Modern Stochastics: Theory and Applications

Submit your article Information Webinars About journal

Journal home
To appear
Current issue
All issues
More
Journal home To appear Current issue All issues

Journals: Modern Stochastics: Theory and Applications

Detailed search

Journals

Title

Author

Types

Abstract

Keywords

Published

Pages

Volumes

Issues

DOI

Affiliation

Classifications

Search results 148

Order by:

Select: All None Download:

With supplement

Rokas Author

https://doi.org/10.12345/this_is_a_test99888bababa

Pub. online: 12 Jan 2026 Type: Article

Journal: Modern Stochastics: Theory and Applications (2025): YY2025, pp. 1–2

Abstract

With supplement

Test abstract spec. symb. html encode

https://doi.org/10.12345/12987324987432-test

Pub. online: 14 Jan 2025 Type: Article

Open Access

Journal: Modern Stochastics: Theory and Applications (2025): YY2025

Abstract

By its nature, data science uses ideas and methodologies from computer science and statistics, along with field-specific knowledge, to describe, learn and predict. Recently, storytelling has been highlighted as an important extension of more traditional data science skills such as coding and modeling. Three courses in our new Master in Data Science and Analytic Storytelling program were designed to include interdisciplinary modules, mainly taught by faculty in storytelling-related disciplines, such as Communication and Art & Design. These courses were PDAT 622: Narrative, Argument, and Persuasion in Data Science; PDAT 624: Principles of Design in Data Visualization; and PDAT 625: Big Data Ethics and Security.

Our first cohort serves as a natural case study, allowing us to reflectively analyze our materials and an informal student survey to explore the effects of interdisciplinarity in these novel courses. Results of the student survey show that students generally found value in these interdisciplinary course components, especially in course “signature assignments,” which allow students to actively engage with course content while reinforcing technical skills from previous courses. Examples of these signature assignments are presented in this paper’s supplementary materials.

proofs