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Showing 1–15 of 15 results
Advanced filters: Author: Sandy Pentland Clear advanced filters

  • Here, the authors propose a scalable framework for cross-domain identity matching based on bursty dynamics, revealing how coordinated actions propagate across networks.

    • Shahar Somin
    • Keeley Erhardt
    • Alex ‘Sandy’ Pentland
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-11

  • The Data Provenance Initiative audits over 1,800 text artificial intelligence (AI) datasets, analysing trends, permissions of use and global representation. It exposes frequent errors on several major data hosting sites and offers tools for transparent and informed use of AI training data.

    • Shayne Longpre
    • Robert Mahari
    • Sara Hooker
    ResearchOpen Access
    Nature Machine Intelligence
    Volume: 6, P: 975-987

  • This study compares urban activities by frequency and matches them with socioeconomic data in three US cities. It found that mobility patterns predict economic outputs but it is the infrequent activities (for example, going to French restaurants) that have the highest explanatory power.

    • Shenhao Wang
    • Yunhan Zheng
    • Alex ‘Sandy’ Pentland
    Research
    Nature Cities
    Volume: 1, P: 305-314

  • Mobility restrictions implemented to reduce the spread of COVID-19 have significantly impacted walking behavior. In this study, the authors integrated mobility data from mobile devices and area-level data to study the walking patterns of 1.62 million anonymous users in 10 US metropolitan areas.

    • Ruth F. Hunter
    • Leandro Garcia
    • Esteban Moro
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-9

  • Complex networks can be a useful tool to investigate problems in social science. Here the authors use game theory to establish a network model and then use a machine learning approach to characterize the role of nodes within a social network.

    • Yuan Yuan
    • Ahmad Alabdulkareem
    • Alex ‘Sandy’ Pentland
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-9

  • Understanding the behaviour of the machines powered by artificial intelligence that increasingly mediate our social, cultural, economic and political interactions is essential to our ability to control the actions of these intelligent machines, reap their benefits and minimize their harms.

    • Iyad Rahwan
    • Manuel Cebrian
    • Michael Wellman
    Reviews
    Nature
    Volume: 568, P: 477-486

  • The inhomogeneity of vaccine uptake has many roots from social, political to economic and analysing the consequent impact on virus proliferation is complex. Here, using epidemiological models based on census block group level mobility data the authors demonstrate that a targeted increase of vaccinations for critical locations results in a greater reduction in COVID-19 cases.

    • Yuan Yuan
    • Eaman Jahani
    • Alex Sandy Pentland
    ResearchOpen Access
    Communications Physics
    Volume: 6, P: 1-9

  • The breadcrumbs we leave behind when using our mobile phones—who somebody calls, for how long, and from where—contain unprecedented insights about us and our societies. Researchers have compared the recent availability of large-scale behavioral datasets, such as the ones generated by mobile phones, to the invention of the microscope, giving rise to the new field of computational social science.

    • Yves-Alexandre de Montjoye
    • Sébastien Gambs
    • Linus Bengtsson
    Comments & OpinionOpen Access
    Scientific Data
    Volume: 5, P: 1-6