Editors:
Provides a guide to non-academic careers for quantitative social scientists
Written by industry insiders for students and advisors
Offers strategies for applying the quantitative research skill set in tech, non-profits, and the alt-ac space
Part of the book series: Texts in Quantitative Political Analysis (TQPA)
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Table of contents (21 chapters)
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Front Matter
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Career Paths
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Front Matter
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Advice for Non-academic Job Success
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Front Matter
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About this book
Keywords
- Data Science
- Non-academic Jobs
- PhD training
- Employment for social science PhDs
- Social science jobs
- Alt-academic jobs
Editors and Affiliations
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Research Consultant, District of Columbia, USA
Natalie Jackson
About the editor
Natalie Jackson is a research and analytics consultant based in Washington, DC, US. She has held senior and management positions in media, academia, and nonprofit organizations. Most recently, she was the Director of Research at the Public Religion Research Institute (PRRI). Natalie received her PhD in political science from the University of Oklahoma and was a postdoctoral associate at the Duke University Initiative on Survey Methodology. Her work has appeared in peer-reviewed journals Electoral Studies and Social Science Quarterly, as well as in several edited volumes.
Bibliographic Information
Book Title: Non-Academic Careers for Quantitative Social Scientists
Book Subtitle: A Practical Guide to Maximizing Your Skills and Opportunities
Editors: Natalie Jackson
Series Title: Texts in Quantitative Political Analysis
DOI: https://doi.org/10.1007/978-3-031-35036-8
Publisher: Springer Cham
eBook Packages: Political Science and International Studies, Political Science and International Studies (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-35035-1Published: 15 August 2023
Softcover ISBN: 978-3-031-35038-2Due: 29 August 2024
eBook ISBN: 978-3-031-35036-8Published: 14 August 2023
Series ISSN: 2730-9614
Series E-ISSN: 2730-9622
Edition Number: 1
Number of Pages: VI, 208
Number of Illustrations: 1 b/w illustrations
Topics: Political Science, Statistics for Social Sciences, Humanities, Law, Statistics for Business, Management, Economics, Finance, Insurance