Change Details

== 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 ==== [ ] 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. [ ] 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. [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.

== 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). [ ] Recruit one or two organization administrators. [X] 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. [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.

== 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). [ ] Recruit one or two organization administrators. [ X] 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. [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.