Co-Creation Workshop – Towards more Responsible and Sustainable AI, Data & Tech – One Prototype at a Time

“Because we want every line of code to make a responsible and positively sustainable difference to the world.”

On March 26, we brought together a remarkably diverse cross-section of our programmatic and support ecosystem – from researchers, public sector professionals and responsible AI and open source advocates to angel investors, philanthropists, and NGO practitioners – for a potent and energetic co-creation workshop to interrogate and co-shape the future of the @Prototype Fund Switzerland.

This was not a consultation, nor a focus group, but a genuinely collaborative creation session, led skillfully by our program lead and Opendata.ch Co-CEO Dr. Verena Kontschieder, phenomenal facilitator David Suhr and guest contributor Sophie Tomlinson.

Community members might have arrived considering themselves participants, but they left as true co-creators around the topic of Responsible and Sustainable AI, Data, and Tech as well as experimental approaches to the governance – both product and policy – of the former.

Together, we explored how the Prototype Fund – its origin being an early-stage tech-for-god incubator – can evolve, and which potential pathways might get us there. What emerged were insights we couldn’t have reached alone. They were grounded in lived experience, and shaped by the expertise, authentic suggestions, and professional concerns at the heart of the invited crowd.. 

Operating out of the heart of responsible technology?

As the host country of the 2027 global AI Summit, we are proud to recognize the unique and fascinating ecosystem we are privileged to operate in. 

In addition to being a European hub for major globally operating tech players, we are home to world-class research centres and hold a long track record of democratic, locally-led governance. 

To add an additional layer of intentional community-building, we chose to hold our co-creation workshop in a venue which was also hosting After the Algorithm, a ten-day immersive AI literacy festival that brought everyone from retirees to pre-teens on a journey through algorithmic thinking. That juxtaposition between the global and the deeply provincial is where honest conversations about AI tend to live.

What the conversations surfaced

Five themes emerged clearly from our discussions:

Responsible AI needs a method, not just a manifesto. The term “responsible AI” risks becoming “aspiration without application”. 

Participants were vigilant on this point: how do we operationalize these principles in real projects, with real constraints? 

The Prototype Fund’s iterative, experimentation-led methodology is part of the answer, and global initiatives in the experimental data and AI space, like policy prototypes, agility in governance, or sandboxes, offer useful models to learn from.

Funding public interest tech is a structural challenge. As philanthropic budgets are stretched thin and venture capital remains focused on bottom lines, the question of how to fund tech for good at scale grows urgent to us.

One participant asked pointedly whether responsible and sustainable AI should be evaluated through profit margins at all. 

The Prototype Fund sees an opportunity here in:

  • mapping networks of aligned funders, 
  • brokering partnerships, and 
  • helping articulate the case for public interest tech on its own terms.

Switzerland’s democratic DNA is an asset. The regional distribution of power and Switzerland’s culture of participatory governance creates a distinctive opportunity: can this country use its subsidiary, multi-level governance  structures to ensure AI genuinely reaches people’s lives and local communities? This was one of the more generative questions of the day, which we are continuing to sit with.

What constitutes “Swissness” can be a strategic edge. Participants encouraged us to anchor future Prototype Fund work into areas where Switzerland has genuine depth: environmental sustainability, democratic infrastructure, public value, and digital sovereignty. These aren’t just areas of national expertise; they may well become the defining themes of the 2027 Summit too.

With complex challenges comes a greater need for coordination. The most powerful response is purpose-driven, institutional alignment. Mapping networks, sharing challenges, distributing ownership, and building common cause across silos may be one of the highest-leverage things an organization like the Prototype Fund can do.

Why this matters to us

The Prototype Fund has invested five years into demonstrating that technology can be built with positive social impact in mind from the very beginning. That’s what we teach. And this kind of workshop, the kind that’s messy, and constructive while remaining genuinely collaborative and implementation-oriented, is how we stay accountable to that belief.

Thank you to everyone who attended and brought their expertise and candour to the table. A special thank you to Sophie Tomlinson from the Datasphere Initiative, David Suhr from Consense Philanthropy Consulting, and our Prototype Fund and Opendata.ch team. This work belongs to all of us.

Our next project recruitment round is coming up soon. If you want to join our collaboration ecosystem, either as a participant or as a co-implementing partner, please reach out.

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Let’s prototype systemic change.

Net zero is on everyone’s mind – but how do we achieve this goal together? We don’t know the final answer either. However, what we do know is a proven, methodically structured funding programme that demonstrably helps interdisciplinary teams to develop human-centred and collaborative technological solutions to complex societal problems: Welcome to Prototype Fund.

For the last years we have been supporting the development of civic and public interest tech projects. As of 2023 we are complementing our funding focus with a third topic: digital sufficiency. The definition of digital sufficiency we’ll be working with is based, among others, on this very publication: “Digital sufficiency: conceptual considerations for ICTs on a finite planet“. Four dimensions of digital sufficiency are mentioned in it, which, briefly summarised, cover the following areas.

Four dimensions of digital sufficiency

  • hardware sufficiency – fewer devices, therefore more durable, repairable and upgradeable;
  • software sufficiency – energy-efficient and data-saving software;
  • user sufficiency – the energy- and resource-efficient use of digital technologies and/or the use of digital technology to promote sufficiency practices;
  • economic sufficiency – the use of energy- and resource-efficient digital technologies to increase labour productivity, promote the circular economy, etc.

From 2024 onwards, we will support at least two projects per year that are explicitly dedicated to fostering digital sufficiency. Together with you, we want to find out and define where and how the concept can and must be promoted in order to contribute to a more sustainable social development.

Why digital sufficiency and prototypes go hand in hand.

Technological tools have the potential to promote resource and energy efficiency as well as the circular economy and thereby contribute to a CO2-neutral world. However, when viewed holistically and over the long term, rebound and induction effects can mean that the environmental impacts of digitalisation and technological innovation are not reduced or even increased.

It is therefore crucial to counteract these potentially negative effects as early in the development process of new digital solutions as possible to ensure that technology successfully contributes to decarbonisation. With the Prototype Fund, we support projects in precisely this early development phase – which is why we will incorporate the idea of digital sufficiency into our funding programme.

In doing so, we are responding to our conviction that more systemic approaches are needed to tackle the global multi-crisis. We need to move away from the narrative of omnipotent tech geniuses, away from solutionism and towards more holistic, collaborative bottom-up solutions. Due to its special funding structure, the Prototype Fund has great potential to successfully support this transformation process. Together with you, we want to make use of this potential.

This is how we’ll foster digital sufficiency.

As always both software and hardware projects can be submitted to us. However, we explicitly encourage you to also apply with projects that promote digital sufficiency by other means. Even if code and soldering irons are only secondary to your project idea, you should still try to apply. We are willing to learn from your project ideas what sufficiency can mean in the digital context.

In addition to the two projects that explicitly address one of the four dimensions of digital sufficiency, we also continue to fund projects that are not primarily aimed at this field. However, we recommend that all applicants familiarise themselves with the topic during the application phase and check their concepts for untapped potential contributions to digital sufficiency. If you are unsure whether your idea fits our focus topic, you are welcome to contact us by email and ask us your questions – you can reach us at .

Further information on the focus topic “digital sufficiency” will be published here on our website at the beginning of the next application phase (autumn 2024). If you don’t want to miss our next call for projects, make sure to subscribe to our newsletter and follow us on LinkedIn and Mastodon.

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If you want to find out more about our new focus topic right away, follow the links below (some articles are available in German only).

Subtract | The untapped science of less
Klimaschutz durch digitale Technologien (UZH)
Digital Reset
Digitalisierung und Umwelt / Estermann BFH
Digital Sufficiency – Conceptual Considerations…
https://www.one-planet-lab.ch/post/welche-strategien-gibt-es-um-eine-nachhaltige-entwicklung-voranzutreiben
Jenseits der “Grünen Ökonomie”
Digitalization, Efficiency and the Rebound Effect
Don’t reduce your footprint!
Reading list «digital sufficiency» – some posts are in German only.

Digital Verifiability: What You Need to Know

by Tim Reutemann, Climate Gains

tldr: Very few digital structures are actually verifiable. However, the cost of faking data varies widely by data type and the verification methods, making some data formats are more suitable for verification than others. As a rule of thumb, richer data is more expensive to fake. Public-Private Key cryptography provides some useful tools, but is in and of itself insufficient to ensure verifiability.

Verifiability of digital data and the Paris Agreement

Historically, public funds for climate action have attracted various fraudsters, making donors extremely skeptical. It is also in the nature of international climate collaboration that the people closest to the action have most to gain by lying about the size of the impact. Thus most climate funds and donors prefer to pay for verified impacts only. However, the more scientifically literate donors also understand that the non-existence of an invisible trace gas – the actual “impact” of a climate action – can only be monitored and verified by proxy. Thus the common understanding is that the verification focuses on the monitor-able actions instead.

In my classic example, the real-world action it thus requires verification of a energy efficient stove actually being used to prepare meals in a school.

Making those real-world actions verifiable in a digital native way is crucial in today’s world where almost all data is processed and stored electronically. Even more critically, only digital verification methods can scale without proportionally scaling the cost of verification and thus limiting the speed of scale up of climate action. However, with the constant threat of cyber attacks and fraud, it’s important to understand what verifiability means in the digital world.

The Core Problem

At its core, the problem with digital verifiability is the deep uncertainty of digital systems. Even when a system is considered “secure,” it’s may be only a matter of time until a vulnerability is discovered and exploited. So the recommendations at the end of this article can only be a snapshot of the state of verifiability at the time of publication.

However, all digital data, whether it’s a photo, video, or a series of numbers, is just a binary — a long series of 1101011011101… This means that digital verifiability largely boils down to mathematics. Fortunately, those underlying mathematical properties have remained solid for a long time. There is one mathematical threshold concept without which discussions of digital verifiability is not viable: Asymmetric cost of computation. If you do not know what those words mean, please read the footnote at this end of the article before continuing.

Verifiability of Data Types

Not all data formats are equally verifiable. Some data formats are very hard to fake, while others are almost impossible to verify. Here are three categories of data formats based on their verifiability:

Mathematically Verifiable Data
These are data formats for which there are no known mathematical tricks to break, even with the most powerful computers. Examples of such data include RSA signatures confirming the upload timestamp of a file and the hash of a file, which confirms that the data has not changed since its upload. However, the drawback of this type of data is that it requires reliable private key management, an eldritch art only mastered by a few elite hackers.

Somewhat Verifiable Data
These data formats are in an ongoing arms race against fake data generation technologies, but they currently have the lead. It’s generally cheaper to be truthful with this type of data than to lie, and the difference in effort increases with resolution of the data. Examples of such data include audiovisual data such as videos and satellite images. The underlying math has an asymmetric cost of computation, but the asymmetry is not as extreme as for RSA signatures. Put simply, it is much harder to create a fake video than to detect a less-than-perfect fake, and the higher the resolution, the stronger this effect.

More often than not, these types of data are easier to verify for a human than for a computer — analog to the the “I’m not a robot” / captcha type of problem.

Unverifiable Data
These data formats are easily manipulated and indistinguishable from real data. It’s usually cheaper to fake this type of data than to collect the real data. Examples of such data include text, purely numeric data, data with predictable patterns (e.g. solar energy production can be predicted from weather data) and GPS data.

Verifiability in the digital world, requires an architecture that relies on the second type of data formats and thus makes it prohibitively expensive to create plausible fakes.

On Sensors

Sensors are pieces of hardware that record the physical response of a detector and encode it digitally. The most commonly found sensors are the microphones, cameras, gyroscopes and GPS sensors embedded in every smart phone. Any monitoring system relying exclusively on smart phones can thus rapidly scale over large areas.

While the idea of custom made sensors (e.g. thermometers inside a stove) may sound appealing enough to ignore all privacy concerns, their verifiability is complicated — especially if their technical specifications, including the source code of all drivers and the logic circuits of their electronics is proprietary. Unless the sensor is an actual “secure hardware environment”, the data generated by a thermometer is just purely numeric data and thus falls into the “unverifiable” category.

Tools and Recommendations

Given the extremely low cost and wide availability of smart phone cameras, There is simply no excuse for NOT requiring video evidence for a climate action.

While it is very well possible to lie with a camera by framing and deliberate choice to exclude parts of the real situation from the image, this can be counteracted by enforcing a “script” on video recordings. The cost of creating entirely fake videos is dramatically increased by the addition of such requirements.

One requirement that we use is a 360 degree camera rotation or camera movements from panoramic outdoor view into a room without cuts.

Another requirement that greatly increases the cost of faking a recording is to include a random element in the script that is revealed only shortly prior to the recording — this trick limits the time available to fake the video to the period between the reveal of the random element and the (verifiable) upload date.

Further, the videos can be accompanied by additional weaker data allowing for triangulation:

  • GPS Data can be combined with satellite pictures to locate the structures visible in the video (e.g. buildings, trees, hills) — we use the 360 degree shots for this purpose.
  • Gyroscope data recorded while filming should match the camera movement — adding to the difficulty of creating a fake.
  • Last but not least, verification can be supported by social data. For example, you can require recordings of interviews with local community leaders and keep reputation scores of the local change agents recording the data.

We have a prototype for this approach up and running with our new venture Climate Gains.

Footnote on Asymmetric Cost of Computation: The concept of asymmetric cost of computation refers to the idea that performing certain mathematical operations is much more difficult or resource-intensive in one direction compared to the opposite direction. This property is leveraged in various digital security systems, including public-private key cryptography. In these systems, it is computationally easy to encrypt a message, but difficult to decrypt it without the proper key. The idea of asymmetric cost is a critical component in understanding how digital security systems function and provides a framework for evaluating the feasibility of various verification methods.
Here is a basic explanation in a video, https://www.youtube.com/watch?v=d_FU9tZIo10 resp. as text https://maths.straylight.co.uk/archives/108. If you want to experience asymmetric calculation cost with your own brain, you can try this exercise: “Prime Factorization” is finding which prime numbers multiply together to make the original number.

Calculate the prime factorization for 8507.

Now multiply 181 and 47.
Which way was easier?

Become Part Of Our Team

We are looking for a dedicated individual with project management and communications experience to continue managing our Prototype Fund (and possibly more). Become part of an agile non-profit, a fantastic team and a great mission: fostering open technologies by and for the people in Switzerland!

Your diverse project applications in 2020

Preparing means looking back to learn before moving forward and trying to improve. This is why we systematically evaluated the project applications submitted in spring 2020 for the first funding round of the Prototype Fund. The first funding cycle came to an end with the Demo Day on 2 March at 5.30pm and the second funding round starts on 7 April 2021.

At Opendata.ch and Stiftung Mercator Switzerland, we value transparency and we therefore want to share our findings about the applications received. We started with few expectations about how many applications we would receive and from whom. We were surprised and impressed by the number, quality, and diversity of the projects and the project teams. Our own evaluation identifies some room for improvement – but hey, who doesn’t have that? We already thank you for supporting us to perform at least as well in 2021.

Who wanted to prototype in 2020?

In total, 63 project applications were submitted. The creativity and breath of the ideas were impressive. Figure 1 shows that projects addressed all dimensions of the policy cycle. A majority of projects sought to enable digital democration participation by providing information  (19.5%), which allows citizens and residents to exchange information on specific problems and to understand individual needs or major patterns and trends, and to better informing citizens and residents (16.7%). Tools for proposing ideas (12.4%), taking decisions (11.4%) and other activities (11.4%) were also prominently represented. Each project could tick up to four dimensions to situate their project in the policy cycle.

Figure 1: Project applications in spring 2020 according to  the Policy Cycle. Project applicants could choose 1-4 categories .

We aimed for a diverse mix of innovative project ideas as well as for diverse teams. We are convinced that having a (almost) 360° perspective of the challenge tackled is important for the design of a relevant and useful tool for democratic participation. Our impression was that many teams and especially those on the short list of the jury were highly interdisciplinary although we cannot prove it quantitatively. Other aspects of diversity can be more readily described. For example, Team size ranged from one to six with half of applications having four or more team members with most teams consisting of five members (Figure 2).

Figure 2: Distribution of team size

We present further key figures in Table 1. The average age of the members in a given team was 35. The youngest team had an average age of 25 while the most experienced one was about 55. Most project teams requested close to 100,000 CHF, the maximum amount available per project. Although we were open to funding some smaller projects, we did not receive many such applications.

Table 1: Characteristics of project applicants and projects submitted in 2020

Regarding gender and geographical diversity, we did decently but there is still room for improvement. We received one third of applications from a female project lead but almost three-quarter of applying team members were male. The French-speaking Swiss (Romands) were also underrepresented relative to their population share in Switzerland (22.8%) with 10% as main applicants (i.e. submitting applicant) and representing 13% of all applicants. Figure 3 shows that applicants live all across Switzerland and even abroad at the time of application. A high share of applicants is based in Zurich. Note that the data is available for a subsample of applicants only. 

Figure 3: Canton or country of residence of applicants at the time of application

Our goal was also to signal openness to non-Swiss citizens which do not have the right to vote in most municipalities and cantons. We succeeded in this endeavor: one fifth of all Prototype Fund applicants did not hold Swiss citizenship.

Who got selected for prototyping?

The five winning projects were at least as diverse as the pool of project applications. Together, their projects cover most dimensions of the policy cycle. The selected teams were highly interdisciplinary, and, except for one, of mixed gender. Age-wise, the team members ranged from recent design graduates and ETH students to experienced IT professionals and pedagogues.

One team was made up from people living in different French-speaking cantons while the other four teams worked in their respective home offices scattered over several Swiss German cantons. Some people spoke neither German nor French nor did they hold the Swiss citizenship but were increasingly fascinated by Swiss democracy.

Will you be prototyping from September 2021?                           

In 2021, we aim again for innovative and high-quality applications from diverse teams from all over Switzerland. We will make special efforts to make the Prototype Fund better known in French-speaking Switzerland, to promote the program among female activists and techies, and aim to receive at least one application from the Ticino in this second funding round.

We look forward to your application! Applications will open at the end of March. Do not hesitate to contact us with your questions.

voty.ch bringt Demokratie an die Schule

«Kein Bock auf Demokratie! Politik ist viel zu kompliziert und schlussendlich entscheiden eh die Alten». Egal ob das stimmt oder nicht, aber immerhin gibt uns die Demokratie auch die Werkzeuge in die Hand, um das zu ändern. Doch der Umgang damit will zuerst erlernt werden. Denn nur wer ein Verständnis dafür entwickelt, wie unser Umfeld und unser Land mit Engagement und Partizipation entwickelt werden kann, wird sich auch an den demokratischen Prozessen beteiligen.

Online Werkzeugkiste für politische Bildung

Genau hier setzt voty.ch an. Mit einer Online-Werkzeugkiste für die politische Bildung in Schulen wollen wir helfen, ein Verständnis für die Schweizer Demokratie zu fördern und erste Erfahrungen mit demokratischen Prozessen zu ermöglichen. Nach zahlreichen Gesprächen mit Lehrer*innen und Bildungsorganisationen haben wir nach zwei Monaten Prototyping Anfang November 2020 unser Abstimmungstool lanciert. In Zusammenarbeit mit «easyvote.ch» haben wir Schulklassen aufgefordert, die «Konzernverantwortungsinitiative» und das «Kriegsmaterialgesetz» im Unterricht zu diskutieren, um dann eine Online-Abstimmung durchzuführen. Dabei haben 11 Klassen auf Stufe Sek-1, Gymnasium und Berufsschule mitgemacht, debattiert und schlussendlich ihre Meinung kundgetan. Von den beteiligten Lehrpersonen haben wir wertvolles Feedback erhalten, welches bereits wieder in unsere Plattform eingeflossen ist.

Ein erster Blick in die Toolbox für den Demokratie-Unterricht

Wir wollen die Stimme der Jugend repräsentieren

Unser Ziel ist es, über tausend Jugendliche abstimmen zu lassen, um so die Jugend in aktuellen politischen Fragen zu repräsentieren und ihr eine Stimme zu geben. Das hat beim ersten Mal noch nicht ganz gereicht, doch wir bleiben dran, werden unser Abstimmungsmodul weiterentwickeln und für den nationalen Urnengang vom März (E-ID Gesetz, Stopp-Palmöl, Verhüllungsverbot) ab dem 5. Februar für Schulklassen aufschalten. 

Schulklassen haben im November über die Konzernverantwortungsinitiative abgestimmt

Digitale Lerninhalte und Diskussionsformate

Gleichzeitig entwickeln wir ein Angebot an digitalen Lerninhalten für die politische Bildung. Neben einer Auswahl an Videos von «SRF mySchool» und dem Bot «Chaty», der Grundbegriffe der Demokratie erklärt, stehen vor allem interaktive Tools (Einzel- oder Gruppenarbeiten) im Vordergrund. Auch die Möglichkeit der Online-Diskussion mit der Klasse ist integriert und ergänzt so die Debatte im Klassenzimmer. 

Kennen Sie engagierte Lehrpersonen (Sek-1/Gymnasium/Berufsschule), welche unsere Online-Werkzeugbox ausprobieren und mitgestalten möchten? Dann schicken Sie sie unbedingt auf voty.ch

Tough questions – smart answers? And what we learned along the way

“smartask” allows citizens to share their questions, concerns or ideas directly with national parliamentarians. It aims to enable the interaction between citizens and law makers and hence to encourage political participation. In the process of developing such a platform we learned that there is no such thing as failure, as long as you adapt your approach and try again.

So far so good

Before we started prototyping we conducted interviews with three parliamentarians. As they are part of one of our two main target groups, it was important for us to get early feedback and inputs from them. As useful as these interviews were, they also presented the first challenge: to get appointments within the set timeline. As soon as your next steps depend on previous ones, your timeline can easily be blown up. The same lesson applies to user-testing. It is a constant tradeoff between speed and accuracy and we had to learn to find the right balance. For the interviews this meant that although we could not conduct the number we had planned, we still received some qualitative feedback which allowed us to  proceed with confidence. 

…key learning: “Dream big. Start small. But most of all, start.”

Simon Sinek

Part time gives us a hard time

The project team is a joint venture between Politools (Political Research Network) and Liip AG. People from various backgrounds, different places and with diverse work schedules come together for weekly meetings. The common denominator is that most of us work part time – which turned out to be the next challenge: what’s done today can sometimes only be reviewed tomorrow and if necessary changed the day after tomorrow. The fact that everything happens virtually these days makes it somewhat easier, which allowed the following solution: Daily and very short morning-meetings during IT sprint sessions help to quickly exchange on what everyone is planning to work on that day and to ask questions to whoever is available. This guarantees the flow of information and keeps the motivation high.

…key learning: “If a picture is worth a thousand words, a prototype is worth a thousand meetings”

Tom & David Kelley, IDEO

Prototype vs. MVP (Minimum Viable Product)

Since prototyping started in September, ideas have turned into tangible forms. User experience constantly improves, design concepts are refined and more features are implemented. At the end of the day you find yourself pondering over whether a button should be dark yellow or rather pastel. It happens quite often that we lose ourselves in such details instead of putting these resources into other, more important aspects of the tool. Therefore, we have to remind ourselves from time to time that it is all about the minimum viable product and that our primary goal is a functional prototype – not the final product (yet). 😉

…key learning: “Everything should be as simple as it can be, but not simpler”

by Albert Einstein

In these first few months we did a lot of brainstorming, we created things, changed them later on, re-evaluated certain steps and skipped others. Critical reflection is important and sometimes we have to be brave enough to reject certain ideas as well as open enough to accept new ones. This might sound exhausting, but it really isn’t – as long as you stick to the time frame to stay on track. And don’t forget to have fun along the way! 

Games for Democracy – a journey to the moon

In September, we kicked off the 3rd iteration of Projekt CH+, together with the Prototype Fund. Our new prototype will  be more playful than previous versions. We are Sophie, Emma, Oliver and Florian, an interdisciplinary team of game designers and we are the youngest team at the Prototype Fund. What we lack in experience, we make up with enthusiasm… and maybe one or two jokes, while we’re at it. Our passion for developing educational games has brought us together. Looking back at the last four months, we can confidently state: Our learnings have made us grow up so much, we feel like we might no longer be the youngest team.

Still young but having acquired some wisdom

So, does old age come with wisdom? We’ll let you be the judge of that:

Communicating

Game development brings people with various skill sets together. Gameplay, visuals, music and content creators meet to create unique experiences for users. In our case, Emma and Sophie design the visuals, Oliver and Florian write the code. Those who work on a given day, meet online on a daily basis to coordinate and work with visual mockups early on to ensure that we are all on the same page. Even though team meetings do take time from other, seemingly more productive activities, they are absolutely worth the time as we have come up with unique and creative solutions.

Team work

Scoping

We are shooting for the moon. As a team, we are not very fond of playing it safe. Where’s the fun in that? Maybe it is the fact that most of us spend quite some of our free time in fantastic game worlds is one of the reasons why we aim for fantastical outcomes in our work. While we continue to aim for the moon, we have learned to plan our journey and know that we need a couple of pit stops before our moon landing.

Yes, we want to tease you… scroll down for more!

Being Flexible

While project timelines and development plans provide stability, these plans should not be set in stone while prototyping. Especially when working with an iterative approach, new challenges pop up on a regular basis. Even if we love our initial ideas, staying open to and seeking constructive criticism and implementing feedback even if it means adjusting timelines is key for reaching the moon one day.

Now, dear reader, if you think that all these points are pretty obvious, you are perfectly right. But – a big BUT (and we cannot lie): we’ve realised that there is a big difference between knowing these things and experiencing them.

We are trying to use the best of what game design has to offer in order to make political self-education fun and entertaining for all ages but especially young voters. This is not an easy task and we are constantly being challenged, in our technical fields of expertise but also in our first experiences as a young team under pressure to perform to our own, but also external expectations and aims. In the end, it all comes down to playing towards each other’s strengths and pulling towards the same vision.

Haha, just more teasing: find us at Projekt CH+ Plus to learn more – soon enough 😉

Die Schweizer Demokratie ins 21. Jahrhundert begleiten

Wagen wir die digitale Demokratie oder verzichten wir vorerst auf eine breit abgestützte und zeitgemässe Partizipation? Mit dem Projekt “owlly” wollen wir die Schweizer Demokratie ins 21. Jahrhundert befördern! Wir verfolgen das Ziel, E-Collecting, also das Sammeln, Bescheinigen und Zählen von Unterschriften für Volksbegehren, in der Schweiz zu ermöglichen.

Die Idee ist einfach, aber die technische Umsetzung, die rechtliche Grundlage und die politische Akzeptanz sind Herausforderungen.

Während der letzten drei Monate durften wir einiges lernen und haben folgende Erfahrungen gemacht, welche wir mit euch teilen möchten:

Austausch

In zahlreichen Gesprächen mit Bürgerinnen und Bürgern, Vertreter*innen aus der Regierung und Campaigner*innen konnten wir viel Lehrreiches über die bisherige Debatte, die Ängste und Sorgen, aber auch die Chancen für E-collecting erfahren. Dabei konnten wir unseren eigenen Wissensstand und somit unseren Horizont erweitern. Das ist insofern wichtig, weil sich noch niemand an eine ganzheitliche Umsetzung von E-Collecting gewagt hat. Bisherige Projekte und politische Vorstösse haben sich jeweils nur mit einem Teilprozess von E-Collecting befasst.

Interdisziplinäres Team

Unser Team besteht aus fünf jungen Männern. Nicht gerade das, was man sich in erster Linie unter einem ausgewogenen Team vorstellt. Dennoch ermöglichen uns die verschiedenen beruflichen Hintergründe das Thema aus unterschiedlichen Blickwinkeln zu betrachten. So haben wir neben einem Software Entwickler und Produktmanager auch einen Geografen, einen Maschinenbauer und einen Grafiker in unseren Reihen. Auch machen verschiedene Nationalitäten und Wohnorte die Zusammenarbeit interessant und lassen viele Einflüsse und Ansichten ins Projekt einfliessen.

Papier und Stift helfen in der Konzeptualisierungsphase

Bleib in Bewegung

Von Anfang an haben wir uns zum Ziel gesetzt, jederzeit ein MVP (Minimum Viable Product) zu haben. Zu diesem Zweck haben wir unser Projekt schon zu Beginn in fünf verschiedene Streams aufgeteilt und pro Stream alle zwei Wochen einen Feedback-Loop eingebaut. Das hat uns ermöglicht, jederzeit über einen Teil des Projekts ein Feedback einzuholen. Da wir vor allem in der ersten Projektphase mit Papier-Konzepten oder Click-Dummys arbeiteten, konnten wir so sehr schnell Fehler machen, daraus lernen und die Verbesserungen mit der nächsten Iteration implementieren.

Einblick in die user journey unseres Prototypen

Abschliessend gibt es aber noch das kleine Virus, welches auch unsere Pläne beeinflusst hat, zu erwähnen. Was wir als Team aus den letzten Monaten mitnehmen, ist die Arbeitsweise, an die wir uns zuerst gewöhnen mussten. Wir haben uns alle aufgrund der Corona Situation noch nie zu fünft “in echt” getroffen und vermissen langsam den direkten und persönlichen Austausch. Trotz allem ist es aber auch erstaunlich, was wir bis jetzt trotz dieser Herausforderungen als Team schon erreichen konnten. Wir freuen uns schon jetzt auf ein spannendes Jahr 2021. Denn eines ist für uns jetzt schon sicher: Nach dem Corona Jahr, wo das Sammeln von Unterschriften an seine Grenzen gekommen ist, wird im 2021 das Thema E-Collecting definitiv auf der politischen Agenda der Schweiz landen. 

Gute Stimmung an unserer Online Weihnachtsfeier 🙂

FairElection: la solution aux problèmes de diversité dans les élections internes

En Suisse, la politique semble ne jamais s’arrêter. Les réseaux sociaux s’animent de campagnes de votation et d’élection en permanence. Durant l’automne 2020, l’équipe du projet FairElection a rencontré 6 représentant-es de partis politiques à travers la Romandie, avec une incursion par visioconférence en Suisse alémanique. Nous avons parlé élections, primaires et procédures de choix au moment d’établir des listes de candidat-es. A chaque conversation, la même impression: une campagne est toujours en route, les comités et secrétariats de partis ne se mettent jamais sur pause. A travers les vertes contrées d’Helvétie, une élection est toujours en préparation, avec ses comités, ses soutiens, ses coups de fils et ses esquisses d’affiches. Dans ce tourbillon d’activités, tous nos interlocuteurs expliquent que, par-dessus tout, la politique consiste avant tout dans la gestion d’équipe, de l’humain, avec des hommes et des femmes qui veulent se mettre au service de la population. Dans cette gestion d’équipe, le moment du choix des candidat-es est une phase particulièrement tendue. Luttes intestines et conflits d’ego sur fond de grandes déclarations du parti semblent programmés.

Diversité et représentation – la photo officielle du Conseil fédéral en 2008

Un outil pour la sélection des candidat-es dans les partis politiques

Prenant acte de ces défis, nous rencontrons ces représentant-es de parti pour leur proposer une innovation politique. Grâce au soutien du programme “Prototype Fund”, initiative commune de l’association OpenData et de la Fondation Mercator Suisse, nous sommes en train de développer un outil pour accompagner les partis dans leur processus interne de sélection de candidat-es. L’outil s’appelle “FairElection” et nous voulons en faire un instrument de travail pour tous les partis du pays. 

FairElection permets aux partis de mener et d’expliciter une discussion sur le type de candidat-es qu’ils veulent mettre sur leur liste. Tous nos interlocuteurs ont confirmé que l’ambition de représenter leurs électeurs-trices était cruciale. Pour ce faire, une méthode efficace consiste à choisir des candidat-es qui ressemblent à la population, au moins dans les grandes lignes. La population est diverse ? Les candidat-es à une responsabilité politique devraient l’être aussi afin de renforcer le sentiment d’appartenance des citoyen-nes et de garantir les meilleures décisions politiques possibles.

Bien sûr, les partis rencontrés n’ont pas tous les mêmes objectifs de représentation. Pour certains, la question de l’égalité des genres est clef et les listes sont d’ores et déjà paritaires. Pour d’autres, ce sont plutôt les domaines d’activité qui doivent être mieux représentés, ou les régions, ou encore les différents groupes d’âge. L’outil “FairElection” veut être la plateforme de ce débat, à mener directement au sein des partis: quelle diversité voulons-nous sur nos listes de candidat-es? A quelle population voulons-nous ressembler? Une fois que ces critères sont fixés, comment les appliquer à la sélection de nos candidat-es? Sur la base des réponses choisies par le parti, l’algorithme FairElection met en oeuvre les critères de représentation.