During the Data Innovation Summit, we asked you to fill in a short survey. Many among you were kind enough to do so. Below is a brief presentation of the results.
There were 85 responses; since it was a short survey, most respondents went to the end, as shown in he bar graph below. There is something of a ‘dip’ where we asked for the Brussels Data Science Meetup activities you would attend – probably we had quite a bit of visitors who came specifically for the Summit, and aren’t attending any regular monthly meetings.
Number of responses to individual questions/question groups
Where were the responses from?
SurveyMonkey reports the IP addresses from which the responses were made. These were used to find an approximate latitude/longitude using FreeGeoIP (http://freegeoip.net/), and these locations were plotted on the Google map below.
Locations from where the surveys were filled
The vast majority of surveys were filled in Brussels, with some more coming from larger cities in the Flanders. Interesting to note is the lack of responses from the South of the country. Worth further investigation.
Date and time the Survey was filled in
Another piece of information we get from SurveyMonkey is the date and time of day the survey was filled. Below is the graph showing the time of day.
Time of day the survey was filled
The plot above has the x axis in GMT – one hour earlier than time on the clock in Brussels during the period of the survey. Still, we agree with Nele in her analysis of the main Survey that Data Scientists aren’t really that nocturnal (except for some, of course, as the time of posting this analysis might tell you).
The next three questions asked you which presentations you liked best. The results of these three questions were pooled, and the pooled votes counted. There were many presenters that received at least one vote, the distribution had a very long tail to the right. Here are the top five, with the number of votes they received:
- Kris Peeters: The people aspect of Data Science (16)
- Elena Tsiporkova: Data Innovation Lab (15)
- Toon Vanagt: How Open Data allows faster innovation (14)
- Hans Constandt: The disruptive Role of startups in Data Innovation (13)
- Steven Beeckman: Government and Data (11)
In the open-answer part of this question, we asked you for suggestions for presentations that were not on the programme, but that you would have liked. We received very useful suggestions. Several people would have liked more technical talks, others asked for more use cases.
Format of the presentations
There were no clear ‘winners’ in the question what your preferred format of the presentations was. In the plot below, we show a series of box plots, for the preference for each of the formats. The thick line in a box plot corresponds to the median; 12-minute presentations were slightly more popular than the others. The ‘box’ in a box plot represents the interquartile range (the lower edge is the 25% quartile, the upper the 75% quartile). Clearly the ‘Ignite’ format has a very wide spread: some people like it best, others least.
preferences for the different formats of presentations
In the open-ended part of this question, several people commented on the fact that there just too many Ignite presentations, which made for a very fast-paced day, difficult to keep attention up. There were several suggestions to include at least some longer, in-depth presentations of 30 minutes. As an alternative, or complement to Ignite presentations, some suggested ‘posters’ – a very popular format in scientific conferences, in which authors do not present orally, but put their ideas on a single A0 poster. These posters are then on display throughout the meeting, and can be seen during the breaks; usually, there is at least one extended break in which people have time to look at the posters.
Both venue and location scored very high, as is apparent from the series of box plots below. Unfortunately we failed to include a possible response ‘Didn’t use/Didn’t take part’ – so it’s difficult to interpret the lower scores. For example, many people arrived after breakfast- they might very well have given a ‘neutral’ score to this part of the event, so artificially decreasing the score.
Scores on appreciation of different logistics aspects
Out of the 85 respondents, 60 stated that they were passive members, 19 active members, with the rest either not responding or stating explicitly that they were not a member of the community. Many did expect to participate in one or several of he planned events, as shown in the bar graph below.
Number of people planning to attend the different planned events
Again, we see a fairly large proportion of respondents stating that they would not attend any of the monthly activities, as shown in the bar graph below. So these people came specifically for the Summit
Number of people planning to attend 0, 1… 6 (=all) events
This is somewhat in contrast with what is shown in the next bar graph: most people stay in touch through the Meetup site – though the pages specifically on the Data Innovation Summit came as a close second
Number of people per communication channel
Once again, thanks to all those who took the time to respond. Your answers will certainly make it easier to organise the next Data Innovation Summit. Especially the suggestions were very valuable, and will certainly be taken into account when planning for a possible future installment.
On a technical note: the analysis was done using R; all graphs were created with the ggplot2 package. There is a MarkDown document which creates even more graphs but unfortunately can’t be meaningfully published on this blog site. If you are interested contact me through firstname.lastname@example.org
Edward Vanden Berghe