Visualizations
We think producing quickly and efficiently visualisations that are maximally relevant to specific segments of our stakeholders is key to our success in engaging progressively more participants.
We find ourselves in a particularly virtuous feedback loop if we manage to put contributors in front of a simple interface (to them) to enter data, knowing that their work will directly translate into an outcome valuable to them. The easiest way to achieve that is to give them a perspective on their own work that they didn't have before, because they can then address their peers with already new information.
For this reason, we need to be able to produce high quality visualisations in an extremely modular way. There are several reasons for the modularity:
- separation of concerns between querying the database for data and producing the visualisation itself;
- modularity of either side;
- access controls on components generating such requests.
For these reasons, we wish to split searches below into reusable components, but we are not there yet...
| Data ecosystem | Topic | Visualization |
|---|---|---|
| Adtech ecosystem | routes your personal data takes when you browse the web | Where is my personal data going |
| Elections | how political parties, social media services and voters connect through personal data | |
| Facebook's tools | various Facebook tools, and how they exchange information | [1] |
| Facebook and disinformation | how disinformation blends into our information ecosystem through Facebook | [2] |
| Cambridge Analytica scandal | visual summary | [3] |
| Scottish data ecosystem | MyData Scotland ecosystem mapping workshop | |
| Mobility data ecosystem | actors and activities in the mobility space | |
| Platform economy and work | workers contribute a lot of data to the gig work ecosystem | |
| MyDataLab Geneva | workshop run in the context of the OpenGeneva festival | |
| Open Science Hardware | Mapping the Gathering for Open Science Hardware community |