For our first venture to Scotland where better to be than BBC Scotland! We had 8 teams of hacks and hackers digging around the Scottish data beat. For this very special occasion the ScraperWiki digger has donned tartan! With this special digger, fire incidents, planning applications, public-owned property and gifts councillors’ received have been mined. […]
What’s occurin’? Loads in fact, at our first Welsh Hacks and Hackers Hack Day! From schools from space to catering colleges with a Food Safety Standard of 2, we had an amazing day. Check out the video by Gavin Owen: We got five teams: Co-Ordnance – This project aimed to be a local business tracker. […]
Calling journalists, bloggers, programmers and designers in Scotland! Scraperwiki is pleased to announce another hacks & hackers hack day: in Glasgow. BBC Scotland is hosting and sponsoring the one day event, with support from BBC College of Journalism. As with our other UK hack days, Guardian Open Platform is providing the prizes. Web developers and […]
[Video: courtesy of Cathal Furey and Dave Gunnigan.] “Dublin can be heaven, at a quarter past eleven and a stroll in Stephens Green, there’s no need to worry, there’s no need to hurry, you’re a king and the lady’s a queen…” Onwards and downwards we headed towards Dublin, as part of our UK & Ireland […]
Hot on the heels of our Leeds Hacks and Hackers Hack Day announcement, comes Dublin. Today, the booking page goes live for our Irish date on the Hacks and Hackers tour: Tuesday 16th November as part of the Innovation Dublin festival.
Tickets are now available for a new ScraperWiki’s event: Hacks and Hackers Hack Day Leeds, a chance for web developers and designers to pair up with journalists and bloggers to produce a number of projects and stories based on public data.
ScraperWiki is thrilled to announce its next event for journalists and programmers: Hacks and Hackers Hack Day Manchester, a chance for web developers and designers to pair up with journalists and bloggers to produce a number of projects and stories based on public data.