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An exiting first year of research & hacking for the
commons !!!!
P2Pvalue Mapping common based peer
production:
Expansion & hybridization
Delimitation &
Typification Criteria
Collaborative production
+
Peer to peer relationships
+
Common resources
+
Open access, reproducibility
& derivativeness
Directory.P2Pvalue.eu
400 cases of 30 diverse areas of
collaboration
From collaborative mapping to urban
commons to data commons
P2Pvalue Research, Research
& More original and frontier research
Statistical analysis
Sample 302 case
Survey to participants
250 answers for 150 cases
Digital ethnography
20 in-deep case studies
Techno legal analysis
Four cases
Decentralized infrastructure
Conditions of “success”
of collaborative production
Governance
Sustainability Value creation
Systems of reward
Larger ever sample
50.000 observations
Community scale
Mission
Social use
Reputation
Monetary value
P2Pvalue Distributed federated infrastructure
technological development
An implementation of Google Drive Real Time API
over a distributed federated infrastructure
Decentralizing
infrastructure of
technology used
by communities
Interview to P2Pvalue
statistical dataset
…
Send your questions to @P2Pvalue
#CAPSSI
Are distributed architectures for decentralised data
management an essential element of such an
ecosystem?
% From more centralized to more decentralized
Data storage
From 88% to 95% store the users’ data in centralized servers
Users possibility to access and modify all data collected about them:
20% of the cases there is not possibility at all to even access personal data
9% allow access but not modify
71% allow their users to access and modify their data
Type of infrastructure architecture:
32,1% Architecture centralized not reproducible (central proprietary server)
Example: Twitter
45,5% architecture centralized but reproducible (FLOSS platforms in a central
server) Example: Wikipedia
2,6% several communities with their own node centralized in one entrance point
3,3% federated
5% peer to peer architecture
Not really!
But
great opportunities
for improvement
Yes! P2Pvalue!
Covers a real need!
How can CAPS solutions scale up?
Web (Barabasi) CBPP/CAPS
Power law Normal distribution
Alexa Traffic Global Rank
Google Page Rank
CBPP/CAPS has a typical range of value creation or “success”.
Which is relatively high!
50% at least 2.800 Twitter followers and 3.000 Facebook likes
10% of the sample could be considered very successful (Rank lower than
3000 in Alexa)
With many
relatively
successful
projects
How to ensure real openness?
CBPP are highly open.
But cases are very diverse in the way or mechanisms that render them open.
Data:
Index of openness to contributors: 50% of the cases rank more than 6 level of openness in a scale up to 10.
Index of openness is not correlated with time.
CBPP are highly free, too.
Data:
Index of freedom of contributots: 77,2% of the cases have at least two of the three indicators of freedom
adopted in the analysis (registration policy, participation policy, and user profile policy).
The more problematic aspect is the lack of rotation of roles
Data:
Only less than 5% of the cases affirm to have a system for frequent rotation of administrators.
… even if “democracy” generally is not related with capacity to generate value
(only in some specific areas more self-goverance favor value creation)
FLOSS, Community networks, Open technology, Collaborative writing, Collaborative research, Citizens media,
and Collaborative archives)
Which emerging paradigms for network-
enabled collective intelligence hold most
promise of success?
There is not “a” single formula”/model of
“success”. There are different features and
models that favor success.
To know more >>> p2pvalue.eu
What is most innovative in digital social innovation,
collaborative economy, makers, etc.?
The grass-roots invention of commons-friendly licenses, that
protect and expand its “philosophy” of production.
Data:
14 different kinds of licenses (Covering Software, Hardware,
Data, Content and more).
Most used license are General Public License (for software) and
Creative Commons BY-SA (for content).
Almost 50% of cases includes a copyleft (or “share alike”)
clause in the license.
Good idea that CAPS call
only fund “free” license projects

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#P2Pvalue at Share and inspire: Infoday on CAPS in Horizon 2020

  • 1. An exiting first year of research & hacking for the commons !!!!
  • 2. P2Pvalue Mapping common based peer production: Expansion & hybridization Delimitation & Typification Criteria Collaborative production + Peer to peer relationships + Common resources + Open access, reproducibility & derivativeness Directory.P2Pvalue.eu 400 cases of 30 diverse areas of collaboration From collaborative mapping to urban commons to data commons
  • 3. P2Pvalue Research, Research & More original and frontier research Statistical analysis Sample 302 case Survey to participants 250 answers for 150 cases Digital ethnography 20 in-deep case studies Techno legal analysis Four cases Decentralized infrastructure Conditions of “success” of collaborative production Governance Sustainability Value creation Systems of reward Larger ever sample 50.000 observations Community scale Mission Social use Reputation Monetary value
  • 4. P2Pvalue Distributed federated infrastructure technological development An implementation of Google Drive Real Time API over a distributed federated infrastructure Decentralizing infrastructure of technology used by communities
  • 5. Interview to P2Pvalue statistical dataset … Send your questions to @P2Pvalue #CAPSSI
  • 6. Are distributed architectures for decentralised data management an essential element of such an ecosystem? % From more centralized to more decentralized Data storage From 88% to 95% store the users’ data in centralized servers Users possibility to access and modify all data collected about them: 20% of the cases there is not possibility at all to even access personal data 9% allow access but not modify 71% allow their users to access and modify their data Type of infrastructure architecture: 32,1% Architecture centralized not reproducible (central proprietary server) Example: Twitter 45,5% architecture centralized but reproducible (FLOSS platforms in a central server) Example: Wikipedia 2,6% several communities with their own node centralized in one entrance point 3,3% federated 5% peer to peer architecture Not really! But great opportunities for improvement Yes! P2Pvalue! Covers a real need!
  • 7. How can CAPS solutions scale up? Web (Barabasi) CBPP/CAPS Power law Normal distribution Alexa Traffic Global Rank Google Page Rank CBPP/CAPS has a typical range of value creation or “success”. Which is relatively high! 50% at least 2.800 Twitter followers and 3.000 Facebook likes 10% of the sample could be considered very successful (Rank lower than 3000 in Alexa) With many relatively successful projects
  • 8. How to ensure real openness? CBPP are highly open. But cases are very diverse in the way or mechanisms that render them open. Data: Index of openness to contributors: 50% of the cases rank more than 6 level of openness in a scale up to 10. Index of openness is not correlated with time. CBPP are highly free, too. Data: Index of freedom of contributots: 77,2% of the cases have at least two of the three indicators of freedom adopted in the analysis (registration policy, participation policy, and user profile policy). The more problematic aspect is the lack of rotation of roles Data: Only less than 5% of the cases affirm to have a system for frequent rotation of administrators. … even if “democracy” generally is not related with capacity to generate value (only in some specific areas more self-goverance favor value creation) FLOSS, Community networks, Open technology, Collaborative writing, Collaborative research, Citizens media, and Collaborative archives)
  • 9. Which emerging paradigms for network- enabled collective intelligence hold most promise of success? There is not “a” single formula”/model of “success”. There are different features and models that favor success. To know more >>> p2pvalue.eu
  • 10. What is most innovative in digital social innovation, collaborative economy, makers, etc.? The grass-roots invention of commons-friendly licenses, that protect and expand its “philosophy” of production. Data: 14 different kinds of licenses (Covering Software, Hardware, Data, Content and more). Most used license are General Public License (for software) and Creative Commons BY-SA (for content). Almost 50% of cases includes a copyleft (or “share alike”) clause in the license. Good idea that CAPS call only fund “free” license projects