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European Librarians Theatre
2nd December 13.15-14.15
 The Mobile Effect
 Social Media Spotlight
 Libraries Go Digital
30th November 13.15-14.15
1st December 13.15-14.15
Social Media Spotlight:
Debating the case for social media in Europe’s
Libraries. How do we seize the opportunities?
Moderator
Jakob Harnesk
Nordic Sales Manager, EBSCO, UK
Panel
Hervé Basset
Independant Information Professional, France
Stephane Goldstein
Manager, Research Information Network (RIN), UK
 Geoff Walton
Senior Researcher Faculty of Arts Media, Staffordshire University, UK
Ake Nygren
Project Manager, Kista Idea Lab, Stockholm Public Library, Sweden
Tomas Baiget
Head of Information Projects, Catalan Statistical Institute, Spain
European Librarians Theatre
1st December 13.15-14.15
Jakob Harnesk
Nordic Sales Manager, EBSCO, UK
1st December 13.15-14.15
Debating the case for social media in Europe’s
Libraries. How do we seize the opportunities?
Social Media Spotlight
Quality Content • Resource Management • Access • Integration • Consultation
Social Media in libraries
European survey findings
Jakob Harnesk - Nordic Sales Manager
EBSCO information Services
Click to display
Hervé Basset
Independent Information Professional, France
1st December 13.15-14.15
Debating the case for social media in Europe’s
Libraries. How do we seize the opportunities?
Social Media Spotlight
Life Science 2.0: Market & Medias
MEDIAS
• Scientists are ”Leaders of the
Web 2.0 pack”
• Social applications will have a major influence on
the future of research
• 33% of scientists are now using blogs
Science 2.0: a success, really?
 Facts: Basis=10 millions of Scientists WW
 SN: BioMedExperts : 300,000 (less than 1% of FaceBook)
 Blogs: only 20,000 are « Science » (0.01% of blogs WW)
 Twitter: estimation of 600 Scientwists (6 millions)
 What Scientists say:
 when you (…) speak with the majority of scientists, you find
out that they don’t have much interest in using many of
these new technologies » D. Crotty
 Noone actually reads the scientific content on a blog
 The vast majority of scientists are not yet hooked up on
these networks
Why Science 2.O is failing?
 A confused market
 Too much tools for a same purpose: where is the killer
application?
 Are not appropriate to the Science Culture
 Peer-reviewed journals and Congress are still the models
 Scientists do not need web 2.0
 90% are satisfied with their information workflow
 They have more information than they can absorb and
keep up with
 Web 2.0 does not bring qualitative information
 As a result, very low adoption
What about Science Librarians?!
 Which attitude?
« the challenge for libraries is to find ways to
embrace social networks sites and technologies
without killing their potential »
D. Stuart, Research Information, 2010
 New role of the Info Scientist:
The Info consultant
Choose the right train
(where your users are)
Students
Confirmed
scientists
USA Europe
Public
institutions
Companies
Junior
scientists
Stephane Goldstein
Manager, Research Information Network (RIN), UK
1st December 13.15-14.15
Debating the case for social media in Europe’s
Libraries. How do we seize the opportunities?
Social Media Spotlight
Geoff Walton
Senior Researcher Faculty of Arts Media, Staffordshire University, UK
1st December 13.15-14.15
Debating the case for social media in Europe’s
Libraries. How do we seize the opportunities?
Social Media Spotlight
I-ACT
Institute for Applied Creative
Thinking
Staffordshire University
Geoff Walton
Senior Researcher
Social media in higher
education: some
thoughts from
experience
 “conversation proceeded with ‘neither moderators,
nor rules’ it was like ‘a school . . . without a master.’
‘Education is . . . taught without discipline.
Learning (if it be possible) is here insinuated without
method” (Cowan, 2005, p100 quoted by Scoble in
Walton & Pope, p135)
 “find jobs, conduct business, exchange information,
or celebrate important events of their lives”
(Melton, p 226 quoted by Scoble in Walton & Pope,
p136)
 “public space at a time when political action and
debate had begun to spill beyond the institutions
that had traditionally contained them” (p. 241,
Melton, 2001, p241 quoted by Scoble in Walton &
Pope, p136).
 Students who participate in online social network / Social
Media learning (Group A) will demonstrate:
(1) a greater degree of knowledge about e-resources
(2) a greater ability to evaluate information
than those who do not receive this intervention (Group C)
 Post-delivery diagnostic test – 14 multi-choice questions on
the library catalogue, e-journals, referencing and
evaluating web pages (analysed using one way ANOVA
statistical test)
 Test scores between Group A (experimental group) and
Group C (control group) are significantly different at
p < .025, t= 2.66 , Degrees of Freedom (df)= 22
(within groups).
Questioning Analysis
metacognition
Affective state
Style state
Walton, G. & Hepworth, M. (2011, in press). A longitudinal study of
changes in learners’ cognitive states during and following an information
literacy teaching intervention. Journal of Documentation, 67(3), n.p.
 Learning is a social activity
 Engaging in online discourse triggers a
variety of positive cognitive and
behavioural changes
 Social media learning offers real
pedagogical possibilities as long as it is
part of blended approach
 And finally...
 Anyone interested in writing a book on social
media??
 Let me know
 Geoff Walton email: g.l.walton@staffs.ac.uk
Ake Nygren
Project Manager, Kista Idea Lab, Stockholm Public Library, Sweden
1st December 13.15-14.15
Debating the case for social media in Europe’s
Libraries. How do we seize the opportunities?
Social Media Spotlight
Check in there!
– towards a geolocal library
@ #online10
European librarians theatre - Social Media Spotlight
European librarians theatre - Social Media Spotlight
European librarians theatre - Social Media Spotlight
European librarians theatre - Social Media Spotlight
European librarians theatre - Social Media Spotlight
European librarians theatre - Social Media Spotlight
#ssbnu
European librarians theatre - Social Media Spotlight
European librarians theatre - Social Media Spotlight
European librarians theatre - Social Media Spotlight
European librarians theatre - Social Media Spotlight
KistaIdeaLab.se
MobileLifeCentre.org
KistaWorldMusic.com
DigitalArtCenter.se
Tomas Baiget
Head of Information Projects, Catalan Statistical Institute, Spain
1st December 13.15-14.15
Debating the case for social media in Europe’s
Libraries. How do we seize the opportunities?
Social Media Spotlight
Online InformationOnline Information
SeminarsSeminars
European Librarian TheatreEuropean Librarian Theatre
and International Forumsand International Forums
Web 2.0
By Tomàs BaigetTomàs Baiget
Barcelona (Spain)
London, Wednesday, 2010 December 1st
, 13:15-14:15
Before the film, the adverts…Before the film, the adverts…
ThinkEPI yearbooks (2007-)ThinkEPI yearbooks (2007-)
Web 2.0 in SpainWeb 2.0 in Spain
• Scientists don't use very much 2.0Scientists don't use very much 2.0
resources. Social networks are a goodresources. Social networks are a good
complement for people to communicate,complement for people to communicate,
but not for science itself.but not for science itself.
• Use ofUse of SlideShareSlideShare andand TwitterTwitter increasingincreasing
• Heavy use on general topics with ownHeavy use on general topics with own
blogs orblogs or FacebookFacebook by newspapers,by newspapers,
public libraries, associations, etc.public libraries, associations, etc.
Psycho-social laws andPsycho-social laws and
networking informationnetworking information
services:services: Some initialSome initial
research on people 2.0research on people 2.0
behaviourbehaviour
SummarySummary
• More networksMore networks
• 80/20 rule (= exponential or power80/20 rule (= exponential or power
law)law)
• Matthews effectMatthews effect
• Stigmergy, swarm effectStigmergy, swarm effect
• Distributed intelligence and knowledgeDistributed intelligence and knowledge
Each day more networksEach day more networks
• Networks: streets in villages, roads,Networks: streets in villages, roads,
rail, undergroud, bus lines, sea andrail, undergroud, bus lines, sea and
air-lines, power, telephone, freeways,air-lines, power, telephone, freeways,
TV networks, etc.TV networks, etc.
• On the super-network,On the super-network, internetinternet, you, you
can also create multiple sub-can also create multiple sub-
networks: mailing lists, wikis, socialnetworks: mailing lists, wikis, social
networks, etc.networks, etc.
World citizensWorld citizens
• Better and cheaper transport andBetter and cheaper transport and
communications:communications:
- we know better each other- we know better each other
- we care more on standards and- we care more on standards and
serious researchserious research
- more awareness on science- more awareness on science
benefits for the societybenefits for the society
- more interaction- more interaction  rules needrules need
80/20 rule also happens on80/20 rule also happens on
the internetthe internet
1906 - Wilfredo Pareto1906 - Wilfredo Pareto wealthwealth
1926 - Alfred Lotka1926 - Alfred Lotka authorsauthors
1934 - Samuel Bradford1934 - Samuel Bradford articlesarticles
1935 - George Zipf1935 - George Zipf word useword use
1978 - Harold Heaps1978 - Harold Heaps new wordsnew words
2004 - Chris Anderson2004 - Chris Anderson long taillong tail
ExponentialExponential oror power lawpower law
y = a nmx
x
y
Exponential (cont)Exponential (cont)
logarithmic scale
The long tail
(Chris Anderson)
is a exponential decay
80%
20%
Long tailLong tail
Dynamic 80/20 ruleDynamic 80/20 rule
• For the 80/20 rule is met overFor the 80/20 rule is met over
time, the "Matthew effect" must betime, the "Matthew effect" must be
met:met:
""For to all those who have, moreFor to all those who have, more
will be given, and they will have anwill be given, and they will have an
abundance...".abundance...". Matthew 25:29Matthew 25:29
Dynamic 80/20 ruleDynamic 80/20 rule
20102010
20202020
richness
richness
population
population
80%
80%
80%
80%
Two examples of MatthewsTwo examples of Matthews
effecteffect
• John Q. StewartJohn Q. Stewart (1947):(1947):
Demographic gravitationDemographic gravitation
• Dereck De Solla PriceDereck De Solla Price (1976):(1976):
cumulative advantage of the morecumulative advantage of the more
cited articlescited articles
EstigmergyEstigmergy
• Involuntary collaboration betweenInvoluntary collaboration between
individuals, resulting from theirindividuals, resulting from their
actions in a shared environmentactions in a shared environment
• Stimulation of workers by the resultsStimulation of workers by the results
they have achievedthey have achieved
• The stigmergy explains of MatthewThe stigmergy explains of Matthew
effecteffect
estigma = sign
ergos = action
Swarm effectSwarm effect
http://upload.wikimedia.org/wikipedia/commons/4/4d/Heringsschwarm.gifhttp://upload.wikimedia.org/wikipedia/commons/4/4d/Heringsschwarm.gif
http://upload.wikimedia.org/wikipedia/commons/5/59/Synchropredation.gifhttp://upload.wikimedia.org/wikipedia/commons/5/59/Synchropredation.gif
Harengs eating copepodes
Social capitalSocial capital
Ability of a group of people for aAbility of a group of people for a
successful collaboration andsuccessful collaboration and
opportunities generation for jointopportunities generation for joint
projects that bring benefits bothprojects that bring benefits both
individually and collectively.individually and collectively.
It is based on:It is based on:
• - The mutual trust- The mutual trust
• - Effective agreed standards- Effective agreed standards
• - Social networks.- Social networks.
• Monetary capitalMonetary capital
• Physical capital (properties)Physical capital (properties)
• Human capital (education received)Human capital (education received)
• Intellectual capital (studies)Intellectual capital (studies)
• ......
• Social capital (networks andSocial capital (networks and
relationships)relationships)
Social capitalSocial capital (cont)(cont)
• Monetary capitalMonetary capital
• Physical capital (properties)Physical capital (properties)
• Human capital (education received)Human capital (education received)
• Intellectual capital (studies)Intellectual capital (studies)
• ......
• Social capital (networks andSocial capital (networks and
relationships)relationships)
Social capitalSocial capital (cont)(cont)
Distributed intelligenceDistributed intelligence
• "Transactive memory" - who has /"Transactive memory" - who has /
where is the information I need?where is the information I need?
• Each time we know on more topicsEach time we know on more topics
with less depth, but specialize inwith less depth, but specialize in
something very specificsomething very specific
Two forms of distributed intelligence:Two forms of distributed intelligence:
• Animal-level (estigmergy, swarmAnimal-level (estigmergy, swarm
effect)effect)
• Collaborative problem-solvingCollaborative problem-solving
ConclusionsConclusions
• As the world becomes smaller,As the world becomes smaller,
population grows andpopulation grows and
communications improve:communications improve:
- we increase our contacts- we increase our contacts
- people are pushed to become- people are pushed to become
more social and to cooperatemore social and to cooperate
• In the same way as a craftsmanIn the same way as a craftsman
opens a shop in our street to offeropens a shop in our street to offer
his services...his services...
• ...people should open a "shop" on...people should open a "shop" on
the Web where we can offer ourthe Web where we can offer our
skills (paid and/or free).skills (paid and/or free).
• If we want the society to prosper weIf we want the society to prosper we
have a moral duty to contribute withhave a moral duty to contribute with
our experience.our experience.
Thank you!Thank you!
http://eprits.rclis.org

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European librarians theatre - Social Media Spotlight

  • 1. European Librarians Theatre 2nd December 13.15-14.15  The Mobile Effect  Social Media Spotlight  Libraries Go Digital 30th November 13.15-14.15 1st December 13.15-14.15
  • 2. Social Media Spotlight: Debating the case for social media in Europe’s Libraries. How do we seize the opportunities? Moderator Jakob Harnesk Nordic Sales Manager, EBSCO, UK Panel Hervé Basset Independant Information Professional, France Stephane Goldstein Manager, Research Information Network (RIN), UK  Geoff Walton Senior Researcher Faculty of Arts Media, Staffordshire University, UK Ake Nygren Project Manager, Kista Idea Lab, Stockholm Public Library, Sweden Tomas Baiget Head of Information Projects, Catalan Statistical Institute, Spain European Librarians Theatre 1st December 13.15-14.15
  • 3. Jakob Harnesk Nordic Sales Manager, EBSCO, UK 1st December 13.15-14.15 Debating the case for social media in Europe’s Libraries. How do we seize the opportunities? Social Media Spotlight
  • 4. Quality Content • Resource Management • Access • Integration • Consultation Social Media in libraries European survey findings Jakob Harnesk - Nordic Sales Manager EBSCO information Services
  • 6. Hervé Basset Independent Information Professional, France 1st December 13.15-14.15 Debating the case for social media in Europe’s Libraries. How do we seize the opportunities? Social Media Spotlight
  • 7. Life Science 2.0: Market & Medias MEDIAS • Scientists are ”Leaders of the Web 2.0 pack” • Social applications will have a major influence on the future of research • 33% of scientists are now using blogs
  • 8. Science 2.0: a success, really?  Facts: Basis=10 millions of Scientists WW  SN: BioMedExperts : 300,000 (less than 1% of FaceBook)  Blogs: only 20,000 are « Science » (0.01% of blogs WW)  Twitter: estimation of 600 Scientwists (6 millions)  What Scientists say:  when you (…) speak with the majority of scientists, you find out that they don’t have much interest in using many of these new technologies » D. Crotty  Noone actually reads the scientific content on a blog  The vast majority of scientists are not yet hooked up on these networks
  • 9. Why Science 2.O is failing?  A confused market  Too much tools for a same purpose: where is the killer application?  Are not appropriate to the Science Culture  Peer-reviewed journals and Congress are still the models  Scientists do not need web 2.0  90% are satisfied with their information workflow  They have more information than they can absorb and keep up with  Web 2.0 does not bring qualitative information  As a result, very low adoption
  • 10. What about Science Librarians?!  Which attitude? « the challenge for libraries is to find ways to embrace social networks sites and technologies without killing their potential » D. Stuart, Research Information, 2010  New role of the Info Scientist: The Info consultant
  • 11. Choose the right train (where your users are) Students Confirmed scientists USA Europe Public institutions Companies Junior scientists
  • 12. Stephane Goldstein Manager, Research Information Network (RIN), UK 1st December 13.15-14.15 Debating the case for social media in Europe’s Libraries. How do we seize the opportunities? Social Media Spotlight
  • 13. Geoff Walton Senior Researcher Faculty of Arts Media, Staffordshire University, UK 1st December 13.15-14.15 Debating the case for social media in Europe’s Libraries. How do we seize the opportunities? Social Media Spotlight
  • 14. I-ACT Institute for Applied Creative Thinking Staffordshire University Geoff Walton Senior Researcher Social media in higher education: some thoughts from experience
  • 15.  “conversation proceeded with ‘neither moderators, nor rules’ it was like ‘a school . . . without a master.’ ‘Education is . . . taught without discipline. Learning (if it be possible) is here insinuated without method” (Cowan, 2005, p100 quoted by Scoble in Walton & Pope, p135)  “find jobs, conduct business, exchange information, or celebrate important events of their lives” (Melton, p 226 quoted by Scoble in Walton & Pope, p136)  “public space at a time when political action and debate had begun to spill beyond the institutions that had traditionally contained them” (p. 241, Melton, 2001, p241 quoted by Scoble in Walton & Pope, p136).
  • 16.  Students who participate in online social network / Social Media learning (Group A) will demonstrate: (1) a greater degree of knowledge about e-resources (2) a greater ability to evaluate information than those who do not receive this intervention (Group C)  Post-delivery diagnostic test – 14 multi-choice questions on the library catalogue, e-journals, referencing and evaluating web pages (analysed using one way ANOVA statistical test)  Test scores between Group A (experimental group) and Group C (control group) are significantly different at p < .025, t= 2.66 , Degrees of Freedom (df)= 22 (within groups).
  • 18. Walton, G. & Hepworth, M. (2011, in press). A longitudinal study of changes in learners’ cognitive states during and following an information literacy teaching intervention. Journal of Documentation, 67(3), n.p.
  • 19.  Learning is a social activity  Engaging in online discourse triggers a variety of positive cognitive and behavioural changes  Social media learning offers real pedagogical possibilities as long as it is part of blended approach  And finally...  Anyone interested in writing a book on social media??  Let me know  Geoff Walton email: g.l.walton@staffs.ac.uk
  • 20. Ake Nygren Project Manager, Kista Idea Lab, Stockholm Public Library, Sweden 1st December 13.15-14.15 Debating the case for social media in Europe’s Libraries. How do we seize the opportunities? Social Media Spotlight
  • 21. Check in there! – towards a geolocal library @ #online10
  • 34. Tomas Baiget Head of Information Projects, Catalan Statistical Institute, Spain 1st December 13.15-14.15 Debating the case for social media in Europe’s Libraries. How do we seize the opportunities? Social Media Spotlight
  • 35. Online InformationOnline Information SeminarsSeminars European Librarian TheatreEuropean Librarian Theatre and International Forumsand International Forums Web 2.0 By Tomàs BaigetTomàs Baiget Barcelona (Spain) London, Wednesday, 2010 December 1st , 13:15-14:15
  • 36. Before the film, the adverts…Before the film, the adverts…
  • 38. Web 2.0 in SpainWeb 2.0 in Spain • Scientists don't use very much 2.0Scientists don't use very much 2.0 resources. Social networks are a goodresources. Social networks are a good complement for people to communicate,complement for people to communicate, but not for science itself.but not for science itself. • Use ofUse of SlideShareSlideShare andand TwitterTwitter increasingincreasing • Heavy use on general topics with ownHeavy use on general topics with own blogs orblogs or FacebookFacebook by newspapers,by newspapers, public libraries, associations, etc.public libraries, associations, etc.
  • 39. Psycho-social laws andPsycho-social laws and networking informationnetworking information services:services: Some initialSome initial research on people 2.0research on people 2.0 behaviourbehaviour
  • 40. SummarySummary • More networksMore networks • 80/20 rule (= exponential or power80/20 rule (= exponential or power law)law) • Matthews effectMatthews effect • Stigmergy, swarm effectStigmergy, swarm effect • Distributed intelligence and knowledgeDistributed intelligence and knowledge
  • 41. Each day more networksEach day more networks • Networks: streets in villages, roads,Networks: streets in villages, roads, rail, undergroud, bus lines, sea andrail, undergroud, bus lines, sea and air-lines, power, telephone, freeways,air-lines, power, telephone, freeways, TV networks, etc.TV networks, etc. • On the super-network,On the super-network, internetinternet, you, you can also create multiple sub-can also create multiple sub- networks: mailing lists, wikis, socialnetworks: mailing lists, wikis, social networks, etc.networks, etc.
  • 42. World citizensWorld citizens • Better and cheaper transport andBetter and cheaper transport and communications:communications: - we know better each other- we know better each other - we care more on standards and- we care more on standards and serious researchserious research - more awareness on science- more awareness on science benefits for the societybenefits for the society - more interaction- more interaction  rules needrules need
  • 43. 80/20 rule also happens on80/20 rule also happens on the internetthe internet 1906 - Wilfredo Pareto1906 - Wilfredo Pareto wealthwealth 1926 - Alfred Lotka1926 - Alfred Lotka authorsauthors 1934 - Samuel Bradford1934 - Samuel Bradford articlesarticles 1935 - George Zipf1935 - George Zipf word useword use 1978 - Harold Heaps1978 - Harold Heaps new wordsnew words 2004 - Chris Anderson2004 - Chris Anderson long taillong tail
  • 44. ExponentialExponential oror power lawpower law y = a nmx x y
  • 46. The long tail (Chris Anderson) is a exponential decay 80% 20% Long tailLong tail
  • 47. Dynamic 80/20 ruleDynamic 80/20 rule • For the 80/20 rule is met overFor the 80/20 rule is met over time, the "Matthew effect" must betime, the "Matthew effect" must be met:met: ""For to all those who have, moreFor to all those who have, more will be given, and they will have anwill be given, and they will have an abundance...".abundance...". Matthew 25:29Matthew 25:29
  • 48. Dynamic 80/20 ruleDynamic 80/20 rule 20102010 20202020 richness richness population population 80% 80% 80% 80%
  • 49. Two examples of MatthewsTwo examples of Matthews effecteffect • John Q. StewartJohn Q. Stewart (1947):(1947): Demographic gravitationDemographic gravitation • Dereck De Solla PriceDereck De Solla Price (1976):(1976): cumulative advantage of the morecumulative advantage of the more cited articlescited articles
  • 50. EstigmergyEstigmergy • Involuntary collaboration betweenInvoluntary collaboration between individuals, resulting from theirindividuals, resulting from their actions in a shared environmentactions in a shared environment • Stimulation of workers by the resultsStimulation of workers by the results they have achievedthey have achieved • The stigmergy explains of MatthewThe stigmergy explains of Matthew effecteffect estigma = sign ergos = action
  • 52. Social capitalSocial capital Ability of a group of people for aAbility of a group of people for a successful collaboration andsuccessful collaboration and opportunities generation for jointopportunities generation for joint projects that bring benefits bothprojects that bring benefits both individually and collectively.individually and collectively. It is based on:It is based on: • - The mutual trust- The mutual trust • - Effective agreed standards- Effective agreed standards • - Social networks.- Social networks.
  • 53. • Monetary capitalMonetary capital • Physical capital (properties)Physical capital (properties) • Human capital (education received)Human capital (education received) • Intellectual capital (studies)Intellectual capital (studies) • ...... • Social capital (networks andSocial capital (networks and relationships)relationships) Social capitalSocial capital (cont)(cont)
  • 54. • Monetary capitalMonetary capital • Physical capital (properties)Physical capital (properties) • Human capital (education received)Human capital (education received) • Intellectual capital (studies)Intellectual capital (studies) • ...... • Social capital (networks andSocial capital (networks and relationships)relationships) Social capitalSocial capital (cont)(cont)
  • 55. Distributed intelligenceDistributed intelligence • "Transactive memory" - who has /"Transactive memory" - who has / where is the information I need?where is the information I need? • Each time we know on more topicsEach time we know on more topics with less depth, but specialize inwith less depth, but specialize in something very specificsomething very specific Two forms of distributed intelligence:Two forms of distributed intelligence: • Animal-level (estigmergy, swarmAnimal-level (estigmergy, swarm effect)effect) • Collaborative problem-solvingCollaborative problem-solving
  • 56. ConclusionsConclusions • As the world becomes smaller,As the world becomes smaller, population grows andpopulation grows and communications improve:communications improve: - we increase our contacts- we increase our contacts - people are pushed to become- people are pushed to become more social and to cooperatemore social and to cooperate
  • 57. • In the same way as a craftsmanIn the same way as a craftsman opens a shop in our street to offeropens a shop in our street to offer his services...his services... • ...people should open a "shop" on...people should open a "shop" on the Web where we can offer ourthe Web where we can offer our skills (paid and/or free).skills (paid and/or free). • If we want the society to prosper weIf we want the society to prosper we have a moral duty to contribute withhave a moral duty to contribute with our experience.our experience.

Notas del editor

  1. Picture of the web 2.0 At a first glance, it appears as a good success
  2. a very small portion of ten millions of working scientists
  3. If I would have a recommandation, if I may give an advise to someone I would say: be careful before to invest time and money in web 2.O tools The first thing to do is to survey your people, to know where your users are Don’t forget that all these services can disappear as faster as they appeared
  4. I