Interdisciplinary Models: Difference between revisions

1,054 bytes added ,  17:17, 12 November 2022
Random thoughts that we were thinking about during the break
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(Random thoughts that we were thinking about during the break)
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Incentivizing collectivization
Incentivizing collectivization
'''Ellie + Leo thoughts during break -'''
Seems like there is a three fold problem,
- easy to share data/info
- easy to use data/info
- easy to cite data/info
Right now - none of this is free. It takes so much time to actually find all the weight of evidence, and to connect all the data. And also,.. the finantialization model which attempts to make this 'incentivized' at a greater scale seems relatively meh? Unless the returns are pretty big, I feel like I am much more likely to be lazy than to care about a few extra ETH. In addition, just thinking about reputation networks feels like it should/would ened to be more connected to your actual community in which you had established systems of practice.
Infrastructure -> Make an overleaf that automatically brings in citations? How do we sync GPT into this?
What is an equivalent of GPT for data? Where you want to look for specific DATA - you aren't concerned initially with the original questions asked to the pieces of data.
SUPER cool project we should talk about -> DeSci Labs.


'''Identifying key questions:'''
'''Identifying key questions:'''