Seminar Social & Health Data Analytics

The University of Amsterdam, Utrecht University, Complutense University of Madrid, the University of Belgrade (Serbia) and the Catholic University of Colombia are collaborating on this seminar to introduce their advances on Social and Health Data Analysis.


10 December 2019 - 13:30-16:30



The application of artificial intelligence and data analysis to improve the quality of life and health is becoming more relevant. The objective of the seminar is to discuss and share both the advances and the difficulties that researchers and society itself must face to achieve good results.

Check out the speaker biographies ahead of the seminar.

Registration is free but you must do so in advance through Eventbrite.


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13:30 Talk #1: Presentation
by Stevan Rudinac
University of Amsterdam
13:40 Talk #2: “Collaborative design of Ambient Assisted Living solutions. RISEWISE project”
by Juan Pavón
Complutense Unviersity of Madrid
14:00 Talk #3: “Machine learning approaches for detecting the depression from resting-state electroencephalogram: what we need to learn”
by Milena Cukic
University of Belgrade, Serbia
14:20 Talk #4: “On ethical issues in medical applications of artificial intelligence”
by Nenad Fiser
Independent Researcher
14:40 Talk #5: “Bip4Cast: Some advances in mood disorders data analysis”
by Victoria López
Complutense Unviersity of Madrid
15:00 Talk #6: “Promises and Perils of using Social Media Data to Predict Spread of Diseases”
by Chintan Amrit
University of Amsterdam
15:20 Talk #7: “Why does hypertension continue to be a problem in Colombia and how can we contribute to treat and prevent it from engineering?”
by Yury Jiménez
Catholic University of Colombia
15:40 Round Table & Discussions
16:30 End


Other details

Date: Tuesday 10 December 2019
Time: 13:30-16:30
Location: Room 3.02, Amsterdam Business School, 12 Plantage Muidergracht, 1018 TV Amsterdam


Registration is free but you must do so in advance through Eventbrite.
The event will be in English and is open to all.