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Erschienen in:
Introduction—What is This Guide About? Kapitel lesen Erstes Kapitel lesen

2023 | OriginalPaper | Buchkapitel

19. Data Science for Social Science and Digital Humanities Research

verfasst von : Orit Hazzan, Koby Mike

Erschienen in: Guide to Teaching Data Science

Verlag: Springer International Publishing

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Abstract

In this chapter and in Chap. 20, we focus on the third component of the MERge model—research, and describe two data science teaching frameworks for researchers: this chapter addresses researchers in social science and digital humanities; Chap. 20 addresses researchers in science and engineering. Following a discussion of the relevancy of data science for social science and digital humanities researchers (Sect. 19.2), we describe a data science bootcamp designed for researchers in those areas (Sect. 19.3). Then, we present the curriculum of a year-long specialization program in data science for graduate psychology students that was developed based on this bootcamp (Sect. 19.4). Finally, we discuss the data science teaching frameworks for researchers in social science and digital humanities from motivational perspectives (Sect. 19.5) and conclude by illuminating the importance of an interdisciplinary approach in designing data science curricula for application domain specialists (Sect. 19.6).

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Vorheriges Kapitel Data Science Teacher Preparation: The “Method for Teaching Data Science” Course
Nächstes Kapitel Data Science for Research on Human Aspects of Science and Engineering
Fußnoten
1
This chapter is based on the following papers:
© 2022 IEEE. Reprinted, with permission, from Mike et al. (2021).
© 2022 IEEE. Reprinted, with permission, from Mike and Hazzan (2022).
 
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Metadaten
Titel
Data Science for Social Science and Digital Humanities Research
verfasst von
Orit Hazzan
Koby Mike
Copyright-Jahr
2023
Buch
Guide to Teaching Data Science

Print ISBN: 978-3-031-24757-6

Electronic ISBN: 978-3-031-24758-3

Copyright-Jahr: 2023

DOI
https://doi.org/10.1007/978-3-031-24758-3_19

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