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M'Les: Open Practice on Machine Learning for Energy Systems #24

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elpiniki opened this issue Sep 6, 2018 · 6 comments

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@elpiniki
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commented Sep 6, 2018

Project Lead: @elpiniki

Mentor: @GrantRVD

Welcome to OL6, Cohort B! This issue will be used to track your project and progress during the program. Please use this checklist over the next few weeks as you start Open Leadership Training 馃帀.


Before Week 1 (Sept 11): Your first mentorship call

  • Complete the OLF self-assessment (online, printable). If you're a group, each teammate should complete this assessment individually. This is here to help you set your own personal goals during the program. No need to share your results, but be ready to share your thoughts with your mentor.
  • Make sure you know when and how you'll be meeting with your mentor.

Before Week 2 (Sept 18): First Cohort Call (Open by Design)

Before Week 3 (Sept 25): Mentorship call

  • Look up two other projects and comment on their issues with feedback on their vision statement.
  • Complete your Open Canvas (instructions, canvas). Comment on this issue with a link to your canvas.
  • Start your Roadmap. Comment on this issue with your draft Roadmap.

Before Week 4 (Oct 2): Cohort Call (Build for Understanding)

  • Look up two other projects and comment on their issues with feedback on their open canvas.
  • Pick an open license for the work you're doing during the program.
  • Use your canvas to start writing a README, or landing page, for your project. Link to your README in a comment on this issue.

This issue is here to help you keep track of work during the first month of the program. Please refer to the OL6 Syllabus for more detailed weekly notes and assignments past week 4.

@acabunoc acabunoc added this to the Cohort B milestone Sep 13, 2018
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commented Sep 25, 2018

Mission: MLes includes open practice materials for machine learning in energy systems, so that people from academia or industry can learn from and contribute to applications of machine learning in energy. The material is open, practical and simple with the mission to learn, understand and develop. We share content, code and data to inspire people and advance a field that will move us towards smart and green energy systems.

@majohansson

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commented Sep 29, 2018

I had a look at your Open Canvas. One of the mentors suggested that I try to think of "selling" points for the end product when I wrote my Unique Value Proposition, i.e. what need the service might fill for a user. Using your mission as a rough guide, perhaps something like: "A source of open code and data to support learning and development of machine learning applications in energy systems."

@nerantzis

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commented Oct 9, 2018

Dear Elpiniki,

I saw your Open Canvas and your Roadmap.
Just a question or two: {on Open Canvas} Can you see teachers engaging with your project? and {on Roadmap} Can you consider an 'outreach phase' for your project?

Best :-)

@elpiniki

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@elpiniki elpiniki changed the title MLes: Open Practice on Machine Learning for Energy Systems M'Les: Open Practice on Machine Learning for Energy Systems Oct 27, 2018
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