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Date(s) - 09/09/2020
10:45 - 16:00

University of Zurich, Department of Informatics , Room 2.A.01,


SIRA Data Science Event

Date: September 9th, 2020 – 10:45 to 16:00 – Zurich
Place: University of Zurich, Department of Informatics
Room 2.A.01, BIN Building, Binzmühlestrasse 14, 8050 Zurich

Aim and Scope

The commoditization of machine learning methods associated with easier access to large data sets has expanded the application of data science techniques beyond the AI academic frontiers.

In this edition, SIRA Event is dedicated to data science, presenting the area from a multidisciplinary perspective. In addition to discussing topics frequently associated with data science, such as data mining and natural language processing, the event widens the debate with speakers from both industry and academia that presents their applications and research in finance, software engineering and law.

The event will also promote a panel to debate “Opportunities and Challenges in Data-Oriented Academia-Industry Collaborations”, to bring insights on how the SIRA members can find and establish new data-oriented projects with industry partners.

The event is free of charge to SIRA members (Swiss CS/IS professors), MERs in CS/IS, and postdocs in research groups of SIRA members.


Siegfried Handschuh, UNISG
Martin Glinz, UZH
Erik Graf, BFH
Juliano Efson Sales, UNISG


Registration: Required. Please fill and send the REGISTRATION FORM


Directions: By train: Take a train to Zurich Oerlikon. Walk 6 minutes to Binzmühlestrasse 14.
By car: Parking Eisfeld, Thurgauerstrasse 54, or Zurich Messe, Andreasstrasse 65.
Map and walking directions: https://www.ifi.uzh.ch/en/rerg/how-to-find-us.html

Covid-19 Safety: The event will be held physically at UZH’s department of Informatics. In the seminar room, a distance of 1.5 m will be kept between participants. Face masks must be worn in all UZH buildings, except when seated in the seminar room and when eating/drinking in the breaks. For the details, see the safety concept for the event below.

Please note: Due to the 1.5 m distance rule, the capacity of the seminar room (which normally holds 80 people) is limited to about 37 seats. If we receive more registrations than we have seats, registrations will be honored in the order of arrival.



10:30 Registration, Welcome coffee

10:45 Opening: Siegfried Handschuh, Juliano Sales and Martin Glinz

10:50-11:50 Exascale Information Management and Big Data
Philippe Cudré-Mauroux (University of Fribourg)

11:50-12:35 Machine Learning in the Legal Domain
Achim Kohli (legal-i, Bern)

12:35-13:45 Lunch

13:45-14:00 Industry-Research Collaboration for Data-Driven Innovation
Christine Legner (University of Lausanne)

14:00-14:45 AI in Finance
Kevin Smith (Contovista, Zürich)

14:45-15:10 Break

15:10-15:55 Machine Learning in Health
John Dennis (MyPulses, Epalinges)

15:55 Closing

16:00 End of event