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Interpersonal data,
identity, and relationships
— in pursuit of collective minds
Philip Sheldrake
engineer, web science
philipsheldrake.com
@sheldrake
AKASHA Foundation
AKASHA.org
!1ssimeetup.org · 1 April 2019 · CC BY-SA 4.0 International (see image credits)
SSIMeetup.org
SSIMeetup objectives
1. Empower global SSI communities
2. Open to everyone interested in SSI
3. All content is shared with CC BY SA
Alex Preukschat @SSIMeetup @AlexPreukschat
Coordinating Node SSIMeetup.org
https://creativecommons.org/licenses/by-sa/4.0/
Coming up …
The AKASHA Foundation
Co-operative + self-organizing
(Inter)personal data
Identity
Beware
Collective minds
!3
AKASHA
A non-profit foundation born at the
intersection of blockchain and collective
intelligence.
We nurture projects helping individuals
unlock their potential through open
systems that expand our collective minds
at local, regional and global scales.
See AKASHA.org.
!4
Co-operation + self-organizing
!5
!6
Life did not take over the globe by
combat, but by networking.
Lynn Margulis, biologist
The ultimate information technology
challenge is the care and maintenance
of a digital infrastructure that can help
us rise up to so-called super wicked
problems, collectively.
Sustainability requires healthy,
distributed networks, with both diversity
and individual agency, to facilitate the
emergence of collective intelligence.
!7
Sheldrake, Global Peter Drucker Forum
Life organizes around identity.
Every living thing acts to develop
and preserve itself. Identity is the
filter that every organism or system
uses to make sense of the world.
New information, new relationships,
changing environments — all are
interpreted through a sense of self.
!8
The 6 circle model
!9
Traditionally, organizing / system
change has been attempted with a
focus “above the green line”.
Research has shown however that
change can only be initiated and
sustained when equal attention is
paid above and below the line.
See Leadership and the New Science, Margaret J. Wheatley.
INFORMATION
(flowing → knowledge)
RELATIONSHIP
(interdepending)
IDENTITY
(narrative)
STRUCTURE
(forms)
PATTERN
(strategies)
PROCESS
(operations)
HUMANEXPERIENCE
!10
The 3 conditions
INFORMATION
(flowing → knowledge)
RELATIONSHIP
(interdepending)
IDENTITY
(narrative) THE SENSE-MAKING CAPACITY
OF THE ORGANIZING
Of the selves that organize and
the “self” that gets organized.
Defined in terms of history,
present decisions and activities,
and sense for the future.
THE MEDIUM OF THE
ORGANIZING
Life uses information to organize
itself, i.e. when a system assigns
meaning to data.THE PATHWAYS OF
ORGANIZING
Required for the creation and
transformation of information,
the expansion of the
organizational identity, and
accumulation of wisdom.
!11
The 3 conditions — reciprocally defining
INFORMATION
(flowing → knowledge)
RELATIONSHIP
(interdepending)
IDENTITY
(narrative)
Identities assemble from who we
know (relationships) and what
we do (personally and socially
material information).
Information is contextual to
individuals in relationships.
Relationships are formed with
information exchange between
identifying individuals in
identifying organizings.
I am not a thing — a noun.
I seem to be a verb, an
evolutionary process – an
integral function of the universe.
Buckminster Fuller
!12
“
”
!13
It is necessary to begin with the event
as a basic concept, and later to arrive at
the object as a continuing structure of
related and ordered events.
David Bohm
“
”
(Inter)personal data
!14
!15
data-as-property
!16
“
”
There might well be a market for
personal data, just like there is,
tragically, a market for live human
organs, but that does not mean that
we can or should give that market
the blessing of legislation. One
cannot monetise and subject a
fundamental right to a simple
commercial transaction, even if it is
the individual concerned by the data
who is a party to the transaction.
The European Data Protection Supervisor, 2017
!17
my data data about me
over which I have agency,
through which I have agency,
with which we become.
!18
data-as-property
data-as-labor
data-as-reputation
data-as-public-good
data-as-me
data-as-data
https://medium.com/radicalxchange/the-interpersonal-data-at-the-heart-of-all-human-digital-systems-including-markets-6316701184a9
Personal data
Any information relating to an identified
or identifiable natural person – one who
can be identified, directly or indirectly, by
reference to a name, an identification
number, location data, or other identifier,
or to factors specific to the physical,
physiological, genetic, mental, economic,
cultural or social identity of that person.
General Data Protection Regulation
!19
!20
And yet we’re social animals.
Unsurprisingly, the vast
majority of personal data is in
fact interpersonal data.
Alice, Coffee
Store Street Espresso, Store Street
Monday, 1 Apr 2019

from 17:30 to 18:00
Bob, Coffee
Store Street Espresso, Store Street
Monday, 1 Apr 2019

from 17:30 to 18:00
!21
PERSONAL DATA INTERPERSONAL DATA
legal natural
data subjects humans +
node-centric edge-centric
control agency
tree-like rhizomatic
facsimile cache
privacy privacy + collective intelligence
!22
Identity
!23
Descartes didn't say
‘I have a birth certificate,
therefore, I am.’
Phil Windley
!25
IDENTIFYING IS …
ACQUIRING
CORRELATING
REASONING
APPLYING
SECURINGJoe Andrieu
!26
NOUN-LIKE RIGIDITY
BASED ON ESSENTIAL PROPERTIES THAT DON’T CHANGE
VERB-LIKE CONTEXTUAL CORRELATING
RE-IDENTIFYING WITH A CERTAIN PROPERTY — DIACHRONICITY
trait
E.G. FINGERPRINT, IRIS, FACE, DNA
government
BIRTH CERTIFICATE, CITIZEN ID, PASSPORT, ETC.
username + profile
CORROBORATED WITH A PASSWORD E.G. FACEBOOK ID
private key
DIGITAL ‘FINGERPRINT’ BUT HARDER TO COPY AND EASIER TO LOSE
physicality
CONTAINED BY ONE'S SKIN
social
YOU’RE NOBODY UNTIL YOU’RE SOMEBODY TO SOMEONE
behavioural
YOU ARE WHAT YOU DO
transcendental
THE ERASURE OF EMBODIMENT
cartesian
PERSISTENT SENSE OF SELFHOOD; COGITO ERGO SUM; NARRATIVE
CONTROLLING? ENABLING?
!27
EVERYONE WORKING ON “DIGITAL
IDENTITY” IS A SOCIOTECHNOLOGIST
SOCIO
TECHNICAL
Beware
!28
!29
BEWARE:
THE OPTIONAL BECOMING THE COMPULSORY
!30
BEWARE:
INCLUDING IS ALSO EXCLUDING
claudo
From Proto-Italic *klaudō, from Proto-Indo-
European *kleh₂u- (“key, hook, nail”). Cognate with
Ancient Greek κλείς (kleís, “bar, bolt, key”), Old
High German sliozan (“to close, conclude, lock”).
!31
BEWARE:
THE CLEAR, SIMPLE, AND WRONG
to be fair, one of these is from Bojan :-)
!32
BEWARE:
SELF-INTEREST BEATS SYSTEM-INTEREST
“Moving reputation from one
system to another helps me.”
Enabling universal reputation
scoring is dystopian.
!33
BEWARE:
WE’RE DESIGNING PATH DEPENDENCIES
!34
BEWARE:
THE FRICTIONLESS
Friction is an important system property.
Failure to re-engineer appropriate frictions
in our sociotechnical system may lead to
very poor social outcomes.
Likely requires a blend of legal and
technical codes.
!35
!36
NOUN-LIKE RIGIDITY
BASED ON ESSENTIAL PROPERTIES THAT CANNOT CHANGE
CONTROLLING?
trait
E.G. FINGERPRINT, IRIS, FACE, DNA
government
BIRTH CERTIFICATE, CITIZEN ID, PASSPORT, ETC.
username + profile
CORROBORATED WITH A PASSWORD E.G. FACEBOOK ID
private key
DIGITAL ‘FINGERPRINT’ BUT HARDER TO COPY AND EASIER TO LOSE
physicality
CONTAINED BY ONE'S SKIN
IF WE GET
THIS WRONG
Collective minds
!37
!38
A mind is not a name for a thing, a
substance, but rather a collection of
cognitive processes, dispositional
states, meaning-making, and
behavioural characteristics. It is not
easily delimited and definitely not
in terms of “what’s in your head”.
AKASHA about us webpage
!39
Gregory Bateson has clearly
shown that what he calls the
‘ecology of ideas’ cannot be
contained within the domain of
the psychology of the individual,
but organizes itself into systems
or ‘minds’, the boundaries of
which no longer coincide with
the participant individuals.
Felix Guattari
“
”
We’re focused on collective
minds to enhance human
agency in co-operation to help
produce a fairer, more peaceful,
more intelligent, sustainable
and regenerative future.
!40
INFORMATION
(flowing → knowledge)
RELATIONSHIP
(interdepending)
IDENTITY
(narrative)
Next … (call to action)
!41
!42
DECENTRALIZED
DATA TRUST
INTERPERSONAL DATA
TECHNICAL ARCHITECTURE
Interpersonal data architecture
• The data surrounds us
• Nesting and interpenetrating
• Privacy-preserving and socially meaningful
• Neither individualistic nor collectivized
• Distributed and disintermediating
• ‘Intelligence’ is invited to the data rather than
requiring the data go to the ‘intelligence’
• About mutual value creation not property rights
• Markets don’t transform personal data so much
as interpersonal data transform markets
• Identity will be contextual, local, verb-like, and
digitally co-emergent with interpersonal data
!43
Decentralized data trust
The Open Data Institute defines
a data trust as “a legal structure
that provides independent
stewardship of data.”
A decentralized data trust entails
a decentralized trust structure
governing for fairness in the
social context the facilities for
decentralized, social sense-
making of interpersonal data.
!44
!45
Thank you.
We chat here:
• https://discordapp.com/invite/JqqKasJ
We blog here:
• https://akasha.org/blog
Slides available at:
• https://ssimeetup.org
• https://akasha.org/blog/2019/04/01/
ssimeetup-webinar
ssimeetup.org · 1 April 2019 · CC BY-SA 4.0 International (see image credits)
Image credits
Painted face, by Sharon McCutcheon
Colourful corridor, copyright Shutterstock
Lichen, by Annie Spratt
The Earth, by NASA
Photo of Time Magazine cover of Buckminster Fuller, by Hilary Mason
Sunflower dance, ink drawing on paper, by Jos van Wunnik
Water, by Imleedh Ali
Woman on bus, by Dan Bøțan
Coffee, by Joshua Ness
boypoolrhizome, slide 21, copyright Mark Ingham, reproduced with permission
René Descartes, via Picryl
Stream, via Free Nature Stock
Intermingling colours, by Daniel Olah
Car tire, by pngimg
Wavering curves, by David Jorre
One of several wolves, slide 38, copyright Marc Ngui, reproduced with permission
Coral, by Sagar
Amazon product co-purchasing network, slide 43, copyright Dr. Christophe
Hurter, reproduced with permission
!46

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SSI Meetup – interpersonal data, identity and collective minds

  • 1. Interpersonal data, identity, and relationships — in pursuit of collective minds Philip Sheldrake engineer, web science philipsheldrake.com @sheldrake AKASHA Foundation AKASHA.org !1ssimeetup.org · 1 April 2019 · CC BY-SA 4.0 International (see image credits)
  • 2. SSIMeetup.org SSIMeetup objectives 1. Empower global SSI communities 2. Open to everyone interested in SSI 3. All content is shared with CC BY SA Alex Preukschat @SSIMeetup @AlexPreukschat Coordinating Node SSIMeetup.org https://creativecommons.org/licenses/by-sa/4.0/
  • 3. Coming up … The AKASHA Foundation Co-operative + self-organizing (Inter)personal data Identity Beware Collective minds !3
  • 4. AKASHA A non-profit foundation born at the intersection of blockchain and collective intelligence. We nurture projects helping individuals unlock their potential through open systems that expand our collective minds at local, regional and global scales. See AKASHA.org. !4
  • 6. !6 Life did not take over the globe by combat, but by networking. Lynn Margulis, biologist
  • 7. The ultimate information technology challenge is the care and maintenance of a digital infrastructure that can help us rise up to so-called super wicked problems, collectively. Sustainability requires healthy, distributed networks, with both diversity and individual agency, to facilitate the emergence of collective intelligence. !7 Sheldrake, Global Peter Drucker Forum
  • 8. Life organizes around identity. Every living thing acts to develop and preserve itself. Identity is the filter that every organism or system uses to make sense of the world. New information, new relationships, changing environments — all are interpreted through a sense of self. !8
  • 9. The 6 circle model !9 Traditionally, organizing / system change has been attempted with a focus “above the green line”. Research has shown however that change can only be initiated and sustained when equal attention is paid above and below the line. See Leadership and the New Science, Margaret J. Wheatley. INFORMATION (flowing → knowledge) RELATIONSHIP (interdepending) IDENTITY (narrative) STRUCTURE (forms) PATTERN (strategies) PROCESS (operations) HUMANEXPERIENCE
  • 10. !10 The 3 conditions INFORMATION (flowing → knowledge) RELATIONSHIP (interdepending) IDENTITY (narrative) THE SENSE-MAKING CAPACITY OF THE ORGANIZING Of the selves that organize and the “self” that gets organized. Defined in terms of history, present decisions and activities, and sense for the future. THE MEDIUM OF THE ORGANIZING Life uses information to organize itself, i.e. when a system assigns meaning to data.THE PATHWAYS OF ORGANIZING Required for the creation and transformation of information, the expansion of the organizational identity, and accumulation of wisdom.
  • 11. !11 The 3 conditions — reciprocally defining INFORMATION (flowing → knowledge) RELATIONSHIP (interdepending) IDENTITY (narrative) Identities assemble from who we know (relationships) and what we do (personally and socially material information). Information is contextual to individuals in relationships. Relationships are formed with information exchange between identifying individuals in identifying organizings.
  • 12. I am not a thing — a noun. I seem to be a verb, an evolutionary process – an integral function of the universe. Buckminster Fuller !12 “ ”
  • 13. !13 It is necessary to begin with the event as a basic concept, and later to arrive at the object as a continuing structure of related and ordered events. David Bohm “ ”
  • 16. !16 “ ” There might well be a market for personal data, just like there is, tragically, a market for live human organs, but that does not mean that we can or should give that market the blessing of legislation. One cannot monetise and subject a fundamental right to a simple commercial transaction, even if it is the individual concerned by the data who is a party to the transaction. The European Data Protection Supervisor, 2017
  • 17. !17 my data data about me over which I have agency, through which I have agency, with which we become.
  • 19. Personal data Any information relating to an identified or identifiable natural person – one who can be identified, directly or indirectly, by reference to a name, an identification number, location data, or other identifier, or to factors specific to the physical, physiological, genetic, mental, economic, cultural or social identity of that person. General Data Protection Regulation !19
  • 20. !20 And yet we’re social animals. Unsurprisingly, the vast majority of personal data is in fact interpersonal data. Alice, Coffee Store Street Espresso, Store Street Monday, 1 Apr 2019 from 17:30 to 18:00 Bob, Coffee Store Street Espresso, Store Street Monday, 1 Apr 2019 from 17:30 to 18:00
  • 21. !21 PERSONAL DATA INTERPERSONAL DATA legal natural data subjects humans + node-centric edge-centric control agency tree-like rhizomatic facsimile cache privacy privacy + collective intelligence
  • 22. !22
  • 24. Descartes didn't say ‘I have a birth certificate, therefore, I am.’ Phil Windley
  • 26. !26 NOUN-LIKE RIGIDITY BASED ON ESSENTIAL PROPERTIES THAT DON’T CHANGE VERB-LIKE CONTEXTUAL CORRELATING RE-IDENTIFYING WITH A CERTAIN PROPERTY — DIACHRONICITY trait E.G. FINGERPRINT, IRIS, FACE, DNA government BIRTH CERTIFICATE, CITIZEN ID, PASSPORT, ETC. username + profile CORROBORATED WITH A PASSWORD E.G. FACEBOOK ID private key DIGITAL ‘FINGERPRINT’ BUT HARDER TO COPY AND EASIER TO LOSE physicality CONTAINED BY ONE'S SKIN social YOU’RE NOBODY UNTIL YOU’RE SOMEBODY TO SOMEONE behavioural YOU ARE WHAT YOU DO transcendental THE ERASURE OF EMBODIMENT cartesian PERSISTENT SENSE OF SELFHOOD; COGITO ERGO SUM; NARRATIVE CONTROLLING? ENABLING?
  • 27. !27 EVERYONE WORKING ON “DIGITAL IDENTITY” IS A SOCIOTECHNOLOGIST SOCIO TECHNICAL
  • 30. !30 BEWARE: INCLUDING IS ALSO EXCLUDING claudo From Proto-Italic *klaudō, from Proto-Indo- European *kleh₂u- (“key, hook, nail”). Cognate with Ancient Greek κλείς (kleís, “bar, bolt, key”), Old High German sliozan (“to close, conclude, lock”).
  • 31. !31 BEWARE: THE CLEAR, SIMPLE, AND WRONG to be fair, one of these is from Bojan :-)
  • 32. !32 BEWARE: SELF-INTEREST BEATS SYSTEM-INTEREST “Moving reputation from one system to another helps me.” Enabling universal reputation scoring is dystopian.
  • 34. !34 BEWARE: THE FRICTIONLESS Friction is an important system property. Failure to re-engineer appropriate frictions in our sociotechnical system may lead to very poor social outcomes. Likely requires a blend of legal and technical codes.
  • 35. !35
  • 36. !36 NOUN-LIKE RIGIDITY BASED ON ESSENTIAL PROPERTIES THAT CANNOT CHANGE CONTROLLING? trait E.G. FINGERPRINT, IRIS, FACE, DNA government BIRTH CERTIFICATE, CITIZEN ID, PASSPORT, ETC. username + profile CORROBORATED WITH A PASSWORD E.G. FACEBOOK ID private key DIGITAL ‘FINGERPRINT’ BUT HARDER TO COPY AND EASIER TO LOSE physicality CONTAINED BY ONE'S SKIN IF WE GET THIS WRONG
  • 38. !38 A mind is not a name for a thing, a substance, but rather a collection of cognitive processes, dispositional states, meaning-making, and behavioural characteristics. It is not easily delimited and definitely not in terms of “what’s in your head”. AKASHA about us webpage
  • 39. !39 Gregory Bateson has clearly shown that what he calls the ‘ecology of ideas’ cannot be contained within the domain of the psychology of the individual, but organizes itself into systems or ‘minds’, the boundaries of which no longer coincide with the participant individuals. Felix Guattari “ ”
  • 40. We’re focused on collective minds to enhance human agency in co-operation to help produce a fairer, more peaceful, more intelligent, sustainable and regenerative future. !40 INFORMATION (flowing → knowledge) RELATIONSHIP (interdepending) IDENTITY (narrative)
  • 41. Next … (call to action) !41
  • 43. Interpersonal data architecture • The data surrounds us • Nesting and interpenetrating • Privacy-preserving and socially meaningful • Neither individualistic nor collectivized • Distributed and disintermediating • ‘Intelligence’ is invited to the data rather than requiring the data go to the ‘intelligence’ • About mutual value creation not property rights • Markets don’t transform personal data so much as interpersonal data transform markets • Identity will be contextual, local, verb-like, and digitally co-emergent with interpersonal data !43
  • 44. Decentralized data trust The Open Data Institute defines a data trust as “a legal structure that provides independent stewardship of data.” A decentralized data trust entails a decentralized trust structure governing for fairness in the social context the facilities for decentralized, social sense- making of interpersonal data. !44
  • 45. !45 Thank you. We chat here: • https://discordapp.com/invite/JqqKasJ We blog here: • https://akasha.org/blog Slides available at: • https://ssimeetup.org • https://akasha.org/blog/2019/04/01/ ssimeetup-webinar ssimeetup.org · 1 April 2019 · CC BY-SA 4.0 International (see image credits)
  • 46. Image credits Painted face, by Sharon McCutcheon Colourful corridor, copyright Shutterstock Lichen, by Annie Spratt The Earth, by NASA Photo of Time Magazine cover of Buckminster Fuller, by Hilary Mason Sunflower dance, ink drawing on paper, by Jos van Wunnik Water, by Imleedh Ali Woman on bus, by Dan Bøțan Coffee, by Joshua Ness boypoolrhizome, slide 21, copyright Mark Ingham, reproduced with permission René Descartes, via Picryl Stream, via Free Nature Stock Intermingling colours, by Daniel Olah Car tire, by pngimg Wavering curves, by David Jorre One of several wolves, slide 38, copyright Marc Ngui, reproduced with permission Coral, by Sagar Amazon product co-purchasing network, slide 43, copyright Dr. Christophe Hurter, reproduced with permission !46