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# Onboarding

<ControlledDocBanner />

Onboarding is incredibly important for us at OET. We highly recommend taking at least a couple of days for onboarding followed by team specific onboarding and training.
Please feel free to participate in your team’s work in your first week, but don’t feel like you have to contribute heavily.
The following guide will give you some helpful information to get you started.
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Non-tech staff such as those in HR, design, marketing, etc. are also encouraged to set-up a GitHub-account and be added to the OET GitHub organization.

To get a good overview over open modeling, check out the following articles (all can be found online):
- Stefan Pfenninger et al. (2014): Energy systems modeling for twenty-first century energy challenges
- Stefan Pfenninger et al.(2018): Opening the black box of energy modelling: Strategies and lessons learned
- Markus Groissböck (2018): Are open source energy system optimization tools mature enough for serious use?

## Get your OET DNA - Resource list
As our team continues to grow, it’s essential to align on the core values and principles that define us—**our DNA**. This foundation sets us apart and drives our mission. Below is a curated list of resources that embody these principles and should be on everyone’s radar (the list welcomes suggestions).

### Free and Open-Source Software
- [Revolution Open-Source (1.5h)](https://www.youtube.com/watch?v=k0RYQVkQmWU)
- [Free Software Foundation. Proprietary Software Is Often Malware](https://www.gnu.org/proprietary/proprietary.html)
- [Brown 2024. Leading black-box energy planning tool embargoes Technical University of Berlin.](https://www.linkedin.com/posts/tom-brown-226b191a0_freethemodels-activity-7265653451135635456-xkQT?)

### Open Energy Modelling
- [Pfenninger 2017. Energy scientists must show their workings.](https://www.nature.com/articles/542393a)
- [Openmod. Open energy modelling manifesto](https://openmod-initiative.org/manifesto.html)
- [Pfenninger et al. (2021). Opening the black box of energy modelling: Strategies and lessons learned](https://www.sciencedirect.com/science/article/pii/S2211467X17300809)
- [Groissböck (2019). Are open source energy system optimization tools mature enough for serious use?](https://www.sciencedirect.com/science/article/abs/pii/S1364032118307743)

### Open data
- [Morrison & Parzen (2023). Open energy system modelers call for CC‑BY‑4.0 data licensing wherever possible — our world needs comprehensive, usable, and reusable data to transition to net‑zero](https://forum.openmod.org/t/open-letter-calling-for-cc-by-4-0-licenses-on-structured-information-describing-energy-systems/3578).

### Open source optimization solver
- [Parzen et al. (2023). Optimization solvers: the missing link for a fully open- source energy system modelling ecosystem.](https://zenodo.org/records/12703174)

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