== Tentative timeline ==
* September–Applications open
* October–Application and contributions due
* November–Interns announced
* December–Internships start
* March–Internships end
== Administrator ToDos ==
==== Before the application open ====
[X] Share with Outreachy organizers our new plan, seek permission to start recruiting projects early and ideas for venues to promote the projects to potential candidates (in August).
[X] Recruit one or two organization administrators. @Pavithraes & @Gopavasanth
[X] Sign up as a mentoring organization on Outreachy's website. Indicate funding amount (for 6 interns).
[X] Set up a Round 21 page on MediaWiki.org.
[X] Create a Outreachy-Round-21 project tag on Phabricator.
[ ] Recruit ideas for projects and mentors.
[ ] Early-heads up and a reminder email (with a month’s gap) for a call for projects. Besides existing content, highlight why the focus on data science and engineering projects only, what that entails, how would it benefit Wikimedia and future interns.
[ ] Possible venues:
[ ] Wikitech-l
[ ] Wikimedia-l
[ ] Wikimedia Space
[ ] Wikimedia Foundation staff mailing lists
[ ] Wikimedia Foundation and Wikimedia Deutschland Product and Tech team managers
[ ] Telegram channels
[ ] Newsletters (Tech News, Wikimedia Technical Community)
[ ] Maybe Twitter/ Facebook (wikimediatech, Wikmedia)
[ ] Forward the message to:
[ ] WMF’s Product Analytics team (mostly), Analytics , Fundraising operations, Scoring & Research, and a new small team in Product focusing on user data.
[ ] WMDE (only has one data analyst), Wikidata team.
[ ] Organize a training session for all new mentors.
[ ] Get mentors to submit their project proposal on Outreachy's website.
[ ] Zulip chat stream setup.
==== After the application open ====
[ ] Promote Wikimedia's participation in Outreachy.
[ ] Share an invitation to apply to Outreachy with Wikimedia on these channels. Besides existing content, highlight there Round 21 focuses on data-science projects, what they are about, and required skillset.
[ ] Ask WMF folks to spread the message in the women in tech or LGBTQ channels they are part of.
[ ] Global Facebook group “Beginning Data Science, Analytics, Machine Learning, Data Mining, R, Python” with 80k+ members. Share the post with #DataScience hashtag.
[ ] Set up a meeting with WMF Analytics and/or T&C teams to learn about venues where a data science related WMF job opening was shared in the past.
[ ] Participate in the Outreachy Twitter chat.
==== Selection phase ====
[ ] Start an email thread with mentors and faciliate the selection process.
[ ] Send accepted participants a congratulations email and instructions to join Zulip, community building, etc.
[ ] Send rejected participants an email with opportunities to stay involved.
[ ] Update the event wiki with necessary information (accepted candidates, next steps, etc).
==== During the program ====
[ ] Remind students to continue working on projects and write reports.
[ ] Host three sessions for interns: opening, middle, closing. Allow space for peer-to-peer sharing.
[ ] Outreachy contract renewal.
==== Wrap-up ====
[ ] Write a blog post sharing lessons learned.
[ ] Archive the workboards on Phabricator.