We got the opportunity to build on the bioregional lifeboard at CTC22 hackathon on the climate. At CTC21 hackathon we took one bioregion, the watershed of the river Dee in Aberdeenshire and combined mapping and data science. Based on this learning we decided to focus on building the tools to allow anyone to build their own bioregion.

Where to start? Enter a place or for this weekend a river name. The text entered queries wikipedia and brings back a list of rivers. On selecting a river, either a lifeboard and map will be displayed for the river or set up…

At a local hackathon called CodetheCity a proof of concept Bioregion Dashboard was built.

Building on the Peer Stack think out. What is a Peer Learning Experience and how does this compare to the Web User Experience.

The web or websites continue to advance in there capabilities and the tools to make these experiences are also innovating all the time. User V Peer. Server V PeerLink. There are no users in the peer learning experience, only networks of peers (somehow) coordinating their contributions (probably mostly unknowingly) to make a collaborative learning experience.

Lets set the context of aggregating information e.g. a news website say BBC.co.uk A web user experience. That organization has journalist authoring…

With the possibility of sharing data peer to peer nears then the goal of decentralised machine learning comes within reach. This would be an example of a cold network, or a machine to machine connection if the peers select automatic protocol rules. A warm peer to peer network is when two or more peer ‘get to know’ each other to such a degree that the peers share public keys and explicitly engage in data sharing or allow machine learning on their terms. The most basic case that is implement is when the network library is replicated by two peers. An option will be presented to allow for automatic library updates from any peer on the network, this would become a cold connection.

The web stack drives website innovation. Not only that, the web stack has allowed anyone the opportunity to build a website using open source software. Complex sites took hundreds of developers to run the hardware and to process the data to code the user experience. Today, with a LAMP stack and web frameworks means a single developer can do it all. And all at very low cost. The capability and complexity of sites grows everyday.

The Peer Stack. Why do we need a new innovation path for websites when the web stack delivers so much? The foundations of the web…

With the network library operational the next stage was to upgrade the Toolkit and safeFlow — entity component system flows and knowledge bundle ledger. Getting there with that, charts are back, using data from Mii Band 3 wearable via gadgetbridge.org android open source app.

What is the purpose of the healthscience.network? To build a protocol to allow the world to create the best oracle on healthspan and longevity. The video below uses the DIY Healthscience toolkit that allows peers to produce personalised network experiment dashboards and create network experiments that look into the future.

A look at the DIY HealthScience Toolkit with a mixture of real functionality available now and a look ahead to LifestyleWorld Dashboards and Gnatt/Calendar Time lines.

This is a re-post of a healthscience newsletter (all past newsletters )

I was going to re-post a link to the talk I gave at https://www.skillsmatter.com/ on creating a digital immune system for the world back in 2016. Complete with a prototype. Many learnings. 1) I just found out right now that entity went under so the video has gone (maybe to reappear), we promise this will not happen on a https://safenetwork.org/ 2) Many have seen the need to work on creating a digital immune system, technologists to environmentalist etc. but we have failed to deliver. Why is this? From…

NXP a networked-self experiment. Each NXP has a shell where modules can be joined together. What is a module? The network experiment question being asked? The data used (devices, data type, tidy up, categories etc), the computation being used to create results e.g. a daily average to a machine learning model, Controls: does the experiment lend itself to blinding, sampling technique etc?, Scientific review: what methods is used n=1, statistics etc., does the experiment involve an intervention, lifestyle, food, meditation to pharmaceutical drugs or plants? and what visualisation is being presented? Table, chart or simulation. …

DIY HealthScience LAB

HealthScience in the hands and hard drives of the people

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