QS Mapper - freedom from particularity using two-way mappings

presented byRasmus Petersen

rasmus@noblackbox.co.uk, +44 (0) 7450 957 559NOBLACKBOX Cambridge Ltd

www.noblackbox.co.uk

Quantified Self

“... a community of individuals seeking self-improvement through self-measurement” [London QS]

“... a collaboration of users and tool makers who share an interest in self knowledge through self-tracking” [Founders Gary Wolf and Kevin Kline]

QS show and tells

QS hypothesis and experiment

?

Hypertext and QS

“THE KINDS OF FILE structures required … for personal files ... are wholly different in character from those customary in business and scientific data processing.”

“They need to provide the capacity for intricate and idiosyncratic arrangements, total modifiability, undecided alternatives, and thorough internal documentation.”

Ted Nelson

Self-hacking proposalLondon self-hacking working group 1. reclaiming and extracting the individual user’s data

from various sources,2. finding neutral, trusted platforms to hold individual

user’s data, including the option of individual platforms and

3. enhancing the individual user’s ability to analyse the data.

QS Mapper

Approach

A QS data aggregator must ...a) support concepts that leverage trust in the tool output.b) be an open-ended system while ensuring the preservation of context.c) support multiple views of the aggregated data, regardless of data structure.

Features

1) Hypothesis generation2) Experiment design

3) Aggregate QS data4) Explore QS data5) Analyse QS data

Case (mood, steps, diet)

Aggregate

Explore

Analyse

ConclusionSoftware for individuals (small, yet complex, data)

Thank you… and special thanks to my co-authors

Adriana LukasOrganizer at London Quantified SelfLondon, United Kingdomadriana.lukas@gmail.com

Uffe Kock WiilDirector at Patient@home (www.patientathome.dk)and Information & Knowledge Management labOdense, Denmarkukwiil@mmmi.sdu.dk

rasmus@noblackbox.co.uk, +44 (0) 7450 957 559