Universität Wien FIND
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210077 SE BAK13: Staatstätigkeit, Policy- und Governanceanalysen (2019W)

Big data in public health and health policy: comparative perspectives

6.00 ECTS (2.00 SWS), SPL 21 - Politikwissenschaft
Prüfungsimmanente Lehrveranstaltung

Eine Anmeldung über u:space innerhalb der Anmeldephase ist erforderlich! Eine nachträgliche Anmeldung ist NICHT möglich.
Studierende, die der ersten Einheit unentschuldigt fern bleiben, verlieren ihren Platz in der Lehrveranstaltung.

Beachten Sie die Standards guter wissenschaftlicher Praxis.

Die Lehrveranstaltungsleitung kann Studierende zu einem notenrelevanten Gespräch über erbrachte Teilleistungen einladen.
Plagiierte und erschlichene Teilleistungen führen zur Nichtbewertung der Lehrveranstaltung (Eintragung eines 'X' im Sammelzeugnis).

Moodle; Fr 24.01. 13:15-14:45 Hörsaal 3 (H3), NIG 2. Stock



max. 50 Teilnehmer*innen
Sprache: Englisch


Termine (iCal) - nächster Termin ist mit N markiert

Freitag 18.10. 13:15 - 14:45 Hörsaal 1 (H1), NIG 2.Stock
Freitag 25.10. 13:15 - 14:45 Hörsaal 1 (H1), NIG 2.Stock
Freitag 08.11. 13:15 - 14:45 Hörsaal 3 (H3), NIG 2. Stock
Freitag 22.11. 13:15 - 14:45 Hörsaal 1 (H1), NIG 2.Stock
Freitag 29.11. 13:15 - 14:45 Hörsaal 1 (H1), NIG 2.Stock
Freitag 06.12. 13:15 - 14:45 Hörsaal 1 (H1), NIG 2.Stock
Freitag 13.12. 13:15 - 14:45 Hörsaal 1 Tiefparterre Hauptgebäude Stiege 1 Hof 1
Freitag 10.01. 13:15 - 14:45 Hörsaal 1 (H1), NIG 2.Stock
Freitag 10.01. 15:00 - 16:30 Hörsaal 1 (H1), NIG 2.Stock
Freitag 17.01. 13:15 - 14:45 Hörsaal 1 (H1), NIG 2.Stock
Freitag 31.01. 13:15 - 14:45 Hörsaal 1 (H1), NIG 2.Stock


Ziele, Inhalte und Methode der Lehrveranstaltung

Data are said to be the new fuel of our knowledge economies. In the healthcare sector, there is also considerable expectations regarding the economic and societal benefits of big data. Healthcare will be more inclusive and personalized, treatment options more effective and efficient. Are the right policies and processes in place, however, to deliver on these promises? What is driving the ‘datafication’ of health and care? Is there only winners in this development or are there ‘unwanted side-effects’?
In this seminar, we apply the tools of critical policy studies to discuss data-related practices and governance in the healthcare sector in Europe and beyond. We will investigate sources and types of health data, and discuss current and possible future forms of use. Students will acquire an overview of political, legal and ethical debates surrounding big data in health. The field of study is particularly suited to apply and develop a critical understanding of key approaches and concepts in policy studies (problem definition and framing, definitory struggles, policy design, etc.).
The seminar will include traditional elements (presentations, reading, discussion and writing) as well as interactive panel sessions and optional field activities.

Art der Leistungskontrolle und erlaubte Hilfsmittel

The performance assessment is based on participation in class and written inputs (see below). Attendance is required in the first (18.10.) and all but two of the sessions (‘prüfungsimmanente Lehrveranstaltung’). In justified cases, compensatory extra work might allow students who miss more than two classes to finish the course.

Mindestanforderungen und Beurteilungsmaßstab

In addition to attendance, reading assignments and active participation in class, there are the following three mandatory assignments:

- Short written statement on big data-related media content (provided via moodle) (10%)

- One of the following (25%):
o Briefing note and participation in a simulated panel/commission
o Written concept of field research and oral presentation of results
o Oral presentation of selected readings

- a written research paper of max. 3000 words (concept and final paper to be handed in via moodle on the specified deadlines) (10% for the concept, 55% full paper)


See above. Apart from the presentations and discussions in class, students shall consult the relevant literature in the reading list (to be made available via moodle) for the preparation of oral and written inputs.


Indicative readings include:

· Feldman, Keith, Reid A. Johnson and Nitesh V. Chawla (2018): The State of Data in Healthcare: Path Towards Standardization, in: Journal of Healthcare Informatics Research, 2, 248-271.

· Fischer, Frank et al. (2015): Handbook of Critical Policy Studies, Cheltenham: Edward Elgar.

· Fiske, Amelia, Barbara Prainsack and Alena Buyx (2019): Data Work: Meaning-Making in the Era of Data-Rich Medicine, in: Journal of Medical Internet Research, 21(7), e11672.

· Lee Bacchi, Carol (1999): Women, Policy and Politics: The Construction of Policy Problems, Thousand Oakes: Sage.

· Lupton, Deborah (2016): Digital Health Technologies and Digital Data: New Ways of Monitoring, Measuring and Commodifying Human Embodiment, Health and Illness, in: Olleros, F. Xavier and Majlinda Zhegu (Eds.): Research Handbook on Digital Transformations, Northampton MA: Edward Elgar, 85-101.

· NHS (2019): The Topol Review. Preparing the healthcare workforce to deliver the digital future, online at: https://topol.hee.nhs.uk/wp-content/uploads/HEE-Topol-Review-2019.pdf, accessed 9 August 2019.

· Richterich, Annika (2018) The Big Data Agenda: Data Ethics and Critical Data Studies. London: University of Westminster Press.

· Walt, Gill et al. (2008): ‘Doing’ health policy analysis: methodological and conceptual reflections and challenges, in: Health Policy and Planning, 23, 308-317.

The full reading list will be provided via moodle.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Di 13.08.2019 18:08