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Alex “sandy” Pentland

Biographic Data

ID4274490
NAMEAlex “sandy” Pentland
GIVEN NAMESAlex “sandy”
FAMILY NAMEPentland
SIGNATUREPENTLAND A “S
AFFILIATIONSMIT Media Lab Cambridge Massachusetts U.S.A.
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS11
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2023
H-INDEX2
  • Art and the science of generative AI

    Open Access•Ziv Epstein, Sudi Nurtini et al.•ARTICLE•Science•2023

    Understanding shifts in creative work will help guide AI’s impact on the media ecosystem

  • Bayesian collective learning emerges from heuristic social learning

    Open Access•P M Krafft, Erez Shmueli et al.•ARTICLE•Cognition•2021

    Researchers across cognitive science, economics, and evolutionary biology have studied the ubiquitous phenomenon of social learning-the use of information about other people's decisions to make your own. Decision-making with the benefit of the accumulated knowledge of a community can result in superior decisions compared to what people can achieve alone. However, groups of people face two coupled challenges in accumulating knowledge to make good …

  • Winning Models for Grade Point Average, Grit, and Layoff in the Fragile Families Challenge

    Open Access•Daniel E Rigobon, Eaman Jahani et al.•ARTICLE•Socius Sociological Research for…•2019•Cited by: 4•References: 18

    In this article, the authors discuss and analyze their approach to the Fragile Families Challenge. The data consisted of more than 12,000 features (covariates) about the children and their parents, schools, and overall environments from birth to age 9. The authors' modular and collaborative approach parallelized prediction tasks and relied primarily on existing data science techniques, including (1) data preprocessing: elimination of low variance…

  • Sociometric badges

    Open Access•Taemie Kim, Erin Mcfee et al.•ARTICLE•Journal of Organizational Behavior•2012•Cited by: 7•References: 3

    This article introduces sociometric badges as a research tool that captures with great accuracy fine‐scale speech patterns and body movements among a group of individuals at a scale that heretofore has been impossible in groups and teams studies. Such a tool offers great potential for studying the changing ecology of team structures and new modes of collaboration. Team boundaries are blurring as members disperse across multiple cultures, convene …

  • Sociometric badges

    Open Access•Taemie Kim, Erin Mcfee et al.•ARTICLE•Journal of Organizational Behavior•2012•Cited by: 7•References: 3

    This article introduces sociometric badges as a research tool that captures with great accuracy fine‐scale speech patterns and body movements among a group of individuals at a scale that heretofore has been impossible in groups and teams studies. Such a tool offers great potential for studying the changing ecology of team structures and new modes of collaboration. Team boundaries are blurring as members disperse across multiple cultures, convene …

  • Winning Models for Grade Point Average, Grit, and Layoff in the Fragile Families Challenge

    Open Access•Daniel E Rigobon, Eaman Jahani et al.•ARTICLE•Socius Sociological Research for…•2019•Cited by: 4•References: 18

    In this article, the authors discuss and analyze their approach to the Fragile Families Challenge. The data consisted of more than 12,000 features (covariates) about the children and their parents, schools, and overall environments from birth to age 9. The authors' modular and collaborative approach parallelized prediction tasks and relied primarily on existing data science techniques, including (1) data preprocessing: elimination of low variance…

  • Sociometric badges

    Open Access•Taemie Kim, Erin Mcfee et al.•ARTICLE•Journal of Organizational Behavior•2012•Cited by: 7•References: 3

    This article introduces sociometric badges as a research tool that captures with great accuracy fine‐scale speech patterns and body movements among a group of individuals at a scale that heretofore has been impossible in groups and teams studies. Such a tool offers great potential for studying the changing ecology of team structures and new modes of collaboration. Team boundaries are blurring as members disperse across multiple cultures, convene …

  • Winning Models for Grade Point Average, Grit, and Layoff in the Fragile Families Challenge

    Open Access•Daniel E Rigobon, Eaman Jahani et al.•ARTICLE•Socius Sociological Research for…•2019•Cited by: 4•References: 18

    In this article, the authors discuss and analyze their approach to the Fragile Families Challenge. The data consisted of more than 12,000 features (covariates) about the children and their parents, schools, and overall environments from birth to age 9. The authors' modular and collaborative approach parallelized prediction tasks and relied primarily on existing data science techniques, including (1) data preprocessing: elimination of low variance…

  • Bayesian collective learning emerges from heuristic social learning

    Open Access•P M Krafft, Erez Shmueli et al.•ARTICLE•Cognition•2021

    Researchers across cognitive science, economics, and evolutionary biology have studied the ubiquitous phenomenon of social learning-the use of information about other people's decisions to make your own. Decision-making with the benefit of the accumulated knowledge of a community can result in superior decisions compared to what people can achieve alone. However, groups of people face two coupled challenges in accumulating knowledge to make good …

  • Art and the science of generative AI

    Open Access•Ziv Epstein, Sudi Nurtini et al.•ARTICLE•Science•2023

    Understanding shifts in creative work will help guide AI’s impact on the media ecosystem

Computer Science (3 works) · Artificial Intelligence (2 works) · Machine learning (2 works) · Mathematics (2 works) · Psychology (2 works) · Agriculture and Agroindustry Studies (1 work) · Artificial Intelligence (1 work) · Bayesian inference (1 work) · Bayesian probability (1 work) · Bounded rationality (1 work)

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