I don’t necessarily need to export pictures, just the natural language associated with any metadata would be helpful. As of now this metadata is missing (see gameb.ipynb)
Having this metadata could enable semantic analysis of the board which could compliment the same analysis on this wiki which was used to seed the board:
The analysis that you want to do looks very interesting. Are you an academic researcher?
Regarding your question about natural language, we are not planning on adding any extra features to the SDK in the near future, as we are currently focusing on improving the current functionality. Having said that, could you elaborate a bit more on what metadata you expect to be able to retrieve? In particular, could you explain what you mean with “the natural language associated with any metadata would be helpful”?
Kind regards.
Daniela
Developer Experience Team
“The analysis that you want to do looks very interesting. Are you an academic researcher?”
Yes, I am pursuing this analysis as part of a “knowledge management system” research team formed out of:
“Regarding your question about natural language, we are not planning on adding any extra features to the SDK in the near future, as we are currently focusing on improving the current functionality. Having said that, could you elaborate a bit more on what metadata you expect to be able to retrieve? In particular, could you explain what you mean with “the natural language associated with any metadata would be helpful”?”
The metadata that would be useful would be:
The labels, natural language statements contained in the shapes/widgets of this board. Specific user data would also be helpful, in the vein of https://www.mdpi.com/1999-5903/8/2/14/htm
These, plus additional NLP/NLU tools (which I don’t have a compete list of as yet, but probably many of the same tools available in https://iris.ai/) would enable me to study the miro board, much as wikipedia was studied in https://www.mdpi.com/1999-5903/8/2/14/htm. I am working on getting access to: https://wiki.p2pfoundation.net/Main_Page, where I will be attempting the same type of analysis. The miro board in question is related (somewhat) to the p2p wiki as the users/topics of each have some shared.
Essentially, I am looking for metadata that would enable analysis that is not possible via visual inspection/interaction as the current system allows. The full topical extent of this board is enormous, it covers topics that span a huge chunk of civilization/history/ontologies/etc
I could give you access to the board, here are some samples
here’s close to a full zoom-out
Here are some local shots
Whatcha think?
Hello Jason,
Sorry for the delayed response. Thank you for sending the detailed information about your research. Could you clarify what you mean with “natural language statements contained in the shapes/widgets”? Do you mean the text inside the widgets, like for example “Spirituality” and “Philosophy” in the green STICKER widgets in your last screenshot? If that is what you are referring to, it is possible to retrieve that through the API and SDK.
About specific user data, that would not be possible due to privacy concerns.
About data as a function of time, we do not have plans at the moment for such a feature.
Kind regards.
Daniela
Could you clarify what you mean with “natural language statements contained in the shapes/widgets”? Do you mean the text inside the widgets, like for example “Spirituality” and “Philosophy” in the green STICKER widgets in your last screenshot? If that is what you are referring to, it is possible to retrieve that through the API and SDK.
yup that’s exactly what I mean. I was able to access part of the meta data from the python REST API wrapper on GitHub
on user data/anonymity yea that’s totally fine, would be it still be possible to get an anonymous user-id (example “user-39baj8b7vv701&)? Just a label to differentiate contributions/interactions
on time, the board admin Johan C Branstedt can provide me with snapshots of the board at different times, so I can use that for any temporal analysis.
I would love to connect with you about what you are working on the Noosphere that you created in Miro, and beyond. I ran an experiment on Clubhouse www.eventforhumanity.com where we spent 4 weeks crowdsourcing best practices for Regional Resilience, using Miro & discord Otter and Raindrop to capture what we discovered.
Anyway- if you are still reading this thread let me know and maybe we can connect in the future.
