Richard McElreath explained

Birth Date:18 April 1973
Birth Place:Landstuhl, West Germany
Nationality:American
Field:Evolutionary anthropology
Work Institutions:Max Planck Institute for Evolutionary Anthropology
Alma Mater:Emory University (BS)
University of California, Los Angeles (PhD)
Doctoral Advisor:Robert Boyd
Thesis Title:Culture and ecology of Usangu, Tanzania
Thesis Url:https://catalog.library.ucla.edu/vwebv/holdingsInfo?bibId=4704080
Thesis Year:2001

Richard McElreath (born 18 April 1973) is an American professor of anthropology and a director of the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany.[1] [2] He is an author of the Statistical Rethinking applied Bayesian statistics textbook, among the first to largely rely on the Stan statistical environment, and the accompanying rethinking R language package.[3] [4]

He earned his B.S. at Emory University in 1995 and a Ph.D. in anthropology under Robert Boyd at the University of California, Los Angeles in 2001 with field research in Tanzania.[5] [6] [7]

Research

In 2001 to 2002 McElreath won a fellowship to work as a postdoctoral researcher studying bounded rationality at the Max Planck Institute under Gerd Gigerenzer. Since 2002 he is working for the University of California, Davis, teaching anthropology and conducting field work. He was awarded tenure (2006) and promoted to full professor (2014), holding the chair of the Evolutionary Anthropology department from 2014 to 2015. Since 2015 he is one of the directors at the Max Planck Institute for Evolutionary Anthropology.

His main research focus lies in the evolution of cultural behaviors. Expanding on his work in anthropology, he has also been researching the social dynamics of the replication crisis in science and contributing to statistical education.[8] [9] His work has been covered by professional and popular media, e.g. in Nature,[10] The Economist[11] Pacific Standard,[1] and The Atlantic.[12]

Selected publications

Books

Articles and chapters

See also

Notes and References

  1. Web site: Can Auditing Scientific Research Help Fix Its Reproducibility Crisis?. Chawla. Dalmeet Singh. 2018-06-05. Pacific Standard. en. 2019-03-08.
  2. News: Presented by Ian. Sample. produced by Sandra. Ferrari. 2019-06-17. The trouble with science - Science Weekly podcast. The Guardian. 30 March 2018. 0261-3077. www.theguardian.com.
  3. Sweet. Tracy M.. 2017-07-27. A Review of Statistical Rethinking: A Bayesian Course With Examples in R and Stan. Journal of Educational and Behavioral Statistics. en. 42. 1. 107–110. 10.3102/1076998616659752. 125035918. 1076-9986.
  4. Gelman. Andrew. Lee. Daniel. Guo. Jiqiang. 2015-10-01. Stan: A Probabilistic Programming Language for Bayesian Inference and Optimization. Journal of Educational and Behavioral Statistics. en. 40. 5. 530–543. 10.3102/1076998615606113. 220415167 . 1076-9986.
  5. Web site: Richard McElreath. www.mpg.de. en. 2019-03-08.
  6. Web site: Dept. of Human Behavior, Ecology and Culture Richard McElreath CV. www.eva.mpg.de. 2019-03-08.
  7. Web site: Richard McElreath - The Mathematics Genealogy Project. www.genealogy.math.ndsu.nodak.edu. 2019-03-08.
  8. Smaldino Paul E.. McElreath Richard. The natural selection of bad science. Royal Society Open Science. 3. 9. 160384. 10.1098/rsos.160384. 5043322. 27703703. 2016. 2016RSOS....360384S. 1605.09511.
  9. Smaldino. Paul E.. McElreath. Richard. 2015-08-26. Replication, Communication, and the Population Dynamics of Scientific Discovery. PLOS ONE. en. 10. 8. e0136088. 10.1371/journal.pone.0136088. 1932-6203. 4550284. 26308448. 2015PLoSO..1036088M. 1503.02780. free.
  10. Ball. Philip. 2016-11-16. The mathematics of science's broken reward system. Nature. 10.1038/nature.2016.20987. 185609227. 1476-4687.
  11. News: Incentive malus. 2016-09-24. The Economist. 2019-03-08. 0013-0613.
  12. Web site: The Inevitable Evolution of Bad Science. Yong. Ed. 2016-09-21. The Atlantic. en-US. 2019-03-08.