[ Other Facilitator 1's Name ] Sharada Mohanty
[ Other Facilitator 1's GitHub ] @spMohanty
[ Other Facilitator 2's Name ] Sylvain Bernard
[ Other Facilitator 2's GitHub ] @XCaellaX
[ Other Facilitator 3's Name ] Sean Carroll
[ Other Facilitator 3's GitHub ] @seanfcarroll
What will happen in your session?
crowdAI is an open web platform designed to make data science and AI as accessible as possible in the form of open data challenges. In this workshop, we will show how the platform works, and what we do so that anyone, from beginners to experts, can collaboratively tackle difficult data problems using machine learning.
We will also demonstrate how simple it is to host a machine learning challenge, and launch an example challenge during the session.
We will present how we design challenges to be as inclusive, as easy to start, and as rewarding as possible. After over two years of activity, we have a large and lively community who help each other and collaborate on open data science challenges.
What is the goal or outcome of your session?
After a presentation of the crowdAI platform, we will open the discussion and brainstorm:
How to attract and involve a larger community of developers in open-source projects around AI
How can academic AI researchers learn from the experience of other open-source communities in creating and managing large and diverse communities
How can we help ensure that all the open solutions for various problems that are created in our community have maximum impact
How to facilitate more bi-directional collaboration between open-source communities and communities of AI researchers.
How platform builders and project participants can make a project accessible and easy for collaboration
How to shape a project so contributors feels included and rewarded for contributions
If your session requires additional materials or electronic equipment, please outline your needs.
[ UUID ] 6c3c4cd9-2756-4c74-93bc-0cd3f74389c2
[ Session Name ] crowdAI - the open source data science challenge platform [ Primary Space ] Openness
[ Submitter's Name ] Marcel Salathé [ Submitter's Affiliated Organisation ] EPFL (École Polytechnique Fédérale de Lausanne) [ Submitter's GitHub ] @marcelsalathe
[ Other Facilitator 1's Name ] Sharada Mohanty [ Other Facilitator 1's GitHub ] @spMohanty
[ Other Facilitator 2's Name ] Sylvain Bernard [ Other Facilitator 2's GitHub ] @XCaellaX
[ Other Facilitator 3's Name ] Sean Carroll [ Other Facilitator 3's GitHub ] @seanfcarroll
What will happen in your session?
crowdAI is an open web platform designed to make data science and AI as accessible as possible in the form of open data challenges. In this workshop, we will show how the platform works, and what we do so that anyone, from beginners to experts, can collaboratively tackle difficult data problems using machine learning.
We will also demonstrate how simple it is to host a machine learning challenge, and launch an example challenge during the session.
We will present how we design challenges to be as inclusive, as easy to start, and as rewarding as possible. After over two years of activity, we have a large and lively community who help each other and collaborate on open data science challenges.
What is the goal or outcome of your session?
After a presentation of the crowdAI platform, we will open the discussion and brainstorm:
If your session requires additional materials or electronic equipment, please outline your needs.
Projector only.
Time needed
60 mins