| Dozent/in |
PD Dr. Oliver Grübner; Prof. Milo Puhan; Dr. Markus Wolf: Prof. Viktor von Wyl; John Naslund; Dr. Suzanne Elayan; Dr. Martin Sykora; Dr. Marta Fadda; Prof. Ketan Shankardass |
| Veranstaltungsart |
Workshop |
| Code |
FS261661 |
| Semester |
Frühjahrssemester 2026 |
| Durchführender Fachbereich |
Gesundheitswissenschaften |
| Studienstufe |
Doktorat |
| Termin/e |
Mo, 18.05.2026, 08:15 - 17:00 Uhr, 3.B55
Di, 19.05.2026, 12:15 - 17:00 Uhr, 3.B48
Di, 19.05.2026, 08:15 - 12:00 Uhr
Mi, 20.05.2026, 08:15 - 17:00 Uhr, 3.B55
Do, 21.05.2026, 12:15 - 17:00 Uhr, 3.B52
Do, 21.05.2026, 08:15 - 12:00 Uhr
Fr, 22.05.2026, 08:15 - 17:00 Uhr, 3.B47 |
| Inhalt |
Big data approaches raise high hopes, promising that this new form of data mining and analysis will significantly improve public health research and action. The proposed course will give a broad overview of potentials and limitations of big data from multiple public health disciplines. Definitions and concepts particularly from epidemiology, geography, and psychology are introduced and discussed in keynote lectures to evaluate the public health relevance of big data. We will also examine key legal and ethical challenges from a broader public health perspective. Subsequently, we will explore emerging methods in big data analysis and their application for advancing public health research, with a particular focus on mental health in mini projects working on perspective papers (i.e., group assignments extending on the keynote lectures) during and in the aftermath of the course. |
| Lernziele |
By the end of the course, the participants are familiar with public health relevant definitions and challenges of big data approaches from major public health disciplines. They can address key issues in research and the broader public health discourse. Specifically, participants will:
1. Discuss the relevance and potential for big data to advance public health research
2. Review novel methods in big data analysis towards addressing important public health challenges
3. Write a positon paper highlighting the impact for real-world public health challenges using big data approaches. |
| Voraussetzungen |
Priority is given to PhD students registered at Swiss School of Public
Health + (SSPH+). Other students and external participants equipped with
master’s degrees in the (various) fields of public health and related areas
are welcome to apply for limited space. |
| Sprache |
Englisch |
| Begrenzung |
min. 15 |
| Anmeldung |
https://www.conftool.com/ssph-phd-courses2026/ |
| Leistungsnachweis |
Participants will be evaluated by their active participation during the
course and by their presentation of group assignments (mini projects) at
the end of the course. Furthermore, participants will write a position
paper (minimum 2 pages) highlighting the outcomes of their mini projects
due 4 weeks after the course (June 19th, 2026). |
| Abschlussform / Credits |
Schriftliche Arbeit, pass or fail / 2 Credits
|
| Hinweise |
1) Read the papers received before Monday May 18th.
2) Mini project group work (3-4 persons), Monday to Thursday May 18th-
21st: Evaluate the discussed big data approaches in the light of a given
real-world public health challenge and sketch a position paper in this
context.
3) Mini project group work presentation, Friday May 22nd: Present the
outline of this position paper in a (e.g., Power Point) presentation and
discuss the presentations of the other groups.
4) Mini project group work after the course, due Friday, June 19th: Write
a position paper (minimum 2 pages) based on your outline presented in
class that highlights the impact of big data methods for a given real-world
public health challenge. |
| Hörer-/innen |
Ja |
| Kontakt |
https://www.conftool.com/ssph-phd-courses2026/ |