Name phases

# Introduction

Modellierungs-Fitnessclub is a monthly meeting where researchers talk about how they

build modelling workflows with coding harnesses (such as Claude code, OpenAI Codex,

cursor, Open code or Pi). This is a hands on workshop to practice data science

skills that are transferable between scientific domains. We are all learning how agentic

programming is disrupting software engineering and our modelling work as a result.

Modellierungs-Fitnessclub is a hands on meeting where researchers build modelling

workflows with coding harnesses (such as Claude code, OpenAI Codex, cursor, Open code or

Pi). This is a workshop to practice data science skills transferable between scientific

domains. We are all learning how agentic programming is disrupting software engineering

and our modelling work as a result.

- The 90 minutes meeting is a Hands on workshop on a modelling dataset and associated

  data analysis tools.  In 4 phases:

- The 90 minutes workshop chooses and analyses one dataset in 4 phases:

    1. 5 minutes. Round of introduction 1 minute per project (with timer). Group

       decision on the most mature or desirable project among the submitted ones.

    1. **Choice Phase** 5 minutes. Round of introduction 1 minute per project (with

       timer). Group decision on the most mature or desirable project among the

       submitted ones.

    2. 15 minutes specification we discuss on a drawing board or sheet of paper what do

       we want to achieve in the session.

    2. **Specification Phase** 15 minutes. On a drawing board or sheet of paper, we

       specify what we want to achieve during the session.

    3. 1 hour of Implementation with at least one, preferably two or more laptops which

       load the dataset, tools, and generate software with a coding agent. We push the

       code to this git repository under a new sub directory corresponding to the day of

       the event.

    3. **Implementation Phase** 1 hour. Implementation with at least one, preferably two

       or more laptops which load the dataset, tools, and generate software with a

       coding agent. We push the code to this git repository under a new sub directory

       corresponding to the day of the event.

    4. 10 minutes wrap-up what worked, what didn't work.

    4. **Wrap-up Phase** 10 minutes. What failed, what went well, what can we improve

       next time.

- Throughout the specification and implementation phase, we can discuss about

  visualizations such as histogram, scatter plot, line chart, area chart, bar chart,