G’day, I’m Jesse Barber and prepare for an haphazard introduction out of social convention.
Professionally, I currently manage an innovation collaboration (Possumworks) with an education in Technology, Communications and Media Production. Next month I will be launching GoHackYourself with the intention of bringing BioHacking products and resources to the Australian Public.
This Blog (A BioCurious Hazard) document my exploration of BioHacking, Quantifying myself and Transhumanism – specifically within an Australian context (with an emphasis on accessibility).
I should iterate here (For myself more than anyone) that I must resist perpetuating a ‘cause’ to spearhead; organic development seems more amenable than becoming overly attached to a single idea and confirmation bias. I would emphasise my use of the word exploration above.
This Blog exists to
- To log and contribute to the Art, Science and Philosophy of Transhumanism, Biohacking & the Quantified Self
- Subsequently, Production of this content will force more concise scrutiny upon reflection
- As a ‘responsibility’ mechanism to contribute to personal focus
The notable thing, is that my motivation for this experimentation seems to be very different to a lot of BioHackers.
In a systems context, reduced to a feedback loop of ‘Input-Output-Data’ most are chasing Output, they seek improvement (or just refinement) of their health and the human condition.
Personally I am fascinated with the Data itself. The motivation behind my Biohacking is the experiment itself, to derive the good or bad. Of course, most BioHacking is in the spirit of self-improvement and naturally, most of mine should (in theory) improve the quality of my life.
However, in the scope of things – I realise my time is limited. Hopefully my data can be of use beyond this meatbag.
As I am my persons are the grounds of this experiment its seems fitting that as much base data can be established as possible. This is where Biohacking and the Quantified self overlap.
Naturally I must note that there are realistically far too many variables currently to be anything more than anecdotal evidence, but hopefully, overtime – as the data contains less variables, it should become less anecdotal and subsequently more useful.