Open hlapp opened 1 year ago
I really like this idea - you could have a "looking for" type tag system that could list not only the type of AI/ML you're trying to get at but also the level of help you need. Stack overflow q&a or full coauthor level collaboration for the data generators. Likewise a list of tags that might be useful for data/ computer scientists to find datasets that they find interesting.
Great idea! I believe something similar is already in development (BioNet). I think it won't include posting the description of the data like suggested above, but rather the data owner will seek professionals to analyze it. Kind of like Fiverr for scientists. I might be wrong however, that's just how I understood the concept.
I like this idea and feel thrilled about it. Just one question - is the collaboration limited to Imageomics related or it can be broadened to include videos of insect interactions, crop drone imageries, or phenocams?
Glad you are excited. Collaboration is not at all limited to Imageomics!
On Wed, Aug 2, 2023 at 7:31 PM Hsun-Yi Hsieh @.***> wrote:
I like this idea and feel thrilled about it. Just one question - is the collaboration limited to Imageomics related or it can be broadened to include insect interactions, crop drone imageries, or phenocams?
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I imagined a general biology - machine learning matchmaking service. So any field.
I like the idea. A general list of "open problems" for particular data would be a start. I think it would also be useful for ML scientists to includes lists of tools and their capabilities so the matchmaking is possible both ways. I feel like there should exists a platform for this, even just using wiki pages would be a start.
@AnnaLew Do you have a link to the BioNet you are referencing?
Late to the conversation here, but I'd be very interested to help identify potential datasets and promote a matchmaking service to folks who have image collections and want to collaborate!
I was able to talk to a few of you about this during the workshop and I'd love to keep some momentum going.
I'll second @DavidCarlyn
@AnnaLew Do you have a link to the BioNet you are referencing?
Looking at existing efforts before trying to recreate the wheel seems like a good idea!
From the biologist side of the matchmaking I'd love to pass on any information to biologists from ML experts about where they might discover possible datasets to work on, and if there are any standards data managers could put data in to make the collaboration easier. For example, getting datasets in huggingface, opinions on whether formatting images and annotiations using coco formats https://cocodataset.org/? Role of Kaggle competitions, etc.
@adyork @DavidCarlyn sorry for the late response. The BioNet I was referring to is currently being developed by Marc Salit's team from MITRE. I don't think there's much about it online as it's still under development, but here they give an email that you can use to ask questions: https://www.mitre.org/events/synbiobeta-conference. From my understanding (I heard about it at a conference and talked with Marc about it), it will go public in around a year.
Thanks @AnnaLew I'll follow what's happing in that space.
@adyork @DavidCarlyn sorry for the late response. The BioNet I was referring to is currently being developed by Marc Salit's team from MITRE. I don't think there's much about it online as it's still under development, but here they give an email that you can use to ask questions: https://www.mitre.org/events/synbiobeta-conference. From my understanding (I heard about it at a conference and talked with Marc about it), it will go public in around a year.
[this is Scott Rifkin] I wasn't able to make the workshop in August, but wanted to follow up. Were there any ideas at the workshop about whether such a matchmaking service would be useful or how it could be implemented?
From Scott Rifkin (UCSD):