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  • 09 Dec 2015
  • Working Paper Summaries

Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life

Keywords: by Edward L. Glaeser, Scott Duke Kominers, Michael Luca & Nikhil Naik
  • 16 Aug 2017
  • Research & Ideas

Researchers Use Google Street View to See the Future of Cities

paper was written by Nikhil Naik, a Prize Fellow at Harvard University; Scott Duke Kominers, the Harvard Business School MBA Class of 1960... View Details
Keywords: by Michael Blanding; Real Estate
  • 08 Feb 2016
  • Research & Ideas

The Civic Benefits of Google Street View and Yelp

use it. In the paper, Luca, Edward L. Glaeser and Scott Duke Kominers (PhDBE 2011) of Harvard University, and PhD student Nikhil Naik of the... View Details
Keywords: by Michael Blanding; Consumer Products
  • 26 Sep 2017
  • First Look

First Look at New Research and Ideas, September 26, 2017

Measure Economic Activity at Scale By: Glaeser, Edward L., Hyunjin Kim, and Michael Luca Abstract—Can new data sources from online platforms help... View Details
Keywords: Sean Silverthorne
  • 10 May 2016
  • First Look

May 10, 2016

Promises and Limitations of Improved Measures of Urban Life By: Glaeser, Edward L., Scott Duke Kominers, View Details
Keywords: Carmen Nobel
  • 25 Jul 2017
  • First Look

First Look at New Research and Ideas: July 25, 2017

https://www.hbs.edu/faculty/Pages/item.aspx?num=52939 forthcoming Proceedings of the National Academy of Sciences of the United States of America Computer Vision Uncovers Predictors of Physical Urban Change By: Naik, Nikhil, Scott View Details
Keywords: Carmen Nobel
  • 08 Dec 2015
  • First Look

December 8, 2015

Big Cities: The Promises and Limitations of Improved Measures of Urban Life By: Glaeser, Edward L., Scott Duke View Details
Keywords: Sean Silverthorne
  • Article

Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy

By: Edward Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca
The proliferation of big data makes it possible to better target city services like hygiene inspections, but city governments rarely have the in-house talent needed for developing prediction algorithms. Cities could hire consultants, but a cheaper alternative is to... View Details
Keywords: User-generated Content; Operations; Tournaments; Policy-making; Machine Learning; Online Platforms; Analytics and Data Science; Mathematical Methods; City; Infrastructure; Business Processes; Government and Politics
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  • 26 Jan 2016
  • First Look

January 26, 2016

Proceedings Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy By: Glaeser, Edward, Andrew Hillis, Scott Kominers, and View Details
Keywords: Sean Silverthorne
  • 24 Apr 2018
  • First Look

First Look at New Research and Ideas, April 24, 2018

https://www.hbs.edu/faculty/Pages/item.aspx?num=54407 forthcoming ACM SIGecom Exchanges Good Markets (Really Do) Make Good Neighbors By: Kominers, Scott Duke Abstract—This... View Details
Keywords: Sean Silverthorne
  • January 2018
  • Article

Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life

By: Edward L. Glaeser, Scott Duke Kominers, Michael Luca and Nikhil Naik
New, "big" data sources allow measurement of city characteristics and outcome variables at higher frequencies and finer geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big data has the most value for... View Details
Keywords: Analytics and Data Science; Urban Scope; City
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  • 07 Nov 2017
  • First Look

New Research and Ideas: November 7, 2017

https://www.hbs.edu/faculty/Pages/item.aspx?num=53441 forthcoming Operations Research Letters Orienteering for Electioneering By: Kallenbach, Jonah, Robert Kleinberg, and Scott Duke Kominers Abstract—In this... View Details
Keywords: Carmen Nobel
  • April 2024
  • Article

Decision Authority and the Returns to Algorithms

By: Hyunjin Kim, Edward L. Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca
We evaluate a pilot in an Inspections Department to explore the returns to a pair of algorithms that varied in their sophistication. We find that both algorithms provided substantial prediction gains, suggesting that even simple data may be helpful. However, these... View Details
Keywords: Algorithmic Aversion; Algorithmic Decision Making; Algorithms; Public Entrepreneurship; Govenment; Local Government; Crowdsourcing; Crowdsourcing Contests; Inspection; Principal-agent Theory; Government Administration; Decision Making; Public Administration Industry; United States
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