Berlin Symposium 2017

Modern Statistical Methods

From Data to Knowledge

Berlin, Germany

December 14 and 15, 2017

 

Address: Gneisenaustraße 27, 10961 Berlin, Germany (Map of the area)

tel: +49 30 698078849

 

The workshop will be focused on the following topics:

Theme 1:    Brain imaging: data and models

Theme 2:    Genetics

Theme 3:    Wearable computing, raw accelerometry data and physical activity

 

Website: http://www.il-balds.org/berlin-symposium-2017

 

Book of abstracts: 

Berlin Symposium December 2017 Abstracts FINAL

 

Organizer:

Jaroslaw Harezlak, Department of Epidemiology and Biostatistics, Indiana University, USA

 

Keynote speakers:

Timothy Johnson, Department of Biostatistics, University of Michigan, USA

Ali Shojaie, Department of Biostatistics, University of Washington, USA

Malgorzata Bogdan, Department of Mathematics, University of Wroclaw, Poland

Joerg Polzehl, Weierstrass Institut for Applied Analysis and Stochastics, Berlin, Germany

Karsten Tabelow, Weierstrass Institut for Applied Analysis and Stochastics, Berlin, Germany

Przemyslaw Biecek, Technical University of Warsaw, Warsaw, Poland

Mark Fiecas, University of Minnesota, Minneapolis, USA

 

Invited presentations by:

Damian Brzyski, Department of Epidemiology and Biostatistics, Indiana University, USA

Marcin Straczkiewicz, Department of Epidemiology and Biostatistics, Indiana University, USA

 

Contributed presentations and posters

Abstract submission is NOW closed.

 

Schedule

Dec. 14 (Thursday)  10am to 8pm (including dinner)

Dec. 15 (Friday)       10am to 2pm

 

Registration:

30 Euros for students

50 Euros for faculty

Register on the IU website.

 

Accommodation (Map of the area)

Recommended within walking distance of the symposium location:

Hotel Sarotti Höfe

Hotel Johann

Hotel Riehmers Hofgarten

Hotel Ludwig van Beethoven

For an even more central location in Berlin, the following hotels are good choices in the Mitte district:

Adina Apartment Hotel

Hotel Angleterre

Novum Winters Hotel Checkpoint Charlie

 

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