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Non-Academic Careers for Quantitative Social Scientists A Practical Guide to Maximizing Your Skills and Opportunities
Title
Non-Academic Careers for Quantitative Social Scientists [electronic resource] : A Practical Guide to Maximizing Your Skills and Opportunities / edited by Natalie Jackson.
ISBN
9783031350368
Edition
1st ed. 2023.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2023.
Physical Description
1 online resource (VI, 208 p.) 1 illus.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This book is a guide to non-academic careers for quantitative social scientists. Written by social science PhDs working in large corporations, non-profits, tech startups, and alt-academic positions in higher education, this book consists of more than a dozen chapters on various topics on finding rewarding careers outside the academy. Chapters are organized in three parts. Part I provides an introduction to the types of jobs available to social science PhDs, where those jobs can be found, and what the work looks like in those positions. Part II creates a guide for social science PhDs on how to set themselves up for such careers, including navigating the academic world of graduate school while contemplating non-academic options, and selling their academic experience in a non-academic setting. Part III offers perspectives on timelines for making non-academic career decisions, lifestyle differences between academia and non-academic jobs, and additional resources for those considering a non-academic route. Providing valuable insight on non-academic careers from those who have successfully made the transition, this volume will be an asset to graduate students, advisors, and recent PhDs, in quantitative social science. .
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
September 19, 2023
Series
Texts in Quantitative Political Analysis,
Contents
Chapter 1. Introduction: Surveying the Landscape of Industry Jobs
Section 1: Career Paths
Chapter 2. Data Science Needs You, Social Scientist
Chapter 3. How to Thrive in the Data Industry Without a Traditional STEM Background
Chapter 4. Alt-Academic Career Paths
Chapter 5. From the Academy to Tech Startups: Considerations and Opportunities
Chapter 6. Opportunities and Pathways in Survey Research
Chapter 7. Market Research with a PhD in Sociology
Chapter 8. Say Yes to Cultivating Your Future
Chapter 9. Working in Government
Chapter 10. Working in Quasi-Governmental Research
Chapter 11. Proudly Disinterested: Public Administration and Social Science Ph.D. Programs
Chapter 12. Applying the Transferrable Skill Set of a Ph.D. to Emerging Data Fieldsx
Section 2: Advice for Non-Academic Job Success
Chapter 13. How to Market Yourself for Careers Beyond the Professoriate
Chapter 14. Beyond Visa Sponsorship: Navigating the Job Market as An Immigrant
Chapter 15. So You Want to Work in Tech. How Do You Make the Leap?
Chapter 16. Perspectives on Rapid Antigen Tests for Downstream Validation and Development of Theranostics
Chapter 17. Kill, Pivot, Continue: Tips and Tricks for Career Transition Away From Academe
Chapter 18. Presenting Academic Research in the Interview Process and Beyond: A Conversation Between Colleagues
Chapter 19. Thriving in a Non-Academic Environment
Chapter 20. You Got Your First Job, What About Your Second? Conversations with Women Social Scientists on Landing Multiple Non-Academic Jobs
Chapter 21. Staying Academically Relevant in a Non-Academic Career.-.
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