Programme

Download the full programme here (not yet available)

Presentations and Posters

Where authors have given permission, slides and posters are available here (not yet available)

Timetable

Wednesday 7th April

Time
09:00 - 12:30	Course 1: Practical deep learning with R	Course 2: Co-data learning in high dimensional prediction problems	Course 3: Non-parametric Bayesian methods for classification
12:30 - 13:30	Lunch break
13:30 - 14:00	Opening Ceremony
14:00 - 15:00	Keynote Presentation: Professor Jeanine Houwing-Duistermaat
15:00 - 15:30	Tea/Coffee break
15:30 - 16:30	Contributed Session 1	Contributed Session 2	Contributed Session 3
16:30 - 17:00	Poster Lightning Presentations
17:00 - 18:30	Poster session

Thursday 8th April

Time
09:00 - 10:00	Invited session: Integrating and analyzing data from different sources (Data Integration)
10:00 - 10:30	Tea/coffee break
10:30 - 12:00	Contributed session 4	Contributed session 5	Contributed session 6
12:00 - 13:30	Lunch break
13:30 - 15:00	Contributed session 7	Contributed session 8	Contributed session 9
15:00 - 15:30	Tea/coffee break
15:30 - 16:30	Invited session: Infectious diseases
16:30 - 18:00	Contributed session 10	Contributed session 11	Contributed session 12

Friday 9th April

Time
09:00 - 10:30	Invited session: Statistical modelling in movement ecology
10:30 - 11:00	Tea/coffee break
11:00 - 12:00	Keynote presentation: Professor Mathias Drton
12:00 - 12:30	Closing ceremony - Best poster and best student oral presentation awards

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