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Representation of science in the media
The goal of this research project is to understand how scientific findings - beginning with but not limited to psychology and cognitive science - are reported and understood by laypeople, journalists, and researchers. Through online studies, we will test what participants can remember about findings they have read about, what kinds of sources are deemed credible, and if there are findings more frequently mentioned than others.
Student researchers will work closely with one graduate student in Cognition and two postdoctoral researchers. For this project, applicants should be either already proficient or interested in the design of semi-automated online experiments using Qualtrics and Amazon's Mechanical Turk. Responsibilities will also include searching for, reading, and coding academic papers and news articles about various scientific findings.
FIVE REQUIRED SKILLS: 1) A strong computational background. 2) Experience programming in Python or R (preferably using jupyter notebooks). 3) Experience with statistics and/or machine learning. 4) A strong interest in cognitive science or scientific communication. 5) Strong attention to detail.
In your application, please also specify whether you are able to continue working in the fall and/or the following spring or summer. ADDITIONAL PREFERRED EXPERIENCE (NOT REQUIRED): 1) Experience in another scientific domain. 2) Having taken "Computational Models of Cognition". 3) Experience with Adobe InDesign, LaTeX, and data visualization.
How to apply: submit an application through URAP (http://urapprojects.berkeley.edu/) to the lab of Tom Griffiths (Computational Models of Cognition) and mention your interest in this specific project. If you have any questions or concerns, email firstname.lastname@example.org.
Posted Jan 8, 2017
Contact: Lisa Johnson at email@example.com & Ignacio Saez at firstname.lastname@example.org
How to apply: If interested, please submit your CV/Resume to both Lisa and Ignacio.
Deadline: Until filled