Photo by Hannes Gassert
The Beyond Government Data panel was an update on the current business climate for open data, especially relevant for those of us trying to make a living in the field. It seems we still have a ways to go to get to the level Hannes Gassert aspires to his with his request to move focus to opening data with the "most innovative potential", rather those with "least risk" in large organisations. Or maybe the next wave of makers and shakers will deal with this kind of question even better.
It was great to see Pavel Richter up on stage next, presenting the refreshed mission of Open Knowledge International (another great refresher is Paul Walshes talk at csv,conf,v3), and asking us to look back and think deeply about the progress Switzerland is doing in open data. A good look from the bottom-up, so to speak..
Despite the fact that everyone in the room seems to think we are making great strides, and as you can see above the really IS a lot of interesting progress - from Pavel's perspective we may indeed be starting to level off. While being the most open country is not really a race I care to run in, we may be running into a plateau of progress where the inherent Swiss culture of precision and secrecy has found a good nook for the open data community to live and keep busy in, and therein we shall stay. It's a sobering thought, and I wonder if it is shared by my colleagues and friends here.
Finally Prof. Martin Vetterli gave us a very enlightening and even quite amusing talk (the two usually go well together) about progress and barriers to Open Science (there was also a dedicated workshop earlier). There was so much content in his presentation, and my head was already so jam-packed with ideas, I'm going to need to make sure to review the slides and video. Some things are clear: everything will end up in the cloud, we shouldn't get totally dependent on our data providers, and people in science have been doing this Open thing for a long, very long time.
He also had a great slide about "automated detection of un-opened datasets" which is the kind of thing I really need to be doing. Will paste it in later. Here's another great quip:
We've got our work cut out for us. See you at the apéro / at the next hackathon / at Open Knowledge 2018 next year!