Adrin Jalali
I'm a computer scientist / bioinformatician who has turned to be a core developer of scikit-learn and fairlearn, and work as a Machine Learning Engineer at Hugging Face. I'm also an organizer of PyData Berlin.
These days I mostly focus on aspects of machine learning and tools which help with creating more ethical and fair decision making systems. This trend has influenced me to work on fairlearn, and to work on aspects of scikit-learn which would help tools such as fairlearn to work more fluently with the package; and at Hugging Face, my focus is to enable the community of these libraries to be able to share their models more easily and be more open about their work.
Session
In certain areas of the industry open source has become mainstream, whether it be a small part of a product, a “community edition of a product”, or creating a whole business around an open source product. One could assume the only thing required to do so is to make the source code of the project publicly accessible, possibly by putting it on a platform such as GitLab or GitHub, and one couldn’t be more wrong.
In this talk we explore those aspects such as the licence and the governance of the project and the impact they can have. Then we talk about common mistakes teams make which create an environment where outsiders don’t necessarily feel welcomed to the project. First impressions matter and it’s important that new contributors and users stay once they encounter the project.