Universität Wien FIND

Due to the COVID-19 pandemic, changes to courses and exams may be necessary at short notice (e.g. cancellation of on-site teaching and conversion to online exams). Register for courses/exams via u:space, find out about the current status on u:find and on the moodle learning platform.

Further information about on-site teaching and access tests from 21 April 2021 onwards can be found at https://studieren.univie.ac.at/en/info.

210071 SE BAK13: State Activity, Policy and Governance Analyses (2020W)

Big data in public health and health policy: pre-Corona, Corona and beyond

6.00 ECTS (2.00 SWS), SPL 21 - Politikwissenschaft
Continuous assessment of course work

Die Lehrformate für das WS (digital, hybrid, vor Ort) befinden sich in Entwicklung. Die Lehrenden werden die geplante Organisationsform und Lehrmethodik auf ufind und Moodle bekannt geben. Aufgrund von Covid19 muss mit kurzfristigen Änderungen in Richtung digitaler Lehre gerechnet werden.

Nicht-prüfungsimmanente (n-pi) Lehrveranstaltung. Eine Anmeldung über u:space ist erforderlich. Mit der Anmeldung werden Sie automatisch für die entsprechende Moodle-Plattform freigeschaltet. Vorlesungen unterliegen keinen Zugangsbeschränkungen.

VO-Prüfungstermine erfordern eine gesonderte Anmeldung.
Mit der Teilnahme an der Lehrveranstaltung verpflichten Sie sich zur Einhaltung der Standards guter wissenschaftlicher Praxis. Schummelversuche und erschlichene Prüfungsleistungen führen zur Nichtbewertung der Lehrveranstaltung (Eintragung eines 'X' im Sammelzeugnis).

Registration/Deregistration

Details

max. 40 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

The first seminar takes place on 16 October (not 9 October)!

UPDATE 14 September 2020: Due to the current situation, the seminar will be held digitally. Unless communicated otherwise, we meet at the Friday slots in a virtual meeting room (details will follow). We will make use of room A0218/H2 to meet physically in smaller discussion groups (optional). Dates will be announced in advance.

Friday 16.10. 13:15 - 14:45 Digital
Hörsaal 2 (H2), NIG 2.Stock
Friday 23.10. 13:15 - 14:45 Digital
Hörsaal 2 (H2), NIG 2.Stock
Friday 30.10. 13:15 - 14:45 Digital
Hörsaal 2 (H2), NIG 2.Stock
Friday 06.11. 13:15 - 14:45 Digital
Hörsaal 2 (H2), NIG 2.Stock
Friday 13.11. 13:15 - 14:45 Digital
Hörsaal 2 (H2), NIG 2.Stock
Friday 20.11. 13:15 - 14:45 Digital
Hörsaal 2 (H2), NIG 2.Stock
Friday 27.11. 13:15 - 14:45 Digital
Hörsaal 2 (H2), NIG 2.Stock
Friday 04.12. 13:15 - 14:45 Digital
Hörsaal 2 (H2), NIG 2.Stock
Friday 11.12. 13:15 - 14:45 Digital
Hörsaal 2 (H2), NIG 2.Stock
Friday 18.12. 13:15 - 14:45 Digital
Hörsaal 2 (H2), NIG 2.Stock
Friday 08.01. 13:15 - 14:45 Digital
Hörsaal 2 (H2), NIG 2.Stock
Friday 15.01. 13:15 - 14:45 Digital
Hörsaal 2 (H2), NIG 2.Stock
Friday 22.01. 13:15 - 14:45 Digital
Hörsaal 2 (H2), NIG 2.Stock
Friday 29.01. 13:15 - 14:45 Digital
Hörsaal 2 (H2), NIG 2.Stock

Information

Aims, contents and method of the course

Data are said to be the new fuel of our knowledge economies. Already before the Covid-19 pandemic, there were considerable expectations in the healthcare sector regarding the economic and societal benefits of big data: healthcare could become more inclusive and personalized, treatment options more effective and efficient. With Covid-19, health policy has taken center stage and is affecting our lives to an unprecedented degree. The design of Covid-19 response policies and public health interventions requires evidence. What is the role of health data in this context? How does the pandemic change data-related practices and regulation in and beyond the area of public health? What does this mean for the ‘datafication’ of health and care in the long run?

In this seminar, we apply the tools of critical policy studies to address these questions. We will discuss data-related practices and governance in the healthcare sector in the Covid-19 context 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, struggles around defintions, policy design, etc.).

In light of the current regulatory requirements and university policy, the seminar will be a hybrid of online/distance and offline learning. The seminar will include traditional elements (presentations, reading, discussion and writing), self-study exercises as well as interactive panel sessions and optional field activities.

UPDATE 14 Sep 2020: Given the current situation and the outcomes of a recent departmental meeting, the seminar will be held in digital form. We will meet virtually in a BigBlueButton room (details to be shared via moodle in advance) and only see each other physically on selected occasions for small discussion groups. The dates for these meetings will be communicated in advance. You can also participate in the seminar if you are not able to attend any physical sessions.

Assessment and permitted materials

The performance assessment is based on participation in class and written inputs (see below). Attendance is required in the first class 16.10 and, overall, not more than two classes can be missed (‘prüfungsimmanente Lehrveranstaltung’). In justified cases, compensatory extra work might allow students who miss more than two classes to finish the course.

Minimum requirements and assessment criteria

There are three mandatory assignments:
- Short written statement on health 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
- a written research paper (concept and final paper to be handed in via moodle on the specified deadlines) (10% for the concept, 40% full paper)

Attendance, reading assignments and active participation in class account for 15% of the overall assessment.

Examination topics

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.

Reading list

· Bambra, Claire et al. (2020): The Covid-19 pandemic and health inequalities, in: Journal of Epidemiology and Community Health, 0, 1-5.
· 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.
· Ienca, Marcello and Effy Vayena (2020): On the responsible use of digital data to tackle the COVID-19 pandemic, in: Nature Medicine, 26, 458-464.
· 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.
· Naudé, Wim (2020): Artificial intelligence vs COVID-19: limitations, constrains and pitfalls, in: AI & Society, published online, 28 April 2020, https://doi.org/10.1007/s00146-020-00978-0.
· 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.
· Prainsack, Barbara (2020): The value of healthcare data: to nudge, or not?, in: Policy Studies, 41(5), 547-562.
· 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.

Association in the course directory

Last modified: Mo 12.10.2020 13:49