Jake Hofman

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

Integrating explanation and prediction in computational social science

Jake Hofman, Duncan J Watts, Susan Athey, Filiz Garip, Thomas L Griffiths, Jon Kleinberg, Helen Margetts, Sendhil Mullainathan, Matthew J Salganik, Simine Vazire, Alessandro Vespignani, Tal Yarkoni

Nature | June 2021, Vol 595(7866): pp. 181-188

Publication DOI

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

Perspective annotation for numerical representations

Jake Hofman, Miro Dudík, Daniel G. Goldstein

December 2018

Publication Publication Project

Split-door criterion: Identification of causal effects through auxiliary outcomes

Amit Sharma, Jake Hofman, Duncan Watts

Annals of Applied Statistics | December 2018, Vol 12(4): pp. 2699-2733

Publication

Explanation, Prediction, And Causality: Three Sides Of The Same Coin?

Duncan Watts, Emorie D Beck, Elisa Jayne Bienenstock, Jake Bowers, Aaron Frank, Anthony Grubesic, Jake Hofman, Julia M. Rohrer, Matthew Salganik

October 2018

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

Prediction and explanation in social systems

Jake Hofman, Amit Sharma, Duncan Watts

Science | February 2017, Vol 355: pp. 486-488

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

Exploring Limits to Prediction in Complex Social Systems: Predicting Cascade Size on Twitter

Travis Martin, Jake Hofman, Amit Sharma, Ashton Anderson, Duncan Watts

Proceedings of the 25th International Conference on World Wide Web | April 2016

Publication

Online and Social Media Data As an Imperfect Continuous Panel Survey

Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild

PlosONE | January 2016, Vol 11

Publication Publication Download

The Structural Virality of Online Diffusion

Sharad Goel, Jake Hofman, Duncan Watts, Ashton Anderson

Management Science | July 2015, Vol 62(1): pp. 180-196

Publication Publication

Estimating the Causal Impact of Recommendation Systems from Observational Data

Amit Sharma, Jake Hofman, Duncan Watts

Proceedings of the Sixteenth ACM Conference on Economics and Computation | June 2015

ISBN: 978-1-4503-3410-5

Publication Publication

A Large-scale Exploration of Group Viewing Patterns

Allison J.B. Chaney, Mike Gartrell, Jake Hofman, John Guiver, Noam Koenigstein, Pushmeet Kohli, Ulrich Paquet

TVX '14 Proceedings of the 2014 ACM international conference on Interactive experiences for TV and online video | June 2014

ISBN: 978-1-4503-2838-8

Publication Publication

Online And Social Media Data As A Flawed Continuous Panel Survey

Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild

MSR-TR-2014-159 | May 2014

Publication Project

Mining Large-scale TV Group Viewing Patterns for Group Recommendation

Allison J.B. Chaney, Mike Gartrell, Jake Hofman, John Guiver, Noam Koenigstein, Pushmeet Kohli, Ulrich Paquet

MSR-TR-2013-114 | November 2013

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

Estimating the Causal Impact of Recommendation Systems from Observational Data

Amit Sharma, Jake Hofman, Duncan Watts

Proceedings of the Sixteenth ACM Conference on Economics and Computation | June 2015

ISBN: 978-1-4503-3410-5

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

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

Split-door criterion: Identification of causal effects through auxiliary outcomes

Amit Sharma, Jake Hofman, Duncan Watts

Annals of Applied Statistics | December 2018, Vol 12(4): pp. 2699-2733

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

Mining Large-scale TV Group Viewing Patterns for Group Recommendation

Allison J.B. Chaney, Mike Gartrell, Jake Hofman, John Guiver, Noam Koenigstein, Pushmeet Kohli, Ulrich Paquet

MSR-TR-2013-114 | November 2013

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

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

Estimating the Causal Impact of Recommendation Systems from Observational Data

Amit Sharma, Jake Hofman, Duncan Watts

Proceedings of the Sixteenth ACM Conference on Economics and Computation | June 2015

ISBN: 978-1-4503-3410-5

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

Estimating the Causal Impact of Recommendation Systems from Observational Data

Amit Sharma, Jake Hofman, Duncan Watts

Proceedings of the Sixteenth ACM Conference on Economics and Computation | June 2015

ISBN: 978-1-4503-3410-5

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

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

Integrating explanation and prediction in computational social science

Jake Hofman, Duncan J Watts, Susan Athey, Filiz Garip, Thomas L Griffiths, Jon Kleinberg, Helen Margetts, Sendhil Mullainathan, Matthew J Salganik, Simine Vazire, Alessandro Vespignani, Tal Yarkoni

Nature | June 2021, Vol 595(7866): pp. 181-188

Publication DOI

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

Explanation, Prediction, And Causality: Three Sides Of The Same Coin?

Duncan Watts, Emorie D Beck, Elisa Jayne Bienenstock, Jake Bowers, Aaron Frank, Anthony Grubesic, Jake Hofman, Julia M. Rohrer, Matthew Salganik

October 2018

Publication

Prediction and explanation in social systems

Jake Hofman, Amit Sharma, Duncan Watts

Science | February 2017, Vol 355: pp. 486-488

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

Exploring Limits to Prediction in Complex Social Systems: Predicting Cascade Size on Twitter

Travis Martin, Jake Hofman, Amit Sharma, Ashton Anderson, Duncan Watts

Proceedings of the 25th International Conference on World Wide Web | April 2016

Publication

Online and Social Media Data As an Imperfect Continuous Panel Survey

Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild

PlosONE | January 2016, Vol 11

Publication Publication Download

The Structural Virality of Online Diffusion

Sharad Goel, Jake Hofman, Duncan Watts, Ashton Anderson

Management Science | July 2015, Vol 62(1): pp. 180-196

Publication Publication

Estimating the Causal Impact of Recommendation Systems from Observational Data

Amit Sharma, Jake Hofman, Duncan Watts

Proceedings of the Sixteenth ACM Conference on Economics and Computation | June 2015

ISBN: 978-1-4503-3410-5

Publication Publication

A Large-scale Exploration of Group Viewing Patterns

Allison J.B. Chaney, Mike Gartrell, Jake Hofman, John Guiver, Noam Koenigstein, Pushmeet Kohli, Ulrich Paquet

TVX '14 Proceedings of the 2014 ACM international conference on Interactive experiences for TV and online video | June 2014

ISBN: 978-1-4503-2838-8

Publication Publication

Online And Social Media Data As A Flawed Continuous Panel Survey

Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild

MSR-TR-2014-159 | May 2014

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

Mining Large-scale TV Group Viewing Patterns for Group Recommendation

Allison J.B. Chaney, Mike Gartrell, Jake Hofman, John Guiver, Noam Koenigstein, Pushmeet Kohli, Ulrich Paquet

MSR-TR-2013-114 | November 2013

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

Explanation, Prediction, And Causality: Three Sides Of The Same Coin?

Duncan Watts, Emorie D Beck, Elisa Jayne Bienenstock, Jake Bowers, Aaron Frank, Anthony Grubesic, Jake Hofman, Julia M. Rohrer, Matthew Salganik

October 2018

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

Integrating explanation and prediction in computational social science

Jake Hofman, Duncan J Watts, Susan Athey, Filiz Garip, Thomas L Griffiths, Jon Kleinberg, Helen Margetts, Sendhil Mullainathan, Matthew J Salganik, Simine Vazire, Alessandro Vespignani, Tal Yarkoni

Nature | June 2021, Vol 595(7866): pp. 181-188

Publication DOI

Split-door criterion: Identification of causal effects through auxiliary outcomes

Amit Sharma, Jake Hofman, Duncan Watts

Annals of Applied Statistics | December 2018, Vol 12(4): pp. 2699-2733

Publication

Prediction and explanation in social systems

Jake Hofman, Amit Sharma, Duncan Watts

Science | February 2017, Vol 355: pp. 486-488

Publication Publication Publication

Online and Social Media Data As an Imperfect Continuous Panel Survey

Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild

PlosONE | January 2016, Vol 11

Publication Publication Download

The Structural Virality of Online Diffusion

Sharad Goel, Jake Hofman, Duncan Watts, Ashton Anderson

Management Science | July 2015, Vol 62(1): pp. 180-196

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

Online And Social Media Data As A Flawed Continuous Panel Survey

Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild

MSR-TR-2014-159 | May 2014

Publication Project

Mining Large-scale TV Group Viewing Patterns for Group Recommendation

Allison J.B. Chaney, Mike Gartrell, Jake Hofman, John Guiver, Noam Koenigstein, Pushmeet Kohli, Ulrich Paquet

MSR-TR-2013-114 | November 2013

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

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

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

Exploring Limits to Prediction in Complex Social Systems: Predicting Cascade Size on Twitter

Travis Martin, Jake Hofman, Amit Sharma, Ashton Anderson, Duncan Watts

Proceedings of the 25th International Conference on World Wide Web | April 2016

Publication

Estimating the Causal Impact of Recommendation Systems from Observational Data

Amit Sharma, Jake Hofman, Duncan Watts

Proceedings of the Sixteenth ACM Conference on Economics and Computation | June 2015

ISBN: 978-1-4503-3410-5

Publication Publication

A Large-scale Exploration of Group Viewing Patterns

Allison J.B. Chaney, Mike Gartrell, Jake Hofman, John Guiver, Noam Koenigstein, Pushmeet Kohli, Ulrich Paquet

TVX '14 Proceedings of the 2014 ACM international conference on Interactive experiences for TV and online video | June 2014

ISBN: 978-1-4503-2838-8

Publication Publication

Datamations: Animated Explanations of Data Analysis Pipelines

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

April 2021

Publication Github Project