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Data Science and AI in Psychology
Conditional Remix & Share Permitted
CC BY-NC-SA
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Data Science and AI in Psychology is an interactive eTextbook that provides an introduction to data science, big data, and machine learning in psychology. It covers current trends in data science and big data in the field of psychology (Chapter 1), applications of AI in the field of psychology (Chapter 2), the psychology of data visualization (Chapter 3), data ethics (Chapter 4), an introduction to how machines learn (Chapter 5), a hands-on guide for reading and critiquing machine learning research articles that are relevant to psychological topics (Chapters 6 and 7), and an introduction to coding in Python (Chapter 8). This eTextbook also includes an introduction to ChatGPT and tips for using ChatGPT to assist with writing and coding without plagiarizing (Chapters 6 and 8). This is an interactive resource that provides students with opportunities to engage with their peers and develop critical thinking skills through problem-based, active learning.

Subject:
Computer Science
Psychology
Material Type:
Primary Source
Reading
Textbook
Author:
Sara Kien
Date Added:
05/23/2024
Learning Data Ethics for Open Data Sharing
Unrestricted Use
CC BY
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"Learning Data Ethics for Data Sharing" is an Open Educational Resource (OER) for library students, data librarians, or researchers interested in learning how to ethically share data into data repositories. Often DEIA topics are discussed in terms of data collection or in regards to public use of data; this work attempts to target responsible ethics at the process that is occurring while preparing to share data, with the goal of creating FAIR access to the data and reusability for future research.

Additional documentation is available at https://osf.io/cb3sa/.

Subject:
Applied Science
Information Science
Material Type:
Activity/Lab
Reading
Author:
Lynnee Argabright
Date Added:
11/28/2022