Daten öffentlich, frei verfügbar und nutzbar zu machen für mehr Transparenz, Innovation und Effizienz — das ist Open Data. ist die Schweizer Sektion der Open Knowledge Foundation.
Wir entwickeln Positionen und Projekte und tragen sie in die Medien.

You are invited to Hack for Ageing Well

You are invited to Hack for Ageing Well

We are excited to announce Hack for Ageing Well, a two-day hackathon that we are organizing together with the Active and Assistive Living (AAL) programme, which will take place towards the end of September in St. Gallen.

Ageing Well means staying healthy, independent and active at work or in our community during our whole life. It is also a strategy in public policy around disease prevention and early detection, with better use of technology and better training towards a more supportive and accessible environment. We will set out to Hack: to rethink, sketch, prototype or build on existing technologies that – through more usable and considerate design – better support our later years.

Additional information can be found on the website, where you can register to get involved:

Capacity is limited, so please book your (free) ticket if you are thinking of coming. We will soon have additional announcements of challenges and workshops for everyone who signs up!

We would appreciate suggestions if you have ideas of datasets or platforms, or would like to get your institution involved. This event is part of an international series, and we look forward to participants and datasets from around the world.

A collection of readings – by Barnaby Skinner

Dear friends & colleagues,
Dear Community,

I am currently attending a 3 month course at Columbia University in New York (together with Paul Ronga from Tribune de Genève and Mathias Born, Berner Zeitung). We are currently half way into the programme. It’s basically a course for journalists (but not just journalists), to enhance their data gathering, analytic skills (learning Python, Panda libraries, SQL, combining the three, scraping with BeautifulSoup and using Selenium for automated scraping, and much more).

I thought it would be a good moment to reach out to the community and share some of the readings and stories we’ve stubbled across. The main gist is that data driven society in the US may be a little more sophisticated than in Switzerland and Europe in general. But they are actually not all that far ahead. They are dealing with very similar problems and opportunities.

This is just a random collection of readings, which some of you might find inspirational or just offer a different perspective on data and how we deal with it.

Relational and Non-Relational Models in the Entextualization of Bureaucracy by Michael Castelle (a dry read at times, but very rewarding)

Literature is not Data: Against the Digital Humanities by Stephen Marche

Machine Bias by Julia Angwin, Jeff Larson, Surya Mattu and Lauren Kirchner

How the Data Sausage Gets Made: A story about scraping food recalls and regular expressions

How open data saved parkers in NYC millions of dollars

NICAR-L mailing list

Hope you are all well and look forward to any feedback or comments anybody has on the readings.

Kind regards,
Barnaby Thank you for your participation!


The annual conference took place on June 14 at the Casino de Montbenon in Lausanne and was a day of excellent exchange and mutual inspiration around topics of national and international importance. We want to thank everybody who made this conference so special: first and foremost, our amazing community, the fabulous speakers, supporting partners and generous sponsors. See the full programme and revisit the event through content curated here:

List of participants & photos The Excerpts

Quotes and impressions from the morning of the 2016 edition of the conference. For all presentations and downloads click here.

Text by Martina Kammermann, photography by Nicolas Fojtu, licensed CC BY 4.0.

#people #machines #algorithms

«Imagine a machine that is a hundred times smarter than you. You wouldn’t feel comfortable if this machine would be controlled by just a small group.»

Marcel Salathé, Associate Professor at EPFL

Open source algorithm challenges mentioned: @crowd_ai

#opensource #e-vote #transparency

“Realising open source is a daily internal struggle. There are very few people who know the subject, and it is very difficult for them to be understood. We need community.”

«Réaliser l’open source, c’est une lutte interne de tous les jours. Il y a très peu de gens qui connaissent la matière, et c’est très difficile de le faire comprendre. On a besoin d’une communauté.»

Anja Wyden Guelpa, chancelière d’Etat a Genève

#swiss #government #portal

“We will see soon new cantons on the portal. There will also be a user data requests forum.”

«On va voir des nouveaux cantons prochainement sur le portail. Il y a aura aussi un forum des souhaits pour des usagers.»

Jean-Luc Cochard, Bundesarchiv

#opendata #history #learning

“The hunter-gatherers have already picked the low-hanging fruit. We must create scalability.”

«Déjà les chasseurs-cueilleurs ont cueilli les fruits les plus accèssibles. Il faut créer des échelles.»

Simon Chignard, Auteur

#public #transport #openness

“The idea is to make as much data as possible public, including that which is not favorable to ourselves.”

«L’idée, c’est de rendre au public autant possible tous les données, compris celles qui ne nous sont pas favorable.»

Guillaume Leborgne, SNCF

#govtech #business #process

«Open data is sustainable when it makes data production dramatically easier for the people, not harder.»
Joshua Goldstein, Department of Better Technology

#civic #business #progress

«We are working on several reforms that will make startups that use government data more viable in the Ukraine. They should have tax reductions and many other privileges. And we are trying to persuade investors that these startups matter.»

Denis Gursky,

Reposted from Konferenz am 14. Juni in Lausanne!

Tickets are available on Eventbrite Eventbrite - Conference is Switzerland’s leading event convened around the issues of Open Data. This year will see a more diverse, dynamic, brighter and better Open Data Conference than ever before. Join us on June 14 at the Casino de Montbenon (Allée Ernest-Ansermet 3) in Lausanne to shape the national conversation among business executives, politicians, public officals, researchers and open data enthusiasts from all over Switzerland through a program that includes (among others):

Morning Program, moderated by Hannes Gassert (Salle Paderewski)
Lunch Break, Foyer
Parallel Afternoon-Workshops
Closing Speech & Apéro
Unconference in the Brasserie de Montbenon

We thank our partner EPFL and our sponsors Liip,, Hasler Stiftung, esri Suisse, Begasoft, Schweizer Informatik and Mediaktion for their tremendous support in realizing the conference.

P.S. Please note that the keynotes will be held in french and english language.

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