Literature DB >> 34194043

Meaningful measures of human society in the twenty-first century.

David Lazer1,2, Eszter Hargittai3, Deen Freelon4, Sandra Gonzalez-Bailon5, Kevin Munger6, Katherine Ognyanova7, Jason Radford8.   

Abstract

Science rarely proceeds beyond what scientists can observe and measure, and sometimes what can be observed proceeds far ahead of scientific understanding. The twenty-first century offers such a moment in the study of human societies. A vastly larger share of behaviours is observed today than would have been imaginable at the close of the twentieth century. Our interpersonal communication, our movements and many of our everyday actions, are all potentially accessible for scientific research; sometimes through purposive instrumentation for scientific objectives (for example, satellite imagery), but far more often these objectives are, literally, an afterthought (for example, Twitter data streams). Here we evaluate the potential of this massive instrumentation-the creation of techniques for the structured representation and quantification-of human behaviour through the lens of scientific measurement and its principles. In particular, we focus on the question of how we extract scientific meaning from data that often were not created for such purposes. These data present conceptual, computational and ethical challenges that require a rejuvenation of our scientific theories to keep up with the rapidly changing social realities and our capacities to capture them. We require, in other words, new approaches to manage, use and analyse data.

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Year:  2021        PMID: 34194043     DOI: 10.1038/s41586-021-03660-7

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  21 in total

1.  Big data. The parable of Google Flu: traps in big data analysis.

Authors:  David Lazer; Ryan Kennedy; Gary King; Alessandro Vespignani
Journal:  Science       Date:  2014-03-14       Impact factor: 47.728

2.  Population flow drives spatio-temporal distribution of COVID-19 in China.

Authors:  Jayson S Jia; Xin Lu; Yun Yuan; Ge Xu; Jianmin Jia; Nicholas A Christakis
Journal:  Nature       Date:  2020-04-29       Impact factor: 49.962

3.  Dissecting racial bias in an algorithm used to manage the health of populations.

Authors:  Ziad Obermeyer; Brian Powers; Christine Vogeli; Sendhil Mullainathan
Journal:  Science       Date:  2019-10-25       Impact factor: 47.728

4.  Quantitative analysis of culture using millions of digitized books.

Authors:  Jean-Baptiste Michel; Yuan Kui Shen; Aviva Presser Aiden; Adrian Veres; Matthew K Gray; Joseph P Pickett; Dale Hoiberg; Dan Clancy; Peter Norvig; Jon Orwant; Steven Pinker; Martin A Nowak; Erez Lieberman Aiden
Journal:  Science       Date:  2010-12-16       Impact factor: 47.728

5.  Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19.

Authors:  Alberto Aleta; David Martín-Corral; Ana Pastore Y Piontti; Marco Ajelli; Maria Litvinova; Matteo Chinazzi; Natalie E Dean; M Elizabeth Halloran; Ira M Longini; Stefano Merler; Alex Pentland; Alessandro Vespignani; Esteban Moro; Yamir Moreno
Journal:  Nat Hum Behav       Date:  2020-08-05

6.  Characterizing the Google Books Corpus: Strong Limits to Inferences of Socio-Cultural and Linguistic Evolution.

Authors:  Eitan Adam Pechenick; Christopher M Danforth; Peter Sheridan Dodds
Journal:  PLoS One       Date:  2015-10-07       Impact factor: 3.240

7.  Understanding and misunderstanding randomized controlled trials.

Authors:  Angus Deaton; Nancy Cartwright
Journal:  Soc Sci Med       Date:  2017-12-25       Impact factor: 5.379

8.  Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study.

Authors:  Hamada S Badr; Hongru Du; Maximilian Marshall; Ensheng Dong; Marietta M Squire; Lauren M Gardner
Journal:  Lancet Infect Dis       Date:  2020-07-01       Impact factor: 71.421

9.  Exposure to news grows less fragmented with an increase in mobile access.

Authors:  Tian Yang; Sílvia Majó-Vázquez; Rasmus K Nielsen; Sandra González-Bailón
Journal:  Proc Natl Acad Sci U S A       Date:  2020-10-30       Impact factor: 11.205

10.  The effect of human mobility and control measures on the COVID-19 epidemic in China.

Authors:  Moritz U G Kraemer; Chia-Hung Yang; Bernardo Gutierrez; Chieh-Hsi Wu; Brennan Klein; David M Pigott; Louis du Plessis; Nuno R Faria; Ruoran Li; William P Hanage; John S Brownstein; Maylis Layan; Alessandro Vespignani; Huaiyu Tian; Christopher Dye; Oliver G Pybus; Samuel V Scarpino
Journal:  Science       Date:  2020-03-25       Impact factor: 47.728

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  1 in total

1.  Digital data donations: A quest for best practices.

Authors:  Jakob Ohme; Theo Araujo
Journal:  Patterns (N Y)       Date:  2022-04-08
  1 in total

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