Part 3: Presentation of the Partituur

Explanation of the idea: “Partiture” as we know from music, which shows different instruments having an alignment in time. also has grouping instruments, like wired instruments.

We wanted to give this kind of view to the Covid timeline and explore what happens in a fine-tuned way to the infections. We make spreads based on seasons, showing the different regulations based on xxx number of categories (explain) and also the infection and vaccination rates based on age groups. On one side we see the division of seasons based on a partiture way. (Spring 2020- Spring 2022)

It’s a place-based partiture: First cluster displays offices, contact-based jobs, schools and health. The second cluster is about commercial activities and places, like shops, markets and horeca. The next cluster is about the recreational and cultural places/activities, like libraries, cinemas, entertainment park. the next cluster is about community activities/places (community. centres, religious spaces, etc.) The last cluster represents the public spaces and mobility activities.

So far, the information is a copy-paste from the old timeline, but it can be improved showing more the rhythm aspect. So, showing weekly opening times (weekends and weekdays, based on Resono), and when this changes; stop, opening with caution, etc.

We would like to make this very much based-on ZO and we have ethnographic data to put this fine-tuned information on paper. on one page we will have the partiture, and on the next page we will show what’s specifically happening in this season (example summer 2021, when there are many illegal parties amongst young people–known from the interviews, which also shows in the infection rates). We can also enrich this with stories from the interviews/ethnographic work.

We suggest that partiture can be a good way to bridge all the different data sources; ethnographic data, infections data and Resono data. and this could be the result we could present in the end.

We also had the idea to have a “overture” section at the beginning, displaying some ethnographic data, which will give more insights on why some curves are the way they are. 

[Download the WIP Partituur PDF doc]

Caroline: Partiture allows people to make their own analysis. this way it’s different from the idea of monitor, where it only shows the reality from the policy makers’ perspective. What we learned from the ethnographic research is that the pandemic is experienced differently for different groups of people and maybe the partiture allows for an accessibility of analysis to engage with different opinions on our work.

Sergei: What’s nice about the division of left and right is that the left side is quite homogeneous, where you can scroll and have some movement digitally. the right can be different based on the insights we want to show regarding the clusters or seasons.

Alessandro: It’s a nice idea, the scaffolding on the left part may differentiate based on which data we include. not sure how it will impact the overall quality of our work. The divisions so far make sense, but it also depends on the message we want to give. For example, I don’t know if superimposing the infections and vaccination like this will make sense visually. but it’s a nice concept.

Alexei: It’s good way to organize material and thinking. Quite impressive to see the difference between age groups, in terms of public life working like that.

Nikita: I really like the visual statics of it, very rhythmical and shows the idea.

Sergei: Since we are working on a specific location like ZO, we can show in the oeverture, in the introduction, focus on different scales, like talking about some datasets on city-level or even nation level. We do like a funnel, first from general to the specific to ZO.

Katya: This whole diagram, is it made for the whole area or for specific places and there will be many of them for each place?

Pinar: How it is filled in is based on the national data. but we want to make it specific to places in ZO. Maybe we can also provide a map of where these places are.

Katya: In terms of data, for ZO it might be the same because the national measures refer to this district as well. but in terms of mobility, it will be interesting to see if different districts are similar or different than each other. separate diagrams for different areas of interest could be interesting.

Pinar: There are regulations that are specific to ZO and interesting, like schools opening earlier and not closing.

Caroline: Building on Katya’s suggestion, I expect to see different rhythms in different periods of the pandemic, that we will see in different seasons or in different regulations. But we will see different rhythms in different areas as well. So how do we deal with that? It may be too complex.

Pinar: Maybe this could be an atlas, based on certain PC4’s in Amsterdam Zuidoost.

Katya: We can even select some custom geography, some areas based on activities. “Functional clusters” as we call them.

Caroline: Maybe data (Resono) also shows us where different rhythms emerged. It would be very nice to identify where and when rhythms of activities or infections changed.

Sergei: It would work to redefine the polygons (vernacular areas) based on what we want to represent in the partituur.

Pinar: Maybe this clustering doesn’t work, maybe we can make the clusters based on the polygons, which then matches what Caroline suggested with integrating better the Resono data/polygons, and then we can also go back to PC4’s to have the same unit of analysis.

Katya: Idea of making it interactive.

Caroline: In policy making there is causal relations between regulations, vaccinations, and infections. We don’t know if that causal relationship is true. We may find that this is not the right way of working. We might deny the regular causal relationships. maybe the data collection of partituur can be a way to understand what’s happening (our method is already a message/result).

Conclusions:

• Everybody agrees that it’s a good idea to present collected data and the city rhythm methodology. Making it interactive/digital will enrich the experience
• We will explore whether it will be possible to make a zoom in from the city borough level to the PC4 level, meaning that we would create one partituur for each PC4. This way, we will have a shared unit of analysis with the infections.
• Based on the results of the Resono data, we can enrich the partituur information with that.
  

Update about Resono data by Caroline:

• Beryl is ill.
• Kenneth (director AMS) and Caroline will sign the Resono contract. If Alessandro wants, he can sign too so we don’t make a mistake there.
• Regarding UBER media, the option to get the money back isn’t happening. But since it’s UvA who gave us the wrong advice, Caroline will discuss with them to get a refund through them. Resono will be signed weeks.