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Last days to register for the Tourism Hackdays 2021!

- April 8, 2021 in event, hackathon, Tourism

Take part and support innovation for tourism in Switzerland: help bring one of our 13 data based and non-data based challenges forward!
Hackathons are always a chance to meet like minded-people, sharpen your skills and think about new concepts for this dynamic and growing industry.

So be part of it:
Register until the 18th of April and take part to the online kickoff on Wednesday the 21st of April at 17:00.
The hackathon itself will also take place online on the 28th & 29th of April 2021. We send a little package at the beginning of next week, so make sure you are registered by then!
This event is co-organized by the HSLU, HotellerieSuisse, The Tourism Office Lab and

Let’s Hack

- April 6, 2021 in Energie, event, food, hackathon, Hackday

Shape My City – Lucerne, the Results!

- January 19, 2021 in Bildung, Daten, Energie, event, Forschung, hackathon, Luzern, smart city

Almost in the same breath, following the Smart city Lab Lenzburg, we were happy to support the student team of the Master of Applied Information and Data Science at the HSLU in their organization of the Shape My City Hackdays – Luzern, a Hackathon revolving around smart city projects for Lucerne and its inhabitants. Around 110 participants gathered online, ready to hear about the 15 so-called challenges awaiting for a solution. Those issues opened by either the industry, civil society or city of Lucerne itself, were prepared in collaboration with group of students who helped defining the framework of the question and to gather and prepare relevant datasets, providing the Hackdays-teams with the material to solve the challenge itself. This event being a fully virtual workshop was not as vividly alive as what we are used to during the HSLU-student Hackdays, (melancholy…), still, the very funny slides and the clear engagement of the teams made for a very good event. Two inputs by Stefan Metzger CDO of the city of Luzern and by Benjamin Szemkus, Program manager of Smart City Switzerland, provided for background information about the strategies and perspective in the field. A lot of open data on the topic of smart cities was gathered, and last but not least and as always astonishing, the plethora of good results convinced us once again of the relevance of such collaborative endeavours. The challenge topics nicely completed or confirmed those issues addressed a few weeks before in Lenzburg. There too it was obvious that those location and user-specific solutions are actually relevant for a much broader public and regions. Nevertheless, implementing them locally still seems to be a meaningful and challenging enough step before exploring those broader fields. Most teams are willing and ready to keep on exploring the challenges with their challenge owners, we are curious to see how far the projects go from there on! Solar Energy in the City of Lucerne
Identifying similar buildings in terms of solar characteristics facilitates the approach to building owners to promote the installation of solar panels. The project group gathered over 15 different datasets, cleaning, preprocessing, analyzing and converting the datasets into desired shapes and Geospatial data formats. The prototype is as desired simply an excel file, containing the necessary information.  Disclaimer: data about the buildings are not publicly available and are to be considered as strictly confidential. Therefore, this part is private, however, the code is public. Consumer Behavior in the City of Lucerne
The project group worked on identifying Personas that will help to address the target groups on the topic of environmentally friendly behaviours. They also worked on analysing datasets to find interesting correlations and patterns concerning existing consumer behaviour. Quantification of Visitors of Cultural Events
The number of visitors from the surrounding municipalities attending events at cultural venues in Lucerne is not available yet. The project-team created a measurement tool that easily and efficiently registers the place of residence of the attendees of a cultural event. Drug Sharing Ecosystem Driven by Blockchain
This group implemented a Blockchain technology to visualizes exchanges and flows of drugs between main health stakeholders, in order to increase transparency, security and automation of drug exchanges. Open Social Spaces
Through the use of a web AR Application, locals can give a shape to their ideas. Users can place and visualize objects directly in a chosen location and vote for creations by others. 360° Stakeholder Feedback Analysis
Large urban transformation projects require thorough analysis of the needs and requirements of all stakeholders involved. This project-team therefore worked on a Dashboard allowing grouping, qualification and prioritization of the stakeholders-related needs and information, in order to make more of the available data and provide decision-makers with a fast overview by project.
2000 Watt Site – Reduction of Energy Consumption
This project-team worked on a gamification model and an app to inform and incentivize the reduction of energy consumption of households and help achieve the 2000 Watt Society goals. The system aims to compares households’ consumption as awareness is one of the motivations for new energy consumption strategies. Reduce Car Rides at Traffic Peak Hours
The project-team worked with an Agent-Based Traffic Modelling and Simulation Approach to predict and analyse the forseeable changes in traffic load for an area in planning.
They produced a SUMO file with a modeled traffic flow integrating the new conditions on the project site, as well as reflected on the tools and incentives for future traffic regulation on the area. Find Energy Inefficient Buildings in the City of Lucerne
As about 45 % energy usage is for buildings this team worked on a building-images database to identify potentially energy-intensive buildings, as well as on a gamified app-prototype to improve the quality oft he image collection, labelling and identifying thanks to collective intelligence. Interactive Visualizationfor Neighbourhood Residents
This team worked on visualizing existing data of small sub-quarters to gain insights about the facts, needs and participation interests of the residents in those neighbourhoods. The insights and visualisation will be integrated in the website to make the findings accessible to all residents. 3D Geovisualization of building energy demands
In order to identify strategic leverage areas of high energy consumption, this team combined 3D data with energy demand data and revealed regions and buildings with potential for energy optimisation. Flat finder for seniors:
This team tackled the issue of the specific needs of the elderly when it comes to finding a suitable house or apartment. They created a housing platform that analyses housing advertisements from existing platforms and filters out those fitting the needs of seniors. Netto- Null in den Quartieren?
The demo created by this group allows to determine the current CO-2 emissions in the districts of Lucerne and to visualise which heating methods the buildings are using. This is a strategic information for decision makers for energy production methods and for the inhabitants to visualize the impact of one or the other heating system on the environment.

Quality of Life in Lucerne
This working group focussed on generating new insights from an online questionnaire about Life quality in Lucerne for the city administration. They identified personas, expectations and new variables from the citizens answers.

Energy Data Hackdays 2020, the results!

- October 6, 2020 in 2020, Brugg, Daten, Energie, Energy, event, Forschung, hackathon, Hackdays, machine learning, Optimization

The excitement of the new edition of the Energy Hackdays in Brugg was a bit special this year. Besides the usual sweet little heart pinch of the leap into a new group, the discovery of the challenges and the satisfaction of seeing this particular event repeating for the second time in Brugg, there was happiness but also respect about having the Energy Hackdays taking place mostly on site at the Hightech Zentrum Aarau. So we met in person and as far as we can say, it has been worth it! 13 really ambitious and technical challenges met 85 participants who were nonetheless ambitious and highly qualified! Two big themes emerged this year and predictions based on machine learning was one of them. Predicting performance, usage patterns, anomalies or even failure, in order to plan, use and maintain infrastructure more accurately.  Reaching these goals of course allows a much better resource and production management. The other big topic covered by several challenges was the question of visualization and interfaces, especially for smart-meters: How to help users, scientists, producers or end-consumers to read flows of data and allow them to interpret and decide or react appropriately to a given data supported information? How can they analyse and control different aspects of their infrastructure or installation? Tangent to this topic were challenges that attempted to allow a market overview for the consumer, in this case the market of E-Car charging stations, or to visualize the overall live electricity consumption of Switzerland. As far as I can judge and from what I heard from the challenge owners, the results blew us away! While the project descriptions might be a bit less accessible to the public than some from past hackdays, the approaches and results certainly correspond to a present need in the energy industry and comfort us in the conviction that hackathons and collaborative work with Open Data do support high-end innovation.
We were also very lucky to welcome the team of Campus 21 who harvested the visions of some of the participants for the future of Open Energy Data. See you all next year!
The 13 projects developed during the hackdays District Heating Optimisation   Decrease gas peak boiler runtime due to better storage operation: heat demand forecast, improved storage control, better storage operation. PV self-consumption optimization Evaluate and optimize trade-offs in the design of battery storage for PV systems, so our customer can select, whether they want the most economical battery solution or maximise their autarky. Our tools calculate the maximized economic benefit over lifetime. Read your own Smart Meter Read your Smart Meter through the local Customer Information Interface (CII) and visualize your consumption. Design a dashboard with the most useful information. Cheapest Charging around In order to develop the GIS platform of the Swiss Federal Office of Energy (SFOE) further: Add price information to the charging stations and find the cheapest option around for electric car drivers. Energy Data Visualization     Creating a platform for strategic decision making based on data from the Energy Science Center of ETH Zürich. e-mobility behavior analysis We analysed the charging patterns of private vs public e-cars charging stations. This could provide good hints for a further automated customer segmentation, help prediction of behavior changes for the load-curve vs renewable electricity production & help customers optimize their charging habits. Empower the People with Smart Meter Data Smart Meter Additional Use Cases: Novel energy certificate assesses where and how strongly building / user behaviour causes deviation from theoretical / optimum behaviour. ML Wind Power-Prediction Machine Learning Wind Turbine Power Curve Prediction: we compared constructor provided production projections with actual production curves with the goal to improve site-specific  performance prediction of wind turbines. – Development of machine learning algorithms  (or tools/aps) for improved site-specific  performance prediction of wind turbines. – Development of alternative algorithms e.g. Artificial Neural Networks – Inputs: wind velocity, turbulence intensity, shear factor (alpha) Put CH on the Electricity Map Help meet the Paris Convention goals to achieve net 0 by 2050, less than 2 tonnes CO2 per person! We want to raise awareness around energy use and consumption by putting Switzerland on the map at and put its open data API to use. Distributed analytics for asset management The goal is to create a decision support tool for asset managers, using AI to predict how power transformers will fail, and what to watch out for. Anomaly Detection in Smart Meter Data We developed EDA and algorithms for the Anomaly Detection in Smart Meter Data challenge. We developed several approaches for detecting anomalous days based on mean and std of the readings during the day and for detecting single anomalous readings. These models can be integrated in the second part  of the challenge MeterOS: Smart Meter Anomaly Detection Create a model for Smartmeter Anomaly detector and their visualization. Unleashing the Swiss Smartmeter’s CII Empower citizens to use their energy data. Using the smartmeter’s CII beyond visualisation to steer local consumption.We developed a concept and PoC roadmap to provide a “universal” adapter from smart meters to home IoT platforms.

Join #Hacktoberfest 2019 with Frictionless Data

- October 3, 2019 in Frictionless Data, hackathon

The Frictionless Data team is excited to participate in #Hacktoberfest 2019! Hacktoberfest is a month-long event where people from around the world contribute to open source software (and – you can win a t-shirt!). How does it work? All October, the Frictionless Data repositories will have issues ready for contributions from the open source community. These issues will be labeled with ‘Hacktoberfest’ so they can be easily found. Issues will range from beginner level to more advanced, so anyone who is interested can participate. Even if you’ve never contributed to Frictionless Data before, now is the time!  To begin, sign up on the official website ( and then read the OKF project participation guidelines + code of conduct and coding standards. Then find an issue that interests you by searching through the issues on the main Frictionless libraries (found here) and also on our participating Tool Fund repositories here. Next, write some code to help fix the issue, and open a pull request for the Frictionless Team to review. Finally, celebrate your contribution to an open source project! We value and rely on our community, and are really excited to participate in this year’s #Hacktoberfest. If you get stuck or have questions, reach out to the team via our Gitter channel, or comment on an issue. Let’s get hacking!

ODD 2019: eventos no Brasil

- February 28, 2019 in accountability, Dados Abertos, debates, hackathon, LAI, Lei de acesso à informação, Open Data Day, transparência

Open Data Day é um momento anual onde todo o mundo debate e promove, por um dia, o uso de dados abertos. Em geral, acontecem eventos, workshops, fóruns online, hackatons e todo o tipo de atividade usando informação livre. O intuito da data é incentivar governos, empresas e a sociedade civil a usarem dados abertos em suas iniciativas. A gente explicou um pouco melhor o que é o dia neste texto aqui. Em 2019, o evento acontece pela nona vez. Este ano, a data escolhida pela nossa rede internacional foi o dia 2 de março, sábado. No entanto, como no Brasil a data será carnaval, estamos aconselhando que os eventos locais sejam marcados para o dia 9 de março ou datas posteriores. Já temos eventos marcados em Fortaleza, Porto Alegre e Natal. Confira os detalhes abaixo. Fortaleza Dia: 23/03 Hora: 09:00 Local: Casa da Cultura Digital (Rua dos Pacajus, 33 – Praia de Iracema) Mais informações em breve. Natal Dia: 23/03 Hora: 08:30 Local: IFRN Central (Avenida Senador Salgado Filho, 1559, Tirol). Submeta sua palestra no SpeakerFight do evento. Mais informações em breve. Porto Alegre Dia: 09/03 Hora: 09:30 Local: Unisinos Programação e inscrição disponíveis aqui. Pretende realizar um Open Data Day na sua cidade? Envie um e-mail para para que a gente possa listar sua atividade aqui! Flattr this!

How to deal with IP rights of growing projects and products at hackathons – experience from the Japanese context

- February 28, 2019 in hackathon, IP, japan, OK Japan, Open Data Day, tools

Ahead of Open Data Day on Saturday 2nd March 2019, Tomoaki Watanabe from our Japanese chapter Open Knowledge Japan shares more information on a tool they developed to facilitate dealing with intellectual property (IP) rights during hackathon events. This year, many Open Data Day events are planned in Japan: Open Knowledge Japan created an overview at The main idea is simple: a tool to facilitate consensus formation on the intellectual property (IP) rights in the materials generated out of a hackathon. That is so that interested participants, or even others, know that they can develop a promising project further after the event is over. You would see many gems generated at a hackathon: interesting projects, promising products and services, inspiring ideas, sketches, mockups and so on. The excitement and the passion it produces may fade away over time. And sometimes, you may be disappointed by the fact that a seemingly promising project does not get anywhere, even when there are some people who want to develop it further. It is just that the one who wants to carry on cannot figure out if doing so is okay. Another problem related to the rights and licenses issue happens when a for profit company hosts a hackathon and claims all the IP rights – this may make some participants feel surprised and exploited. In Japan, a research project related to digital fabrication <> saw this problem and came up with a rather simple set of templates, called “a participation agreement,” <> to facilitate and document participants’ consensus on the rights issues around hackathons or makeathons. (Disclosure: I am currently a member of the research project, although I am not one of the members who developed it.) It has been developed with the help of a lawyer to ensure proper legal force. The main developer helped introduce them to well over a dozen hackathons and similar events, and a small study found that all private and public sector organizers knew about the tool (Kobayashi & Mizuno, 2016). The tool is published under an open license (CC-BY-SA 4.0), and meant to be customized by the organizer(s) of the event adopting the tool.

Legal hack group brainstorms solutions to stakeholder challenge by MC Legal Hackathon and Franklin Graves, CC0

How to Use and Major Features

The tool is a set of documents. The Participation Consent Form is like a terms of service for the event, so that the participants know, prior to the event, what happens to his rights. The Post-Event Confirmation Form is to be agreed after the event. The “default settings” of the documents are such that participants’ intellectual property rights stay with participants. The exception is when a participant becomes unreachable, in which case his rights are deemed waived. It means that, at least, participants can explore what to do with the unfinished project and negotiate over the terms. Additionally, it has a clause stating that contributing ideas alone would not result in any ground for an IP right. These settings are in the pre-participation document, and the post-participation document is for writing down an agreement among the contributing group members over their rights, permissions, terms, etc. so that they know what they can do with the output of their team. One important “default setting” there is the statement that those who do not participate into commercialization after the event will waive all their IP rights. Some organizers may think that some revenue sharing scheme or acknowledgement of contribution (attribution / crediting) should be adopted as a default. In order to customize the documents, a good starting point would be to change the very first part – from title, organizer’s name, and to Art. 1, which is about the purpose of the event. Another section to customize may be the Art. 2, where the IP rights are discussed. If a Creative Commons Attribution license (CC-BY) should be adopted as a baseline for copyrights in participants’ contributions, for example, this would be a good place to state that. Art. 2 of the post-event document has the “default setting” mentioned above on non-participating members of post-event commercialization waiving the IP rights. One additional thing to note is that because the tool was originally developed for Japanese context, they contain references to the Japanese copyright law. There is a repository at GitHub so that people can report suggestions, bugs or questions. Forking the tool is also welcome, according to a Japanese material by the developers. To recap, these documents (templates) are good for avoiding the avoidable rights-clearance issues arising out of collaborative events like a hackathon.   Reference: Kobayashi & Mizuno (2016). “Making rules regarding intellectual property rights at co-creation events such as hack-a-thons: proposal of a participation agreement.” Digital Practice, v.7, n.2, pp.128-135. (in Japanese)  

Το ΟK Greece υποστηρίζει τον μαραθώνιο καινοτομίας City Challenge crowdhackathon #smartcity 2

- May 26, 2018 in Featured, Featured @en, hackathon, News, Εκδηλώσεις, Εφαρμογές, Νέα

Το Ίδρυμα Ανοικτής Γνώσης Ελλάδας (OK Greece), πιστός αρωγός σε διοργανώσεις οι οποίες αφορούν στην καινοτομία, στηρίζει το City Challenge crowdhackathon #smartcity 2. Το «Citylab Θεσσαλονίκη» θα πραγματοποιηθεί στις 30 Μαΐου 2018, στις 15:00, στο OK!THESS. Έλα να ακούσεις ή να παρουσιάσεις ιδέες και σύγχρονες τάσεις για την ψηφιακή καινοτομία. Έλα να προτείνεις ιδέες για […]

Our Open Data Day 2018 @

- April 18, 2018 in germany, hackathon, Open Data Day, open data day 2018

This blog has been reposted from Medium This blog is part of the event report series on International Open Data Day 2018. On Saturday 3 March, groups from around the world organised over 400 events to celebrate, promote and spread the use of open data. 45 events received additional support through the Open Knowledge International mini-grants scheme, funded by Hivos, SPARC, Mapbox, the Hewlett Foundation and the UK Foreign & Commonwealth Office. The event in this blog was supported through the mini-grants scheme under the Equal Development theme.

The Open Data Day 2018 hackathon at our place near Barbarossa Platz began in the morning (at 9am) and went all day long until 8pm in the evening. The different participants (or hackathletes as we like to call them) came from all parts of Cologne and even from other cities throughout the province of Nordrhein-Westfalen.

The topic of our hackathon was (as intended) air pollution and nitrogen dioxide pollution in particular. All of which can’t be talked about enough since the pollution is invisible but its impact on our health is not. And especially in the inner city of Cologne there is lots and lots of air pollution.

We had breakfast together and got each other to know while drinking a coffee or two. So we had time to appreciate our similarities and differences before we started working. We had about thirty participants pitching around ten ideas, which ultimately formed themselves into three groups, each of them with their own goal based on the best pitches made.

The three different projects that were realized during our hackathon for Open Data Day 2018 were, as already stated, all about nitrogen dioxide pollution in Cologne and all of the hacks worked with (or compared) the different figures from the two main sources that monitor air pollution in our area. The first one being the City of Cologne, the second one being Open Air Cologne, a joint venture by OKlab Cologne, Everykey, the Cologne University of Applied Sciences and again the City of Cologne themselves.

Our hackers went on to built python scripts, parsers and APIs to transmit data, transform data, to compare the measurements between the two data sources and to visualize them and make the data machine-readable for other users and visualizations.

Concerning the accomplishment of goals we are happy to announce that one project was completely finished and the two runner ups were almost finished and in a working condition. Also the goal of connecting people and keeping them connected was accomplished since some of the participants are still in email communication concerning their projects.

Our community did a great deal of furthering the cause. We had a principal direction where we wanted to go but the projects/hacks were all planned and formed by the participants themselves. Also the two hour long Barcamp that was held helped a lot in giving the pitches shape and furthering the scope of each project.

Still through feedback we got the insight that it might have been even more productive to be a little bit more strict in guiding the participating hackers and maybe look even closer at their individual strengths to everyone can take part in the project in the most fitting way. We would also like to try to use our next Hackathons as a thematic bridge between the last and the following Open Data Day. We have a LoRaWAN Hackathon coming up where the projects from our Open Data Day Hackathon could be expanded on.

Regarding the comparison to the Open Data Day 2018 Hackathon held by the Women Economic and Leadership Initiative (our tandem organisation for the ODD18) we were able to find several similarities between our events aside from being about open data. The most outstanding similarity being the purpose to connect open data enthusiasts with each other, while on the other hand the most obvious difference is that they targeted a slightly different group of participants since they were focusing on female participants while our Hackathlon was gender unspecific.

We had a great Open Data Day 2018 and enjoyed it very much to share the day with the Open Data community. We are happily looking forward to have a great Open Data Day again in 2019.

We are also very grateful for our great sponsors and partners:
pro.volutionEmbersRailsloveTDWIKöln Express and Kölner Stadtanzeiger and especially the City of Cologne.

Thank you very much again.

Hack on!

#NRW17, BMI, Wikidata und Termine

- September 4, 2017 in event, hackathon, Offene Wahlen, Open Data, Wahlen, Wikidata, Workshop

Von der #NRW17-Visualisierung, über einem Treffen beim Innenministerium bis hin zu Wikidata – vieles hat sich in den letzten Monaten getan bei Offene Wahlen Österreich.

Wir bekommen Zugang zu den Wahldaten!

Als im Mai die vorgezogene Neuwahl der Nationalratswahl beschlossen wurde, war für uns relativ schnell klar: Wir wollen am Wahltag, dem 15. Oktober 2017, um 17 Uhr Zugang zu den ersten Wahldaten. Erste Idee war, mit den Daten ein bisschen spielen zu können und für Visualisierungen und Analysen zu nutzen. Die Ergebnisse sollten dann allen im Web zugänglich gemacht werden. Doch damit das möglich ist, brauchen wir zuerst die Ergebnisdaten von der Bundeswahlbehörde des Innenministeriums (BMI) am Wahltag. Daher haben wir beim BMI via Email angefragt – und dem Ansuchen wurde direkt und sofort stattgegeben. An dieser Stelle vielen Dank an die Bundeswahlbehörde.


Somit war der Grundstein gelegt für die “Offene Wahlen Österreich Nationalratswahl 2017 Visualisierung”, kurz #NRW17-Visualisierung. Ziel ist, die Ergebnisse in einem neuen Gewand aufzubereiten und dabei thematische Schwerpunkte zu setzen sowie den Code als Open Source allen zugänglich zu machen. Das Projekt wird für alle sichtbar auf GitHub koordiniert, wo man auch den Code findet. Sämtliche Infos sind im Wiki und die Tasks werden mittels Milestones und Projects koordiniert. Technisch werden die Daten mittels einer Django-App für die aufbereitet und D3js visuell dargestellt. In den letzten sechs Wochen hat sich so schon einiges an Code und Know-How angesammelt. Aktuell beginnen wir mit den ersten Visualisierungen. Der weitere Plan ist, die App bis zur Wahl fertig zu entwickeln und am Wahltag um 17 Uhr unter zu Launchen. Versäume den Launch nicht und meld dich beim Newsletter an. Wenn du dich gerne mit Daten, Visualisierungen, Kommunikation und/oder Wahlen beschäftigst, meld dich und mach bei uns mit. Wir sind ein offenes Team an ehrenamtlich tätigen und freuen uns über jede Unterstützung. Aktuell sind wir vor allem auf der Suche nach einer Person, die sich mit Kommunikation auskennt und uns bei der Bewerbung der Events und der #NRW17-Visualisierung hilft.

#NRW17 = Daten + Visualisierung + Party

Die #NRW17 Visualisierung wird am 15. Oktober um 17 Uhr live gehen. Zusammen mit der Nationalratswahl ist das für uns Grund genug eine kleine Party zu veranstalten. Daher laden wir alle Wahl-Nerds, Netzpolitik-Interessierte und Daten-LiebhaberInnen zum gemeinsamen Launch der #NRW17-Visualisierung mitsamt Public-Viewing zur Nationalratswahl ins metalab ein. Dort wird vor dem Launch natürlich auch noch ein bisschen gecodet und der Feinschliff gemacht. Wer sich Infos zum Ablauf einer Wahl, zu Wahldaten oder den Visualisierungen holen möchte, ist hier genau richtig.

Offene Wahlen Hackathon @ metalab by Stefan Kasberger (CC BY 4.0)

Wahl-Daten-Party Ort: metalab, Rathausstraße 6, 1010 Wien
Datum: 15.Oktober 2017, 12 – 22 Uhr
Eintritt frei

Erste Forderungen umgesetzt

Wie Eingangs schon erwähnt, erhalten wir vom Innenministerium Zugang zu den Wahlergebnissen. Gemeinsam mit den JournalistInnen von,, APA, ATV und einigen mehr wurden wir deswegen am 17. August zu einer Diskussion rund um die Wahldaten ins BMI eingeladen. Konkret wird jenen die Zugang zu den Wahldaten bekommen zum ersten Mal ein maschinenlesbares Format (JSON und CSV) angeboten (Forderung #3) und wir wiesen auf die Wichtigkeit eines guten Datenstandards hin. Die Website des BMI wird via https gesichert werden (Forderung #5), was Manipulationen in der Datenübertragung unmöglich machen soll. Ein weiterer wichtiger Punkt: Laut Robert Stein, Leiter der Wahlabteilung im Innenministerium, gibt es kein Urheberrecht auf Wahldaten, womit implizit auch die Forderungen nach einer offenen Lizenz erfüllt wird (Forderung #1). Weiters wurde auf unser Einwirken hin zugesagt, dass die Ergebnisse bereits am Wahltag auf online gestellt werden sollen, sobald sie fertig ausgezählt sind.
Auf Wahldaten gibt es kein Urheberrecht.
Robert Stein, Leiter Wahldatenabteilung BMI
Doch damit sämtliche Forderungen umgesetzt sind, gibt es noch einiges zu tun. Die nächsten Schritte unsererseits sind:
  1. Vorschlagen eines offenen Datenstandards für die Wahlbehörde (Forderung #2).
  2. Anfragen, ob wir die Ergebnisdaten der #NRW17 über eine Open Data restful-API weitergeben dürfen. Da es ja kein Urheberrecht auf die Daten gibt, sollte dies an sich kein Problem sein. Mit dieser Maßnahme würden wir international eine Best-Practice für offene Wahldaten umsetzen und die Forderungen #1, #2, #3, #4, #5 und #10 erfüllen. Dies kann somit eine ideale Vorlage für weitere Schritte beim BMI sein.
  3. Die erwirkten Fortschritte auf Bundesebene auch auf Bundesländer-Ebene voran treiben.
Hierfür benötigen wir deine Unterstützung. Hilf mit, damit Wahldaten einfach und sofort für alle zugänglich sind. So können wir gemeinsam für Transparenz, demokratische Bildung und Innovation bei Wahlen sorgen.

Wikidata und Wahlen

Eine weitere Aktivität ist, dass wir Daten rund um Wahlen in Wikidata eintragen. Für alle die Wikidata noch nicht kennen: Dies ist eine freie Wissens-Datenbank der Wikimedia Foundation, der Organisation hinter Wikipedia, welche sowohl von Maschinen wie auch Menschen genutzt werden kann. Im Juni diesen Jahres haben Wikimedia Deutschland und Open Knowledge Deutschland zu einem Wikidata Wahldaten Workshop in Ulm eingeladen. Dort trafen sich junge Hacker aus Deutschland (und Stefan Kasberger von Offene Wahlen Österreich) für ein Wochenende um sich mit Wahlen und Wikidata zu beschäftigen und auszutauschen.

Wikidata logo by Planemad (Public Domain)

Beim Workshop ging es vor allem darum, vorhandene Daten in Wikidata zu importieren und sich mit SPARQL (der Abfragesprache für Wikidata) vertraut zu machen – von AnfängerIn bis zum Profi. Und natürlich wurde sich auch viel über Wahlen und Daten an sich ausgetauscht. Stefan hat das Wochenende genutzt um in einem GitHub Repository alle relevanten Informationen rund um österreichische Wahlen zu sammeln und auch ein erstes Import-Skript für die Nationalratsabgeordneten gecodet. Die Idee dahinter ist, Wikidata als die primäre Datenbank für politische Entitäten (in der Datenmodellierung ein eindeutig zu bestimmendes Objekt, z. B. Bundeskanzler Christian Kern) aufzubauen. Jede Politikerin, jeder Politiker soll in Zukunft darin eindeutig abgebildet sein, genauso wie jede Wahl, jede Partei und so weiter. Nun wollen wir auch den ersten Wikidata Wahldaten Workshop in Wien organisieren und die Aktivitäten vorantreiben. Der Workshop richtet sich explizit an Wikidata-AnfängerInnen. Neben der Einführung zu Wikidata und Wahlen wird es aber auch eine Gruppe für Wahl-Nerds geben, also Menschen die sich mit Wahlen und Daten schon öfters beschäftigt haben. Hier denken wir vor allem an DatenjournalistInnen, Politikwissenschafts-StudentInnen und WahlforscherInnen (Wikidata-Vorkenntnisse sind ebenfalls nicht nötig). Wikidata Wahldaten Workshop Ort: Wikimedia Österreich Office, Stolzenthalergasse 7/1, 1080 Wien
Datum: 30. September 2017, 14 – 18 Uhr
Eintritt frei
Webpage Organisiert wird der Workshop von Offene Wahlen Österreich, gemeinsam mit Wikimedia Österreich. in neuem Antlitz

Vor knapp einem Jahr wurde die Offene Wahlen Österreich Website gelauncht. Seitdem hat sich die Website kontinuierlich weiter entwickelt. Vor zwei Wochen wurde dann auch die Homepage komplett neu überarbeitet. Aber am besten ihr seht es euch selber an:

Nächste Termine