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A blog focusing on the use of data science to predict the evolution of rituals and transformation of Israel's 2023 social protest is presented.

This article presents the different contexts and definitions of the concept of data science. A brief look into data science as a science, a discipline, as a research paradigm, as a research method, as a workflow and as a profession are presented. The authors detail the challenges in describing data science in one manner since it can be all of these distinct things.

The article presents a couple of blog posts focusing on the topics of machine learning within the context of data science and questions over the identity of the first computer programmer and featured on this journal's website located at https://cacm.acm.org.

The authors argue in favor of the establishment of a scholarly periodical dedicated to interdisciplinary data science education, and propose calling it "The Interdisciplinary Journal of Data Science Education" (IJDSE). According to the authors, a void exists for an exclusive journal about data science education. The authors describe the motivation for a new journal, the target audience, and the scope of the proposed journal including machine learning, artificial intelligence, and data mining.

The authors discuss abstraction as a significant skill in computer science (CS) and software engineering (SE) and whether abstraction skills are assessable. The authors argue that directly querying experts on whether abstraction are assessable would not produce a clear response, and propose a set of survey question patterns to assess abstraction skills.

The author, a soft skills computer science (CS) classroom teacher, discusses her experiences teaching a soft skills class online. She discusses the advantages of what are termed breakout rooms within the online communications tool Zoom. The author discusses the benefits and drawbacks to online learning and face-to-face (F2F) learning.

Software organizations face challenges when trying to recruit highly competent software practitioners who can successfully participate in and contribute to a cooperative working environment. This article suggests-based on the presented research conducted in a large international communication company-that recruiting practitioners with high levels of self-efficacy can contribute to the organization on both the individual and team levels. This article also describes the research and its findings and discusses specific recommendations based on the research. [ABSTRACT FROM AUTHOR]

The article explores how data thinking can can be incorporated into computer science education. Particular focus is given to data science, which the authors describe as a new research and applications field that is comprised of computer science, mathematics, statistics and real-world domain knowledge. The importance of understanding data and data thinking in the 21st century is also discussed.