Overview of sessions

Title Description
Session 01 - Introduction Intro to theory 1 - First steps in modeling
Session 02 - Introduction Theories / Practice VAST Intro to theory 2; Apply VAST to Bystander effect
Session 03 - The first mathematical model We finalize our Bystander VAST displays and start with the first mathematical model
Session 04 - Mathematical Modeling Part 2 Create all functions for our reduced Bystander Effect Model
Session 05 - Mathematical Modeling Part 3 Consensus model
Session 06 - Mathematical Modeling Part 4 Empirical calibration + simulated experiments
Session 07 - Presentation of candidate theories We have a presentation and initial discussion of candidate theories for the next formalization exercise.
Session 08 - Propose and discuss your own formalization candidate theories We decide which theories will be formalized in the second part of the course.
Session 09 - How to simulate virtual experiments We practice how to generate data for simulated experiments
Session 10 - Theory metadata We learn how to use CFF files and semantic versioning for documenting digital theory objects
Session 11 - Work on formalization The groups work on their formalizations
Session 12 - Final presentations The groups present their work
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