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openmod Zürich 2018 workshop evaluation
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openmod-zurich-2018-feedback.csv
Timestamp The workshop was worth my time [Was it?] What do you think about the programme? [Keynotes] What do you think about the programme? [Speed dating session] What do you think about the programme? [Poster session] What do you think about the programme? [Do-a-thons] What do you think about the programme? [Lightning talks] What do you think about the programme? [Workshop booklet] My preferred order of sessions is: Do you have specific comments about the programme? What do you think about the organisation of this workshop? [There were enough breaks between sessions] What do you think about the organisation of this workshop? [I received timely announcements] What do you think about the organisation of this workshop? [I could find all necessary information easily] What do you think about the organisation of this workshop? [The forum should be used more heavily for workshop and session organisation] What do you think about the organisation of this workshop? [Organising do-a-thons on the forum was effective] What do you think about the organisation of this workshop? [The way in which do-a-thons were assigned to slots was fair] What do you think about the organisation of this workshop? [The group size of the do-a-thons was appropriate] What do you think about the organisation of this workshop? [The rooms were appropriate] What do you think about the organisation of this workshop? [The lecture theatre was appropriate] What do you think about the organisation of this workshop? [The poster / green floor area was appropriate] Do you have specific comments about the organisation of this workshop? Any comments on what was the best thing about this workshop? Any comments on what needed the most improvement at this workshop? What do you think about the organisation of this workshop? [I would be willing to pay a workshop registration fee of around 50 EUR.] What do you think about the organisation of this workshop? [I would prefer more top-down organisation by the organisers ahead of time (e.g., setting up all the do-a-thons to specific slots, more akin to a traditional conference)] My preferred frequency of openmod workshops is My preferred length for an openmod workshop is What application process for the workshop would you prefer (multiple selections possible) I would attend an online-only openmod workshop Number of openmod workshops attended Years experience with energy system modelling Career level
2018/06/08 11:37:18 AM GMT+2 Agree Neither useful nor useless Useful Useful Useful Very useful Neither useful nor useless Interactive parts first, then passive parts (talks) Agree Neither agree nor disagree Neither agree nor disagree Agree Agree Disagree Agree Fully Agree Fully Agree Fully Agree Fully Agree Fully Agree once 2 days Participant interest in suggested contributions (aim: make the workshop sessions more productive) no 1 2 Senior or staff scientist (permanent contract)
2018/06/08 11:38:18 AM GMT+2 Fully Agree Useful Very useful Neither useful nor useless Useful Useful Very useful Mix between both Fully Agree Fully Agree Agree Neither agree nor disagree Agree Agree Disagree Fully Agree Agree Fully Agree Agree Disagree twice 3 days First come first serve (like today);Participant interest in suggested contributions (aim: make the workshop sessions more productive) no 3 6 Assistant professor / lecturer / junior professor
2018/06/08 11:38:20 AM GMT+2 Fully Agree Very useful Very useful Very useful Useful Very useful Useful I liked the mix of passive / interactive recurring Speed dating was a very nice addition, especially for new people to get to know others. Agree Fully Agree Fully Agree Agree Agree Agree Neither agree nor disagree Fully Agree Fully Agree Fully Agree Some groups were too big; the venue was fantastic, with a good variety of spaces. Relaxed atmosphere, speed dating, flexible programme. Nothing really! Agree Neither agree nor disagree twice 2 days Quotas based on country affiliation (aim: lead to a more diverse audience) no 5 6 Senior or staff scientist (permanent contract)
2018/06/08 11:38:24 AM GMT+2 Agree Useful Very useful Neither useful nor useless Useful Useful Useful Passive parts (talks) first, then interactive parts Fully Agree Fully Agree Fully Agree Neither agree nor disagree Agree Agree Fully Agree Fully Agree Fully Agree Fully Agree Getting to know the openmod community in person Getting new members more involved Agree Neither agree nor disagree twice 2 days Participant interest in suggested contributions (aim: make the workshop sessions more productive);Quotas based on country affiliation (aim: lead to a more diverse audience) yes 1 1 PhD student
2018/06/08 11:38:29 AM GMT+2 Fully Agree Useful Very useful Very useful Useful Very useful Passive parts (talks) first, then interactive parts Fully Agree Fully Agree Fully Agree Fully Agree Agree Agree Agree Fully Agree Fully Agree Fully Agree Speed dating to break ice, general relax atmosphere Fully Agree Disagree twice 2 days Quotas based on country affiliation (aim: lead to a more diverse audience) no 1 1 Postdoc (temporary contract)
2018/06/08 11:38:34 AM GMT+2 Agree Very useful Very useful Useful Very useful Useful Passive parts (talks) first, then interactive parts Agree Fully Agree Agree Neither agree nor disagree Agree Fully Agree Fully Agree Fully Agree Fully Agree Fully Agree Revised format actually worked quite well. Some "do-a-thons" tackled complex subjects where no real progress could be expected in such a short time; as such, should be given more time and/or prepared by a small group in advance. Fully Agree Neither agree nor disagree once 2 days Random selection after application deadline;Participant interest in suggested contributions (aim: make the workshop sessions more productive);Quotas based on country affiliation (aim: lead to a more diverse audience) yes 2 4 Senior or staff scientist (permanent contract)
2018/06/08 11:38:45 AM GMT+2 Fully Agree Very useful Useful Very useful Useful Useful Very useful Passive parts (talks) first, then interactive parts having lightning talks earlier would allow to talk about projects over coffee and maybe even start working on new ideas right away Fully Agree Fully Agree Neither agree nor disagree Neither agree nor disagree Neither agree nor disagree Agree Agree Agree Agree Fully Agree Keynote by Aaron (as an outsider from the usual scientific community) - and not that the other agenda items weren't good Fully Agree Disagree once 3 days First come first serve (like today);Random selection after application deadline;Participant interest in suggested contributions (aim: make the workshop sessions more productive);Quotas based on country affiliation (aim: lead to a more diverse audience) no 3 10 Senior or staff scientist (permanent contract)
2018/06/08 11:38:56 AM GMT+2 Fully Agree Useful Useful Useful Very useful Useful Neither useful nor useless Passive parts (talks) first, then interactive parts Agree Agree Agree Neither agree nor disagree Agree Agree Agree Agree Agree Agree Do-a-thons Fully Agree Neither agree nor disagree once 3 days First come first serve (like today);Quotas based on country affiliation (aim: lead to a more diverse audience) no 11 1 Postdoc (temporary contract)
2018/06/08 11:39:22 AM GMT+2 Fully Agree Useful Very useful Useful Useful Very useful Useful Passive parts (talks) first, then interactive parts Disagree Agree Neither agree nor disagree Disagree Disagree Agree Agree Agree Agree Agree Set up do-a-thons with participants before Everything was awesome Max number of participants per organization. Agree Fully Agree once 2 days Quotas based on country affiliation (aim: lead to a more diverse audience) yes 1 7 Senior or staff scientist (permanent contract)
2018/06/08 11:39:28 AM GMT+2 Fully Agree Very useful Useful Useful Useful Very useful Neither useful nor useless Passive parts (talks) first, then interactive parts Agree Fully Agree Agree Agree Neither agree nor disagree Agree Disagree Fully Agree Fully Agree Fully Agree Effective regarding the (planned) common future work - e.g. data standards, getting to a more common model structure as well as common data i/o routines Better handling of coffeegate Fully Agree Agree twice 3 days Participant interest in suggested contributions (aim: make the workshop sessions more productive);Quotas based on country affiliation (aim: lead to a more diverse audience) no 2 3 PhD student
2018/06/08 11:39:29 AM GMT+2 Neither agree nor disagree Useful Useful Useless Neither useful nor useless Useful Useless Interactive parts first, then passive parts (talks) Agree Disagree Neither agree nor disagree Agree Disagree Agree Disagree Fully Agree Fully Agree Fully Agree Gr8 job guyz. Free dinner & wine People knowing what the do-a-thons were all about and having the proposer actually prepare in advance Agree Agree twice 3 days Participant interest in suggested contributions (aim: make the workshop sessions more productive);Quotas based on country affiliation (aim: lead to a more diverse audience) yes 4 3 PhD student
2018/06/08 11:39:42 AM GMT+2 Agree Useful Very useful Very useful Useful Very useful Useful Passive parts (talks) first, then interactive parts Fully Agree Fully Agree Fully Agree Fully Agree Fully Agree Fully Agree Agree Fully Agree Fully Agree Fully Agree lightning talks Neither agree nor disagree Disagree once 2 days Participant interest in suggested contributions (aim: make the workshop sessions more productive) no 2 7 PhD student
2018/06/08 11:39:51 AM GMT+2 Fully Agree Very useful Useful Very useful Useful Useful Useful Passive parts (talks) first, then interactive parts The lighning talks should be on the first day, to get to know the projects and people. Agree Fully Agree Fully Agree Fully Agree Neither agree nor disagree Neither agree nor disagree Neither agree nor disagree Agree Agree Fully Agree the people and the spitit Neither agree nor disagree Disagree twice 3 days First come first serve (like today);Participant interest in suggested contributions (aim: make the workshop sessions more productive);Quotas based on country affiliation (aim: lead to a more diverse audience) yes 5 4 Senior or staff scientist (permanent contract)
2018/06/08 11:39:59 AM GMT+2 Agree Useful Useful Useful Very useful Very useful Useful Passive parts (talks) first, then interactive parts Fully Agree Fully Agree Agree Agree Fully Agree Agree Neither agree nor disagree Agree Fully Agree Agree networking with the open model community, making sure all are on the same page Fully Agree Agree twice 3 days First come first serve (like today) yes 1 1 PhD student
2018/06/08 11:40:38 AM GMT+2 Fully Agree Useful Very useful Useful Useful Very useful Very useful Interactive parts first, then passive parts (talks) Fully Agree Fully Agree Fully Agree Fully Agree Agree Neither agree nor disagree Neither agree nor disagree Agree Agree Agree Group sizes for do-a-thons are hard to control. So even if a session is designed for 10 people, if that session is popular, you would end up with 30 people in the room. So perhaps the leads can think about strategies to design the do-a-thons for both, small and large groups. Also, the installation requirements for do-a-thons could be sent earlier so people get some time to set up. But overall, a big thanks to all the leads of the do-a-thons. face-to-face meetings, lightning talks. Agree Agree once 2 days Quotas based on country affiliation (aim: lead to a more diverse audience) yes 1 7 Postdoc (temporary contract)
2018/06/08 11:40:41 AM GMT+2 Neither agree nor disagree Neither useful nor useless Very useful Neither useful nor useless Neither useful nor useless Useful Useful Passive parts (talks) first, then interactive parts Fully Agree Fully Agree Agree Neither agree nor disagree Neither agree nor disagree Neither agree nor disagree Neither agree nor disagree Neither agree nor disagree Fully Agree Fully Agree speed dating Fully Agree Agree once 2 days Participant interest in suggested contributions (aim: make the workshop sessions more productive) yes 1 1 PhD student
2018/06/08 11:40:55 AM GMT+2 Fully Agree Useful Useful Useful Very useful Neither useful nor useless Useless Interactive parts first, then passive parts (talks) Agree Disagree Neither agree nor disagree Disagree Disagree Neither agree nor disagree Disagree Fully Agree Fully Agree Fully Agree Green space was awesome to meet and talk together. Break-out groups or do-a-thons don't seem to be too different. Interleaving learning sessions with break-out groups was a good decision. Agree Disagree twice 3 days First come first serve (like today);Quotas based on country affiliation (aim: lead to a more diverse audience) yes 4 3 Postdoc (temporary contract)
2018/06/08 11:41:09 AM GMT+2 Fully Agree Useful Very useful Useless Very useful Very useful Neither useful nor useless Mixing things up, But generally input first at each day Agree Fully Agree Agree Neither agree nor disagree Neither agree nor disagree Disagree Agree Fully Agree Neither agree nor disagree Fully Agree Don't know what 'fair' means in terms of assignment for do-a-thon.. Nice atmosphere Cookies etc. for Coffee Breaks, Rooms that are more designed for group work by default ("round" tables) Neither agree nor disagree Disagree twice 3 days Participant interest in suggested contributions (aim: make the workshop sessions more productive);Quotas based on country affiliation (aim: lead to a more diverse audience) yes 3 5 PhD student
2018/06/08 11:41:21 AM GMT+2 Fully Agree Neither useful nor useless Neither useful nor useless Useful Useful Neither useful nor useless Useful Passive parts (talks) first, then interactive parts Fully Agree Fully Agree Fully Agree Agree Agree Agree Fully Agree Fully Agree Fully Agree Fully Agree Disagree Neither agree nor disagree once 3 days Participant interest in suggested contributions (aim: make the workshop sessions more productive) yes 3 1 PhD student
2018/06/08 11:41:22 AM GMT+2 Agree Neither useful nor useless Neither useful nor useless Very useful Useful Very useful Neither useful nor useless Passive parts (talks) first, then interactive parts The days were feeling a bit short. More (or longer) "a-thons" could fit into one day Agree Neither agree nor disagree Fully Agree Agree Fully Agree Disagree Agree Fully Agree Fully Agree Fully Agree Bringing people together to attack a problem; attitude of people Agree Disagree once 3 days First come first serve (like today);Participant interest in suggested contributions (aim: make the workshop sessions more productive);Quotas based on country affiliation (aim: lead to a more diverse audience) no 1 10 Postdoc (temporary contract)
2018/06/08 11:41:33 AM GMT+2 Fully Agree Neither useful nor useless Useful Useful Very useful Useful Useful a bit more structure for the do-a-thons would be nice to actually get things done Fully Agree Fully Agree Agree Neither agree nor disagree Agree Fully Agree Agree Agree Fully Agree Fully Agree big thanks to the organisators! networking Neither agree nor disagree Disagree once 3 days Participant interest in suggested contributions (aim: make the workshop sessions more productive);Quotas based on country affiliation (aim: lead to a more diverse audience) yes 1 0
2018/06/08 11:41:38 AM GMT+2 Fully Agree Useful Very useful Neither useful nor useless Useful Useful Very useful Passive parts (talks) first, then interactive parts Fully Agree Fully Agree Fully Agree Disagree Agree Fully Agree Disagree Fully Agree Fully Agree Fully Agree connecting with people, sharing of ideas and concepts slightly more prepared do-a-thon sessions with realistic target (defined before the workshop in the forum maybe); maybe longer sessions reasonable for some breakout groups (full morning / afternoon) Agree Fully disagree twice 2 days Random selection after application deadline no 1 1 PhD student
2018/06/08 11:42:03 AM GMT+2 Agree Useful Very useful Very useful Useful Very useful Useful Fully Agree Fully Agree Fully Agree Neither agree nor disagree Agree Agree Neither agree nor disagree Fully Agree Fully Agree Fully Agree networking, discovering different topics, inspiration on future works maybe having a deeper introduction the first day for newcomers in the field (different existing tools, languages and their specificity) 2 days First come first serve (like today);Participant interest in suggested contributions (aim: make the workshop sessions more productive);Quotas based on country affiliation (aim: lead to a more diverse audience) yes 1 0 PhD student
2018/06/08 11:42:07 AM GMT+2 Fully Agree Very useful Very useful Useful Useful Useful Useful A mix The distribution of do-a-thons could be a more digitally collaborative. More voting options than just the heart (did it make a difference with the hearts?). Agree Agree Fully Agree Fully Agree Agree Neither agree nor disagree Disagree Neither agree nor disagree Agree Agree Perhaps for some do-a-thons a "maximal number" with flexible registration, as well for the distribution and allocation of workshops... flexible x-a-thon possibilities some common file sharing infra structure (with versioning?) for the x-a-thons... Fully Agree Fully disagree twice 3 days First come first serve (like today) yes 3 6 PhD student
2018/06/08 11:42:12 AM GMT+2 Agree Useful Very useful Useful Useful Very useful Useful Passive parts (talks) first, then interactive parts Agree Fully Agree Fully Agree Agree Agree Agree Agree Agree Fully Agree Fully Agree Getting to know interesting people Agree Neither agree nor disagree twice 2 days First come first serve (like today);Participant interest in suggested contributions (aim: make the workshop sessions more productive) no 0 1 PhD student
2018/06/08 11:42:37 AM GMT+2 Fully Agree Very useful Very useful Neither useful nor useless Useful Very useful Very useful Lightning talks + Speed-dating first Fully Agree Agree Neither agree nor disagree Agree Agree Neither agree nor disagree Fully Agree Fully Agree Fully Agree Lightning Talks + Speed-dating Could be better to post overview /schedule of each day, including ALL links, in ONE place at the BEGINNING of the day... although the planning-as-you-go was also funny and worked Agree Agree twice 3 days Participant interest in suggested contributions (aim: make the workshop sessions more productive);Quotas based on country affiliation (aim: lead to a more diverse audience) yes 1 5 Assistant professor / lecturer / junior professor
2018/06/08 11:42:55 AM GMT+2 Fully disagree Neither useful nor useless Very useful Useful Useful Useful Neither useful nor useless I would've gone for option one, but some talks would've been useful to have up front in order to be able to discuss with the presenters later. Disagree Agree Agree Neither agree nor disagree Agree Agree Agree Fully Agree Fully Agree Agree While there where enough breaks, sometimes they could've been slightly longer. Due to sesssion overruns I sometimes had back to back sessions with put lead to brain overload syndrome in some instances. Granted longer breaks would probably just lead to longer overruns, so there might have to be a different way of dealing with this. Agree Agree twice 3 days First come first serve (like today) no 5 3 PhD student
2018/06/08 11:43:09 AM GMT+2 Agree Neither agree nor disagree Fully Agree Agree Fully Agree Agree Fully Agree Fully Agree Fully Agree Fully Agree Great job, thank you for hosting us! Chance to discuss, learn, develop common goals. We could collect conflicts in the workshop allocation beforehand through some poll. Neither agree nor disagree Disagree twice 3 days First come first serve (like today);Participant interest in suggested contributions (aim: make the workshop sessions more productive) yes 1 1 Senior or staff scientist (permanent contract)
2018/06/08 11:43:43 AM GMT+2 Fully Agree Useful Useful Useful Useful Useful Useful Passive parts (talks) first, then interactive parts Agree Agree Agree Agree Agree Agree Neither agree nor disagree Agree Agree Agree Neither agree nor disagree Disagree twice 3 days Participant interest in suggested contributions (aim: make the workshop sessions more productive) yes 2 1 PhD student
2018/06/08 11:44:51 AM GMT+2 Fully Agree Useful Useful Useful Very useful Very useful Very useful Passive parts (talks) first, then interactive parts short introduction to the do-a-thons would be good (though I agree that it is time saving to have that only on the forum); it was sometimes hard to track what takes place and where - The offline pinboard was helpful because more up to date Fully Agree Agree Agree Fully Agree Neither agree nor disagree Disagree Fully Agree Fully Agree Agree Fully Agree interesting new tools and continuing discussions overview of the people and institutes which are there Agree Fully disagree twice 2 days Participant interest in suggested contributions (aim: make the workshop sessions more productive) yes 7 8 Senior or staff scientist (permanent contract)
2018/06/08 11:45:01 AM GMT+2 Useful Useful Useful Very useful Useful Neither useful nor useless Passive parts (talks) first, then interactive parts Quick introduction into the do-a-thons would be nice - 1 min each or so. Fully Agree Agree Agree Agree Agree Fully Agree Agree Fully Agree Fully Agree Fully Agree people and the open exchange of ideas Neither agree nor disagree Disagree twice 3 days Random selection after application deadline;Participant interest in suggested contributions (aim: make the workshop sessions more productive) yes 4 3 PhD student
2018/06/08 11:45:14 AM GMT+2 Agree Useful Useful Useful Useful Useful Neither useful nor useless Passive parts (talks) first, then interactive parts the keynote about open software was too general for the audience Agree Agree Agree Disagree Agree Agree Agree Fully Agree Fully Agree Fully Agree I found trying to solve problems rather than just talk about them interesting. Agree Neither agree nor disagree once 3 days Random selection after application deadline yes 1 3 PhD student
2018/06/08 11:46:13 AM GMT+2 Fully Agree Useful Very useful Neither useful nor useless Very useful Very useful Very useful Interactive parts first, then passive parts (talks) Fully Agree Fully Agree Agree Neither agree nor disagree Neither agree nor disagree Agree Disagree Disagree Fully Agree Fully Agree The doathons were partially either very crowded or quiet empty which makes it difficult for more interactive doathons to be planned. For the interactive doathons I would have liked a bit more structure. I liked that it was open in the discussion and work packages but it would be useful to decide on some intermediate goals and split large groups to work on such goals. Otherwise discussions get fuzzy and the workshop group splits up randomly. The large share of interactive sessions instead of frontal talks only, the Speed dating beforehand, the welcoming at ETH Zürich together with the social parts (the common dinner was a very nice idea). The doathons could be more structured (see previous comments). The speed dating was very nice, only it was very loud where we undertook it (I am complaining on a high level here ;)) Fully Agree Disagree twice 3 days First come first serve (like today);Participant interest in suggested contributions (aim: make the workshop sessions more productive) yes 1 3 Postdoc (temporary contract)
2018/06/08 11:46:27 AM GMT+2 Fully Agree Useful Very useful Useful Very useful Very useful Useful Passive parts (talks) first, then interactive parts Fully Agree Agree Fully Agree Neither agree nor disagree Agree Neither agree nor disagree Agree Fully Agree Fully Agree Fully Agree Agree Neither agree nor disagree twice 3 days yes 1 2
2018/06/08 11:46:47 AM GMT+2 Fully Agree Very useful Neither useful nor useless Useful Very useful Very useful Useful Interactive parts first, then passive parts (talks) Fully Agree Agree Fully Agree Fully Agree Fully Agree Fully Agree Fully Agree Fully Agree Fully Agree Fully Agree excellent venue, pleasant atmosphere Fully Agree Disagree twice 3 days Quotas based on country affiliation (aim: lead to a more diverse audience) no 3 23
2018/06/08 11:46:58 AM GMT+2 Fully Agree Useful Very useful Neither useful nor useless Very useful Very useful Neither useful nor useless Interactive parts first, then passive parts (talks) Agree Agree Fully Agree Neither agree nor disagree Agree Agree Disagree Agree Agree Agree The external speakers, creative do-a-thons Smaller groups for do-a-thons, to have the chance to actually create something together. Coding in groups can be very fun, but did unfortunately not take place... It would also be nice to have explicit tutorials on packages/tools hold by people who are familiar with them. That could help the community to share experience about coding and practical issues. Agree Neither agree nor disagree more than twice a year 3 days First come first serve (like today);Participant interest in suggested contributions (aim: make the workshop sessions more productive) yes 2 2 PhD student
2018/06/08 11:46:58 AM GMT+2 Agree Neither useful nor useless Very useful Useful Very useful Very useful Useful A mixture of both depending on the format. Speed dating at the beginning. Maybe lightning talks on the first afternoon to allow to discuss the contents with the presenters afterwards. Maybe we should start with do-a-thons which do not have the highest like-scores as in later session there's a tendency not to participate in do-a-thons anymore which might change if those are the 'more insteresting' ones. If we have to limit participation numbers every time we probably should discuss to increase the participation number or to limit e.g. the number of participants from each institution to allow for a more diversity among participants. Agree Fully Agree Fully Agree Neither agree nor disagree Agree Neither agree nor disagree Neither agree nor disagree Fully Agree Fully Agree Fully Agree Many thanks to both of you! You did an amazing job! The spontaneous working groups on the green floor Access to electricity Neither agree nor disagree Disagree once 2 days First come first serve (like today);Quotas based on country affiliation (aim: lead to a more diverse audience) yes 5 10 Postdoc (temporary contract)
2018/06/08 11:47:21 AM GMT+2 Agree Neither useful nor useless Very useful Useful Useful Useful Very useful Interactive parts first, then passive parts (talks) The do-a-thons can be a little overwhelming even for folks that have not worked on the topic before, but have some idea of what to do. Such folks would not have been able to contribute much. It would be useful if the do-a-thons continue to be active between workshops. The workshops will still be relevant to resolve things that need face to face interactions (or to accelerate something). Fully Agree Agree Agree Agree Neither agree nor disagree Fully Agree Agree Agree Fully Agree Fully Agree Power sockets were not always available. Something to consider for future workshops. Got to know the community well. Sufficient room for interactions. Good start to do-a-thons. While there some learn-a-thons, there could have been more, and could have been planned a bit more in advance. Agree Agree once 3 days Participant interest in suggested contributions (aim: make the workshop sessions more productive);Quotas based on country affiliation (aim: lead to a more diverse audience) yes 1 2 Senior or staff scientist (permanent contract)
2018/06/08 11:47:22 AM GMT+2 Fully Agree Useful Very useful Useful Useful Very useful Neither useful nor useless Passive parts (talks) first, then interactive parts I like the idea of the poster session but it should include a pitch of the posters. It might also be useful to combine it with the Lightning Talks and provide the option to also have a poster. Neither agree nor disagree Fully Agree Fully Agree Neither agree nor disagree Agree Neither agree nor disagree Fully Agree Fully Agree Fully Agree Fully Agree We should find a better way to assign slots to do-a-thons in order to find the best solution for everyone to attend the do-a-thon they are interested in. Getting to know people The second day was too heavy with 4 session slots. Neither agree nor disagree Disagree twice 3 days First come first serve (like today) no 3 4 Researcher
2018/06/08 11:48:18 AM GMT+2 Fully Agree Useful Useless Neither useful nor useless Very useful Useful Useful Lightning Talks should be in the beginning as they lay a groundwork for discussions. To shorten that, one could thikn about having 1-minute-1-slide lightning talks, i.e. pitches. The rest was amazing! Neither agree nor disagree Fully Agree Fully Agree Agree Agree Neither agree nor disagree Neither agree nor disagree Agree Agree Fully Agree The first do-a-thon session on Thursday was shorter than the others. While it was obviously in the schedule, people prepared the do-a-thon for 90 minutes. Maybe it's good to have them all the same length. (But I have no definite opinion here, just mentioning a possibility.) Hard to single out something, as it was very well organized. Congrats! Maybe it would be good to find a different way to sort the do-a-thons to the different slots. For example people could provide an ordering of importance of the things they want to visit (and thus prefer not to be in parallel). Neither agree nor disagree Fully disagree twice 3 days First come first serve (like today);Quotas based on country affiliation (aim: lead to a more diverse audience) no 1 2 PostDoc and Entrepreneur
2018/06/08 11:50:06 AM GMT+2 Agree Useful Passive parts (talks) first, then interactive parts Fully Agree Fully Agree Fully Agree Agree Fully Agree Fully Agree Fully Agree Fully Agree Fully Agree Fully Agree Just excellent. You did a great job! Talking to people, fuelled by do-a-thons, lightning talks and speed-dating. Reserve a bit more time to the speed dating, so it's possible to talk to more people in that format. It was really helpful to find people you'd be interested to talk in more depth with. Agree Disagree twice 2 days Participant interest in suggested contributions (aim: make the workshop sessions more productive);Quotas based on country affiliation (aim: lead to a more diverse audience) yes 4 6 Postdoc (temporary contract)
2018/06/08 11:52:20 AM GMT+2 Agree Useless Useful Useful Useful Useless Useful Interactive parts first, then passive parts (talks) Agree Agree Agree Agree Fully Agree Fully Agree Fully Agree Fully Agree Fully Agree Fully Agree Interactive sessions (do-a-thons, speed dating) were the most productive parts. For the next workshop we could organise only this type of sessions. Organise the do-a-thons based on people participation, so to minimise overlaps Neither agree nor disagree Neither agree nor disagree once 2 days Participant interest in suggested contributions (aim: make the workshop sessions more productive) yes 1 1 Postdoc (temporary contract)
2018/06/08 11:58:08 AM GMT+2 Fully Agree Useful Useful Neither useful nor useless Useful Very useful Very useful A daily mix of interactive and passive parts would be great. Start the day passive and end it active. Fully Agree Neither agree nor disagree Agree Neither agree nor disagree Agree Fully Agree Disagree Neither agree nor disagree Fully Agree Agree Thanks a lot for organizing and hosting this event! The informal and formal exchange of ideas. I would love to have a mix between interactive do-a-thons and short inputs from talks. Not only throughout the workshop, but also within one day. Fully Agree Fully disagree twice 2 days First come first serve (like today) no 2 8 Postdoc (temporary contract)
2018/06/08 5:22:00 PM GMT+2 Fully Agree Very useful Very useful Very useful Very useful Very useful Interactive parts first, then passive parts (talks) Agree Neither agree nor disagree Disagree Neither agree nor disagree Agree Fully Agree Agree Fully Agree Fully Agree Fully Agree I sometimes had a hard itme to find information in the beginning, for example on the timetable of the do-a-thons. Rest was perfect. Speed-dating was a great idea, the focus on do-a-thons was also good. Fully Agree Agree more than twice a year 3 days First come first serve (like today) no 3 4 Postdoc (temporary contract)
2018/06/09 3:53:38 PM GMT+2 Fully Agree Neither useful nor useless Very useful Useful Useful Very useful Very useful Interactive parts first, then passive parts (talks) Agree Agree Agree Fully Agree Fully Agree Fully Agree Fully Agree Fully Agree Fully Agree Fully Agree speed dating Fully Agree Fully Agree once 2 days Participant interest in suggested contributions (aim: make the workshop sessions more productive);Quotas based on country affiliation (aim: lead to a more diverse audience) no 2 2 PhD student
2018/06/09 7:59:55 PM GMT+2 Agree Very useful Useful Useful Useful Neither useful nor useless Very useful Passive parts (talks) first, then interactive parts Fully Agree Fully Agree Fully Agree Agree Agree Fully Agree Agree Fully Agree Fully Agree Fully Agree Fully Agree Fully Agree once 2 days Participant interest in suggested contributions (aim: make the workshop sessions more productive) yes 1 10 Assistant professor / lecturer / junior professor
2018/06/09 10:55:51 PM GMT+2 Agree Useful Very useful Useful Useful Neither useful nor useless Neither useful nor useless Passive parts (talks) first, then interactive parts Agree Fully Agree Fully Agree Neither agree nor disagree Agree Agree Agree Agree Agree Agree Fully Agree Fully Agree once 2 days Participant interest in suggested contributions (aim: make the workshop sessions more productive) no 2 3 PhD student
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openmod-zurich-2018-feedback.ipynb
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"source": [
"# Zürich 2018 openmod workshop evaluation\n",
"\n",
"The following shows all data from the openmod workshop Zürich 2018. Often the data is categorised into two groups of workshop attendees: those that are new to openmod workshops, and those that are more regular attendees. This way we try to understand whether there are differences in the perception of the workshop."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Getting ready"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"%matplotlib inline\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt\n",
"from matplotlib.ticker import MaxNLocator\n",
"sns.set(rc={\"figure.figsize\": (14, 7)})\n",
"sns.set_context(\"notebook\")"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"def _is_a_comment(comment):\n",
" return str(comment).strip() not in [\n",
" \"nan\",\n",
" \"Interactive parts first, then passive parts (talks)\",\n",
" \"Passive parts (talks) first, then interactive parts\"\n",
" ]\n",
"\n",
"def print_comments(column):\n",
" for comment in filter(_is_a_comment, data[column].values):\n",
" print(\"--------\")\n",
" print(comment)\n",
" print(\"--------\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"def categorise_openmod_age(age):\n",
" if age == 0:\n",
" return \"one\" # the question was asked imprecisely, but most people seemed to assume Zurich is included\n",
" elif age == 1:\n",
" return \"one\"\n",
" else:\n",
" return \"more than one\"\n",
" \n",
" \n",
"def categorise_programme_order(order):\n",
" if order in [\"Interactive parts first, then passive parts (talks)\",\n",
" \"Passive parts (talks) first, then interactive parts\"]:\n",
" return order\n",
" else:\n",
" return \"Other\""
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"# questions\n",
"WORTH_MY_TIME = \"The workshop was worth my time [Was it?]\"\n",
"PROGRAMME_OPINION = [\n",
" \"What do you think about the programme? [Keynotes]\",\n",
" \"What do you think about the programme? [Speed dating session]\",\n",
" \"What do you think about the programme? [Poster session]\",\n",
" \"What do you think about the programme? [Do-a-thons]\",\n",
" \"What do you think about the programme? [Lightning talks]\",\n",
" \"What do you think about the programme? [Workshop booklet]\"\n",
"]\n",
"PROGRAMME_ORDER = \"My preferred order of sessions is:\"\n",
"PROGRAMME_ORDER_CATEGORIES = \"My preferred order of sessions is: \"\n",
"PROGRAMME_COMMENTS = \"Do you have specific comments about the programme?\"\n",
"ORGANISATION_OPINION = [\n",
" \"What do you think about the organisation of this workshop? [There were enough breaks between sessions]\",\n",
" \"What do you think about the organisation of this workshop? [I received timely announcements]\",\n",
" \"What do you think about the organisation of this workshop? [I could find all necessary information easily]\",\n",
" \"What do you think about the organisation of this workshop? [The forum should be used more heavily for workshop and session organisation]\",\n",
" \"What do you think about the organisation of this workshop? [Organising do-a-thons on the forum was effective]\",\n",
" \"What do you think about the organisation of this workshop? [The way in which do-a-thons were assigned to slots was fair]\",\n",
" \"What do you think about the organisation of this workshop? [The group size of the do-a-thons was appropriate]\",\n",
" \"What do you think about the organisation of this workshop? [The rooms were appropriate]\",\n",
" \"What do you think about the organisation of this workshop? [The lecture theatre was appropriate]\",\n",
" \"What do you think about the organisation of this workshop? [The poster / green floor area was appropriate]\"\n",
"]\n",
"ORGANISATION_COMMENTS = \"Do you have specific comments about the organisation of this workshop?\"\n",
"BEST_THING = \"Any comments on what was the best thing about this workshop?\"\n",
"IMPROVEMENTS = \"Any comments on what needed the most improvement at this workshop?\"\n",
"WORKSHOP_ORGA_GENERALLY = [\n",
" \"What do you think about the organisation of this workshop? [I would be willing to pay a workshop registration fee of around 50 EUR.]\",\n",
" \"What do you think about the organisation of this workshop? [I would prefer more top-down organisation by the organisers ahead of time (e.g., setting up all the do-a-thons to specific slots, more akin to a traditional conference)]\"\n",
"]\n",
"WORKSHOP_FREQUENCY = \"My preferred frequency of openmod workshops is\"\n",
"WORKSHOP_LENGTH =\"My preferred length for an openmod workshop is\"\n",
"APPLICATION_PROCESS = \"What application process for the workshop would you prefer (multiple selections possible)\"\n",
"ONLINE_ONLY = \"I would attend an online-only openmod workshop\"\n",
"OPENMOD_AGE = \"Number of openmod workshops attended\"\n",
"OPENMOD_AGE_CATEGORIES = \"Number of openmod workshops attended (categories)\"\n",
"ENERGY_AGE = \"Years experience with energy system modelling\"\n",
"CAREER_LEVEL = \"Career level\"\n",
"\n",
"# answers\n",
"AGREEMENT = [\"Fully disagree\", \"Disagree\", \"Neither agree nor disagree\", \"Agree\", \"Fully Agree\"] \n",
"USEFULNESS = [\"Very useless\", \"Useless\", \"Neither useful nor useless\", \"Useful\", \"Very useful\"]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Read and preprocess the data"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"data = pd.read_csv(\"./openmod-zurich-2018-feedback.csv\")\n",
"data[OPENMOD_AGE_CATEGORIES] = data[OPENMOD_AGE].map(categorise_openmod_age)\n",
"data[PROGRAMME_ORDER_CATEGORIES] = data[PROGRAMME_ORDER].map(categorise_programme_order)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Generally about the workshop and the programme"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
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FVbJkSRUpUkR9+/ZV79695enpqYYNG6phw4YaN26cJMnT01Pjx4+X\nu7u7PvroI+3Zs0cWi0Xdu3dXixYtbL0JYQNFixZV586dNWbMGJUtW1bTp0/XkCFDdObMGZnNZvXs\n2VMtW7bUpk2btGTJEut6M2bMkJeXl0aPHq1Dhw6pVKlSio+P15w5cxQeHq6kpCQlJSUpIiJCn3zy\nyW1j5bfffrvjuMJf16BBA2VlZWnJkiV69dVXsz22aNEiffHFF3JwcFDLli312muvaciQIWrZsqU2\nb96s48ePW3fqt27dqk2bNikpKUn9+/dX48aNtXHjRi1YsECFChXS448/rg8++EBhYWHav3+/UlNT\nFRoaar2MQEpKit0/Z5o2baq6devq1KlTKlmypMLCwpSVlaWhQ4fq7NmzyszM1BtvvKGWLVvKZDLJ\ny8tL165d0/z58+Xo6ChJOnHihIYOHSpXV1e5urrKw8ND0n8/o5csWaK1a9eqUKFCqlu3roKDg3X0\n6FFNnDhRWVlZunbtmoYNG6a6detqxYoVWrJkiTw8POTs7KyWLVtKklatWqWsrCz169dPSUlJt23T\n5ORkhYSEKDExUZI0bNgwVa1a1UYjpmCLiYmRr6+vunTpokGDBql9+/b8LcR9e1D7dn+09b9jUxLj\nMw8IOzZ0/PhxmUwm6+2/MoX58ssvq3379vrggw+0Y8cO1a9fP9ubYc2aNQoMDNTAgQN14MABxcTE\nZFt/y5YtatKkiXr27KlvvvlG165dU2Jiol5++WU1bdpUFy5ckMlkUlBQkEaOHKnJkycrICBA06dP\n14ULFyRJCQkJ1jdhp06dNH78eFWpUkUrVqzQJ598orp16youLk7Lli2T2WxWp06d9Mwzz6h48eJ5\n3HLIDyVLllRiYqLKli2rlJQUxcTEaNWqVZJk/dCOjY3VvHnz5OrqqhEjRmjnzp1yc3NTUlKSVq5c\nqStXrqhp06bWNhs0aKDu3btr27Ztdxwrw4cPv21cDRw4MF+evxGMGjVKHTt21LPPPmu97/jx49qw\nYYM+//xzOTg4qHv37tke79Wrl44ePaq+ffsqLCxMZcqUUWhoqGJiYqzv87CwMK1atUqurq4aNGiQ\ndTz4+/tr2LBh2Wo4ffq03T9nzp49q4ULF8rHx0ddunTRzz//rEOHDsnLy0tTpkxRSkqK2rdvrwYN\nGkiSWrVqpSZNmmSre8aMGerXr5+eeeYZzZs3TydPnsz2+OrVqzV8+HDVqVNHn3/+uTIyMnT8+HEF\nBweratWqWr9+vVavXi0/Pz998sknWrt2rQoXLqzXXnvN2kbx4sU1Z84cJSUlKSgo6LZt+sMPP6hB\ngwYKCgpSbGysPvzwQw4rtJE/ZjP9/f1VuHBhHThwQKNGjeJvIe7Jlvt20p3HZu3atdlXywPCjg3d\naaozNjY22+2cLnNUrFgxPfnkk9q5c6dWr16td955J9vjx44d03PPPSdJql27tpycsr+UvXr10ty5\nc/X666+rTJkyqlWrlkqVKqWFCxdq8+bNKlasmDIyMiRJFy9eVEBAgCTp8ccf14YNGyRJFSpUsL4J\nT5w4odGjR0uS0tPTValSJR09elSHDx+2vukzMjJ07ty5AvUGMpJz586pdevWOnbsmIoVK6bhw4dr\n+PDhSklJUevWrSXdCkTBwcEqWrSoTp48qTp16lj/L0klSpSQv7+/tc1KlSpJUo5j5U7jCvfPy8tL\nQ4cO1ZAhQ1S3bl1Jt7b9uXPn1L17d0nS1atXdebMmRzbePTRRyVJpUqV0s2bN3XmzBlduXLFetjb\n9evXdfbsWUm64+uVH58zXl5e8vHxkST5+PjIbDbrxIkTevrppyXd+jytXLnyXes+duyYatWqJUmq\nW7fubWFnwoQJ+vTTTzV16lTVqVNHFotFpUuX1uzZs+Xi4qLr16+rWLFiOnPmjCpXrixXV1dJ0j/+\n8Q9rG3/0m9M2PXr0qHbt2qWNGzdKkq5du5bTy4Q8uHr1qrZv364rV65o0aJFSklJ0eLFi/lbiFyx\n5b5dTmOzdu3ajM88IOzYWZEiRZSQkCBJio+P19WrV3NctlOnToqMjFRiYqKqVauW7TF/f3/99NNP\neumll/TLL79Ydyj+sH79erVr107BwcGKiIhQVFSUkpOTVadOHQUFBWnXrl3atm2bJKls2bI6fvy4\nqlSpogMHDljbKFTov+evqFSpkiZNmqRy5crpxx9/VEJCgpydnVW/fn2NHTtWWVlZmj17tipUqJDn\nbQT7S0lJ0YoVK9StWzdJt3ZMDx8+rFmzZslsNqtRo0Zq2rSpZs6cqe+++06S9MYbb8hisSggIEDr\n1q2TdOuD+s8f+n/8dsTf3/+OY+VO4wp507hxY3399ddas2aNBg0aJH9/f1WpUkWffPKJHBwctGDB\nAgUGBmrTpk2Sbr3Ps7KyrOv/7+99KlSoIB8fH3366adydnbW6tWrVb16dW3ZsiXbZ8QfPv30U7t/\nztzpN0qVK1fW3r171aRJE6WkpOjo0aPW9e60vL+/v/bv36+GDRvq0KFDtz0eFRWl0aNHq0iRIurZ\ns6f279+vCRMmaOrUqapcubJmzpyp+Ph4+fr66uTJk7p586YKFy6sgwcPWr8A+OO55rRNT506pdat\nW6tVq1a6fPmy9cQReLCio6P1z3/+U8HBwZKkGzdu6MUXX5SLiwt/C3FfHtS+XU5j88qVK+yr5QFh\nx85q1qwpd3d3dezYUZUrV77rgKtdu7ZOnz5t3QH9s27duunDDz9U165d5e/vL2dn52yPP/bYYxoy\nZIjc3Nzk7OysMWPGKD4+XqNGjdL69evl6ekpR0dHpaWlaeTIkRo6dKh12TJlytzW36hRo6zHmEq3\nzvrm5+en3bt3KygoSKmpqXrppZdUrFixPG4h2MuuXbtkMplUqFAhZWZm6t1335WHh4diYmLk7e2t\nhIQEtW3bVm5uburRo4eKFSumunXrql27dnJzc1Px4sV18eJFtW/fXtu3b1eXLl1UqlQpubi43DYe\nGzdufMexcqdxhbwLCQnRrl27JEnVqlXTU089pa5duyotLU21atXK9h4vWbKk0tPTNWXKFLm4uNzW\nVokSJdS9e3eZTCZlZmaqfPnydz3e+4UXXngoPmc6deqk4cOHq2vXrjKbzerbt69KliyZ4/IjR47U\nwIEDNX/+fJUoUUJFihTJ9njVqlXVoUMHeXl5qUyZMqpdu7Zat26td955RyVLllTZsmWVmJioEiVK\n6M0331RQUJA8PT1lNpvl5OSU7QupnLZpr169FBISoqioKKWkpHCyEBtZsWKFJk+ebL3t6uqqpk2b\nqlSpUvwtxH15UPt2OY3NqKgo9tXywMGS01wb8l1WVpa6du2q+fPn23RgLlmyRC1atFCJEiU0ffp0\nOTs780cWuXbixAn9+uuvevnll5WYmKhXXnlF33777W3HIaNgKyifMxkZGYqMjFTv3r0l3fpiasCA\nAXryySfzuTLcS0EZo8hf97tvx/i8f8zsPKTOnj2rvn37qnPnzjZP4CVLllSPHj3k5uYmd3d3TZw4\n0ab9wVh8fHw0depULVy4UJmZmfrggw8IOrhNQfmccXJy0o0bN9SuXTs5OzurVq1aeuKJJ/K7LORC\nQRmjyD952bdjfN4/ZnYAAAAAGNLtvy4FAAAAAAMg7AAAAAAwJMIOAAAAAEMi7ADAn4wePVpt2rRR\ny5YtVbNmTbVp00Zt2rTRqlWrFBYWprCwsHytb/Xq1RoyZEiuln0Y6s0PUVFR+uKLLyRJQ4YM0erV\nq+3e74wZM7R169YH2r7JZFKTJk20Zs0a1atXz3rhQovFoqeeekrDhg2zLrtjx45sV3m/HyEhIfr5\n55+VnJysPn36WO+Pjo7WK6+8olatWql///5KTk7WggUL9Pzzz+d6bAKAvXA2NgD4k5EjR0qS4uLi\n9Nprr1kvmCqpQAaHv6N9+/apXr16+dpv//79bdLHuHHjVL9+fc2dO1fHjx9XQECADh8+rKpVq+o/\n//mPdbm9e/fq6aefzlNff1z3Ki4uTkeOHJF064KJkydP1po1a+Tt7a2xY8cqLCxMQ4cOVfHixbV7\n9+489QkADxozOwDwFxw8eFBdunTRCy+8YA0/mZmZmjBhgtq1a6fWrVtrwYIFt63XqlUrnThxQpL0\n/vvvW0PV/v379dZbb0mS5s6dq5YtW6pVq1aaOHGiMjMzFRcXp+bNm6tr16564403srUZGhqq9957\nT5mZmZo0aZJat26ttm3bKjw8/K71ZmVlady4cXr55Zf1yiuvaN68eZKkmJgYvf766+rZs6eaNWum\nQYMGKS0tLVufvXr10rZt2yRJ06ZN07/+9S9J0sWLF/XKK69IkqZPn65OnTqpWbNmMplMunTpktLT\n0zVo0CC1bdtWbdu2VVRUVLZ2Dx06pI4dO0qSUlNTVbNmTetVwkeMGKGNGzfq0qVLevvtt9WqVSu1\na9dO27dvl3QrhPbs2VMtW7bUokWL9M0332jmzJnasWOHJOm7775Thw4d9MILL2j58uW3vTZhYWHW\nizQ3a9ZMa9euVXBwsJo3b64BAwbIYrFo0KBB2Wo2mUzZrmL+ww8/ZOv3jxmluLg4tWnTRgMHDlSr\nVq0UHBysZcuWqXPnzmrevLl1TBw8eFBdu3ZVu3bt1KNHD509e/a2Ov/sqaee0r59+yRJO3fuVJMm\nTVSqVClrez/++KOeeeYZZWRkaNiwYercubNefPFFvfPOO7p586ZSUlL01ltvqX379mrfvv0dZ6FM\nJpNiYmI0btw4Xbx4UX369JGDg4PGjBkjb29vSVK9evX0+++/37VWAMhPhB0A+AsuX76sf//731q1\napXmz5+vlJQU607wmjVrtHLlSm3dulV79+7Ntl6jRo2s37wfPXrUuqO6Y8cOPf/889q2bZu++eYb\nrVq1SmvWrNHp06e1bNkySdKpU6c0ZcoUffbZZ9b2wsLCdOHCBU2ePFm///67tm/frujoaC1dulTH\njx+X2WzOsd6lS5fq/Pnzio6O1ooVK7R582Z99913km6Fr5CQEG3atElms1lLliy57Xns2rVL0q3Z\ng5MnTyozM1M7duxQo0aNdPr0aZ08eVLLli3TV199JR8fH0VHR2v//v26evWq1q5dq4iIiNu2z6OP\nPqqLFy8qOTlZe/f+Xzt3GhPV1QZw/D8LIIgmCKIzuBDQGBuVxQAjm4ONbVxwhJGIRtSGYOISExW0\nNbhEJdHEJVJNa1KXgCYiLhgZoe6iLTNQLS5oMBgxYlyiGNRahRnm/WC4ZQS0to0a3+f3aZZ7znnu\nuZPJfe5z7v3NpUpgtVqJi4tj9erVGAwGjhw5Qm5uLkuXLuXRo0cANDU1cfToUdLS0hg1ahTz588n\nLi5O+a6wsJBt27axadOmDo/rjRs3yM/PZ/Xq1Xz33XdkZGRQXFzMtWvXqKmpwWw2K1W+u3fv0tDQ\nQEhIiNI+Ojq63bitampqyMjI4PDhw1y8eJG7d+9SUFDA+PHjKSgooKmpiezsbDZs2MChQ4f45ptv\nWLZsWYdxtjIYDC7JTlxcHDExMZw7d46mpiZu377NkCFD+P3333Fzc6OgoIDjx4/z7Nkzzp49y/Hj\nxwkICODgwYPk5OS0Ox5tZWdn4+/vz9atW9Hr9YwaNQp4neBu3rwZs9n81liFEOJjkmRHCCHeQ1xc\nHO7u7vTo0QMfHx8aGxspLy/n1KlTmEwmUlJSuH//PjU1NS7tWpOd2tpaBgwYgFqt5vHjx5SVlWE0\nGrFarYwbNw5PT0+0Wi1ms1lJjnx9fenTp4/SV1lZGVu3bmXWrFlotVp69eqFh4cHqamp5OXlkZmZ\niYeHR6fx2mw2kpKS0Gg0eHp6kpiYqIwVERFBUFAQKpUKk8mkJDatjEYj5eXlPH/+HIBBgwZRXV1N\nWVkZCQkJ9O/fnyVLllBYWMjatWupqqrixYsXDBw4kFu3bpGenk5paSmLFy926VelUhEdHY3NZsNq\ntTJjxgwqKyupra1Fp9Ph7e2N1Wpl0qRJAPTt25eQkBClujJs2LBOj9mXX36JSqVi4MCBPHnypMNt\nYmJi0Gq16PV6evbsyYABA5S5bWxsJCoqiocPH1JfX09RUREmk+ntP5Q2/Pz8+OKLL1Cr1fTu3ZsR\nI0YAoNfrefr0KXV1ddy5c4fZs2djMplYv379Oys7UVFRVFVV8fz5cx49ekS/fv2Ijo6moqKCy5cv\nEx4ejlqtJiIigqlTp7Jnzx5ycnKoq6vjxYsXhIWFceLECebMmcOVK1dc7sn5O5qbm0lPTyc9PZ2R\nI0e+V1shhPiQ5J4dIYR4D1rtX3+bKpUKp9OJw+EgKyuLr776CoCGhga6du3q0i4sLIxvv/2WX3/9\nlcjISHx9fSktLcVut6PX62lpaWk3lt1uB6BLly4unwcEBLBgwQJWrVrF3r170Wq1FBYWUlFRQVlZ\nGampqeTn53ca75tjte4DgEajcfm87XsAnU5HS0sLx44dIzw8HD8/P6xWK9XV1YSFhXH16lUWLVrE\nzJkz+frrr1Gr1TidTnx8fLBYLPzyyy+cPXuWpKQkLBYL3bt3V/puTaSuXr3KTz/9REFBAadPnyYh\nIUGJp7O435yjtlr3QaVSdbqNm5ub8rrtnLWdu4kTJ2KxWCgpKWH79u2d9vUmd3f3DuNp1dLSQp8+\nfZTKkcPhUCpWnfHx8cHLy4uSkhKioqIACA0N5ebNm8oSNoCTJ0+Sm5vL9OnTSU5O5smTJzidTgID\nAykpKeHcuXOcPn2aHTt2cPToUdTqv3cN9NKlS/j5+UlVRwjxyZPKjhBC/EsGg4F9+/bR3NzMH3/8\nwdSpU6mqqnLZRqvVMmzYMPLz84mMjMRgMPDjjz8qV8UNBgMWi4WXL19it9s5cOAABoOhw/GCg4NJ\nSUnB09OTPXv2cO3aNaZNm0ZERARLliwhODiYW7duvTXeoqIiHA4Hf/75J0eOHFFOmC9cuMCDBw9o\naWmhqKiI+Pj4du3j4+P54YcflP3Iz88nJCQEjUZDZWUlkZGRTJkyhcDAQM6cOYPD4eDkyZNkZWVh\nNBrJzs7Gy8uLe/fuufQbExPD+fPnUavVdOvWjcGDB5OXl4fRaFTi3r9/PwB37tzh4sWLhIaGtotP\no9EoSdB/KTk5mb1796LT6ejVq9d/Nm5QUBCNjY3KUrIDBw6QmZn5znYGg4Fdu3YRGxsLvP6NBQUF\nUVxcrCQ75eXljBkzBrPZTPfu3bHZbDgcDnbv3s3333/PmDFjWLFiBQ0NDUq17k1arVZJvFv169eP\nRYsWvfe+CiHEhyaVHSGE+JdSU1O5ffs2SUlJ2O12kpOTleShrZEjR1JZWUlwcDA9e/bk8ePHyol8\nQkIC169fx2w2Y7fbiY2NZdq0aW+9+XvlypVMmTKFoqIiQkNDGT9+PJ6enoSHhxMfH091dXWH7SZP\nnkxdXR0mk4nm5mYSEwFSAM0AAAHBSURBVBMZPXo0NpsNf39/Fi9ezIMHD4iJiVEeGtCW0Whk586d\nDB8+HC8vL5qbm5Xqy9ixY5k3bx6JiYkADBkyhPr6eubOncuxY8cYN24cHh4eTJgwgUGDBrn06+3t\nTe/evRk6dCjw+mS+traWwMBA4PWjkJcvX648SnrNmjX4+/u3iy86OpqNGzfSrVu3Tufun9DpdOh0\nOpKSkjr8/p+O6+7uzubNm8nJyeHVq1d4e3uzbt26d7YzGAzk5eW5JMWxsbHk5eUREBAAQEpKCpmZ\nmVgsFtzc3AgPD6e+vp6MjAwWLlxIYmIiGo2GrKwslypbW76+vuj1etLS0pSK4ZUrVzh16pTyxDYh\nhPhUqZxvrgsQQgjxf8lms7FlyxblhFb8xel08vDhQ9LS0iguLm63NO1DSEtLY968eR0m0p+CgwcP\nUlFRwdq1az92KEIIoZBlbEIIIcQ7/Pzzz5hMJhYuXPhREp1W2dnZlJaWfrTxO7Nr1y5yc3M/dhhC\nCNGOVHaEEEIIIYQQnyWp7AghhBBCCCE+S5LsCCGEEEIIIT5LkuwIIYQQQgghPkuS7AghhBBCCCE+\nS5LsCCGEEEIIIT5L/wMFT+b5FiIpHgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10cc23b38>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"ax = fig.add_subplot(111)\n",
"_ = sns.countplot(\n",
" data=data,\n",
" x=WORTH_MY_TIME, \n",
" hue=OPENMOD_AGE_CATEGORIES,\n",
" order=AGREEMENT,\n",
" ax=ax\n",
")\n",
"ax.yaxis.set_major_locator(MaxNLocator(integer=True))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### What do you think about the programme?"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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SkqKkoFBQWSpHnz5unSpUvF1rud9l27dk3+/v7F7qtVq5ZCQ0M1cOBA1a9fXw0aNJAkPfHEE4qO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\nAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10cd4ecf8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure(figsize=(18, 16))\n",
"\n",
"for i, question in enumerate(PROGRAMME_OPINION):\n",
" ax = fig.add_subplot(3, 2, i + 1)\n",
"\n",
" _ = sns.countplot(\n",
" data=data,\n",
" x=question, \n",
" hue=OPENMOD_AGE_CATEGORIES,\n",
" order=USEFULNESS,\n",
" ax=ax\n",
" )\n",
" _ = plt.xlabel(question.split(\"[\")[1][:-1])\n",
" _ = plt.legend(loc=\"upper left\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Your preferred order of sessions"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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555+bbdu2mejoaGOMMbt37zYDBgxwzv/AgQPGGJNvPRY2r7xefPFF869//csY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\nAABgJWIHAAAAgJWIHQAAAABW+n9fmDBI0F3jQgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x110299550>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"_ = sns.countplot(\n",
" data=data,\n",
" x=PROGRAMME_ORDER_CATEGORIES\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### What's \"other\"?"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"--------\n",
"Mix between both\n",
"--------\n",
"I liked the mix of passive / interactive recurring\n",
"--------\n",
"Mixing things up, But generally input first at each day\n",
"--------\n",
"A mix\n",
"--------\n",
"Lightning talks + Speed-dating first\n",
"--------\n",
"I would've gone for option one, but some talks would've been useful to have up front in order to be able to discuss with the presenters later.\n",
"--------\n",
"A mixture of both depending on the format. Speed dating at the beginning. Maybe lightning talks on the first afternoon to allow to discuss the contents with the presenters afterwards.\n",
"--------\n",
"Lightning Talks should be in the beginning as they lay a groundwork for discussions. To shorten that, one could thikn about having 1-minute-1-slide lightning talks, i.e. pitches. The rest was amazing!\n",
"--------\n",
"A daily mix of interactive and passive parts would be great. Start the day passive and end it active.\n",
"--------\n"
]
}
],
"source": [
"print_comments(PROGRAMME_ORDER)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Do you have specific comments about the programme?"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"--------\n",
"Speed dating was a very nice addition, especially for new people to get to know others.\n",
"--------\n",
"having lightning talks earlier would allow to talk about projects over coffee and maybe even start working on new ideas right away\n",
"--------\n",
"The lighning talks should be on the first day, to get to know the projects and people.\n",
"--------\n",
"The days were feeling a bit short. More (or longer) \"a-thons\" could fit into one day\n",
"--------\n",
"a bit more structure for the do-a-thons would be nice to actually get things done\n",
"--------\n",
"The distribution of do-a-thons could be a more digitally collaborative. More voting options than just the heart (did it make a difference with the hearts?).\n",
"--------\n",
"short introduction to the do-a-thons would be good (though I agree that it is time saving to have that only on the forum); it was sometimes hard to track what takes place and where - The offline pinboard was helpful because more up to date\n",
"--------\n",
"Quick introduction into the do-a-thons would be nice - 1 min each or so.\n",
"--------\n",
"the keynote about open software was too general for the audience\n",
"--------\n",
"Maybe we should start with do-a-thons which do not have the highest like-scores as in later session there's a tendency not to participate in do-a-thons anymore which might change if those are the 'more insteresting' ones.\n",
"\n",
"If we have to limit participation numbers every time we probably should discuss to increase the participation number or to limit e.g. the number of participants from each institution to allow for a more diversity among participants.\n",
"--------\n",
"The do-a-thons can be a little overwhelming even for folks that have not worked on the topic before, but have some idea of what to do. Such folks would not have been able to contribute much. It would be useful if the do-a-thons continue to be active between workshops. The workshops will still be relevant to resolve things that need face to face interactions (or to accelerate something).\n",
"--------\n",
"I like the idea of the poster session but it should include a pitch of the posters. It might also be useful to combine it with the Lightning Talks and provide the option to also have a poster.\n",
"--------\n"
]
}
],
"source": [
"print_comments(PROGRAMME_COMMENTS)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## About the organisation of this workshop"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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0SF999ZUuX74sNzc3vf32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gRduXJFQUFBaty4cYbLDA0N1ZkzZ3TixAlFRUWpQ4cO6tWrl/773/9qxIgR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\ntCnNNZKS5O3trSNHjkiS7brcu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GjdPLL7+sdu3aqXbt2nr55Zf18ssvKyIiQqGhoQoNDb2r5UZHRysgIOCu5r3b+XIy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\n7wAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x110cb0ac8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure(figsize=(18, 20))\n",
"\n",
"for i, question in enumerate(ORGANISATION_OPINION):\n",
" ax = fig.add_subplot(5, 2, i + 1)\n",
"\n",
" _ = sns.countplot(\n",
" data=data,\n",
" x=question, \n",
" hue=OPENMOD_AGE_CATEGORIES,\n",
" order=AGREEMENT,\n",
" ax=ax\n",
" )\n",
" _ = plt.xlabel(question.split(\"[\")[1][:-1])\n",
" _ = plt.legend(loc=\"upper left\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Do you have specific comments about the organisation of this workshop?"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"--------\n",
"Some groups were too big; the venue was fantastic, with a good variety of spaces.\n",
"--------\n",
"Set up do-a-thons with participants before\n",
"--------\n",
"Gr8 job guyz. \n",
"--------\n",
"Group sizes for do-a-thons are hard to control. So even if a session is designed for 10 people, if that session is popular, you would end up with 30 people in the room. So perhaps the leads can think about strategies to design the do-a-thons for both, small and large groups. Also, the installation requirements for do-a-thons could be sent earlier so people get some time to set up. But overall, a big thanks to all the leads of the do-a-thons. \n",
"--------\n",
"Don't know what 'fair' means in terms of assignment for do-a-thon..\n",
"--------\n",
"big thanks to the organisators!\n",
"--------\n",
"Perhaps for some do-a-thons a \"maximal number\" with flexible registration, as well for the distribution and allocation of workshops...\n",
"--------\n",
"Great job, thank you for hosting us!\n",
"--------\n",
"The doathons were partially either very crowded or quiet empty which makes it difficult for more interactive doathons to be planned. For the interactive doathons I would have liked a bit more structure. I liked that it was open in the discussion and work packages but it would be useful to decide on some intermediate goals and split large groups to work on such goals. Otherwise discussions get fuzzy and the workshop group splits up randomly.\n",
"--------\n",
"Many thanks to both of you! You did an amazing job!\n",
"--------\n",
"Power sockets were not always available. Something to consider for future workshops.\n",
"--------\n",
"We should find a better way to assign slots to do-a-thons in order to find the best solution for everyone to attend the do-a-thon they are interested in. \n",
"--------\n",
"The first do-a-thon session on Thursday was shorter than the others. While it was obviously in the schedule, people prepared the do-a-thon for 90 minutes. Maybe it's good to have them all the same length. (But I have no definite opinion here, just mentioning a possibility.)\n",
"--------\n",
"Just excellent. You did a great job! \n",
"--------\n",
"Thanks a lot for organizing and hosting this event!\n",
"--------\n",
"I sometimes had a hard itme to find information in the beginning, for example on the timetable of the do-a-thons. Rest was perfect.\n",
"--------\n"
]
}
],
"source": [
"print_comments(ORGANISATION_COMMENTS)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## What was the best thing of this workshop?"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"--------\n",
"Relaxed atmosphere, speed dating, flexible programme.\n",
"--------\n",
"Getting to know the openmod community in person\n",
"--------\n",
"Speed dating to break ice, general relax atmosphere\n",
"--------\n",
"Revised format actually worked quite well.\n",
"--------\n",
"Keynote by Aaron (as an outsider from the usual scientific community) - and not that the other agenda items weren't good\n",
"--------\n",
"Do-a-thons\n",
"--------\n",
"Everything was awesome\n",
"--------\n",
"Effective regarding the (planned) common future work - e.g. data standards, getting to a more common model structure as well as common data i/o routines\n",
"--------\n",
"Free dinner & wine\n",
"--------\n",
"lightning talks\n",
"--------\n",
"the people and the spitit\n",
"--------\n",
"networking with the open model community, making sure all are on the same page\n",
"--------\n",
"face-to-face meetings, lightning talks.\n",
"--------\n",
"speed dating\n",
"--------\n",
"Green space was awesome to meet and talk together. Break-out groups or do-a-thons don't seem to be too different. Interleaving learning sessions with break-out groups was a good decision.\n",
"--------\n",
"Nice atmosphere\n",
"--------\n",
"Bringing people together to attack a problem; attitude of people\n",
"--------\n",
"networking\n",
"--------\n",
"connecting with people, sharing of ideas and concepts\n",
"--------\n",
"networking, discovering different topics, inspiration on future works\n",
"--------\n",
"flexible x-a-thon possibilities\n",
"--------\n",
"Getting to know interesting people\n",
"--------\n",
"Lightning Talks + Speed-dating\n",
"--------\n",
"Chance to discuss, learn, develop common goals.\n",
"--------\n",
"interesting new tools and continuing discussions\n",
"--------\n",
"people and the open exchange of ideas\n",
"--------\n",
"I found trying to solve problems rather than just talk about them interesting.\n",
"--------\n",
"The large share of interactive sessions instead of frontal talks only, the Speed dating beforehand, the welcoming at ETH Zürich together with the social parts (the common dinner was a very nice idea).\n",
"--------\n",
"excellent venue, pleasant atmosphere\n",
"--------\n",
"The external speakers, creative do-a-thons\n",
"--------\n",
"The spontaneous working groups on the green floor\n",
"--------\n",
"Got to know the community well. Sufficient room for interactions. Good start to do-a-thons.\n",
"--------\n",
"Getting to know people\n",
"--------\n",
"Hard to single out something, as it was very well organized. Congrats!\n",
"--------\n",
"Talking to people, fuelled by do-a-thons, lightning talks and speed-dating.\n",
"--------\n",
"Interactive sessions (do-a-thons, speed dating) were the most productive parts. For the next workshop we could organise only this type of sessions.\n",
"--------\n",
"The informal and formal exchange of ideas.\n",
"--------\n",
"Speed-dating was a great idea, the focus on do-a-thons was also good. \n",
"--------\n",
"speed dating\n",
"--------\n"
]
}
],
"source": [
"print_comments(BEST_THING)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Any comments on what needed the most improvement at this workshop?"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"--------\n",
"Nothing really!\n",
"--------\n",
"Getting new members more involved\n",
"--------\n",
"Some \"do-a-thons\" tackled complex subjects where no real progress could be expected in such a short time; as such, should be given more time and/or prepared by a small group in advance.\n",
"--------\n",
"Max number of participants per organization. \n",
"--------\n",
"Better handling of coffeegate\n",
"--------\n",
"People knowing what the do-a-thons were all about and having the proposer actually prepare in advance\n",
"--------\n",
"Cookies etc. for Coffee Breaks, Rooms that are more designed for group work by default (\"round\" tables)\n",
"--------\n",
"slightly more prepared do-a-thon sessions with realistic target (defined before the workshop in the forum maybe); maybe longer sessions reasonable for some breakout groups (full morning / afternoon)\n",
"--------\n",
"maybe having a deeper introduction the first day for newcomers in the field (different existing tools, languages and their specificity)\n",
"--------\n",
"some common file sharing infra structure (with versioning?) for the x-a-thons...\n",
"--------\n",
"Could be better to post overview /schedule of each day, including ALL links, in ONE place at the BEGINNING of the day... although the planning-as-you-go was also funny and worked \n",
"--------\n",
"While there where enough breaks, sometimes they could've been slightly longer. Due to sesssion overruns I sometimes had back to back sessions with put lead to brain overload syndrome in some instances.\n",
"Granted longer breaks would probably just lead to longer overruns, so there might have to be a different way of dealing with this.\n",
"--------\n",
"We could collect conflicts in the workshop allocation beforehand through some poll.\n",
"--------\n",
"overview of the people and institutes which are there\n",
"--------\n",
"The doathons could be more structured (see previous comments).\n",
"The speed dating was very nice, only it was very loud where we undertook it (I am complaining on a high level here ;))\n",
"--------\n",
"Smaller groups for do-a-thons, to have the chance to actually create something together. Coding in groups can be very fun, but did unfortunately not take place... It would also be nice to have explicit tutorials on packages/tools hold by people who are familiar with them. That could help the community to share experience about coding and practical issues. \n",
"--------\n",
"Access to electricity\n",
"--------\n",
"While there some learn-a-thons, there could have been more, and could have been planned a bit more in advance.\n",
"--------\n",
"The second day was too heavy with 4 session slots.\n",
"--------\n",
"Maybe it would be good to find a different way to sort the do-a-thons to the different slots. For example people could provide an ordering of importance of the things they want to visit (and thus prefer not to be in parallel).\n",
"--------\n",
"Reserve a bit more time to the speed dating, so it's possible to talk to more people in that format. It was really helpful to find people you'd be interested to talk in more depth with.\n",
"--------\n",
"Organise the do-a-thons based on people participation, so to minimise overlaps\n",
"--------\n",
"I would love to have a mix between interactive do-a-thons and short inputs from talks. Not only throughout the workshop, but also within one day.\n",
"--------\n"
]
}
],
"source": [
"print_comments(IMPROVEMENTS)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Let's talk about future workshops"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
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MMWbWrFn2fZxVH9W5c2dz6NAhc/ToUdOgQQMzevRoY4wx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\nIAiCIAiCIAiCIAgvzP8BjL9j5r28LrAAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x110c76a90>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure(figsize=(18, 6))\n",
"\n",
"for i, question in enumerate(WORKSHOP_ORGA_GENERALLY):\n",
" ax = fig.add_subplot(1, 2, i + 1)\n",
"\n",
" _ = sns.countplot(\n",
" data=data,\n",
" x=question, \n",
" hue=OPENMOD_AGE_CATEGORIES,\n",
" order=AGREEMENT,\n",
" ax=ax\n",
" )\n",
" _ = plt.legend(loc=\"upper left\")\n",
"_ = fig.get_axes()[0].set_xlabel(\"I would be willing to pay a workshop registration fee of around 50 EUR.\")\n",
"_ = fig.get_axes()[1].set_xlabel(\"I would prefer more traditional, top-down organisation ahead of time.\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### How frequent and long should workshops be? How should we allocate places?"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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NvXv3ls1mU8uWLXX33Xerb9++CgsLk8Ph0N13360OHTp4aGvwe2XL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\nFStWlM1mu2C9yMg/KSqqsl5/fapsNpsWLpyrypV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hhBBi69atYsGC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\nY3HwAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1102cf9e8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"def application_process_stacked(data):\n",
" TINY_APPLICATION_PROCESS = {\n",
" \"First come first serve (like today)\": \"First come first serve\",\n",
" \"Random selection after application deadline\": \"Random selection\",\n",
" \"Participant interest in suggested contributions (aim: make the workshop sessions more productive)\": \"Contribution suggestions\",\n",
" \"Quotas based on country affiliation (aim: lead to a more diverse audience)\": \"Quotas\"\n",
" }\n",
" stacked = data.set_index([\"Timestamp\", OPENMOD_AGE_CATEGORIES])[APPLICATION_PROCESS].apply(\n",
" lambda x: pd.Series(str(x).split(\";\"))\n",
" ).stack().reset_index()\n",
" stacked.columns = [\"Timestamp\", OPENMOD_AGE_CATEGORIES, \"Level_2\", APPLICATION_PROCESS]\n",
" stacked[APPLICATION_PROCESS] = stacked[APPLICATION_PROCESS].map(TINY_APPLICATION_PROCESS)\n",
" return stacked\n",
"\n",
"fig = plt.figure(figsize=(18, 14))\n",
"\n",
"for i, question in enumerate([WORKSHOP_FREQUENCY, WORKSHOP_LENGTH, ONLINE_ONLY, APPLICATION_PROCESS]):\n",
" ax = fig.add_subplot(2, 2, i + 1)\n",
"\n",
" if question == APPLICATION_PROCESS:\n",
" plot_data = application_process_stacked(data)\n",
" else:\n",
" plot_data = data\n",
" _ = sns.countplot(\n",
" data=plot_data,\n",
" x=question, \n",
" hue=OPENMOD_AGE_CATEGORIES,\n",
" ax=ax\n",
" )\n",
" _ = plt.legend(loc=\"upper left\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## About yourself"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Number of openmod workshops attended"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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AgCKJHQAAoEhiBwAAKJLYAQAAiiR2AACAIokdAACgSGIHAAAoktgBAACKJHYAAIAiiR0A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\nSGIHAAAoktgBAACKJHYAAIAi/T9naJB6qCfdSgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x11047cda0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"ax = fig.add_subplot(111)\n",
"_ = sns.countplot(\n",
" data=data,\n",
" x=OPENMOD_AGE\n",
")\n",
"ax.yaxis.set_major_locator(MaxNLocator(integer=True))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Years experience with energy system modelling"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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AAHckX8GGlRkAAAAABVm+gk2VKlVksVhyPFeyZElt377dLkUBAAAAwJ+Rr2Bz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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x111ed5978>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"_ = sns.countplot(\n",
" data=data,\n",
" x=ENERGY_AGE,\n",
" hue=OPENMOD_AGE_CATEGORIES\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Your career level"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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7ypQpo4EDB+rrr7/WunXrlJycrJiYGL366qtau3atDhw4oJ49e+qJ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\nvQO9fAKQVdDC2wAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x112091eb8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"TINY_CAREER_LEVEL = {\n",
" \"Student (Masters or below)\": \"Student\",\n",
" \"PhD student\": \"PhD student\",\n",
" \"Postdoc (temporary contract)\": \"Postdoc (temporary)\",\n",
" \"Senior or staff scientist (permanent contract)\": \"Staff scientist\",\n",
" \"Assistant professor / lecturer / junior professor\": \"Assistant prof\", \n",
" \"Full (tenured/permanent ) professor\": \"Full prof\"\n",
"}\n",
"\n",
"fig = plt.figure()\n",
"ax = fig.add_subplot(111)\n",
"_ = sns.countplot(\n",
" data=data,\n",
" x=data[CAREER_LEVEL].map(TINY_CAREER_LEVEL).fillna(value=\"Other / Not told\"),\n",
" hue=OPENMOD_AGE_CATEGORIES,\n",
" order=[\"PhD student\", \"Postdoc (temporary)\", \"Staff scientist\", \"Assistant prof\", \"Other / Not told\"],\n",
" ax=ax\n",
")\n",
"ax.yaxis.set_major_locator(MaxNLocator(integer=True))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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