Data Ethics & Open Data (Winter)
Open data is accessible public data that people, companies and organisations can use and process. The benefit of Open Data is not only the publication itself, but especially its duplication and reuse as new applications and solutions can increase transparency, promote innovation and encourage community engagement. The extensive use of increasingly more data in general also requires the consideration of complex moral and ethical subjects related to data to support good solutions and responsible handling. The course will be divided into two subject areas: Lectures on Data Ethics will provide the opportunity to learn about the ethical impacts of data and related topics (privacy, transparency, surveillance etc.). In lectures on Open Data students will learn about Open Data from a technical viewpoint and work on an Open Data application.
# Data Ethics & Open Data (Winter)
# Overview
The course consists of - lectures combined with discussions - project work and exercises
# Contents
- Basics of ethical decision making
- Open Data applications in different fields: Healthcare, Finance, Smart Cities etc.
- Open Data formats
- Open Data policies
- Project: analysing and processing open data
- Data Ethics
- Data Privacy, Transparency
# Outcomes
After passing this course successfully students are able to
- analyse and work with Open Data
- determine different fields of Open Data applications
- assess the quality of different Open Data sources
- valuate the importance of responsible handling of data in different areas of application
- discuss domain-related data ethics
- analyse and describe the challenges and risks of an intelligent machine learning system (AI)
# Methods & Schedule
Lectures will be regular online presentations in hybrid mode (on-campus lecture + webinar room) at the beginning of the course. The Problem based learning (excercises and projects) will be organized asynchronously.
| Type | Effort [h] |
|---|---|
| Data Ethics | 50 |
| Open Data | 100 |
# Materials
| Author | Title | Year |
|---|---|---|
| Ethics Advisory Group | Ethics Advisory Group Report 2018 | 2018 |
| European Union | Open Data Maturity in Europe 2017 | 2017 |
| Specific papers related to domains | ||
| Open data Web sites and catalogues |
# Assessment
| Type | Percent |
|---|---|
| Data Ethics: Presentation and handout | 33.33 percent |
| Open Data: Project results and presentation | 66.67 percent |
# Methods
Data Ethics: Participation in discussions Open Data: Problem based learning (excercises and project)
# Criteria
| Grade | Grade (letter) | Scale |
|---|---|---|
| 5 | Nicht Genügend | <50 percent |
| 4 | Genügend | 50 to <63 percent |
| 3 | Befriedigent | 63 to <75 percent |
| 2 | Gut | 75 to <88 percent |
| 1 | Sehr gut | 88 to 100 percent |
# Requirements
Basic Knowledge in Web Technologies, Database Systems, and Data Management.
# Skills
- Webdevelopment
- Data handling
# Equipment
- Used Software will be introduced within the course
# Enrollment
Participation is free of charge. Student of partner universities can send applications to participate in courses.
#University
# UAS Technikum Wien
UAS Technikum Wien
# Lecturers
# Michael Graf
Studies in philosophy and theology. Master´s degree at the university of Vienna.
Development and coordinaton of the ethics-programme at
# Lukas Rohatsch
Lukas Rohatsch holds a master’s degree in Integrative Urban Development – Smart City as well as a bachelor’s degree in Transport and Environment issued by the