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Energy & Climate Hack will take place ONLINE

- August 20, 2021 in Bern, Climate, Daten, Energie, hackathon, International, Kantonal, National, online, smart city, Students

Fresh news! The Energy & Climate Hack will now take place ONLINE on Tuesday 30th of August and Wednesday 1st of September 2021, as a parallel event to the Decarbonising Cities conference .
We are therefore happy to announce an extended registration deadline until the 27.8.

This hackathon brings together students from the United Kingdom and Switzerland as well as experts, hackers and people aspiring to make a difference. It exemplify how bottom-up locally embedded initiatives can actually tackle global issues and how these proposals, tested at a local scale, can help our society beyond their original purpose. Take part and help shape the cities of the future!
Find out more on www.energyclimatehack.ch and register until the August 27th 2021.

This hackathon is organised in collaboration with Swisspower and the British Embassy. It will be held in english. Note: Some of the challenges will be followed-up during the Energy Data Hackdays of the 24.09.21 in Brugg, consider applying to both : )

Register to the Energy Data Hackdays!

- July 15, 2021 in Climate, Daten, Energie, event, hackathon, International, National, smart city

We are happy to announce the fourth edition of Energy Data Hackdays! The Hackdays will take place on the 24th & 25th of September 2021 in Brugg, Switzerland.
Energy companies, public administrations and other organisations related to the energy industry will make data available for the development of creative ideas and initial prototypes. The focus will be on industry relevant topics like, among other, the energy grid as an interface to the smart communities, the role of the transmission grid in the decentralisation of the production sector, security of supply with a decentralised production, how to ensure data security or how to link network planning and urban development.
The hackdays are as usual free and open to any person interested in helping to shape the future of energy!
Looking forward to meeting you there!
Registration: https://energydatahackdays.ch (keep an eye open, more info will follow soon on the Energy Data Hackdays website)

Energy & Climate Hack

- May 27, 2021 in Bern, Climate, Daten, Energie, event, Forschung, hackathon, International, smart city

There’s no need to emphasize the need for action and innovation against climate change.
Transport, production, from habitat to consumption… around 70 % of global CO2 emissions are linked to the activities in cities.  The Energy & Climate Hack will take place in the city of Berne on August 31st and September 1st 2021, as a parallel event to the Decarbonizing Cities Conference. This hackathon throws a bridge between common issues and needs across borders and will bring together students from the United Kingdom and Switzerland as well as experts,hackers and people aspiring to make a difference. The multidisciplinary teams will look at smarter urban living through the lenses of energy efficiency and research for better decision making. The beauty of this event is not only that it will allow us to explore new solutions, but also that it exemplifies how bottom-up locally embedded initiatives tackle global issues and how these proposals, tested at a local scale, can help our society beyond their original purpose. This event is organised in collaboration with Swisspower and the British Embassy in Berne. It is open and free of charge, like all our other hackdays.
Please register until the August 17th 2021 and take part: you too can help shape the cities of the future!Find out more on http://www.energyclimatehack.ch/

The Open Revolution: rewriting the rules of the information age

- June 13, 2018 in International

Economist und Open Data Advocate Rufus Pollocks neues Buch, “Die offene Revolution: Die Regeln des Informationszeitalters” stellt sich das Eigentum im digitalen Zeitalter neu vor, und ist jetzt online verfügbar unter openrevolution.net. Wird die digitale Revolution uns digitale Diktaturen oder digitale Demokratien bringen? Vergessen Sie alles, was Sie über das digitale Zeitalter zu wissen glauben. Es geht nicht um Privatsphäre, Überwachung, KI oder Blockchain – es geht um Eigentum. Denn wer im digitalen Zeitalter Informationen besitzt, kontrolliert die Zukunft. Informationen sind heute überall. Von Ihrer DNA bis zu den neuesten Blockbustern, von lebensrettenden Medikamenten bis zur App auf Ihrem Handy, von großen Daten bis zu Algorithmen. Unsere gesamte globale Wirtschaft ist darauf aufgebaut und die Regeln um Informationen betreffen uns jeden Tag. Da Informationen immer mehr in den digitalen Bereich gelangen, können sie problemlos kopiert und verteilt werden, was den Zugriff und die Kontrolle noch wichtiger macht. Aber die Regeln, die wir dafür aufgestellt haben und die sich aus der Art und Weise ableiten, wie wir mit physischem Eigentum umgehen, sind hoffnungslos unangepasst an die digitale Welt. In diesem dringenden und provokativen Buch zeigt Rufus Pollock, dass wir uns entscheiden müssen, ob wir Informationen offen, von allen geteilt oder geschlossen, ausschließlich im Besitz und unter Kontrolle halten, und wie die heutige geschlossene digitale Wirtschaft die Quelle von Problemen ist, die von wachsender Ungleichheit über unerschwingliche Medikamente bis hin zur Macht einer Handvoll technischer Monopole reichen, um zu kontrollieren, wie wir denken und abstimmen. Die Entscheidung für Open ist der Weg in eine gerechtere, innovativere und profitablere Zukunft für alle. Holen Sie sich das Buch und erfahren Sie mehr auf openrevolution.net. Rufus Pollock interagiert regelmässig mit der Schweizer Community, am nächsten mit seiner Keynote am Opendata.ch/2018 – 3. Juli

Transparency, algorithms and data

- May 24, 2018 in algorithmic transparency, blog, data transparency, Events, International, Open Democracy, travel

Notes from the Data Transparency Lab 2017 in Barcelona

As part of Open Knowledge Finland, I attended the Data Transparency Lab(DTL) Conference in Barcelona last December. Unfortunately I only managed to attend the second day but since the sessions were recorded, I will be watching the rest online soon. Nevertheless, the second day had a lot of interesting talks and people, and I’d thought I’d note here some of the highlights.

The sessions, seemed to have an emphasis on transparency in the times of algorithmic complexity, which was great to listen to, even more so because the topic was covered from multiple angles. It was described from the angles of policy, design, ethics as well as practical demos accordingly in each session. So total the discussions were on a mix of high level discussion as well as practical applications. In this post I’ll try to summarise few of the talks, give some links to the people when possible, and add a few of my own thoughts as well.

The day started with a keynote from Isabella de Michelis from ErnieApp who described their startup’s point of view on companies and personal data. They argue that once users are aware of how they generate value for companies, they would be more willing to shift their permissions to a vendor type relationship rather than a customer one. For example, when owning an IoT connected fridge, a household should be able to get a discount on their electricity bill (since information about the fridge’s contents would be shared eg. to supermarkets for profit). An interesting position for sure, one which could be debated to clash with a later presentation from Illaria Liccardi.

Image from Liccardi’s research on user permission sharing. http://people.csail.mit.edu/ilaria/papers/ShihCHI15.pdf

Illaria Liccardi, as part of the ‘How to foster transparency’ session, presented her research from MIT on how people’s privacy permissions would change on apps they use, depending on the information provided. The results are possibly not as obvious as expected. They actually found that people are much more willing to give permissions for use of their data when no indication of how they will be used is given. However, they are less willing to give permissions to personal data when the reasoning of use is vaguely worded and yet somewhat permissive when there is a more detailed information from the side of the companies. The full research can be found on her page.

These are interesting findings that imply that for the general public to understand and give consent to give out personal data for company profit, there needs to be both an initial motivator from the company side, and also a good balance between sufficient and clear information on it’s use.

Namely, if people are more permissive when knowing less, then it is possible that the path to transparency won’t be as user-driven as expected.

Nozha Boujemaa from DATAIA institute, ( who was also the chair of that session), nicely put it that ‘data-driven does not mean objective’, which is something I can personally imagine myself repeating endlessly, especially in the context of data-driven journalism. A personal favourite entry point to the topic is on feminist data visualisation by Catherine Dignazio, who explainshow data and datasets can be wrongfully coupled with ideas that they are objective or presenting the truth. Nozha Boujemaa also discusses what would computational decision making systems need to be considered transparent. She notes for example that many Machine Learning (ML) algorithms are open sourced yet they are not open-data-ed. Meaning the data they have been trained on are actually proprietary, and since the decisions are actually based on exactly this trained models, then the openness of the algorithms are less useful.

The CNNum, the French national digital council, are actually trying to figure out how to incorporate and implement these principles for accountability in the french regulatory system. Moreover, their approach seemed to be really aware of the environment they are trying to regulate, in terms of diversity, speed of change cycles and they made a good note on the difficulty in actually assessing the impact of power asymmetry caused by algorithms.

Jun Huan (NSF) with the building blocks to model transparency holistically

Jun Huan (NSF) with the building blocks to model transparency holistically. Photo by author.

 

From the Nation Science Foundation (USA), Jun Huan, went a step beyond accountability for algorithmic systems towards their explainability and interpretability. In their research they are creating ways ML systems can identify and therefore indicate when they are actually ‘learning new tasks’ inspired by the human constructivism learning theory. It definitely sounded promising though due to my shallow knowledge on the topic, I am prone to algo-sensationalism!

Simone Fischer-Hubners, professor from Karlstad University, was chairing the session on ‘Discrimination and data Ethics’. She presented real world cases of discrimination and bias, such as the racial discrimination in online ad serving, price discrimination based on operating system used, predictive policing as well as an example case of gender discrimination in bibliometric profiling based on biased input data (women are less likely to self-cite). The last example is especially interesting because it highlights, that when we refer to biased computer decision making systems we tend to refer to the computational side of the system. However as in the example of the bibliometric profiling in academia, women are less likely to self-cite therefore already the ranking carries the initial biased sample of reality.

Julia Stoyanovich explaining why we should asses data science in its whole lifecycle.

Julia Stoyanovich explaining why we should asses data science in its whole lifecycle.

Julia Stoyanovich referred to that we should be assessing the fairness, accountability and transparency throughout the full data science lifecycle in order to be able to make valid conclusions on such systems. Her research with Data Responsibly, is actually centered around this topic as well. Last but not least, Gemma Galdon Clavell from Eticas added their own approach on research and consulting on ethical issues arising from technology and the importance of creating assessment criteria for technologies on society.

DTL actually funds projects globally, many actually awarded to university research groups, to create tools on the theme of data transparency. A part of the sessions was actually devoted exactly to those tools developed during 2017. The demos seemed by majority to be browser add-ons (and an app if I recall correctly ) that inform users on privacy leaks and ad targeting. Relevant topics for sure, though I admit I did catch myself pondering the irony of most privacy related add-ons being developed for Chrome..

The way I see it is that these subjects should eventually be discussed in even more wide audiences since they will affect the majority and in our daily life. It is therefore great to hear the researchers, dedicated circles and organisations who are actively working on these topics first hand.

Keep it open!

The post Transparency, algorithms and data appeared first on Open Knowledge Finland.

Transparency, algorithms and data

- May 24, 2018 in algorithmic transparency, blog, data transparency, Events, International, Open Democracy, travel

Notes from the Data Transparency Lab 2017 in Barcelona

As part of Open Knowledge Finland, I attended the Data Transparency Lab(DTL) Conference in Barcelona last December. Unfortunately I only managed to attend the second day but since the sessions were recorded, I will be watching the rest online soon. Nevertheless, the second day had a lot of interesting talks and people, and I’d thought I’d note here some of the highlights.

The sessions, seemed to have an emphasis on transparency in the times of algorithmic complexity, which was great to listen to, even more so because the topic was covered from multiple angles. It was described from the angles of policy, design, ethics as well as practical demos accordingly in each session. So total the discussions were on a mix of high level discussion as well as practical applications. In this post I’ll try to summarise few of the talks, give some links to the people when possible, and add a few of my own thoughts as well.

The day started with a keynote from Isabella de Michelis from ErnieApp who described their startup’s point of view on companies and personal data. They argue that once users are aware of how they generate value for companies, they would be more willing to shift their permissions to a vendor type relationship rather than a customer one. For example, when owning an IoT connected fridge, a household should be able to get a discount on their electricity bill (since information about the fridge’s contents would be shared eg. to supermarkets for profit). An interesting position for sure, one which could be debated to clash with a later presentation from Illaria Liccardi.

Image from Liccardi’s research on user permission sharing. http://people.csail.mit.edu/ilaria/papers/ShihCHI15.pdf

Illaria Liccardi, as part of the ‘How to foster transparency’ session, presented her research from MIT on how people’s privacy permissions would change on apps they use, depending on the information provided. The results are possibly not as obvious as expected. They actually found that people are much more willing to give permissions for use of their data when no indication of how they will be used is given. However, they are less willing to give permissions to personal data when the reasoning of use is vaguely worded and yet somewhat permissive when there is a more detailed information from the side of the companies. The full research can be found on her page.

These are interesting findings that imply that for the general public to understand and give consent to give out personal data for company profit, there needs to be both an initial motivator from the company side, and also a good balance between sufficient and clear information on it’s use.

Namely, if people are more permissive when knowing less, then it is possible that the path to transparency won’t be as user-driven as expected.

Nozha Boujemaa from DATAIA institute, ( who was also the chair of that session), nicely put it that ‘data-driven does not mean objective’, which is something I can personally imagine myself repeating endlessly, especially in the context of data-driven journalism. A personal favourite entry point to the topic is on feminist data visualisation by Catherine Dignazio, who explainshow data and datasets can be wrongfully coupled with ideas that they are objective or presenting the truth. Nozha Boujemaa also discusses what would computational decision making systems need to be considered transparent. She notes for example that many Machine Learning (ML) algorithms are open sourced yet they are not open-data-ed. Meaning the data they have been trained on are actually proprietary, and since the decisions are actually based on exactly this trained models, then the openness of the algorithms are less useful.

The CNNum, the French national digital council, are actually trying to figure out how to incorporate and implement these principles for accountability in the french regulatory system. Moreover, their approach seemed to be really aware of the environment they are trying to regulate, in terms of diversity, speed of change cycles and they made a good note on the difficulty in actually assessing the impact of power asymmetry caused by algorithms.

Jun Huan (NSF) with the building blocks to model transparency holistically

Jun Huan (NSF) with the building blocks to model transparency holistically. Photo by author.

 

From the Nation Science Foundation (USA), Jun Huan, went a step beyond accountability for algorithmic systems towards their explainability and interpretability. In their research they are creating ways ML systems can identify and therefore indicate when they are actually ‘learning new tasks’ inspired by the human constructivism learning theory. It definitely sounded promising though due to my shallow knowledge on the topic, I am prone to algo-sensationalism!

Simone Fischer-Hubners, professor from Karlstad University, was chairing the session on ‘Discrimination and data Ethics’. She presented real world cases of discrimination and bias, such as the racial discrimination in online ad serving, price discrimination based on operating system used, predictive policing as well as an example case of gender discrimination in bibliometric profiling based on biased input data (women are less likely to self-cite). The last example is especially interesting because it highlights, that when we refer to biased computer decision making systems we tend to refer to the computational side of the system. However as in the example of the bibliometric profiling in academia, women are less likely to self-cite therefore already the ranking carries the initial biased sample of reality.

Julia Stoyanovich explaining why we should asses data science in its whole lifecycle.

Julia Stoyanovich explaining why we should asses data science in its whole lifecycle.

Julia Stoyanovich referred to that we should be assessing the fairness, accountability and transparency throughout the full data science lifecycle in order to be able to make valid conclusions on such systems. Her research with Data Responsibly, is actually centered around this topic as well. Last but not least, Gemma Galdon Clavell from Eticas added their own approach on research and consulting on ethical issues arising from technology and the importance of creating assessment criteria for technologies on society.

DTL actually funds projects globally, many actually awarded to university research groups, to create tools on the theme of data transparency. A part of the sessions was actually devoted exactly to those tools developed during 2017. The demos seemed by majority to be browser add-ons (and an app if I recall correctly ) that inform users on privacy leaks and ad targeting. Relevant topics for sure, though I admit I did catch myself pondering the irony of most privacy related add-ons being developed for Chrome..

The way I see it is that these subjects should eventually be discussed in even more wide audiences since they will affect the majority and in our daily life. It is therefore great to hear the researchers, dedicated circles and organisations who are actively working on these topics first hand.

Keep it open!

The post Transparency, algorithms and data appeared first on Open Knowledge Finland.

Open Data Day 3.3.2018

- February 17, 2018 in Bern, Genève, International

Samstag, 3. März, ist Internationaler Tag der offenen Daten, und die Community von Opendata.ch trifft sich dieses Jahr im Effinger in Bern (Anmeldung via Link) und bei IFRC in Genf (Anmeldung und Details folgen). Interaktive Displays werden die frischesten offenen Datenprojekte zeigen. Anrufe zu anderen Städten und Ländern werden organisiert, und wir nutzen die Gelegenheit, um Menschen und Daten zu verbinden, und zukünftige Veranstaltungen zu planen. Der Open Data Day ist eine jährliche Feier der offenen Daten in aller Welt. Zum siebten Mal in der Geschichte werden Gruppen aus der ganzen Welt an dem Tag, an dem sie offene Daten in ihren Gemeinden verwenden, lokale Veranstaltungen organisieren. Es ist eine Gelegenheit, die Vorteile offener Daten aufzuzeigen und die Einführung offener Datenpolitiken in Regierung, Wirtschaft und Zivilgesellschaft zu fördern. Alle Ausgänge sind offen zur Nutzung und Wiederverwendung. Mehr erfahren:

Condatos 2017 and Abrelatam: Latin American Open Data Conference

- September 8, 2017 in Allgemein, Daten, event, International

Until one month ago, I had the pleasure to work as a community manager for Opendata.ch, co-coordinating the “Business Innovation food.opendata” and supporting different food-related open data projects that came out of the Open Food Hackdays in February 2017. In the beginning of August, I changed the scenery. For the coming year, I’m going to be studying in Costa Rica in Central America, finishing my Master’s degree in Strategy and International Management. Living in this new context and in a new culture, I was very curious how the open data world would look like in this part of the world. Two weeks ago, from August 23 to 25, 2017, I now had the chance to take part in the regional open data conference of Latin America, taking place in San José, Costa Rica. With this blog post, I would like to share with you the impressions I had and what the open data movement in Latin America is all about. In the following lines I will describe the various conversations with people from Mexico, Guatemala, Costa Rica, Colombia, Peru, Brazil, Uruguay, and all the way down until Argentina.

Open Data in Latin America – A civil society movement

Latin America is a region that faces a lot of issues – ranging from corrupt governments to lack in infrastructure and services to large inequalities in income and wealth. In times of digitalization, these inequalities become even bigger as the lack in infrastructure and resources leads to an inaccessibility to new technologies and education for many people in the region – widening ever more the gap between the more privileged and the poor. In order to close this gap, various civil society organizations started to collect their own data with the help of citizens in order to visualize and get information about the problems existing in the different countries. Further, many journalists are switching to data journalism in order to discover irregularities within the processes of sometimes corrupt governments. Open Data also helps governments themselves to keep transparency and figure – avoiding the huge economic costs that corruption entails. The Abrelatam and Condatos 2017 conferences were a gathering of around 300 civil society and data journalism practitioners from all over Latin America – including countries like Mexico, Guatemala, Costa Rica, Panama, Colombia, Peru, Brazil, Uruguay, Chile and Argentina – together forming a community to jointly address these issues.

Creativity is key

It was very impressive to see, with what professionality and creativity this conference was presented. The open data community in Latin America did a very good job in However, not only the visual design of the conference was very appealing. The conference itself consisted of a very interesting mix between collaborative brainstorming in form of an unconference – Abrelatam – the day before the actual two days of conference, where participants could share their thoughts and concerns. The following days were between talks and interactive workshops, allowing people to simultaneously gain more knowledge and apply this directly in practice. The issues talked about, the professional and creative presentation – especially in comparison to other events in Latin America – and a very motivated and inspired crowd made this gathering a very progressive and creative space where innovation actually could happen.

Open Data is a government priority

Who thinks that open data in Latin America is a minor movement that takes place at the periphery of society by a few geeks is very wrong. Facing a lot of challenges innovative governments in Latin America have recognized that in order to solve the social issues they need the help of the civil society and it’s citizens. That governments have recognized the potential that lies in open data is maybe best materialized in the presence of the President of the Republic Costa Rica who was present in the closing ceremony of the conference where he hold a keynote speech. In his words, there is a strong necessity for institutions to change and this can only take place in an interplay between governments, civil society and academia. Costa Rica actually started an initiative called “Gobierno Abierto” (Engl.: “Open Government”). Also in the panel about fighting corruption with open data it become clear that many of the Latin American governments are honestly attempting to make administration processes more efficient and transparent through open data. The way to go however still remains very large.

Where is Open Data in Latin America going?

Finally, it is to say that open data is in a very interesting stage in Latin America. This in the sense that the collection and publication of data through citizens actually can contribute to detect and visualize and create new solutions for problems that exist through a lack of governmental and institutional voids. Unfortunately, the role of businesses in this process hasn’t been discussed at large during this conference. Even though there were sessions on how to scale impact of open data initiatives and how to create business models, these were not merely targeted towards big corporations in the region. However, there seems to be a big potential for businesses especially in countries where there often exist a lack of basic government services. Finally, it became very clear among all the participants that there is a need for a change in mindset within Latin America’s society in order to push the agenda of the open data movement further. The fact that governments are starting to take on the efforts of the open data movement seems promising, but it also becomes clear that the members of the conference are far from being a representative sample of the Latin American society. In this sense, open data has to be pushed even further and be made more inclusive for the region’s citizens. All in all, I spent some very interesting days in San José where I met many very engaged and highly talented people pushing the open data agenda for Latin America further. As described, I personally think that this community consists over some very valuable skills in this region of the world to have a big influence and become a force for positive change – I will be very glad to follow this further. By Florian Wieser, September 5, 2017, from San José, Costa Rica.

Condatos 2017 and Abrelatam: Latin American Open Data Conference

- September 8, 2017 in Allgemein, Daten, event, International

Until one month ago, I had the pleasure to work as a community manager for Opendata.ch, co-coordinating the “Business Innovation food.opendata” and supporting different food-related open data projects that came out of the Open Food Hackdays in February 2017. In the beginning of August, I changed the scenery. For the coming year, I’m going to be studying in Costa Rica in Central America, finishing my Master’s degree in Strategy and International Management. Living in this new context and in a new culture, I was very curious how the open data world would look like in this part of the world. Two weeks ago, from August 23 to 25, 2017, I now had the chance to take part in the regional open data conference of Latin America, taking place in San José, Costa Rica. With this blog post, I would like to share with you the impressions I had and what the open data movement in Latin America is all about. In the following lines I will describe the various conversations with people from Mexico, Guatemala, Costa Rica, Colombia, Peru, Brazil, Uruguay, and all the way down until Argentina.

Open Data in Latin America – A civil society movement

Latin America is a region that faces a lot of issues – ranging from corrupt governments to lack in infrastructure and services to large inequalities in income and wealth. In times of digitalization, these inequalities become even bigger as the lack in infrastructure and resources leads to an inaccessibility to new technologies and education for many people in the region – widening ever more the gap between the more privileged and the poor. In order to close this gap, various civil society organizations started to collect their own data with the help of citizens in order to visualize and get information about the problems existing in the different countries. Further, many journalists are switching to data journalism in order to discover irregularities within the processes of sometimes corrupt governments. Open Data also helps governments themselves to keep transparency and figure – avoiding the huge economic costs that corruption entails. The Abrelatam and Condatos 2017 conferences were a gathering of around 300 civil society and data journalism practitioners from all over Latin America – including countries like Mexico, Guatemala, Costa Rica, Panama, Colombia, Peru, Brazil, Uruguay, Chile and Argentina – together forming a community to jointly address these issues.

Creativity is key

It was very impressive to see, with what professionality and creativity this conference was presented. The open data community in Latin America did a very good job in However, not only the visual design of the conference was very appealing. The conference itself consisted of a very interesting mix between collaborative brainstorming in form of an unconference – Abrelatam – the day before the actual two days of conference, where participants could share their thoughts and concerns. The following days were between talks and interactive workshops, allowing people to simultaneously gain more knowledge and apply this directly in practice. The issues talked about, the professional and creative presentation – especially in comparison to other events in Latin America – and a very motivated and inspired crowd made this gathering a very progressive and creative space where innovation actually could happen.

Open Data is a government priority

Who thinks that open data in Latin America is a minor movement that takes place at the periphery of society by a few geeks is very wrong. Facing a lot of challenges innovative governments in Latin America have recognized that in order to solve the social issues they need the help of the civil society and it’s citizens. That governments have recognized the potential that lies in open data is maybe best materialized in the presence of the President of the Republic Costa Rica who was present in the closing ceremony of the conference where he hold a keynote speech. In his words, there is a strong necessity for institutions to change and this can only take place in an interplay between governments, civil society and academia. Costa Rica actually started an initiative called “Gobierno Abierto” (Engl.: “Open Government”). Also in the panel about fighting corruption with open data it become clear that many of the Latin American governments are honestly attempting to make administration processes more efficient and transparent through open data. The way to go however still remains very large.

Where is Open Data in Latin America going?

Finally, it is to say that open data is in a very interesting stage in Latin America. This in the sense that the collection and publication of data through citizens actually can contribute to detect and visualize and create new solutions for problems that exist through a lack of governmental and institutional voids. Unfortunately, the role of businesses in this process hasn’t been discussed at large during this conference. Even though there were sessions on how to scale impact of open data initiatives and how to create business models, these were not merely targeted towards big corporations in the region. However, there seems to be a big potential for businesses especially in countries where there often exist a lack of basic government services. Finally, it became very clear among all the participants that there is a need for a change in mindset within Latin America’s society in order to push the agenda of the open data movement further. The fact that governments are starting to take on the efforts of the open data movement seems promising, but it also becomes clear that the members of the conference are far from being a representative sample of the Latin American society. In this sense, open data has to be pushed even further and be made more inclusive for the region’s citizens. All in all, I spent some very interesting days in San José where I met many very engaged and highly talented people pushing the open data agenda for Latin America further. As described, I personally think that this community consists over some very valuable skills in this region of the world to have a big influence and become a force for positive change – I will be very glad to follow this further. By Florian Wieser, September 5, 2017, from San José, Costa Rica.

Opendata.ch 2016-10-12 08:42:24

- October 12, 2016 in Forschung, International

Im Auftrag der Europäischen Kommission wurde zum zweiten Mal die Open Data Maturity europäischer Länder untersucht. Insite IT fasst das Ziel der Studie wie folgt zusammen:

«Die Studie prüft den Reifegrad von Open Data in der EU28+, also inklusive Norwegen, Schweiz und Liechtenstein und dies in zwei Bereichen: Open Data Readiness umfasst die Förderung und den Entwicklungsstand von nationalen Open-Data-Richtlinien. Und der Open-Data-Reifegrad, beurteilt die in nationalen Portalen angebotenen Funktionen wie UX oder Maschinenlesbarkeit der Daten.»
Betrachtet man die EU28+ Staaten, so liegt die Schweiz auf Rang 20. Im weltweiten Vergleich weicht sie sogar auf den 29. Platz zurück. In Bezug auf die Schweiz wird unter anderem der Sonderkurs bzgl. der Lizenzen hervorgehoben:
“Although there are global licences, countries feel the need to have their own specific licence. A particular example of this is Switzerland. The country does not have licences but works with terms of use.”
Die Studie kommt allgemein zum Schluss:
«Countries need to raise more (political) awareness around Open Data, increase automated processes on their portals to increase usability and reusability of data, and organise more events and trainings to support both local and national initiatives.»

Mehr Infos zur Studie finden Sie in deutscher Sprache auf inside-it.ch oder direkt im Bericht der Europäischen Kommission in englischer Sprache.