Quantified Self and transparent software

tools and techniques

by RasmusNOBLACKBOX Cambridge Ltd

Data Insights, Metail, December 4th 2014

Confession

I do not quantify my own self!

.. so title should probably be:

Transparent software and Quantified Self

Quantified Self

London QS (1800+ members)

Adriana Lukas

transparentdata aggregators

Research concepts match:

Self-tracking → self-hacking

Gary Wolf step data!

Wearable tech (unbreakable tech?) (self-TRACKING)

Omron Body Fat MonitorNIKE+

FUELBAND

Maneesh Juneja - Health 2.0 London

Good app (bad app?) (self-TRACKING)

Sleep Cycle App

mySymptoms App Emotion Sense App

Simple tools (self-TRACKING)

Data aggregators (self-HACKING)

sympho.me“Say hello to you”

OpenSource, data agnostic

Commercial, Health

Custom software

Some APIs,not many,nor full access

Data fusing, behind the scenes ..

Major data aggregator selling point:

“Dont worry, we will take care of that ..”

QS: “More transparency, please…”London QS and QS Europe (2014)

“How do I synchronize different streams?”

“Transparency and provenance”

“Flexibility”

“Drag and Drop”

“Loosing autonomy for other gains”

Quantified self profile observed

Behind-the-scenes magic not trusted

Fancyvisualizations not necessarily a plus

NO BLACK BOX

Adding transparency, via ... ….. two-way links ...

DATA MODEL

… created by the user, not a computer!

Demoing

“Machine autonomy is theater”

Jaron Lanier“Who owns the future?”

Thank you ..

Cambridge Quantified Self(show-and-tell, research, and technology for self-trackers and self-hackers)

http://www.meetup.com/Cambridge-Quantified-Self/

Organisation and Planning Meeting

Tomorrow morning 9am @ Hot Numbers

Pssst, new meetup in town: