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Towards a Fair
(My)Data
Economy
Alexandros Nousias, MyData Greece
Alexandros Nousias, MyData Greece
Deployment PeriodInstallation Period
Maturity
Synergy
Frenzy
Irruption
The techno-economic paradigm (TEP)
Time
Previous Great Surge
© Carlota Perez: The techno-economic paradigm shift
Degree
of diffusion
of the
technological
revolution
TEP is a recurring pattern of cyclical movement: from an initial installation period, through a collapse and recession which signify the
turning point, to a full deployment period.
Next Great Surge
Turning Point
Alexandros Nousias, MyData Greece
Health data analysis
Do we need it?
81% of NHS + private
healthcare sector support the
analysis of anonymized data
Should we analyze?
81%
87% support NHS should
receive a fair share of gains
following medical discoveries
Should benefit NHS?
87%
87% support taxpayers should
also benefit from gains
resulting from any analysis
Should benefit taxpayer?
87%
Alexandros Nousias, MyData Greece
Health data analysis
Who should do it, and for whom?
Multinationals?
12% would be
comfortable with a
multinational carrying
out the analysis
Confidentiality?
17% believe that the
data will be processed
in a confidential
manner
73%
36%
73% of doctors/nurses would recommend their
patients use data driven technology
Recommend to patients?
36% said their patients made use of existing health
care digital services
Existing patient use?
Alexandros Nousias, MyData Greece
API ecosystem
In the current structureless API economy, if the number of services grow,
then the number of connections between them grow at a faster rate
Government Researchers
Bank
App developers
Grocery/
Retail store
Relatives
Mobility service
Electricity company
Healthcare
Web media
Peer groups
Insurance Employers
No infrastructure
Alexandros Nousias, MyData Greece
Aggregator Model
Aggregating data control is easier, but different aggregators do not have a built-in
incentive to develop interoperability between them
Government
Researchers
Bank
Relatives
Grocery/
Retail store
App developers
Mobility service
Electricity company
Healthcare
Web media
Peer groups
Insurance
Employers
Alexandros Nousias, MyData Greece
Exclusion
Exclusion is the usual
game humans play
Human exclusion
Today it feels like 99% of
humans are excluded from
their own data
Data exclusion
Alexandros Nousias, MyData Greece
Exclusion ---> Inclusion
Exclusion is not inherent. It’s a human invention
Data exclusion creates a
form of apathy against
forces that seem too big to
control
Trust is broken
To rebuild trust we need to
put humans in control of
the data about them
Trust must be rebuilt
Alexandros Nousias, MyData Greece
Privacy vs. Innovation
Building dynamically in one another
the right to be free from
secret surveillance and to
determine whether, when,
how, and to whom, one's
personal or organizational
information is to be
revealed
Privacy
The process of translating
an idea or invention into
a good or service that
creates value or for which
customers will pay
Innovation
Alexandros Nousias, MyData Greece
Trust by Design
MyData. A Nordic Model for human-centered personal data management and processing
Individuals are empowered actors, not
passive targets, in the management of
their personal lives
1. Human centric control and
privacy
It is essential that personal data is
technically easy to access and use – it is
accessible in machine readable open
formats via secure, standardized APIs
2. Usable data
Shared MyData infrastructure enables
decentralized management of personal
data, improves interoperability, makes it
easier for companies to comply with
tightening data protection regulations, and
allows individuals to change service
providers without proprietary data lock-ins
3. Open business environment
Alexandros Nousias, MyData Greece
MyData Model
Compared to the aggregation model, MyData is resilient system
because it is not dependent on a single organization or technical infrastructure
Government
Researchers
Bank
Relatives
Grocery/
Retail store
App developers
Mobility service
Electricity company
Healthcare
Web media
Peer groups
Insurance
Employers
Alexandros Nousias, MyData Greece
MyData Roles
MyData Account Model
A data source collects and processes personal
data which the other roles (including Persons)
may wish to access and use
Data source
A data using service can be authorized to fetch
and use personal data from one or more data
sources
Data using service
A Personal Data Operator enables individuals to
securely access, manage and use their personal data,
as well as to control the flow of personal data with,
and between, data sources and data using services
MyData Operator
An individual that manages the use of their own
personal data, for their own purposes, and maintains
relationships with other individuals, services or
organizations
PersonThe architecture: Interoperable &
standardized MyData accounts.
For individuals: The account model provides
individuals with an easy way to control their
personal data from one place even while the
data is created, stored, and processed by
hundreds of different services.
For developers: The account model facilitates
access to data and removes dependencies
on specific data aggregators.
MyData accounts will generally be provided
by organizations that act as MyData
operators. An individual or organization may
fulfill one or more roles in the architecture.
Data Flow
Consent Flow
Alexandros Nousias, MyData Greece
MyData Example (health)
MyData and Occupational health
Source A:
Purchase
Data
Occupational
Health
Provider
MyData Operator
Data Flow
Consent Flow
Source B:
Public Health Care
Data
Organization
(employer)
Money Flow
Clinical data usually consist of various test
results and diagnosis. Occupational health
care providers change when individuals
change jobs. There is no convenient way to
organize data logistics between different
occupation health care providers.
Furthermore, getting more data about
individuals would significantly help
personalize and optimize health and
wellbeing services and provide alternative
means for diagnosis. The MyData
infrastructure can provide standardized
methods for managing data logistics between
different professional and public health
organizations and sources of behavioral data
in robust ways across organizations.
Alexandros Nousias, MyData Greece
MyData shifts
What needs to change
Formal Rights
In many countries, individuals have enjoyed legal data protection for
decades, yet their rights have remained mostly formal: little known, hard
to enforce, and often obscured by corporate practices.
Actionable Rights
We want true transparency and truly informed consent to become the new
normal for when people and organizations interact . We intend access and
redress, portability, and the right to be forgotten, to become “one-click
rights”: rights that are as simple and efficient to use as today’s and
tomorrow’s best online services.
Data Protection
Data protection regulation and corporate ethics codes are designed to
protect people from abuse and misuse of their personal data by
organizations.
Data Empowerment
We intend to change common practices towards a situation where
individuals are both protected and empowered to use the data that
organizations hold about them. Examples of such uses include simplifying
administrative paperwork, processing data from multiple sources to improve
one’s self-knowledge, personalized AI assistants, decision-making, and data
sharing under the individual’s own terms
Closed Ecosystems
Today’s data economy creates network effects favoring a few platforms
able to collect and process the largest masses of personal data. These
platforms are locking up markets, not just for their competitors, but also
for most businesses who risk losing direct access to their customers.
Open Ecosystems
By letting individuals control what happens to their data, we intend to create
a truly free flow of data – freely decided by individuals, free from global
choke points - and to create balance, fairness, diversity and competition in
the digital economy.
Alexandros Nousias, MyData Greece
A glance to the future of design
MyData. A Nordic Model for human-centered personal data management and processing
Less use of
personal data
Old paper times
Weak Data Protection
Lot’s of data
usage
Strong Data Protection
Complying with regulation
Organizations decide
how data is used
People decide
how data is used
Alexandros Nousias, MyData Greece
Positioning: Amara's law
We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run
Visibility
Time
Peak of Inflated Expectations
Technology Trigger
Trough of Disillusionment
Slope of Enlightenment
Plateau of Productivity
Alexandros Nousias, MyData Greece
MyData in Amara’s Law
It takes a lot of time to apply knowledge in a productive way, beyond the initial hype
Visibility
Time
Applied Knowledge
Hype
Alexandros Nousias, MyData Greece
Deployment PeriodInstallation Period
Maturity
Synergy
Frenzy
Irruption
Turning Point
Peak of Inflated Expectations
Technology Trigger
Trough of Disillusionment
Slope of Enlightenment
Plateau of Productivity
TEP and Amara’s law
Time
Degree
of diffusion
of the
technological
revolution
The recurring pattern of cyclical movement described by TEP and Amara's law, describing how we overestimate the effect of a technology
in the short run and underestimate the effect in the long run.
Visibility
Alexandros Nousias, MyData Greece
Big opportunities for business Trust is required!
Final thoughts
From sick care to preventive health care by individual involvement
Data guardians
• People
• Parties
• Operators
Create a “data civilization” to grasp the opportunities and transcend society/individual
disciplines
Alexandros Nousias, MyData Greece
Digital Health Ecosystem
open – ethical – trustworthy
IPR
Privacy
GDPR
Public Interest
Innovation
Market
Ethics
Thank You
Alexandros Nousias
Alexandros Nousias
NCSR-Demokritos
MyData Greece
@alexnousias
https://www.linkedin.com/in/alexandrosnoussias/
alexandros.nousias@gmail.com

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Towards a fair (My)Data economy

  • 2. Alexandros Nousias, MyData Greece Deployment PeriodInstallation Period Maturity Synergy Frenzy Irruption The techno-economic paradigm (TEP) Time Previous Great Surge © Carlota Perez: The techno-economic paradigm shift Degree of diffusion of the technological revolution TEP is a recurring pattern of cyclical movement: from an initial installation period, through a collapse and recession which signify the turning point, to a full deployment period. Next Great Surge Turning Point
  • 3. Alexandros Nousias, MyData Greece Health data analysis Do we need it? 81% of NHS + private healthcare sector support the analysis of anonymized data Should we analyze? 81% 87% support NHS should receive a fair share of gains following medical discoveries Should benefit NHS? 87% 87% support taxpayers should also benefit from gains resulting from any analysis Should benefit taxpayer? 87%
  • 4. Alexandros Nousias, MyData Greece Health data analysis Who should do it, and for whom? Multinationals? 12% would be comfortable with a multinational carrying out the analysis Confidentiality? 17% believe that the data will be processed in a confidential manner 73% 36% 73% of doctors/nurses would recommend their patients use data driven technology Recommend to patients? 36% said their patients made use of existing health care digital services Existing patient use?
  • 5. Alexandros Nousias, MyData Greece API ecosystem In the current structureless API economy, if the number of services grow, then the number of connections between them grow at a faster rate Government Researchers Bank App developers Grocery/ Retail store Relatives Mobility service Electricity company Healthcare Web media Peer groups Insurance Employers No infrastructure
  • 6. Alexandros Nousias, MyData Greece Aggregator Model Aggregating data control is easier, but different aggregators do not have a built-in incentive to develop interoperability between them Government Researchers Bank Relatives Grocery/ Retail store App developers Mobility service Electricity company Healthcare Web media Peer groups Insurance Employers
  • 7. Alexandros Nousias, MyData Greece Exclusion Exclusion is the usual game humans play Human exclusion Today it feels like 99% of humans are excluded from their own data Data exclusion
  • 8. Alexandros Nousias, MyData Greece Exclusion ---> Inclusion Exclusion is not inherent. It’s a human invention Data exclusion creates a form of apathy against forces that seem too big to control Trust is broken To rebuild trust we need to put humans in control of the data about them Trust must be rebuilt
  • 9. Alexandros Nousias, MyData Greece Privacy vs. Innovation Building dynamically in one another the right to be free from secret surveillance and to determine whether, when, how, and to whom, one's personal or organizational information is to be revealed Privacy The process of translating an idea or invention into a good or service that creates value or for which customers will pay Innovation
  • 10. Alexandros Nousias, MyData Greece Trust by Design MyData. A Nordic Model for human-centered personal data management and processing Individuals are empowered actors, not passive targets, in the management of their personal lives 1. Human centric control and privacy It is essential that personal data is technically easy to access and use – it is accessible in machine readable open formats via secure, standardized APIs 2. Usable data Shared MyData infrastructure enables decentralized management of personal data, improves interoperability, makes it easier for companies to comply with tightening data protection regulations, and allows individuals to change service providers without proprietary data lock-ins 3. Open business environment
  • 11. Alexandros Nousias, MyData Greece MyData Model Compared to the aggregation model, MyData is resilient system because it is not dependent on a single organization or technical infrastructure Government Researchers Bank Relatives Grocery/ Retail store App developers Mobility service Electricity company Healthcare Web media Peer groups Insurance Employers
  • 12. Alexandros Nousias, MyData Greece MyData Roles MyData Account Model A data source collects and processes personal data which the other roles (including Persons) may wish to access and use Data source A data using service can be authorized to fetch and use personal data from one or more data sources Data using service A Personal Data Operator enables individuals to securely access, manage and use their personal data, as well as to control the flow of personal data with, and between, data sources and data using services MyData Operator An individual that manages the use of their own personal data, for their own purposes, and maintains relationships with other individuals, services or organizations PersonThe architecture: Interoperable & standardized MyData accounts. For individuals: The account model provides individuals with an easy way to control their personal data from one place even while the data is created, stored, and processed by hundreds of different services. For developers: The account model facilitates access to data and removes dependencies on specific data aggregators. MyData accounts will generally be provided by organizations that act as MyData operators. An individual or organization may fulfill one or more roles in the architecture. Data Flow Consent Flow
  • 13. Alexandros Nousias, MyData Greece MyData Example (health) MyData and Occupational health Source A: Purchase Data Occupational Health Provider MyData Operator Data Flow Consent Flow Source B: Public Health Care Data Organization (employer) Money Flow Clinical data usually consist of various test results and diagnosis. Occupational health care providers change when individuals change jobs. There is no convenient way to organize data logistics between different occupation health care providers. Furthermore, getting more data about individuals would significantly help personalize and optimize health and wellbeing services and provide alternative means for diagnosis. The MyData infrastructure can provide standardized methods for managing data logistics between different professional and public health organizations and sources of behavioral data in robust ways across organizations.
  • 14. Alexandros Nousias, MyData Greece MyData shifts What needs to change Formal Rights In many countries, individuals have enjoyed legal data protection for decades, yet their rights have remained mostly formal: little known, hard to enforce, and often obscured by corporate practices. Actionable Rights We want true transparency and truly informed consent to become the new normal for when people and organizations interact . We intend access and redress, portability, and the right to be forgotten, to become “one-click rights”: rights that are as simple and efficient to use as today’s and tomorrow’s best online services. Data Protection Data protection regulation and corporate ethics codes are designed to protect people from abuse and misuse of their personal data by organizations. Data Empowerment We intend to change common practices towards a situation where individuals are both protected and empowered to use the data that organizations hold about them. Examples of such uses include simplifying administrative paperwork, processing data from multiple sources to improve one’s self-knowledge, personalized AI assistants, decision-making, and data sharing under the individual’s own terms Closed Ecosystems Today’s data economy creates network effects favoring a few platforms able to collect and process the largest masses of personal data. These platforms are locking up markets, not just for their competitors, but also for most businesses who risk losing direct access to their customers. Open Ecosystems By letting individuals control what happens to their data, we intend to create a truly free flow of data – freely decided by individuals, free from global choke points - and to create balance, fairness, diversity and competition in the digital economy.
  • 15. Alexandros Nousias, MyData Greece A glance to the future of design MyData. A Nordic Model for human-centered personal data management and processing Less use of personal data Old paper times Weak Data Protection Lot’s of data usage Strong Data Protection Complying with regulation Organizations decide how data is used People decide how data is used
  • 16. Alexandros Nousias, MyData Greece Positioning: Amara's law We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run Visibility Time Peak of Inflated Expectations Technology Trigger Trough of Disillusionment Slope of Enlightenment Plateau of Productivity
  • 17. Alexandros Nousias, MyData Greece MyData in Amara’s Law It takes a lot of time to apply knowledge in a productive way, beyond the initial hype Visibility Time Applied Knowledge Hype
  • 18. Alexandros Nousias, MyData Greece Deployment PeriodInstallation Period Maturity Synergy Frenzy Irruption Turning Point Peak of Inflated Expectations Technology Trigger Trough of Disillusionment Slope of Enlightenment Plateau of Productivity TEP and Amara’s law Time Degree of diffusion of the technological revolution The recurring pattern of cyclical movement described by TEP and Amara's law, describing how we overestimate the effect of a technology in the short run and underestimate the effect in the long run. Visibility
  • 19. Alexandros Nousias, MyData Greece Big opportunities for business Trust is required! Final thoughts From sick care to preventive health care by individual involvement Data guardians • People • Parties • Operators Create a “data civilization” to grasp the opportunities and transcend society/individual disciplines
  • 20. Alexandros Nousias, MyData Greece Digital Health Ecosystem open – ethical – trustworthy IPR Privacy GDPR Public Interest Innovation Market Ethics