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Visualizing an Open Innovation
Platform: The structure and
dynamics of Demola
Huhtamäki, Luotonen, Kairamo, Still, Russell
TUT // New Factory // VTT // Stanford
AcademicMindTrek 2013:
"Making Sense of Converging Media”
In this presentation
• Case context description: what is Demola?
• Challenges in measuring Demola& open
innovation
• Use case examples
• Method: data-driven network animation
• Results
• Discussion
• Critique
• Wrap up and future work
What is Demola?
• Open innovation platform & ecosystem
engager established in 2008 in Tampere
• By 2013, 86 companies and 1200 students
from 3 universities have participated in
250+ projects
• The Demola network is expanding
internationally
• This study focuses in Demola Tampere
Open innovation platform & ecosystem engager
established in 2008 in Tampere
By 2013, 86 companies and 1200 students from 3
universities have participated in 250+ projects
The Demola network is expanding internationally;
this study focuses in Demola Tampere
Challenges in measuring Demola
…and open innovation in general:
• Tradition: A linear view on innovation;
• Measuring inputs (money) and outputs
(patents, products, new companies);
• Survey-based methods, aggregate
measures
How does one measure the performance
of an ecosystem engager?
Still, K., Huhtamäki, J., Russell, M. & Rubens, N.
2012. Paradigm shift in innovation indicators—from
analog to digital. Proceedings of the 5th ISPIM
Innovation Forum, 9-12 December, Seoul, Korea.
Use case examples
Who wants to
measure?
Why do they want to measure? What will the do with the
measurement insights?
Policy makers Interested in the impact that Demola
has had to the surrounding ecosystem
Evaluate the utility of the
platform for future investments
and the applicability of the
approach
Company
representatives
Utility of Demolaengament Decide whether to engage or
not;Select an approach suitable
for their portfolio
Demola operators Activity in general; Companies with
changing (increasing/decreasing)
Demola engagement; Ecosystem
Structure
GeneralDemola introductions,
marketing & sales; Demola key
area development
University students Reviewing opportunities that
participating in a Demola project would
open
Decide whether to participate or
not
University decision-
makers
Impact, new developments in the
ecosystem
Add initiatives for students to
get involved
International actors Impact, engagement, transformation To evaluate the utility of the
process for deciding the
applicability of the approach
Method: data-driven network
analysis (& action research)
(Hansen et al., 2009)
Project Detail Example
Project Id Project 115
Name Koukkuniemi 2020
Started 2010-05-04
Ended 2010-10-31
Status Completed
Collaboration Partner City of Tampere
Type of Partner Public
Project Domain Non-profit
Location Tampere
Key Areas well-being, knowledge
management, regional
studies
Project Team Members uta, uta, tut, tut
Result 1: Project network
Nodes represent
projects and
companies
Company nodes are
light green; other
colors indicate
cluster membership
Node size shows its
betweenness value
Force-driven layout
Result 2: Project domain network
Nodes represent project
domains
Nodes are connected
through domain co-
occurence
Colors show cluster
membership
Node size shows its
betweenness
Result 3: Project sphere animation
Discussion
• Technical challenges exist when using
internally collected data for network
visualization and animation
• Visualization development challenges data-
collection procedures and can add value to
existing data
• Demola operators find value particularly in
the animation of the project sphere;
international collaborators have also
expressed an interest in them
Critique
• Method?
• Results?
• Validation?
• NAV model vs.
visual analytics
Acknowledgements & thank you
Time for your comments and questions.
Jukka Huhtamäki <jukka.huhtamaki @tut.fi>
Ville Luotonen
Ville Kairamo
Kaisa Still
Martha G. Russell
Acknowledgements Ville Ilkkala, Meanfish Ltd,
supported animation development. HeikkiIlvespakka took
care of exporting the data from the Demola platform

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Visualizing an Open Innovation Platform: The structure and dynamics of Demola :: MindTrek 2013

  • 1. Visualizing an Open Innovation Platform: The structure and dynamics of Demola Huhtamäki, Luotonen, Kairamo, Still, Russell TUT // New Factory // VTT // Stanford AcademicMindTrek 2013: "Making Sense of Converging Media”
  • 2. In this presentation • Case context description: what is Demola? • Challenges in measuring Demola& open innovation • Use case examples • Method: data-driven network animation • Results • Discussion • Critique • Wrap up and future work
  • 3. What is Demola? • Open innovation platform & ecosystem engager established in 2008 in Tampere • By 2013, 86 companies and 1200 students from 3 universities have participated in 250+ projects • The Demola network is expanding internationally • This study focuses in Demola Tampere
  • 4. Open innovation platform & ecosystem engager established in 2008 in Tampere By 2013, 86 companies and 1200 students from 3 universities have participated in 250+ projects The Demola network is expanding internationally; this study focuses in Demola Tampere
  • 5. Challenges in measuring Demola …and open innovation in general: • Tradition: A linear view on innovation; • Measuring inputs (money) and outputs (patents, products, new companies); • Survey-based methods, aggregate measures How does one measure the performance of an ecosystem engager? Still, K., Huhtamäki, J., Russell, M. & Rubens, N. 2012. Paradigm shift in innovation indicators—from analog to digital. Proceedings of the 5th ISPIM Innovation Forum, 9-12 December, Seoul, Korea.
  • 6. Use case examples Who wants to measure? Why do they want to measure? What will the do with the measurement insights? Policy makers Interested in the impact that Demola has had to the surrounding ecosystem Evaluate the utility of the platform for future investments and the applicability of the approach Company representatives Utility of Demolaengament Decide whether to engage or not;Select an approach suitable for their portfolio Demola operators Activity in general; Companies with changing (increasing/decreasing) Demola engagement; Ecosystem Structure GeneralDemola introductions, marketing & sales; Demola key area development University students Reviewing opportunities that participating in a Demola project would open Decide whether to participate or not University decision- makers Impact, new developments in the ecosystem Add initiatives for students to get involved International actors Impact, engagement, transformation To evaluate the utility of the process for deciding the applicability of the approach
  • 7. Method: data-driven network analysis (& action research) (Hansen et al., 2009) Project Detail Example Project Id Project 115 Name Koukkuniemi 2020 Started 2010-05-04 Ended 2010-10-31 Status Completed Collaboration Partner City of Tampere Type of Partner Public Project Domain Non-profit Location Tampere Key Areas well-being, knowledge management, regional studies Project Team Members uta, uta, tut, tut
  • 8. Result 1: Project network Nodes represent projects and companies Company nodes are light green; other colors indicate cluster membership Node size shows its betweenness value Force-driven layout
  • 9. Result 2: Project domain network Nodes represent project domains Nodes are connected through domain co- occurence Colors show cluster membership Node size shows its betweenness
  • 10. Result 3: Project sphere animation
  • 11. Discussion • Technical challenges exist when using internally collected data for network visualization and animation • Visualization development challenges data- collection procedures and can add value to existing data • Demola operators find value particularly in the animation of the project sphere; international collaborators have also expressed an interest in them
  • 12. Critique • Method? • Results? • Validation? • NAV model vs. visual analytics
  • 13. Acknowledgements & thank you Time for your comments and questions. Jukka Huhtamäki <jukka.huhtamaki @tut.fi> Ville Luotonen Ville Kairamo Kaisa Still Martha G. Russell Acknowledgements Ville Ilkkala, Meanfish Ltd, supported animation development. HeikkiIlvespakka took care of exporting the data from the Demola platform