Dear friends & colleagues,
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
http://computationalculture.net/article/relational-and-non-relational-models-in-the-entextualization-of-bureaucracy (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.
The annual Opendata.ch/2016 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:
Quotes and impressions from the morning of the 2016 edition of the Opendata.ch conference. For all presentations and downloads click here.
#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
— Hans Ulrich Wiedmer (@JohnWiedmer) June 14, 2016
#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
— Heiko Linke (@hlinke) June 14, 2016
#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
— Bundesarchiv (@CH_Bundesarchiv) June 14, 2016
#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
— Stefan Oderbolz (@odi) June 14, 2016
#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
— Jürg Hunziker (@tschortsch85) June 14, 2016
#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
— Opendata.ch (@OpendataCH) June 14, 2016
#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, 1991.vc
Reposted from blog.SODA.camp.
Opendata.ch/2016 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):
We thank our partner EPFL and our sponsors Liip, opendata.swiss, Hasler Stiftung, esri Suisse, Begasoft, Schweizer Informatik Gesellschaft, nine.ch and Mediaktion for their tremendous support in realizing the Opendata.ch/2016 conference.
P.S. Please note that the keynotes will be held in french and english language.
In parallel to the Opendata.ch/2016 Conference on Tuesday, June 14th, 2016 at Casino de Montbenon in Lausanne, we will run a participant-driven (BarCamp style) unconference track.
Please suggest ideas for brief (~15 min) talks and meetup topics. These will be posted on a website, crowd-ranked, scheduled and announced on the morning of the conference.
In order to participate, please fill out the following form:
We’re much looking forward to hearing form you and seeing you in Lausanne!