Dan Goldstein

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

Published by Microsoft

Publication Project Project

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

Published by Microsoft

Publication Project

A Sports Analogy for Understanding Different Ways to Use AI

Jake Hofman, Daniel G. Goldstein, David Rothschild

Harvard Business Review | December 2023

Publication Video

Math Education with Large Language Models: Peril or Promise?

Harsh Kumar, David Rothschild, Daniel G. Goldstein, Jake Hofman

SSRN Electronic Journal | December 2023

DOI Video

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)

Publication

Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment

Sofia Eleni Spatharioti, David Rothschild, Daniel G. Goldstein, Jake Hofman

July 2023

DOI Publication Video

Investigating Perceptual Biases in Icon Arrays

Cindy Xiong, Ali Sarvghad, Daniel G. Goldstein, Jake Hofman, Çağatay Demiralp

CHI 2022 | April 2022

Honorable Mention

Publication

Putting scientific results in perspective: Improving the communication of standardized effect sizes

Yea-Seul Kim, Jake Hofman, Daniel G. Goldstein

CHI 2022 | April 2022

Publication

Round Numbers Can Sharpen Cognition

Huy Anh Nguyen, Jake Hofman, Daniel G. Goldstein

CHI 2022 | April 2022

Publication

Manipulating and Measuring Model Interpretability

Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake Hofman, Jennifer Wortman Vaughan, Hanna Wallach

CHI 2021 | May 2021

Publication Project

Datamations: Animated Explanations of Data Analysis Pipelines

Xiaoying Pu, Sean Kross, Jake Hofman, Daniel G. Goldstein

April 2021

Publication Github Project

How good is good enough for COVID19 apps?

Gabriel Kaptchuk, Daniel G. Goldstein, Eszter Hargittai, Jake Hofman, Elissa M. Redmiles

May 2020

Publication Project

How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results

Jake Hofman, Daniel G. Goldstein, Jessica Hullman

CHI 2020 | April 2020

Publication PDF

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

Publication

Learning When to Stop Searching

Daniel G. Goldstein, Siddharth Suri

Management Science | August 2019

DOI PDF

Perspective annotation for numerical representations

Jake Hofman, Miro Dudík, Daniel G. Goldstein

December 2018

Publication Publication Project

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

Publication

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

Publication Project

Learning in the Repeated Secretary Problem

Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James Wright

ACM Economics & Computation 2017 (EC'17) | June 2017

Publication

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

Publication Publication Publication

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

PDF Publication

Subjective beliefs about the income distribution and preferences for redistribution

Daniel G. Goldstein

Social Choice and Welfare | September 2016, pp. 25-61

Publication

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

Publication Publication Publication Project

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

Publication

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

Publication

Predicting Individual Behavior with Social Networks

Sharad Goel, Daniel G. Goldstein

January 2014

Publication Publication

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

DOI

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

Publication Publication

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

Published by Microsoft

Publication Project Project

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

Published by Microsoft

Publication Project

Math Education with Large Language Models: Peril or Promise?

Harsh Kumar, David Rothschild, Daniel G. Goldstein, Jake Hofman

SSRN Electronic Journal | December 2023

DOI Video

Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment

Sofia Eleni Spatharioti, David Rothschild, Daniel G. Goldstein, Jake Hofman

July 2023

DOI Publication Video

Putting scientific results in perspective: Improving the communication of standardized effect sizes

Yea-Seul Kim, Jake Hofman, Daniel G. Goldstein

CHI 2022 | April 2022

Publication

Round Numbers Can Sharpen Cognition

Huy Anh Nguyen, Jake Hofman, Daniel G. Goldstein

CHI 2022 | April 2022

Publication

Investigating Perceptual Biases in Icon Arrays

Cindy Xiong, Ali Sarvghad, Daniel G. Goldstein, Jake Hofman, Çağatay Demiralp

CHI 2022 | April 2022

Honorable Mention

Publication

How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results

Jake Hofman, Daniel G. Goldstein, Jessica Hullman

CHI 2020 | April 2020

Publication PDF

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

Publication Publication Publication

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

Publication

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

Published by Microsoft

Publication Project Project

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

Published by Microsoft

Publication Project

A Sports Analogy for Understanding Different Ways to Use AI

Jake Hofman, Daniel G. Goldstein, David Rothschild

Harvard Business Review | December 2023

Publication Video

Manipulating and Measuring Model Interpretability

Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake Hofman, Jennifer Wortman Vaughan, Hanna Wallach

CHI 2021 | May 2021

Publication Project

How good is good enough for COVID19 apps?

Gabriel Kaptchuk, Daniel G. Goldstein, Eszter Hargittai, Jake Hofman, Elissa M. Redmiles

May 2020

Publication Project

Perspective annotation for numerical representations

Jake Hofman, Miro Dudík, Daniel G. Goldstein

December 2018

Publication Publication Project

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

Publication Project

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

Published by Microsoft

Publication Project Project

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

Published by Microsoft

Publication Project

A Sports Analogy for Understanding Different Ways to Use AI

Jake Hofman, Daniel G. Goldstein, David Rothschild

Harvard Business Review | December 2023

Publication Video

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

Publication

Learning When to Stop Searching

Daniel G. Goldstein, Siddharth Suri

Management Science | August 2019

DOI PDF

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

PDF Publication

Subjective beliefs about the income distribution and preferences for redistribution

Daniel G. Goldstein

Social Choice and Welfare | September 2016, pp. 25-61

Publication

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

Publication

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

Publication

Predicting Individual Behavior with Social Networks

Sharad Goel, Daniel G. Goldstein

January 2014

Publication Publication

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

DOI

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

Publication Publication

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

Published by Microsoft

Publication Project Project

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

Published by Microsoft

Publication Project Project

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

Published by Microsoft

Publication Project Project

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

Published by Microsoft

Publication Project Project

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)

Publication

Manipulating and Measuring Model Interpretability

Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake Hofman, Jennifer Wortman Vaughan, Hanna Wallach

CHI 2021 | May 2021

Publication Project

Datamations: Animated Explanations of Data Analysis Pipelines

Xiaoying Pu, Sean Kross, Jake Hofman, Daniel G. Goldstein

April 2021

Publication Github Project

How good is good enough for COVID19 apps?

Gabriel Kaptchuk, Daniel G. Goldstein, Eszter Hargittai, Jake Hofman, Elissa M. Redmiles

May 2020

Publication Project

How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results

Jake Hofman, Daniel G. Goldstein, Jessica Hullman

CHI 2020 | April 2020

Publication PDF

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

Publication

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

Publication

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

Publication Publication Publication Project

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

Publication

Predicting Individual Behavior with Social Networks

Sharad Goel, Daniel G. Goldstein

January 2014

Publication Publication

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

DOI

How good is good enough for COVID19 apps?

Gabriel Kaptchuk, Daniel G. Goldstein, Eszter Hargittai, Jake Hofman, Elissa M. Redmiles

May 2020

Publication Project

Learning in the Repeated Secretary Problem

Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James Wright

ACM Economics & Computation 2017 (EC'17) | June 2017

Publication

Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment

Sofia Eleni Spatharioti, David Rothschild, Daniel G. Goldstein, Jake Hofman

July 2023

DOI Publication Video

How good is good enough for COVID19 apps?

Gabriel Kaptchuk, Daniel G. Goldstein, Eszter Hargittai, Jake Hofman, Elissa M. Redmiles

May 2020

Publication Project

Perspective annotation for numerical representations

Jake Hofman, Miro Dudík, Daniel G. Goldstein

December 2018

Publication Publication Project

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

Publication

A Sports Analogy for Understanding Different Ways to Use AI

Jake Hofman, Daniel G. Goldstein, David Rothschild

Harvard Business Review | December 2023

Publication Video

Math Education with Large Language Models: Peril or Promise?

Harsh Kumar, David Rothschild, Daniel G. Goldstein, Jake Hofman

SSRN Electronic Journal | December 2023

DOI Video

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)

Publication

Learning When to Stop Searching

Daniel G. Goldstein, Siddharth Suri

Management Science | August 2019

DOI PDF

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

PDF Publication

Subjective beliefs about the income distribution and preferences for redistribution

Daniel G. Goldstein

Social Choice and Welfare | September 2016, pp. 25-61

Publication

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

Publication

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

Publication

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

Publication Publication

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

Published by Microsoft

Publication Project Project

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

Published by Microsoft

Publication Project

Putting scientific results in perspective: Improving the communication of standardized effect sizes

Yea-Seul Kim, Jake Hofman, Daniel G. Goldstein

CHI 2022 | April 2022

Publication

Round Numbers Can Sharpen Cognition

Huy Anh Nguyen, Jake Hofman, Daniel G. Goldstein

CHI 2022 | April 2022

Publication

Investigating Perceptual Biases in Icon Arrays

Cindy Xiong, Ali Sarvghad, Daniel G. Goldstein, Jake Hofman, Çağatay Demiralp

CHI 2022 | April 2022

Honorable Mention

Publication

Manipulating and Measuring Model Interpretability

Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake Hofman, Jennifer Wortman Vaughan, Hanna Wallach

CHI 2021 | May 2021

Publication Project

How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results

Jake Hofman, Daniel G. Goldstein, Jessica Hullman

CHI 2020 | April 2020

Publication PDF

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

Publication

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

Publication Project

Learning in the Repeated Secretary Problem

Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James Wright

ACM Economics & Computation 2017 (EC'17) | June 2017

Publication

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

Publication Publication Publication

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

Publication Publication Publication Project

Predicting Individual Behavior with Social Networks

Sharad Goel, Daniel G. Goldstein

January 2014

Publication Publication

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

DOI

Datamations: Animated Explanations of Data Analysis Pipelines

Xiaoying Pu, Sean Kross, Jake Hofman, Daniel G. Goldstein

April 2021

Publication Github Project