Professor in Political Science and Computer and Information Science

David Lazer

Research Tracks Overview

Journal Article
Ballot Box
Publication date: 
02/2017
Authors: 
Ryan P. Kennedy
Stefan J. Wojcik
David Lazer

This study reports the results of a multiyear program to predict direct executive elections in a variety of countries from globally pooled data.

We developed prediction models by means of an election data set covering 86 countries and more than 500 elections, and a  separate data set with extensive polling data from 146 election rounds.

Journal Article
Publication date: 
03/2017
Authors: 
Michael Neblo
William Minozzi
Kevin M. Esterling
Jon Green
Jonathan Kingzette
David Lazer

The bitterly factious 2016 U.S. presidential election campaign was the culmination of several trends that, taken together, constitute a syndrome of chronic ailments in the body politic. Ironically, these destructive trends have accelerated just as science has rapidly improved our understanding of them and their underlying causes. But mere understanding is not sufficient to repair our politics.

Journal Article
Publication date: 
02/2017
Authors: 
Ryan P. Kennedy
Stefan J. Wojcik
David Lazer

This study reports the results of a multiyear program to predict direct executive elections in a variety of countries from globally pooled data. We developed prediction models by means of an election data set covering 86 countries and more than 500 elections, and a separate data set with extensive polling data from 146 election rounds. We also participated in two live forecasting eperiments.

Journal Article
Publication date: 
02/2017
Authors: 
Ryan P. Kennedy
Stefan J. Wojcik
David Lazer

This study reports the results of a  multiyear program to predict direct executive elections in a variety of countries from globally pooled data. We developed prediction models by means of an election data set covering 86 countries and more than 500 elections, and a separate data set with extensive polling data from 146 election rounds. We also participated in two live forecasting experiments.

Journal Article
Publication date: 
12/2016
Authors: 
Jason Radford
Andy Pilny
Ashley Reichelmann
Brian Keegan
Brooke Foucault Welles
Jefferson Hoye
Katherine Ognyanova
Weleed Meleis
David Lazer

Experimental Research in traditional laboratories comes at a significant logistic and financial cost while drawing data from demographically narrow populations. The growth of online methods of research has resulted in effective means for social psychologists to collect large-scale survey-based data in a cost-effective and timely manner.

Journal Article
Publication date: 
12/2016
Authors: 
Jason Radford
Andy Pilny
Ashley Reichelmann
Brian Keegan
Brooke Foucault Welles
Jefferson Hoye
Katherine Ognyanova
Weleed Meleis
David Lazer

Experimental research in traditional laboratories comes at a significant logistic and financial cost while drawing data from demographically narrow populations. The growth of online methods of research has resulted in effective means for social psychologists to collect large-scale survey-based data in a cost-effective and timely manner.

Journal Article
Publication date: 
09/2016
Authors: 
Wei Wang
Ryan P. Kennedy
David Lazer
Naren Ramakrishnan

There have been serious efforts over the past 40 years to use newspaper articles to create global scale databases of events occurring in every corner of the world, to help understand and shape responses to global problems.

Journal Article
Publication date: 
09/2016
Authors: 
Wei Wang
Ryan P. Kennedy
David Lazer
Naren Ramakrishnan

There have been serious efforts over the past 40 years to use newspaper articles to create global-scale databases of events occurring in every corner of the world, to help understand and shape responses to global problems.

Journal Article
Publication date: 
08/2015
Authors: 
Drew B. Margolin
Brian Keegan
Sasha Goodman
Yu-Ru Lin
David Lazer

The use of socio-technical data to predict elections is a growing research area. We argue that election prediction research suffers from under-specified theoretical models that do not properly distinguish between 'poll-like' and 'prediction market-like' mechanisms understand findings.

Pages