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
David Rothschild
Economist
Papiers de Collaboration
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Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage
Jennifer Wang, Samar Haider, Amir Tohidi, Anushkaa Gupta, Yuxuan Zhang, Christopher Callison-Burch, David Rothschild, Duncan J Watts
CHI 2025 | 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
-
-
-
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
-
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
-
-
-
Designing a Combinatorial Financial Options Market
Xintong Wang, David M. Pennock, Nikhil R. Devanur, David Rothschild, Biaoshuai Tao, Michael P. Wellman
EC '21: Proceedings of the 22nd ACM Conference on Economics and Computation | July 2021
-
Combatting Gerrymandering with Social Choice: the Design of Multi-member Districts.
Nikhil Garg, Wes Gurnee, David Rothschild, David Shmoys
July 2021
-
Vaccine advertising: Preach to the converted or to the unaware?
Maria Krupenkin, Elad Yom-Tov, David Rothschild
DPJ Digital Medicine | February 2021, Vol 4
-
-
-
Log-time Prediction Markets for Interval Securities
Miro Dudík, Xintong Wang, David M. Pennock, David Rothschild
September 2020
-
Beyond Agenda Setting: Does Media Coverage Of Immigration Lead To Anti-Immigrant Behavior?
Masha Krupenkin, Shawndra Hill, David Rothschild
April 2020
-
Using Machine Learning to Measure Changes in Cable News Coverage of Immigration (2014-2019)
Masha Krupenkin, David Rothschild
Computation + Journalism Symposium 2020 | March 2020
-
-
-
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
-
-
-
Expertise in the Field Fades in the Lab
Etan Green, Justin Rao, David Rothschild
September 2015
-
-
-
Forecasting elections with non-representative polls
Wei Wang, David Rothschild, Sharad Goel, Andrew Gelman
International Journal of Forecasting | September 2014
-
-
-
A Combinatorial Prediction Market for the U.S. Elections
Sébastien Lahaie, Miro Dudík, David Rothschild, David Pennock
ACM Conference on Electronic Commerce | June 2013
-
-
-
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
-
Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage
Jennifer Wang, Samar Haider, Amir Tohidi, Anushkaa Gupta, Yuxuan Zhang, Christopher Callison-Burch, David Rothschild, Duncan J Watts
CHI 2025 | 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
-
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
-
-
-
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 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
-
Designing a Combinatorial Financial Options Market
Xintong Wang, David M. Pennock, Nikhil R. Devanur, David Rothschild, Biaoshuai Tao, Michael P. Wellman
EC '21: Proceedings of the 22nd ACM Conference on Economics and Computation | July 2021
-
Combatting Gerrymandering with Social Choice: the Design of Multi-member Districts.
Nikhil Garg, Wes Gurnee, David Rothschild, David Shmoys
July 2021
-
Log-time Prediction Markets for Interval Securities
Miro Dudík, Xintong Wang, David M. Pennock, David Rothschild
September 2020
-
Expertise in the Field Fades in the Lab
Etan Green, Justin Rao, David Rothschild
September 2015
-
-
-
Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage
Jennifer Wang, Samar Haider, Amir Tohidi, Anushkaa Gupta, Yuxuan Zhang, Christopher Callison-Burch, David Rothschild, Duncan J Watts
CHI 2025 | 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
-
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
-
-
-
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 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 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 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
-
Beyond Agenda Setting: Does Media Coverage Of Immigration Lead To Anti-Immigrant Behavior?
Masha Krupenkin, Shawndra Hill, David Rothschild
April 2020
-
Using Machine Learning to Measure Changes in Cable News Coverage of Immigration (2014-2019)
Masha Krupenkin, David Rothschild
Computation + Journalism Symposium 2020 | March 2020
-
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
-
Expertise in the Field Fades in the Lab
Etan Green, Justin Rao, David Rothschild
September 2015
-
Forecasting elections with non-representative polls
Wei Wang, David Rothschild, Sharad Goel, Andrew Gelman
International Journal of Forecasting | September 2014
-
-
-
Vaccine advertising: Preach to the converted or to the unaware?
Maria Krupenkin, Elad Yom-Tov, David Rothschild
DPJ Digital Medicine | February 2021, Vol 4
-
-
-
A Combinatorial Prediction Market for the U.S. Elections
Sébastien Lahaie, Miro Dudík, David Rothschild, David Pennock
ACM Conference on Electronic Commerce | June 2013
-
-
-
A Combinatorial Prediction Market for the U.S. Elections
Sébastien Lahaie, Miro Dudík, David Rothschild, David Pennock
ACM Conference on Electronic Commerce | June 2013
-
-
-
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
-
Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment
Sofia Eleni Spatharioti, David Rothschild, Daniel G. Goldstein, Jake Hofman
July 2023
-
Combatting Gerrymandering with Social Choice: the Design of Multi-member Districts.
Nikhil Garg, Wes Gurnee, David Rothschild, David Shmoys
July 2021
-
Beyond Agenda Setting: Does Media Coverage Of Immigration Lead To Anti-Immigrant Behavior?
Masha Krupenkin, Shawndra Hill, David Rothschild
April 2020
-
-
-
Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage
Jennifer Wang, Samar Haider, Amir Tohidi, Anushkaa Gupta, Yuxuan Zhang, Christopher Callison-Burch, David Rothschild, Duncan J Watts
CHI 2025 | 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
-
Designing a Combinatorial Financial Options Market
Xintong Wang, David M. Pennock, Nikhil R. Devanur, David Rothschild, Biaoshuai Tao, Michael P. Wellman
EC '21: Proceedings of the 22nd ACM Conference on Economics and Computation | July 2021
-
Using Machine Learning to Measure Changes in Cable News Coverage of Immigration (2014-2019)
Masha Krupenkin, David Rothschild
Computation + Journalism Symposium 2020 | March 2020
-
Expertise in the Field Fades in the Lab
Etan Green, Justin Rao, David Rothschild
September 2015
-
A Combinatorial Prediction Market for the U.S. Elections
Sébastien Lahaie, Miro Dudík, David Rothschild, David Pennock
ACM Conference on Electronic Commerce | June 2013
-
-
-
A Sports Analogy for Understanding Different Ways to Use AI
Jake Hofman, Daniel G. Goldstein, David Rothschild
Harvard Business Review | December 2023
-
Math Education with Large Language Models: Peril or Promise?
Harsh Kumar, David Rothschild, Daniel G. Goldstein, Jake Hofman
SSRN Electronic Journal | December 2023
-
Vaccine advertising: Preach to the converted or to the unaware?
Maria Krupenkin, Elad Yom-Tov, David Rothschild
DPJ Digital Medicine | February 2021, Vol 4
-
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
-
Forecasting elections with non-representative polls
Wei Wang, David Rothschild, Sharad Goel, Andrew Gelman
International Journal of Forecasting | September 2014
-
-
-
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
-
-
-
Log-time Prediction Markets for Interval Securities
Miro Dudík, Xintong Wang, David M. Pennock, David Rothschild
September 2020
-