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Davis-Kean et al. link children's self-perceptions to their math and reading achievement

Yang and Mahajan examine how hurricanes impact migration to the US

Patrick and colleagues analyze high-intensity drinking among adolescents

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Pamela Smock elected to PAA Committee on Publications

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Next Brown Bag

Mon, Sept 11, 2017, noon:
Welcoming of Postdoctoral Fellows: Angela Bruns, Karra Greenberg, Sarah Seelye and Emily Treleaven

Post-doc fellowship in computational social science for summer or fall 2017, U-Penn

PSC Announcement

01/24/2017

The Social Dynamics Initiative of the Wharton School of the University of Pennsylvania is seeking applicants for a computational social science postdoctoral fellowship position. Applicants should have the skills to apply recent advances in natural language processing and textual analysis to problems in behavioral science. Examples include what makes online content viral, why some risk messages are more effective, why some products and ideas catch on, and what drives cultural evolution. The goal is to help bridge the gap between behavioral scientists studying the drivers (and consequences) of human behavior and computer scientists who have the toolkit to parse these large quantities of data.

Applicants will work with Professors Jonah Berger and Robert Meyer, as well as other faculty on a variety of on-going projects in these areas, as well as be expected to undertake original research projects. Applicants are welcome from a variety of fields, including computer science, information science, psychology, economics, and others.

Priority will be given to applicants with an active interest in applying theories and methods of large-scale data analysis, including machine learning and natural language processing, to understanding human behavior.

Starting date: Summer or Fall 2017 Length: 1 year (with possibility of renewal)

How to apply: Please email your CV, 1 or 2 representative publications or working papers, and a letter of recommendation to mktg-recruitment@wharton.upenn.edu. Applicants must have a PhD (expected completion by June 30, 2017 is acceptable) from an accredited institution. Applications will be considered on a rolling basis, so please apply soon if interested.

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