HN user
There are some tools in the jupyter ecosystem that are aware of the .ipynb json format & make diffing + version control easier to manage (https://github.com/jupyter/nbdime). Another option is by converting the notebook file to something (.py,.md,.html) that existing git tools are better at working with (https://github.com/mwouts/jupytext, https://github.com/jupyter/nbconvert)
what you are describing is a https://en.wikipedia.org/wiki/Cloudlet which is a machine which sits on the edge and enables spinning up and down of vms for services in an isolated manner
Federal Drug Administration: The current pipeline for getting new drugs approved is fairly corrupt ($ > merit) and extremely ineffective (time taken) that its a major inhibitor for innovation in biotech, medicine, and medical devices. Doing research to figure out how to streamline and automate this process while giving a fair playing field to everyone, make it not cost-prohibitive to get new quality products approved while not compromising effectiveness (filtering out harmful products)