier, Aleksandrs Slivkins, Matthew Vogel
May 2025
-
Effects of LLM-based Search on Decision Making: Speed, Accuracy, and Overreliance
Sofia Eleni Spatharioti, David Rothschild, Daniel G. Goldstein, Jake Hofman
CHI 2025 | April 2025
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Microsoft New Future of Work Report 2024
Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
MSR-TR-2024-56 | December 2024
Publié par Microsoft
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Microsoft New Future of Work Report 2023
Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
MSR-TR-2023-34 | December 2023
Publié par Microsoft
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Early LLM-based Tools for Enterprise Information Workers Likely Provide Meaningful Boosts to Productivity
Alexia Cambon, Brent Hecht, Benjamin Edelman, Donald Ngwe, Sonia Jaffe, Amy Heger, Mihaela Vorvoreanu, Sida Peng, Jake Hofman, Alex Farach, Margarita Bermejo-Cano, Eric Knudsen, James Bono, Hardik Sanghavi, Sofia Spatharioti, David Rothschild, Daniel G. Goldstein, Eirini Kalliamvakou, Peter Cihon, Mert Demirer, Michael Schwarz, Jaime Teevan
MSR-TR-2023-43 | December 2023
Publié par Microsoft
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A Sports Analogy for Understanding Different Ways to Use AI
Jake Hofman, Daniel G. Goldstein, David Rothschild
Harvard Business Review | December 2023
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Manipulating and Measuring Model Interpretability
Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake Hofman, Jennifer Wortman Vaughan, Hanna Wallach
CHI 2021 | May 2021
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How good is good enough for COVID19 apps?
Gabriel Kaptchuk, Daniel G. Goldstein, Eszter Hargittai, Jake Hofman, Elissa M. Redmiles
May 2020
-
Perspective annotation for numerical representations
Jake Hofman, Miro Dudík, Daniel G. Goldstein
December 2018
-
To Put That in Perspective: Generating Analogies that Make Numbers Easier to Understand
Christopher Riederer, Jake Hofman, Daniel G. Goldstein
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems | April 2018
-
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The Agentic Economy
David Rothschild, Markus Mobius, Jake Hofman, Eleanor Dillon, Daniel G. Goldstein, Nicole Immorlica, Sonia Jaffe, Brendan Lucier, Aleksandrs Slivkins, Matthew Vogel
May 2025
-
Microsoft New Future of Work Report 2024
Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
MSR-TR-2024-56 | December 2024
Publié par Microsoft
-
Microsoft New Future of Work Report 2023
Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
MSR-TR-2023-34 | December 2023
Publié par Microsoft
-
Early LLM-based Tools for Enterprise Information Workers Likely Provide Meaningful Boosts to Productivity
Alexia Cambon, Brent Hecht, Benjamin Edelman, Donald Ngwe, Sonia Jaffe, Amy Heger, Mihaela Vorvoreanu, Sida Peng, Jake Hofman, Alex Farach, Margarita Bermejo-Cano, Eric Knudsen, James Bono, Hardik Sanghavi, Sofia Spatharioti, David Rothschild, Daniel G. Goldstein, Eirini Kalliamvakou, Peter Cihon, Mert Demirer, Michael Schwarz, Jaime Teevan
MSR-TR-2023-43 | December 2023
Publié par Microsoft
-
A Sports Analogy for Understanding Different Ways to Use AI
Jake Hofman, Daniel G. Goldstein, David Rothschild
Harvard Business Review | December 2023
-
Expanding The Scope Of Reproducibility Research Through Data Analysis Replications
Jake Hofman, Daniel G. Goldstein, Siddhartha Sen, Forough Poursabzi-Sangdeh
The Web Conference Workshop on Innovative Ideas in Data Science (IID) | April 2020
-
Learning When to Stop Searching
Daniel G. Goldstein, Siddharth Suri
Management Science | August 2019
-
The Illusion of Wealth and Its Reversal
Daniel G. Goldstein, Hal E. Hershfield, Shlomo Benartzi
Journal of Marketing Research | October 2016, Vol 53(5): pp. 804-813
-
Subjective beliefs about the income distribution and preferences for redistribution
Social Choice and Welfare | September 2016, pp. 25-61
-
Improving the Effectiveness of Time-Based Display Advertising
Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri
ACM Transactions on Economics and Computation | April 2015, Vol 3
-
The Economic and Cognitive Costs of Annoying Display Advertisements
Daniel G. Goldstein, Siddharth Suri, Preston McAfee, Matthew Ekstrand-Abueg, Fernando Diaz
Journal of Marketing Research | December 2014
-
Predicting Individual Behavior with Social Networks
Sharad Goel, Daniel G. Goldstein
January 2014
-
The Structure of Online Diffusion Networks
Daniel G. Goldstein, Duncan Watts, Sharad Goel
EC '12 Proceedings of the 13th ACM Conference on Electronic Commerce | June 2012
-
Increasing Saving Behavior Through Age-Progressed Renderings of the Future Self
Hal E. Hershfield, Daniel G. Goldstein, William F. Sharpe, Jesse Fox, Leo Yeykelis, Laura L. Carstensen, Jeremy N. Bailenson
Journal of Marketing Research | November 2011, Vol 48: pp. S23-S37
-
-
-
Effects of LLM-based Search on Decision Making: Speed, Accuracy, and Overreliance
Sofia Eleni Spatharioti, David Rothschild, Daniel G. Goldstein, Jake Hofman
CHI 2025 | April 2025
-
Microsoft New Future of Work Report 2024
Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
MSR-TR-2024-56 | December 2024
Publié par Microsoft
-
Microsoft New Future of Work Report 2023
Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
MSR-TR-2023-34 | December 2023
Publié par Microsoft
-
Early LLM-based Tools for Enterprise Information Workers Likely Provide Meaningful Boosts to Productivity
Alexia Cambon, Brent Hecht, Benjamin Edelman, Donald Ngwe, Sonia Jaffe, Amy Heger, Mihaela Vorvoreanu, Sida Peng, Jake Hofman, Alex Farach, Margarita Bermejo-Cano, Eric Knudsen, James Bono, Hardik Sanghavi, Sofia Spatharioti, David Rothschild, Daniel G. Goldstein, Eirini Kalliamvakou, Peter Cihon, Mert Demirer, Michael Schwarz, Jaime Teevan
MSR-TR-2023-43 | December 2023
Publié par Microsoft
-
Math Education with Large Language Models: Peril or Promise?
Harsh Kumar, David Rothschild, Daniel G. Goldstein, Jake Hofman
SSRN Electronic Journal | December 2023
-
Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment
Sofia Eleni Spatharioti, David Rothschild, Daniel G. Goldstein, Jake Hofman
July 2023
-
Putting scientific results in perspective: Improving the communication of standardized effect sizes
Yea-Seul Kim, Jake Hofman, Daniel G. Goldstein
CHI 2022 | April 2022
-
Round Numbers Can Sharpen Cognition
Huy Anh Nguyen, Jake Hofman, Daniel G. Goldstein
CHI 2022 | April 2022
-
Investigating Perceptual Biases in Icon Arrays
Cindy Xiong, Ali Sarvghad, Daniel G. Goldstein, Jake Hofman, Çağatay Demiralp
CHI 2022 | April 2022
Honorable Mention
-
How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results
Jake Hofman, Daniel G. Goldstein, Jessica Hullman
CHI 2020 | April 2020
-
VoxPL: Programming with the Wisdom of the Crowd
Daniel W. Barowy, Emery D. Berger, Daniel G. Goldstein, Siddharth Suri
Proceedings of CHI 2017 | May 2017
ISBN: 978-1-4503-4655-9/17/05
-
The Economic and Cognitive Costs of Annoying Display Advertisements
Daniel G. Goldstein, Siddharth Suri, Preston McAfee, Matthew Ekstrand-Abueg, Fernando Diaz
Journal of Marketing Research | December 2014
-
-
-
Microsoft New Future of Work Report 2024
Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
MSR-TR-2024-56 | December 2024
Publié par Microsoft
-
Microsoft New Future of Work Report 2023
Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
MSR-TR-2023-34 | December 2023
Publié par Microsoft
-
-
-
Microsoft New Future of Work Report 2024
Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
MSR-TR-2024-56 | December 2024
Publié par Microsoft
-
Microsoft New Future of Work Report 2023
Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
MSR-TR-2023-34 | December 2023
Publié par Microsoft
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-
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Microsoft New Future of Work Report 2024
Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
MSR-TR-2024-56 | December 2024
Publié par Microsoft
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Microsoft New Future of Work Report 2023
Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
MSR-TR-2023-34 | December 2023
Publié par Microsoft
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An illusion of predictability in scientific results: Even experts confuse inferential uncertainty and outcome variability
Sam Zhang, Patrick R. Heck, Michelle N. Meyer, Christopher F. Chabris, Daniel G. Goldstein, Jake M. Hofman
Proceeding of the National Academy of Sciences | August 2023, Vol 120(33)
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Manipulating and Measuring Model Interpretability
Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake Hofman, Jennifer Wortman Vaughan, Hanna Wallach
CHI 2021 | May 2021
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Datamations: Animated Explanations of Data Analysis Pipelines
Xiaoying Pu, Sean Kross, Jake Hofman, Daniel G. Goldstein
April 2021
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How good is good enough for COVID19 apps?
Gabriel Kaptchuk, Daniel G. Goldstein, Eszter Hargittai, Jake Hofman, Elissa M. Redmiles
May 2020
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How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results
Jake Hofman, Daniel G. Goldstein, Jessica Hullman
CHI 2020 | April 2020
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Expanding The Scope Of Reproducibility Research Through Data Analysis Replications
Jake Hofman, Daniel G. Goldstein, Siddhartha Sen, Forough Poursabzi-Sangdeh
The Web Conference Workshop on Innovative Ideas in Data Science (IID) | April 2020
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Transaction Analyzer Using Graph-Oriented Data Structures
Abhishek Banerjee, Daniel G. Goldstein, Roberto Arnetoli, Pravin Darbare, Kevin Lai, Sanjay Saraf
July 2018
US Patent Application
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Improving Comprehension of Numbers in the News
Pablo J. Barrio, Daniel G. Goldstein, Jake Hofman
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems | May 2016
ISBN: 978-1-4503-3362-7
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The Economic and Cognitive Costs of Annoying Display Advertisements
Daniel G. Goldstein, Siddharth Suri, Preston McAfee, Matthew Ekstrand-Abueg, Fernando Diaz
Journal of Marketing Research | December 2014
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Predicting Individual Behavior with Social Networks
Sharad Goel, Daniel G. Goldstein
January 2014
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The Structure of Online Diffusion Networks
Daniel G. Goldstein, Duncan Watts, Sharad Goel
EC '12 Proceedings of the 13th ACM Conference on Electronic Commerce | June 2012
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Microsoft New Future of Work Report 2023
Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
MSR-TR-2023-34 | December 2023
Publié par Microsoft
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How good is good enough for COVID19 apps?
Gabriel Kaptchuk, Daniel G. Goldstein, Eszter Hargittai, Jake Hofman, Elissa M. Redmiles
May 2020
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Learning in the Repeated Secretary Problem
Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James Wright
ACM Economics & Computation 2017 (EC'17) | June 2017
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The Agentic Economy
David Rothschild, Markus Mobius, Jake Hofman, Eleanor Dillon, Daniel G. Goldstein, Nicole Immorlica, Sonia Jaffe, Brendan Lucier, Aleksandrs Slivkins, Matthew Vogel
May 2025
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Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment
Sofia Eleni Spatharioti, David Rothschild, Daniel G. Goldstein, Jake Hofman
July 2023
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How good is good enough for COVID19 apps?
Gabriel Kaptchuk, Daniel G. Goldstein, Eszter Hargittai, Jake Hofman, Elissa M. Redmiles
May 2020
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Perspective annotation for numerical representations
Jake Hofman, Miro Dudík, Daniel G. Goldstein
December 2018
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Transaction Analyzer Using Graph-Oriented Data Structures
Abhishek Banerjee, Daniel G. Goldstein, Roberto Arnetoli, Pravin Darbare, Kevin Lai, Sanjay Saraf
July 2018
US Patent Application
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Effects of LLM-based Search on Decision Making: Speed, Accuracy, and Overreliance
Sofia Eleni Spatharioti, David Rothschild, Daniel G. Goldstein, Jake Hofman
CHI 2025 | April 2025
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Putting scientific results in perspective: Improving the communication of standardized effect sizes
Yea-Seul Kim, Jake Hofman, Daniel G. Goldstein
CHI 2022 | April 2022
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Round Numbers Can Sharpen Cognition
Huy Anh Nguyen, Jake Hofman, Daniel G. Goldstein
CHI 2022 | April 2022
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Investigating Perceptual Biases in Icon Arrays
Cindy Xiong, Ali Sarvghad, Daniel G. Goldstein, Jake Hofman, Çağatay Demiralp
CHI 2022 | April 2022
Honorable Mention
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Manipulating and Measuring Model Interpretability
Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake Hofman, Jennifer Wortman Vaughan, Hanna Wallach
CHI 2021 | May 2021
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How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results
Jake Hofman, Daniel G. Goldstein, Jessica Hullman
CHI 2020 | April 2020
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Expanding The Scope Of Reproducibility Research Through Data Analysis Replications
Jake Hofman, Daniel G. Goldstein, Siddhartha Sen, Forough Poursabzi-Sangdeh
The Web Conference Workshop on Innovative Ideas in Data Science (IID) | April 2020
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To Put That in Perspective: Generating Analogies that Make Numbers Easier to Understand
Christopher Riederer, Jake Hofman, Daniel G. Goldstein
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems | April 2018
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Learning in the Repeated Secretary Problem
Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James Wright
ACM Economics & Computation 2017 (EC'17) | June 2017
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VoxPL: Programming with the Wisdom of the Crowd
Daniel W. Barowy, Emery D. Berger, Daniel G. Goldstein, Siddharth Suri
Proceedings of CHI 2017 | May 2017
ISBN: 978-1-4503-4655-9/17/05
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Improving Comprehension of Numbers in the News
Pablo J. Barrio, Daniel G. Goldstein, Jake Hofman
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems | May 2016
ISBN: 978-1-4503-3362-7
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Predicting Individual Behavior with Social Networks
Sharad Goel, Daniel G. Goldstein
January 2014
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The Structure of Online Diffusion Networks
Daniel G. Goldstein, Duncan Watts, Sharad Goel
EC '12 Proceedings of the 13th ACM Conference on Electronic Commerce | June 2012
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Microsoft New Future of Work Report 2024
Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le
MSR-TR-2024-56 | December 2024
Publié par Microsoft
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Microsoft New Future of Work Report 2023
Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
MSR-TR-2023-34 | December 2023
Publié par Microsoft
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Early LLM-based Tools for Enterprise Information Workers Likely Provide Meaningful Boosts to Productivity
Alexia Cambon, Brent Hecht, Benjamin Edelman, Donald Ngwe, Sonia Jaffe, Amy Heger, Mihaela Vorvoreanu, Sida Peng, Jake Hofman, Alex Farach, Margarita Bermejo-Cano, Eric Knudsen, James Bono, Hardik Sanghavi, Sofia Spatharioti, David Rothschild, Daniel G. Goldstein, Eirini Kalliamvakou, Peter Cihon, Mert Demirer, Michael Schwarz, Jaime Teevan
MSR-TR-2023-43 | December 2023
Publié par Microsoft
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A Sports Analogy for Understanding Different Ways to Use AI
Jake Hofman, Daniel G. Goldstein, David Rothschild
Harvard Business Review | December 2023
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Math Education with Large Language Models: Peril or Promise?
Harsh Kumar, David Rothschild, Daniel G. Goldstein, Jake Hofman
SSRN Electronic Journal | December 2023
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An illusion of predictability in scientific results: Even experts confuse inferential uncertainty and outcome variability
Sam Zhang, Patrick R. Heck, Michelle N. Meyer, Christopher F. Chabris, Daniel G. Goldstein, Jake M. Hofman
Proceeding of the National Academy of Sciences | August 2023, Vol 120(33)
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Learning When to Stop Searching
Daniel G. Goldstein, Siddharth Suri
Management Science | August 2019
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The Illusion of Wealth and Its Reversal
Daniel G. Goldstein, Hal E. Hershfield, Shlomo Benartzi
Journal of Marketing Research | October 2016, Vol 53(5): pp. 804-813
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Subjective beliefs about the income distribution and preferences for redistribution
Social Choice and Welfare | September 2016, pp. 25-61
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Improving the Effectiveness of Time-Based Display Advertising
Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri
ACM Transactions on Economics and Computation | April 2015, Vol 3
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The Economic and Cognitive Costs of Annoying Display Advertisements
Daniel G. Goldstein, Siddharth Suri, Preston McAfee, Matthew Ekstrand-Abueg, Fernando Diaz
Journal of Marketing Research | December 2014
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Increasing Saving Behavior Through Age-Progressed Renderings of the Future Self
Hal E. Hershfield, Daniel G. Goldstein, William F. Sharpe, Jesse Fox, Leo Yeykelis, Laura L. Carstensen, Jeremy N. Bailenson
Journal of Marketing Research | November 2011, Vol 48: pp. S23-S37
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Datamations: Animated Explanations of Data Analysis Pipelines
Xiaoying Pu, Sean Kross, Jake Hofman, Daniel G. Goldstein
April 2021
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