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Book Reviews

Bio: Book Reviews is an academic researcher. The author has contributed to research in topics: Human intelligence & Chalcolithic. The author has an hindex of 8, co-authored 18 publications receiving 495 citations.

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Journal ArticleDOI
29 Oct 2010-Science
TL;DR: A psychometric methodology for quantifying a factor termed “collective intelligence” (c), which reflects how well groups perform on a similarly diverse set of group problem-solving tasks, and finds converging evidence of a general collective intelligence factor that explains a group’s performance on a wide variety of tasks.
Abstract: Psychologists have repeatedly shown that a single statistical factor—often called “general intelligence”— emerges from the correlations among people's performance on a wide variety of cognitive tasks. But no one has systematically examined whether a similar kind of “collective intelligence” exists for groups of people. In two studies with 699 individuals, working in groups of two to five, we find converging evidence of a general collective intelligence factor that explains a group's performance on a wide variety of tasks. This “c factor” is not strongly correlated with the average or maximum individual intelligence of group members but is correlated with the average social sensitivity of group members, the equality in distribution of conversational turn-taking, and the proportion of females in the group. As research, management, and many other kinds of tasks are increasingly accomplished by groups—both those working face-to-face and "virtually"(1‐3)—it is becoming even more important to understand the determinants of group

1,941 citations

Journal ArticleDOI
James J. Lee1, Robbee Wedow2, Aysu Okbay3, Edward Kong4, Omeed Maghzian4, Meghan Zacher4, Tuan Anh Nguyen-Viet5, Peter Bowers4, Julia Sidorenko6, Julia Sidorenko7, Richard Karlsson Linnér3, Richard Karlsson Linnér8, Mark Alan Fontana9, Mark Alan Fontana5, Tushar Kundu5, Chanwook Lee4, Hui Li4, Ruoxi Li5, Rebecca Royer5, Pascal Timshel10, Pascal Timshel11, Raymond K. Walters12, Raymond K. Walters4, Emily A. Willoughby1, Loic Yengo6, Maris Alver7, Yanchun Bao13, David W. Clark14, Felix R. Day15, Nicholas A. Furlotte, Peter K. Joshi16, Peter K. Joshi14, Kathryn E. Kemper6, Aaron Kleinman, Claudia Langenberg15, Reedik Mägi7, Joey W. Trampush5, Shefali S. Verma17, Yang Wu6, Max Lam, Jing Hua Zhao15, Zhili Zheng6, Zhili Zheng18, Jason D. Boardman2, Harry Campbell14, Jeremy Freese19, Kathleen Mullan Harris20, Caroline Hayward14, Pamela Herd13, Pamela Herd21, Meena Kumari13, Todd Lencz22, Todd Lencz23, Jian'an Luan15, Anil K. Malhotra23, Anil K. Malhotra22, Andres Metspalu7, Lili Milani7, Ken K. Ong15, John R. B. Perry15, David J. Porteous14, Marylyn D. Ritchie17, Melissa C. Smart14, Blair H. Smith24, Joyce Y. Tung, Nicholas J. Wareham15, James F. Wilson14, Jonathan P. Beauchamp25, Dalton Conley26, Tõnu Esko7, Steven F. Lehrer27, Steven F. Lehrer28, Steven F. Lehrer29, Patrik K. E. Magnusson30, Sven Oskarsson31, Tune H. Pers11, Tune H. Pers10, Matthew R. Robinson6, Matthew R. Robinson32, Kevin Thom33, Chelsea Watson5, Christopher F. Chabris17, Michelle N. Meyer17, David Laibson4, Jian Yang6, Magnus Johannesson34, Philipp Koellinger3, Philipp Koellinger8, Patrick Turley12, Patrick Turley4, Peter M. Visscher6, Daniel J. Benjamin5, Daniel J. Benjamin28, David Cesarini33, David Cesarini28 
TL;DR: A joint (multi-phenotype) analysis of educational attainment and three related cognitive phenotypes generates polygenic scores that explain 11–13% of the variance ineducational attainment and 7–10% ofthe variance in cognitive performance, which substantially increases the utility ofpolygenic scores as tools in research.
Abstract: Here we conducted a large-scale genetic association analysis of educational attainment in a sample of approximately 1.1 million individuals and identify 1,271 independent genome-wide-significant SNPs. For the SNPs taken together, we found evidence of heterogeneous effects across environments. The SNPs implicate genes involved in brain-development processes and neuron-to-neuron communication. In a separate analysis of the X chromosome, we identify 10 independent genome-wide-significant SNPs and estimate a SNP heritability of around 0.3% in both men and women, consistent with partial dosage compensation. A joint (multi-phenotype) analysis of educational attainment and three related cognitive phenotypes generates polygenic scores that explain 11-13% of the variance in educational attainment and 7-10% of the variance in cognitive performance. This prediction accuracy substantially increases the utility of polygenic scores as tools in research.

1,658 citations

Journal ArticleDOI
TL;DR: The findings support a domain-general view of WM capacity, in which executive-attention processes drive the broad predictive utility of WM span measures, and domain-specific storage and rehearsal processes relate more strongly to domain- specific aspects of complex cognition.
Abstract: A latent-variable study examined whether verbal and visuospatial working memory (WM) capacity measures reflect a primarily domain-general construct by testing 236 participants in 3 span tests each of verbal WM, visuospatial WM, verbal short-term memory (STM), and visuospatial STM, as well as in tests of verbal and spatial reasoning and general fluid intelligence (Gf). Confirmatory factor analyses and structural equation models indicated that the WM tasks largely reflected a domain-general factor, whereas STM tasks, based on the same stimuli as the WM tasks, were much more domain specific. The WM construct was a strong predictor of Gf and a weaker predictor of domain-specific reasoning, and the reverse was true for the STM construct. The findings support a domain-general view of WM capacity, in which executive-attention processes drive the broad predictive utility of WM span measures, and domain-specific storage and rehearsal processes relate more strongly to domain-specific aspects of complex cognition.

1,524 citations

Journal ArticleDOI
TL;DR: The genesis of the cumulative advantage/disadvantage perspective in studies of science, its initial articulation with structural-functionalism, and its expanding importance for gerontology are reviewed; its intellectual relevance for several other established theoretical paradigms in sociology, psychology, and economics is discussed.
Abstract: Age and cumulative advantage/disadvantage theory have obvious logical, theoretical, and empirical connections, because both are inherently and irreducibly related to the passage of time. Over the past 15 years, these connections have resulted in the elaboration and application of the cumulative advantage-disadvantage perspective in social gerontology, especially in relation to issues of heterogeneity and inequality. However, its theoretical origins, connections, and implications are not widely understood. This article reviews the genesis of the cumulative advantage/disadvantage perspective in studies of science, its initial articulation with structural-functionalism, and its expanding importance for gerontology. It discusses its intellectual relevance for several other established theoretical paradigms in sociology, psychology, and economics. On the basis of issues deriving from these perspectives and from the accumulating body of work on cumulative advantage and disadvantage, I identify several promising directions for further research in gerontology.

1,426 citations

Journal ArticleDOI
11 Jun 2015-Nature
TL;DR: In this paper, the authors generated genome-wide data from 69 Europeans who lived between 8,000-3,000 years ago by enriching ancient DNA libraries for a target set of almost 400,000 polymorphisms.
Abstract: We generated genome-wide data from 69 Europeans who lived between 8,000-3,000 years ago by enriching ancient DNA libraries for a target set of almost 400,000 polymorphisms. Enrichment of these positions decreases the sequencing required for genome-wide ancient DNA analysis by a median of around 250-fold, allowing us to study an order of magnitude more individuals than previous studies and to obtain new insights about the past. We show that the populations of Western and Far Eastern Europe followed opposite trajectories between 8,000-5,000 years ago. At the beginning of the Neolithic period in Europe, ∼8,000-7,000 years ago, closely related groups of early farmers appeared in Germany, Hungary and Spain, different from indigenous hunter-gatherers, whereas Russia was inhabited by a distinctive population of hunter-gatherers with high affinity to a ∼24,000-year-old Siberian. By ∼6,000-5,000 years ago, farmers throughout much of Europe had more hunter-gatherer ancestry than their predecessors, but in Russia, the Yamnaya steppe herders of this time were descended not only from the preceding eastern European hunter-gatherers, but also from a population of Near Eastern ancestry. Western and Eastern Europe came into contact ∼4,500 years ago, as the Late Neolithic Corded Ware people from Germany traced ∼75% of their ancestry to the Yamnaya, documenting a massive migration into the heartland of Europe from its eastern periphery. This steppe ancestry persisted in all sampled central Europeans until at least ∼3,000 years ago, and is ubiquitous in present-day Europeans. These results provide support for a steppe origin of at least some of the Indo-European languages of Europe.

1,332 citations