Schedule

Notes:

  1. This schedule may be subject to change, but if that happens this page will be updated in accordance.

  2. Slots with speaker numbers greater than one are not lectures, those slots are for other activities.

  3. Below the schedule you’ll find links for resources for some sessions.

Times Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday
07:00-08:00 Breakfast
Check-out
08:00-09:00 Breakfast Breakfast Breakfast Breakfast Breakfast Breakfast
09:00-10:30 Introduction to Shiny (1) git and GitLab (1) Copula theory and applications (1) Numerical methods (1) Student Projects Student Projects Presentation (1)
10:30-11:00 Coffee Break Coffee Break Coffee Break Coffee Break Coffee Break Coffee Break
11:00-12:30 Shiny and Rmarkdown (1) SciOps: Next-Level OpenScience? (1) Copula theory and applications (cont.; 1) Numerical methods (cont.; 1) Student Projects Student Projects Fair (1)
12:30-14:00 Lunch Lunch Lunch Lunch Lunch Lunch
14:00-15:30 Exercises R/Shiny A Procedural Justice-Based Approach to Team Assignment (2) Copula theory and applications (cont.; 1) Numerical methods (cont.; 1) Student Projects Hypothesis Generation and Testing for Complex Stochastic Events: Case Studies On Arrifana Beach (2)
15:30-16:00 Coffee Break Coffee Break Coffee Break Coffee Break Coffee Break Coffee Break
16:00-19:00 Introduction to Arrifana Beach: modeling complex weather patterns and stochastic events (2) A Social Network Approach to Team Dynamics in Time-Constrained Settings (3) Student Projects Student Projects Student Projects Affect-Based Analysis of Professional and Personal Growth (2)
19:00-21:00 Check-in
Dinner
Dinner Dinner Dinner Dinner Dinner Dinner
Speaker(s) Organizers Julian Mollenhauer (1)
Ana Lourenço (2)
João O. Santos (1)
Sérgio Moreira (2)
Ana Lourenço & Catarina Silva Nunes (3)
Hans Colonius (1) Francis Tuerlinckx (1) Students (1)
Sérgio Moreira & Ana Lourenço (2)

Resources

Monday

List of resources for Julian’s sessions

Julian Mollenhauer has been kind enough to provide an amazing R refresher for those who feel they can benefit from refreshing their R knowledge. You are not required to work through the script. However, it can be an amazing source of exercises, for you to practice R.

Checkout Julian’s amazing R refresher

Tuesday

git and GitLab

SciOps

Wednesday

Thursday

Scroll to the bottom of this GitLab project’s page and click on the links for the slides.