1. From Sharing to Collaboration
enhancing collaboration and research impact
Bernhard Hack

2. Overview
• Democratization of knowledge
• New world of work
• Social collaboration software
• Added value of E2.0

3. DEMOCRATIZATION OF
KNOWLEDGE

4. Expert at Work

5. Expert Knowledge

6. Using social media to connect

7. Expert Knowledge & Social Media
• Democratization of knowledge means
disruption through access
• Knowledge sharing, not hoarding
• Gate keepers become obsolete
• Expect resistance, it’s reasonable
• Need pragmatic solutions that actually
help get work done

8. Definition of Social
Collaboration tools enable researchers to
discover and interact with the
content, colleagues and
communities, that can help them get their
jobs done.
Alan Lepo, 3© 2010 - 2013 Constellation Research

9. NEW WORLD OF WORK

10. Technology Trends

11. 80% Proportion of total online users who
interact with social networks regularly
70% Proportion of companies using social
technologies
90% Proportion of companies that report
some business benefit from them
28h Time each week spent by knowledge
workers writing emails, searching for
information, and collaborating
internally

12. Culture of Sharing:
Social Media for Researchers
• Microblogs
• References
• Networking
• Blogs
• Wikis
• Shared Docs

13. Knowledge-Networkers 2.0
Benefits of joining
• Access to latest trends &
discussion
• Find peers working on the
same topic
• Online tutoring and
training opportunities
• Participate in projects and
research cooperation
• Organize work online
Benefits of sharing
• Visibility, be heard and
seen
• Be recognized as an
expert in the field
• Get independent
feedback
• Encourages contributions
from others
• Extend networks on- and
offline

14. Work environment changes
• Push vs Pull
• Distributed teams
• Mixing life and work
• Choices: Bring your own…

15. SOCIAL COLLABORATION
SOFTWARE

16. Social Collaboration Software

17. Uses Cases
• Social Networking
• Social Intranet
• Collaborative Writing
• Team & Project Coordination
• Expertise finding
• Document Management

18. Social Intranet at the GIZ
Company wide use cases
Departments
Projects
Communities
Social layer

19. Personalized Layer & Streams

20. Results
What worked
• Simple navigation
• Mini-sitemaps
• A-Z Quick-links
• Profile integration with
SAP
• Mobile version
• Light version for low
bandwidths
• Won the German prize for
online communication
Remaining challenges
• Info feed not yet true
activity stream
• Performance issues
• Search results still
overwhelming

21. Team Sites at ICARDA
• Teams get bigger, more complex
• Geographically dispersed
• Email back and forth in an attempt to
collaborate
• Hard to find information and people
• Rigid traditional document systems

22. Open Atrium: Group Dashboard

23. Results
What worked
• Great out-of the box
solution
• One group really took off
• Shared maps and GPS
data
• Co-wrote project
proposals
• Shared documents
• Active coordinator
Remaining challenges
• Partial adoption only
• Struggled to customize it
• LDAP integration
• Usability of document
repository & wiki

24. ADDED VALUE OF E2.0

25. Measurable gains

26. Benefits reported by users

27. Pockets of innovation
• Activity streams are valuable data
• Use Social Network Analysis
• Mine the social graph
• Identify untapped pockets of innovation

28. Elements of a Road Map
• Handbook “BPs in research
collaboration“ (Benchmarking)
• Gap analysis: What is vs Best Practices
• Strategy “Enabling online environment
for research collaboration”
• Support COPs
• Capacity Building & Training
• SNA: Identify pockets of innovation

29. Bernhard Hack
bernhard.hack@gmail.com
@benhack
September 2013

30. INNOVATING IN SOCIAL
NETWORKS

31. Innovation processes
• Highly situated and contingent
• Main actors influence outcome
• Network resource mobilization is central
task
• Depend on interaction
• Complexity and uncertainty leads to
learning in interaction with others.

32. Multi-level model of socio-technical transitions

33. Innovators face the same
problems as managers do
• Lack of foresight about how things will
turn out
• Absence of criteria for judging what
parts of the process to monitor
• Little guidance as to what kind of data
will turn out most useful

34. Pockets of innovation
• Activity streams are valuable data
• Study them using SNA
• Mine the social graph
• Identify untapped pockets of innovation