scispace - formally typeset
Search or ask a question
Institution

Union College

EducationSchenectady, New York, United States
About: Union College is a education organization based out in Schenectady, New York, United States. It is known for research contribution in the topics: Population & Politics. The organization has 1721 authors who have published 3108 publications receiving 88161 citations.


Papers
More filters
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
14 Nov 2002-Nature
TL;DR: A record of sedimentation in Laguna Pallcacocha, southern Ecuador, which is strongly influenced by ENSO variability, and covers the past 12,000 years continuously is presented, finding that changes on a timescale of 2–8 years become more frequent over the Holocene until about 1,200 years ago, and then decline towards the present.
Abstract: The variability of El Nino/Southern Oscillation (ENSO) during the Holocene epoch, in particular on millennial timescales, is poorly understood. Palaeoclimate studies have documented ENSO variability for selected intervals in the Holocene, but most records are either too short or insufficiently resolved to investigate variability on millennial scales1,2,3. Here we present a record of sedimentation in Laguna Pallcacocha, southern Ecuador, which is strongly influenced by ENSO variability, and covers the past 12,000 years continuously. We find that changes on a timescale of 2–8 years, which we attribute to warm ENSO events, become more frequent over the Holocene until about 1,200 years ago, and then decline towards the present. Periods of relatively high and low ENSO activity, alternating at a timescale of about 2,000 years, are superimposed on this long-term trend. We attribute the long-term trend to orbitally induced changes in insolation, and suggest internal ENSO dynamics as a possible cause of the millennial variability. However, the millennial oscillation will need to be confirmed in other ENSO proxy records.

1,534 citations

Journal ArticleDOI
TL;DR: The process of increasing student exposure to computational thinking in K-12 is complex, requiring systemic change, teacher engagement, and development of signifi cant resources.
Abstract: The process of increasing student exposure to computational thinking in K-12 is complex, requiring systemic change, teacher engagement, and development of signifi cant resources Collaboration with the computer science education community is vital to this effort

1,257 citations

Proceedings Article
12 Feb 2017
TL;DR: ConceptNet as mentioned in this paper is a knowledge graph that connects words and phrases of natural language with labeled edges to represent the general knowledge involved in understanding language, improving natural language applications by allowing the application to better understand the meanings behind the words people use.
Abstract: Machine learning about language can be improved by supplying it with specific knowledge and sources of external information. We present here a new version of the linked open data resource ConceptNet that is particularly well suited to be used with modern NLP techniques such as word embeddings. ConceptNet is a knowledge graph that connects words and phrases of natural language with labeled edges. Its knowledge is collected from many sources that include expert-created resources, crowd-sourcing, and games with a purpose. It is designed to represent the general knowledge involved in understanding language, improving natural language applications by allowing the application to better understand the meanings behind the words people use. When ConceptNet is combined with word embeddings acquired from distributional semantics (such as word2vec), it provides applications with understanding that they would not acquire from distributional semantics alone, nor from narrower resources such as WordNet or DBPedia. We demonstrate this with state-of-the-art results on intrinsic evaluations of word relatedness that translate into improvements on applications of word vectors, including solving SAT-style analogies.

1,136 citations

Journal ArticleDOI
Aysu Okbay1, Jonathan P. Beauchamp2, Mark Alan Fontana3, James J. Lee4  +293 moreInstitutions (81)
26 May 2016-Nature
TL;DR: In this article, the results of a genome-wide association study (GWAS) for educational attainment were reported, showing that single-nucleotide polymorphisms associated with educational attainment disproportionately occur in genomic regions regulating gene expression in the fetal brain.
Abstract: Educational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals. Here we report the results of a genome-wide association study (GWAS) for educational attainment that extends our earlier discovery sample of 101,069 individuals to 293,723 individuals, and a replication study in an independent sample of 111,349 individuals from the UK Biobank. We identify 74 genome-wide significant loci associated with the number of years of schooling completed. Single-nucleotide polymorphisms associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural development. Our findings demonstrate that, even for a behavioural phenotype that is mostly environmentally determined, a well-powered GWAS identifies replicable associated genetic variants that suggest biologically relevant pathways. Because educational attainment is measured in large numbers of individuals, it will continue to be useful as a proxy phenotype in efforts to characterize the genetic influences of related phenotypes, including cognition and neuropsychiatric diseases.

1,102 citations


Authors

Showing all 1740 results

NameH-indexPapersCitations
George Davey Smith2242540248373
Christopher George Tully1421843111669
Lucas Taylor131148588891
Gy L. Bencze9575936082
Steven L. Suib8986234189
Robert R. Alfano86125233960
Mark Q. Martindale6923318809
M. T. Dova6836416157
Richard G. Luthy6523215303
Wanqing Chen5523735456
Alan B. Bolten5417010331
Robert G. McMurray5319511623
Jie He5348423237
Christopher F. Chabris5112118792
Grant E. Brown501427111
Network Information
Related Institutions (5)
Arizona State University
109.6K papers, 4.4M citations

89% related

Pennsylvania State University
196.8K papers, 8.3M citations

88% related

University of Illinois at Urbana–Champaign
225.1K papers, 10.1M citations

88% related

University of California, Santa Barbara
80.8K papers, 4.6M citations

87% related

University of Texas at Austin
206.2K papers, 9M citations

87% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20235
202224
202192
202099
2019105
2018118