Buch, Englisch, Band 125, 190 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 318 g
Reihe: Studies in Big Data
Data Translators Across the Disciplines
Buch, Englisch, Band 125, 190 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 318 g
Reihe: Studies in Big Data
ISBN: 978-3-031-29939-1
Verlag: Springer Nature Switzerland
The use of data to guide action is growing. Even the public uses data to guide everyday decisions! How do we develop data acumen across a broad range of fields and varying levels of expertise? How do we foster the development of effective data translators? This book explores these questions, presenting an interdisciplinary collection of edited contributions across fields such as education, health sciences, natural sciences, politics, economics, business and management studies, social sciences, and humanities. Authors illustrate how to use data within a discipline, including visualization and analysis, translating and communicating results, and pedagogical considerations. This book is of interest to scholars and anyone looking to understand the use of data science across disciplines. It is ideal in a course for non-data science majors exploring how data translation occurs in various contexts and for professionals looking to engage in roles requiring data translation.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
Weitere Infos & Material
Translating science into actionable policy information – a perspective on the IPCC process.- Data in Observational Astronomy.- On Becoming a Data-Scientist, Beyond Translation: Discovering Best Practices for Evidence-Informed Decision Making for Public Health Practices.- Concern for self-health during the COVID-19 pandemic in Canada: How to use quantitative data to tell an intersectional story?- Community-based participatory research and respondent-driven sampling: A statistician’s, community partner’s and students’ perspectives on a successful partnership.
