# Community Team Meeting **:calendar:** Apr 8, 2022 ### :wave: Attendees - [name=Guzal] - [name=Lovkush] - [name=Franz] - [name=Lukasz] ### :pencil: Agenda :::info 1. Review of [last meeting's md](https://github.com/sktime/community-org/blob/main/community_team/previous_meetings/20220401-meeting.md), review of actions - action FK: announce the dates on pyData - action GB: announce the dates on social media - action Lukasz: create a landing page on sktime.org to reference to mentorship (under Events?) - action GB: post a link with relevant GSoC info on Twitter - action FK: find and share any presentations related to onboarding days with LM and rest - action FK: share last year interview materials & panel org materials with LA (and rest) - action LA: PR to remove 'top three' distinction in information to candidates - action LA: organise interviews - action FK, MW, GB: ask NumFocus during the next CC meeting regarding the LinkedIn account for sktime - action FK: check with Tony why MW doesn't get the info@sktime.org emails - FK: I think it´s better if MW and TB just directly connect 3. **pyData Berlin** * 5. GSoC * interview panels 4. **LinkedIn account for sktime** * revisit 4. **AOB** ::: ### :construction: Reference links *relevant documents* 1. [Previous meeting's HackMD](https://github.com/sktime/community-org/blob/main/community_team/previous_meetings/20220401-meeting.md) 2. https://github.com/sktime/mentoring/blob/main/internships/gsoc2022.md ### Notes 1. Review of last meeting's md, review of actions - on last meeting's hackmd: agreed - action FK: announce the dates on pyData - pydata will be Apr 11, will annoucne proposed dates - May 25-27th for onboarding days - June 27 to July 1 for the dev-days - action GB: announce the dates on social media - will do on Mon 11th - action Lukasz: create a landing page on sktime.org to reference to mentorship (under Events?) - done, merged - action GB: post a link with relevant GSoC info on Twitter - will do before Monday 11th - action FK: find and share any presentations related to onboarding days with LM and rest - not done, will do - action FK: share last year interview materials & panel org materials with LA (and rest) - done - action LA: PR to remove 'top three' distinction in information to candidates - done - action LA: organise interviews - in the process, see agenda - action FK, MW, GB: ask NumFocus during the next CC meeting regarding the LinkedIn account for sktime - till next time, meeting is on Apr 19 - action FK: check with Tony why MW doesn't get the info@sktime.org emails - FK: I think it´s better if MW and TB just directly connect - MW wanted to do this, check with MW nex time 2. **pyData Berlin** * updates * notebook for conf under development here: * https://github.com/sktime/sktime-tutorial-pydata-berlin-2022 * look in the PR for prob forecasting -> feedback on PR directly * look in main for hierarchy_global -> feedback in issue 3. **GSoC** * LA: need people to give feedback on draft proposals between 12th and 15th * people willing to do this are: * Franz * Guzal * Lukasz * Lovkush * LA: need people to process sktime applications and proposals between 19th and ~22nd april * people willing to do this are: * Franz * Lovkush * Guzal * Lukasz * LA: need people to conduct interviews between 25th april and 8th may * people willing to do this along with estimate of days/hours are: * Franz, 2 days * Lovkush, ? days. happy to put in time * Lukasz * Guzal, 1 week day and one weekend (if be), happy to devote one whole day but need to know in advance * LA: what is maximum number of people we will mentor? maximum we will interview? * maximum for mentoring * fk: with peer to peer mechanisms, up to 10. More likely, 5. * gb: 2 co-mentee * lm: 4 or 5 co mentee * la: 2 co mentees * maximum for interview * LA: need to decide what are the skills/attributes we are looking for. here is my current thoughts: * python * collaborative coding, i.e. can use git/github to make pull requests, can set up environment, can follow contributor guidelines, etc * data science/ml. * understanding of sktime * suitable / sensible project * comfort with english * soft skills: follows code of conduct, can give and receive feedback, motivated, organised * FK: we should avoid to deviate from what we already published on gsoc page. * ... but there's no harm in becoming more specific, e.g., in an email that spells things out * FK: requirements are implicit in what we already published. * GB: python says "you like python", but expectation should perhaps be along the lines of capability in addition? * FK: implicit in other sections and GSoC requirements * NOTE: make the requirements more explicit next time (like coding in python - what is required level? so that candidates don't have to guess) * agreed for 2023 or winter round * creation of interview questions etc. - Lovkush is on it * what is best way of discussing this, given we do not want this to be public? maybe organise a separate meeting? * FK: yes, makes sense. * GB: agree 4. **LinkedIn account for sktime** * revisit next next Friday Apr 22nd 4. **AOB** :question: Next meeting & planning --- ### date: Apr 15, 5 pm UK time ### TO-DO before next meeting: - action FK: announce the dates on pyData - pydata will be Apr 11, will annoucne proposed dates - May 25-27th for onboarding days - June 27 to July 1 for the dev-days - action FK: share sktime gmail access with LA (& check with CC whether this is ok) - action GB: announce the dates on social media - will do on Mon 11th - action GB: post a link with relevant GSoC info on Twitter - will do before Monday 11th - action FK: find and share any presentations related to onboarding days with LM and rest - not done, will do - action MW: contact tony about access to info@sktime email - action all: review notebooks * https://github.com/sktime/sktime-tutorial-pydata-berlin-2022 * look in the PR for prob forecasting -> feedback on PR directly * look in main for hierarchy_global -> feedback in issue - action LA: organise meeting for interview questions