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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. https://hack.opendata.ch/project/619 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.
https://hack.opendata.ch/project/615 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. https://hack.opendata.ch/project/667 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.
https://hack.opendata.ch/project/605 360° 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.
https://hack.opendata.ch/project/656
https://colab.research.google.com/drive/1o492OCQthCJes2zYjfvJ_j1PU1Pc6spQ
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.
https://hack.opendata.ch/project/655 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.
https://hack.opendata.ch/project/616 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.
https://hack.opendata.ch/project/656 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.
https://hack.opendata.ch/project/617
https://github.com/LinoSimoni 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.
https://hack.opendata.ch/project/657 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.
https://hack.opendata.ch/project/618 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.
https://hack.opendata.ch/project/613

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.
https://hack.opendata.ch/project/658
https://github.com/EldhosePoulose/HackdaysLucerne-LifeQualityAnalysis

Would you like a free coffee?

- December 17, 2020 in Bildung, Kantonal

We have asked this question at 11 locations in German-speaking Switzerland. The question and the free coffee are part of an awareness campaign called Data Café, which promotes a reflective understanding of the value of data in our society. Through this awareness campaign, we brought to the streets a deal most of us make every day online, by using for example Google search, Facebook, Instagram or WhatsApp.Unlike on the Internet, where you can use many services in exchange for personal data, at the Data Café, you get a coffee if you are willing to share your first name, last name, gender, e-mail, date of birth and canton. You can get a live feeling for our campaign in this video but don’t stop to read further to learn about our discoveries during the journey through Switzerland. Imagine yourself, walking through the city on a cloudy afternoon. You see a coffee truck in front of you. “Would you like a free coffee?” a woman unexpectedly asks. You nod and say yes, already having the smell of coffee in your nose. “Great, I just need you to share some of your personal data with me”, the woman casually adds. You stare at her and hesitate.
Anger, indifference & interest – reactions were diverse The reactions to our offer were diverse. A few were angry and run off so quickly that we could not even explain the motivation of our offer nor ask them whether they used any free digital services. Some weren’t bothered by the deal at all, even if we tried our best to cause discomfort with critical questions like “Do you even know what we’ll do with your data?”. They just wanted to enjoy their free coffee. Most were interested in the offer, but critical. They asked: What happens to my data? One page of T&Cs is still too long The coffee lovers could read our terms and conditions (T&C) on the back of the menu. Even if our T&Cs were only one book page long, most of the people were too lazy to read them. In contrast  with online T&Cs, people could ask us to provide a summary, which is:
  • The collected data is saved anonymously on servers of the University of Zurich. 
  • The participants receive one email with a request to participate in an online survey.
  • The data of the survey are collected through Qualtrics LLC, a firm located in Utah, and are deleted at the end of this project.
  • In addition to the data you provide, information about IP address, location and the device used will be stored. 
What do you think? Are you still interested in that free coffee? 35% of people are willing to pay with their data We heard many arguments about why someone wouldn’t share data for a coffee, from lazy excuses to serious privacy concerns, to ambiguous answers such as not wanting to share data on the street at the data cafe, while at the same time noting that they share much more data online without thinking twice.
Among the people, we asked if they would like to have coffee, around 35 percent accepted the offer and enjoyed a coffee paid for with their personal data. When asked about the motives for revealing their data, many argued that their data is already available online, that they personally have nothing to hide or that they trust us. Are they aware of the potential misuse of personal data? What about you? Do you belong to the group of people who would have accepted our offer and drank free coffee?  Learn how to understand, protect and use data Regardless of whether someone has shared their data, we have encouraged people to visit our website, where we have summarized several tips on protecting, understanding, and using personal data.  For those who were interested in improving  their knowledge about data, we handed out the magazine “Wert von Daten” published by the Foundation Mercator. The magazine explores the topic through conversations with various experts taking on different perspectives. Interesting fun facts from survey To gain further insight, we sent a survey to each person who shared their data.
40% said that it is time to have a more in-depth debate about data and data protection. In response to the question why we pay so many services with our data, 59% replied that we are not aware of it whereas 9% said that they think we do not pay much with our data.
The most pressing questions Thanks to the Data Café, we were able to talk about the value, the changes and threats of data to many different people. A huge advantage of this project is that we were able to reach an audience that normally does not discuss the topic/ aware of the topic. Besides the decision of whether or not to drink free coffee, people had many questions about our data in general.
To name just a few: 
  • Why is it important to protect my data? Everyone has my data already anyways. 
  • How do companies earn money with my personal data? 
  • Can we use data to do x or y, 
  • Are there alternatives to… google, WhatsApp, Facebook? 
  • Should I stop using Facebook?
What’s next For next year we plan on further developing our campaign and continuing in the French-speaking part of Switzerland. Thereby we hope to further improve our approach, deepen our understanding of the behaviour of people towards data and finally to publish a Data Café handbook. 
This initiative is implemented by the non-profit association Opendata.ch and enabled by the Mercator Foundation Switzerland.

Open Data Student Award 2020

- July 17, 2020 in Bildung, Daten, Forschung, National

On June 23, 2020 we announced the winner of the 2020 Open Data Student Awards at the Opendata.ch/2020 Forum. For the third consecutive year we called for students to enter the Open Data work they created as part of their education. First of all we would like to thank everyone who entered one of their works. All of your ideas were an inspiration to us and are valuable contributions to promote the use of open data. This year’s jury consisted of the following people:  Daniel Krebser; Founder/Owner/Managing Partner ATIZO 
André Golliez; Co-Founder / Managing Partner Zetamind, Vorstand Opendata.ch 
Jannis Valaulta; CH Open Vorstandsmitglied 
Prof. Stefan Keller; Informatik-Professor, HSR Rapperswil 
Kirsten Dolfus: SBB Technologiemanagement / Enterprise Architektin They had the joy of looking at all contributions and the difficult task of choosing the winning entry. We congratulate Ueli Isenschmid, Anian Pleisch, Janik Sievert, and Severin Spörri for their winning project: Fahrgastzahlen VBZ interaktiv visualisiert You can find the full list of all entries below:

Winner: Fahrgastzahlen VBZ interaktiv visualisiert

Ueli Isenschmid, Anian Pleisch, Janik Sievert, and Severin Spörri, ETH The aim of this work is to present the traffic flows over the day in terms of volume as the number of passengers travelling and the percentage utilisation of the network of the transport companies in an interactive map. In addition, this report examines the traffic flows in the public transport system of the city of Zurich during peak times, with particular emphasis on the local bottlenecks at morning and evening peak times. 

Open Data Visualisierung: Landwirtschaftliche Betriebe der Schweiz 

Laura Christina Utz and Rahel Luder, University of Bern  https://landwirtschaftliche-betriebe-schweiz.opendata.iwi.unibe.ch Using a data set with 45’000 data sets from the Federal Office for Agriculture (BLW), the students used bubble charts to group and evaluate all 45’000 farms in Switzerland.

Ex-Tangente

Franziska Suter, Tarik Mohamed, Helena Appenzeller, Clemens Widmer, ZHdK This project investigates the spatial development of the former western tangent. The west tangent connected the motorway exit Shilhölzli in the south with the motorway entrance Aubrugg in the north and thus once crossed the whole city. 

Visualize the right thing

Boris Djakovic, University Bern https://borisdjakovic.github.io/Visualize-the-right-thing/ Which raw data should be processed? What makes sense to visualize at all? Which data generates the greatest added value? This project is intended to help identify and locate “important” data collections and to show which important data are openly available.

Studierende an schweizer Fachhochschulen

Luca Fluri and Koray Oezkaynak, FHNW https://fhstudents.lucafluri.ch/ This project visualises the development and distribution of students at Swiss universities of applied sciences, focusing on gender differences.

Effizienter Zugverkehr dank künstlicher Intelligenz

Dano Roost and Ralph Meier, ZHAW https://github.com/Danoishere/projektarbeit-2019 The aim of this project at the ZHAW was to control trains using reinforcement learning, an area of artificial intelligence. A neural network was created using so-called Curriculum Learning and open data from SBB, which increases the difficulty of the generated rail networks, once a certain rate of arrival has been reached.

Thanks to the Sponsors of this years Open Data Student Award:

Die Post Logo

Five Projects Selected for the Prototype Fund

- July 7, 2020 in Bildung, Daten, prototypefund

The Following five projects have been selected by the Prototype Fund Jury to be funded for the first Swiss edition of the Prototype Fund. They will each receive up to CHF 100,000 in funding, at least 5 hours of individual and need-based coaching (e.g. in coding or user-centered design) during the funding period, amongst others. The selected projects promote smart participation in Swiss politics by providing open source solutions and by using open data.

E-COLLECTING

E-Collecting wird das sichere und einfache elektronische Unterschreiben, Validieren und Zählen von Volksbegehren auf Kampagnen-Plattformen ermöglichen.#ROUND 1 

FAIR ELECTION

FairElection crée un outil pour les organisations politiques pour choisir des candidat-es en fixant des critères de représentation. Le grand public peut simuler les résultats d’une élection passée en modifiant ces mêmes critères de diversité.#ROUND 1 

PROJEKT CH+ GAMES FOR DEMOCRACY

Projekt CH+ Games for Democracy uses game mechanics for political self-education and helps voters select their ideal candidates during elections. CH+ is based on co-design and invites users to be part of the design process.#ROUND 1 

Q & A BUNDESHAUS

Q&A Bundeshaus entwickelt eine Crowd Source-Plattform, über die Bürgerinnen Fragen oder Anliegen direkt und öffentlich an Parlamentarierinnen richten können.#ROUND 1 

VOTY

Voty brings democracy to schools and promotes the understanding of democracy among the youth in a sustainable way through three modules: learning  + testing + living democracy.
The Prototype Fund is a joint initiative by Opendata.ch and Mercator Foundation Switzerland.

Open Data Student Award 2020

- May 12, 2020 in Bildung

Open Data Student Award 2020

Offene Daten sind eine unabdingbare Folge der Digitalisierung. Darum haben sich die Vereine Opendata.ch und CH Open entschlossen, einen Studierenden-Preis zu stiften. Dieser Preis steht für herausragende Anwendungen von offenen Daten in Lehre und Weiterbildung. Als Sponsoren mit dabei sind die SBB, die Swisscom, Die Post sowie Netcetera. Mit dem Award wird eine studentische Arbeit ausgezeichnet, die zuhanden der Gewinner mit einem Preisgeld in der Höhe von insgesamt CHF 1000 (von oben genannten Firmen) honoriert wird. Die Auszeichnung erfolgt anlässlich des Opendata.ch/2020 Forums am 23. Juni 2020.

Vergabe-Kriterien

Die studentische Arbeit verwendet in beispielhafter Weise Open Data und/oder Open Government Data (OGD) mit Bezug zur Schweiz. Sie verwendet wo sinnvoll Datenvisualisierung und offene Standards (Dateiformate, Webdienste). Das Ergebnis kann eine schriftliche Arbeit oder eine Applikation sein. Sie steht idealerweise für Open Science was auch Open Source einschliesst und ist reproduzierbar inklusive Rohdaten und Programmskripte. Bewertet werden die Neuartigkeit, die Kreativität, die Wirtschaftlichkeit, die Dokumentation, die Praxisrelevanz, wie auch die vorbildliche Nutzung von OD oder OGD. Der/die Verfasser/in der Arbeit erklären sich mit der Eingabe sowie der Veröffentlichung der Arbeit und der Medien (Fotos und Videos) einverstanden.

Teilnahmeberechtigung

Teilnahmeberechtigt sind alle Studierenden einer Schweizer Hochschule. Folgende Formen sind erlaubt:
  • Studienleistung einer Hochschule (inkl. CAS)
  • Übungs- oder Praktikumsarbeit
  • Semesterarbeit, Bachelor- oder Masterarbeit
  • Private Arbeit von einem aktuell immatrikulierten Studierenden

Nominierung und Einreichung

  • Kurzbeschreibung (One Pager) inkl. Abbildung
  • Studienleistung (PDF und/oder Link zur App)
Die Einreichung muss vor dem 7. Juni 2020 vollständig und fristgerecht durch die Studierenden erfolgen. Einreichung per Mail an rahel.ryf@opendata.ch. Der Preis wird im Rahmen des Opendata.ch/2020 Forum am 23. Juni vergeben. Die Teilnahme der Nominierten am Onlineforum wird erwartet. Der Gewinner wird im Vorfeld benachrichtigt. Über die Preisvergabe wird keine Korrespondenz geführt.

Jury

Daniel Krebser
Founder/Owner/Managing Partner ATIZO André Golliez
Co-Founder / Managing Partner Zetamind
Vorstand Opendata.ch Jannis Valaulta
CH Open Vorstandsmitglied Prof. Stefan Keller
Informatik-Professor, HSR Rapperswil Kirsten Dolfus
SBB Technologiemanagement / Enterprise Architektin

Gestalte das Opendata.ch/2019 Forum als Helfer*in mit

- May 29, 2019 in Bern, Bildung, Daten, event

Das diesjährige Treffen zum Thema offene Daten am 4. Juli wird eine bereichernde Erfahrung für alle Teilnehmerinnen wie auch für uns Organisatorinnen. Unser Anspruch ist es, einen neuen Konferenz-Standard in der Schweiz zu setzen für Austausch und praktisches Handeln in einer grossen Gruppe. Um das Forum für alle Teilnehmerinnen zu einem Erfolg zu machen, benötigen wir deine Mithilfe. So kannst du unser Ziel als freiwillige Helferin unterstützen: am Vorabend (3. Juli)
  • mit dem Organisationsteam den Konferenzort einrichten
  • am gemeinsamen Abendessen die letzten Details besprechen
am Forumstag (4. Juli)
  • mit dem Organisationsteam dem Konferenzort den letzten, notwendigen Schliff geben
  • die Teilnehmer*innen begrüssen, über Örtlichkeiten und Abläufe orientieren
  • in den parallelen thematischen Sessions das Protokoll der Gruppendiskussion führen, um die Haupterkenntnisse festzuhalten und das Fundament für weiteres Handeln zu legen
  • den Ablauf der parallelen thematischen Sessions unterstützen
  • und unbedingt: Dich selbst am Forum mit deinen Fragen und Bedürfnissen einbringen!
Für deine Mithilfe können wir dir folgendes anbieten:
  • ein Gratisticket
  • Einblick in / Teilnahme an bis zu vier parallelen Gruppendiskussionen (à je 45 min.) zu den Fragen und Bedürfnissen, welche die Teilnehmer*innen am meisten beschäftigen
  • Erste Erfahrungen mit Liberating-Structures-Methoden (innovativen Kollaborationsstrukturen)
  • Zugang zu und Austausch mit Open Data Interessierten und Engagierten
  • Opendata.ch/2019 T-Shirt und Stickers ?
Interessiert? Melde dich bei uns via info@opendata.ch Alle Helferinnen sind eingeladen, uns am Vorabend am Konferenzort in Bern-Wankdorf beim Aufbau der Konferenz zu unterstützen und im Anschluss ein gemeinsames Abendessen zu geniessen. Für Protokollführerinnen und Session-Unterstützer*innen organisieren wir vorab einen ca. 2-stündigen Workshop, um dich auf deine Rolle vorzubereiten. Wir freuen uns auf deine Mitgestaltung des Opendata.ch/2019 Forums,
Nikki Böhler, Andreas Amsler und das Team

Open Data Student Award 2019

- May 10, 2019 in Bildung

Open Data Student Award

Offene Daten ermöglichen mehr Transparenz, interdisziplinäre Innovation, Effizienz und ziviles Engagement. Um dieses Potenzial zu fördern, haben sich die Vereine Opendata.ch und CH Open entschlossen, einen Studierenden-Preis für Open Data Projekte zu vergeben. Dieser Preis steht für herausragende Anwendungen von offenen Daten in Lehre und Weiterbildung. Als Sponsoren mit dabei sind die SBB, die Swisscom, die Post sowie Netcetera. Mit dem Award wird eine studentische Arbeit ausgezeichnet, die zuhanden der Gewinner mit einem Preisgeld in der Höhe von insgesamt CHF 1000 (von oben genannten Firmen) honoriert wird. Die Auszeichnung erfolgt anlässlich des Opendata.ch/2019 Forums am 4. Juli 2019 in Bern.

Vergabe-Kriterien

Die studentische Arbeit verwendet in beispielhafter Weise Open Data und/oder Open Government Data (OGD) mit Bezug zur Schweiz. Sie verwendet wo sinnvoll Datenvisualisierung und offene Standards (Dateiformate, Webdienste). Das Ergebnis kann eine schriftliche Arbeit oder eine Applikation sein. Sie steht idealerweise für Open Science was auch Open Source einschliesst und ist reproduzierbar inklusive Rohdaten und Programmskripte. Bewertet werden die Neuartigkeit, die Kreativität, die Wirtschaftlichkeit, die Dokumentation, die Praxisrelevanz, wie auch die vorbildliche Nutzung von OD oder OGD. Der/die Verfasser/in der Arbeit erklären sich mit der Eingabe sowie der Veröffentlichung der Arbeit und der Medien (Fotos und Videos) einverstanden.

Teilnahmeberechtigung

Teilnahmeberechtigt sind alle Studierenden einer Schweizer Hochschule. Folgende Formen sind erlaubt:
  • Studienleistung einer Hochschule (inkl. CAS)
  • Übungs- oder Praktikumsarbeit
  • Semesterarbeit, Bachelor- oder Masterarbeit
  • Private Arbeit von einem aktuell immatrikulierten Studierenden

Nominierung und Einreichung

  • Kurzbeschreibung (One Pager) inkl. Abbildung
  • Studienleistung (PDF und/oder Link zur App)
Die Einreichung muss vor dem 21. Juni 2019 vollständig und fristgerecht durch den Studierenden erfolgen. Einreichung per Mail an rahel.ryf@opendata.ch. Der Preis wird im Rahmen des Opendata.ch/2019 Forum am 4. Juli vergeben. Die Präsenz des Gewinners wird erwartet. Der Gewinner wird im Vorfeld benachrichtigt. Über die Preisvergabe wird keine Korrespondenz geführt.

Jury

Daniel Krebser
Founder/Owner/Managing Partner ATIZO Patricia Spitz-Lehmann
Leiterin IT Innovation SBB AG André Golliez
Co-Founder / Managing Partner Zetamind
Vorstand Opendata.ch Jannis Valaulta
CH Open Vorstandsmitglied Prof. Stefan Keller
Informatik-Professor, HSR Rapperswil