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DTSTART;TZID=America/Los_Angeles:20140210T000000
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DTSTAMP:20201013T005134Z
CREATED:20200922T215847Z
LAST-MODIFIED:20201013T005134Z
UID:4266-1391990400-1391990400@bec.ucla.edu
SUMMARY:Kirk Lohmueller - Discovering Recent Human History and Natural Selection from Genetic Variation Data
DESCRIPTION:Kirk Lohmueller: UCLA Department of Ecology and Evolutionary BiologyIt is commonly quoted that any two humans are identical at 99.9% of their three billion DNA letters.  However\, this statement also means that there are roughly three million positions where any two genomes are different.  Many such variants have been accumulating throughout hundreds of thousands of years of human evolution and provide a record of human history.  Additionally\, many of these variants acting together will affect how many children an individual will have or may contribute to the risk of common diseases. Here I will describe two projects aimed at learning about human history and natural selection from genetic variation data. First\, through the analysis of genetic variation in the coding regions of genes obtained from 1500 Han Chinese and Danish individuals\, I find evidence for extreme\, recent\, population growth in both populations. However\, this growth appears to have been greater in the Han Chinese than in the Danes. The second project is based on the analysis of genetic diversity on the human Y chromosome. We find that genetic diversity is substantially lower than expected on this chromosome. Sex-biased demographic processes throughout human history cannot\, by themselves\, explain this reduction in genetic diversity. Rather\, natural selection removing deleterious mutations from nearly 4Mb of the Y chromosome\, or natural selection increasing the frequency of beneficial mutations is required to explain the data.
URL:https://bec.ucla.edu/event/kirk-lohmueller-discovering-recent-human-history-and-natural-selection-from-genetic-variation-data/
CATEGORIES:Past Presentation,Presentation
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DTSTART;TZID=America/Los_Angeles:20140224T000000
DTEND;TZID=America/Los_Angeles:20140224T000000
DTSTAMP:20201013T005134Z
CREATED:20200922T215848Z
LAST-MODIFIED:20201013T005134Z
UID:4267-1393200000-1393200000@bec.ucla.edu
SUMMARY:Morteza Dehghani - #morality in 140 Characters: Examining Moral Rhetoric in Text
DESCRIPTION:Morteza Dehghani: USC Brain and Creativity Institute\, ARTIS Research FellowThe availability of vast and seemingly insurmountable volumes of human-related data has provided an unprecedented opportunity to study human cognition with range and detail previously not imaginable. An enormous amount of such data\, however\, is in the form of human generated text\, and cannot be analyzed directly. As a result\, there has been rapid developments in automated text analysis methods focused on measuring psychological and demographic properties. In this talk\, I will present a computational text analysis technique for tracking and measuring transformations in moral concerns with regards to different social-cultural issues\, and for examining the moral dimensions of different debates using text. This technique uses Latent Semantic Analysis to compute the semantic similarity between concepts of interest and moral keywords taken from the Moral Foundation Dictionary (Graham\, Haidt & Nosek\, 2009). I will specifically focus on analyzing Twitter data regarding the 2013 federal government shutdown. Our results demonstrate that using moral loadings of tweets we can make various accurate predictions about Twitter users and communities.
URL:https://bec.ucla.edu/event/morteza-dehghani-morality-in-140-characters-examining-moral-rhetoric-in-text/
CATEGORIES:Past Presentation,Presentation
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