Ali Jadbabaie

Biographic Data

ID4371283
NAMEAli Jadbabaie
GIVEN NAMESAli
FAMILY NAMEJadbabaie
SIGNATUREJADBABAIE A
AFFILIATIONSMassachusetts Institute of Technology
ORCID0000-0003-1122-3069
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS4
WORKS AS AUTHOR9
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2010
LATEST PUBLICATION YEAR2025
H-INDEX1

  • Estimating the Impact of Drone Strikes on Civilians Using Call Detail Records

    Open AccessPaolo Bertolotti, Aidan Milliff et al.ARTICLEBritish Journal of Political…2025References: 49

    Drone strikes are a fixture of US counter-terrorism policy, often advertised as ‘surgical’ alternatives to ground operations. Drone strikes’ effects, however, are less precise than proponents suggest. Using data from over 12 billion call detail records from Yemen between 2010 and 2012, we show that the US drone campaign significantly disrupted civilian lives in previously-unmeasured ways. Strikes cause large increases in civilian mobility away fr…

  • The effect of drone strikes on civilian communication

    Open AccessFotini Christia, Spyros I Zoumpouli et al.ARTICLEPolitical Science Research and…2022Cited by: 4References: 31

    Although covert warfare does not readily lend itself to scientific inquiry, new technologies are increasingly providing scholars with tools that enable such research. In this note, we examine the effects of drone strikes on patterns of communication in Yemen using big data and anomaly detection methods. The combination of these analytic tools allows us to not only quantify some of the effects of drone strikes, but also to compare them to other sh…

  • Persuasion, News Sharing, and Cascades on Social Networks

    Open AccessChin-Chia Hsu, Amir Ajorlou et al.ARTICLESSRN Electronic Journal2021

  • A Theory of Misinformation Spread on Social Networks

    Open AccessChin-Chia Hsu, Amir Ajorlou et al.ARTICLESSRN Electronic Journal2019

  • A Theory of Non-Bayesian Social Learning

    Open AccessPooya Molavi, Alireza Tahbaz-Salehi et al.ARTICLEEconometrica2018

    This paper studies the behavioral foundations of non-Bayesian models of learning over social networks and develops a taxonomy of conditions for information aggregation in a general framework. As our main behavioral assumption, we postulate that agents follow social learning rules that satisfy “imperfect recall,” according to which they treat the current beliefs of their neighbors as sufficient statistics for the entire history of their observatio…

  • Information Heterogeneity and the Speed of Learning in Social Networks

    Open AccessAli Jadbabaie, Pooya Molavi et al.ARTICLESSRN Electronic Journal2013

  • Non-Bayesian social learning

    Open AccessAli Jadbabaie, Pooya Molavi et al.ARTICLEGames and Economic Behavior2012

  • 'Non-Bayesian Social Learning', Third Version

    Open AccessAli Jadbabaie, Pooya Molavi et al.PREPRINTSSRN Electronic Journal2011

  • Non-Bayesian Social Learning, Second Version

    Open AccessAli Jadbabaie, Alvaro Sandroni et al.ARTICLESSRN Electronic Journal2010