|Aug. 28, 2020 at 4pm UTC||Initial applications open|
|Aug. 31, 2020, 4 p.m. UTC||#OutreachyChat on Twitter|
|Sept. 20, 2020 at 4pm UTC||Initial application deadline|
|Oct. 1, 2020||Project list finalized|
|Oct. 1, 2020 to Oct. 31, 2020||Contribute to projects|
|Oct. 31, 2020 at 4pm UTC||Final application deadline|
|Nov. 23, 2020 at 4pm UTC||Accepted interns announced|
|Dec. 1, 2020 to March 2, 2021||Internships period|
Before the application open
- 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).
- Recruit one or two organization administrators. @Pavithraes & @Gopavasanth
- Sign up as a mentoring organization on Outreachy's website. Indicate funding amount (for 6 interns).
- Set up a Round 21 page on MediaWiki.org.
- 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 https://lists.wikimedia.org/pipermail/wikitech-l/2020-August/093759.html
- Wikimedia-l https://lists.wikimedia.org/pipermail/wikimedia-l/2020-August/095498.html
- Wikidata-I https://lists.wikimedia.org/mailman/listinfo/wikidata-l
- Wikimedia Foundation Optional mailing list
- Wikimedia Foundation and Wikimedia Deutschland Product and Tech team managers (Birgit led this conversation)
- Telegram channels https://t.me/wmhack/11307 and https://t.me/WikimediaGeneral/20837
- Newsletters (Wikimedia Technical Community) (Newsletter will go out in October, so we can't post there)
- Maybe Twitter/ Facebook (wikimediatech, Wikmedia) https://twitter.com/mediawiki/status/1299366711016054796
- 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.
- Create a private stream on Zulip for mentors where they can ask each other questions about the program.
- 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. T261482
- 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. https://www.facebook.com/groups/995474220466742/permalink/3836155623065240/
- 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.
- Participate in a She Code Africa's webinar named "Excelling in Outreachy Internships" and share tips with potential applicants.
- 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.
- Write a blog post sharing lessons learned.
- Archive the workboards on Phabricator.