DagRep.12.1.35.pdf
- Filesize: 4.25 MB
- 32 pages
Document
Mobility Data Mining: from Technical to Ethical (Dagstuhl Seminar 22022)
Authors and all authors of the abstracts in this report
-
Part of:
Issue:
Dagstuhl Reports, Volume 12, Issue 1
Volume: Dagstuhl Reports, Volume 12
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2022-08-23
Cite AsGet BibTex
Bettina Berendt, Stan Matwin, Chiara Renso, Fran Meissner, Francesca Pratesi, Alessandra Raffaetà, and Geoffrey Rockwell. Mobility Data Mining: from Technical to Ethical (Dagstuhl Seminar 22022). In Dagstuhl Reports, Volume 12, Issue 1, pp. 35-66, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)
https://doi.org/10.4230/DagRep.12.1.35
https://doi.org/10.4230/DagRep.12.1.35
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 22022 "Mobility Data Analysis: from Technical to Ethical" that took place fully remote and hosted by Schloss Dagstuhl from 10-12 January 2022. An interdisciplinary team of 23 researchers from Europe, the Americas and Asia in the fields of computer science, ethics and mobility analysis discussed interactions between their topics and fields to bridge the gap between the more technical aspects to the ethics with the objective of laying the foundations of a new Mobility Data Ethics research field.
Subject Classification
ACM Subject Classification
- Computing methodologies → Machine learning
- Computing methodologies → Artificial intelligence
- Security and privacy → Human and societal aspects of security and privacy
- Human-centered computing → Interaction design
- Social and professional topics → Computing / technology policy
- Security and privacy → Database and storage security
- Security and privacy → Software and application security
Keywords
- Dagstuhl Report
- Mobility Data Mining: from Technical to Ethical
Metrics
- Access Statistics
-
Total Accesses (updated on a weekly basis)
0PDF Downloads