New or better support mechanisms: emerging trends and delivery mechanisms INNOLearning Platform Wars - PowerPoint PPT Presentation

1 / 16
About This Presentation
Title:

New or better support mechanisms: emerging trends and delivery mechanisms INNOLearning Platform Wars

Description:

Evidence from the PRO INNO TC database and complementary evidence ... West Midlands, Calabria, Piedmont and Lombardy regions (IT), Limburg region (NL) ... – PowerPoint PPT presentation

Number of Views:35
Avg rating:3.0/5.0
Slides: 17
Provided by: martel6
Category:

less

Transcript and Presenter's Notes

Title: New or better support mechanisms: emerging trends and delivery mechanisms INNOLearning Platform Wars


1
New or better support mechanisms emerging
trends and delivery mechanismsINNO-Learning
Platform Warsaw 23rd April.2008
Prof. Lena TsipouriThomas LiljemarkFrancesca
GIANNOTTI
University of Athens - Center of Financial Studies
2
Outline
  • The target
  • The methodology (as yet)
  • Basic criteria developed
  • Evidence from the PRO INNO TC database and
    complementary evidence
  • The list of (families of) measures to be
    considered
  • Mechanisms in concrete cases (example of the
    Innovation Vouchers)
  • The way forward..

3
1. The target create aninformed/shared intuition
  • Gather all possible intelligence,
  • which can lead to the creation of an intuition,
  • a good enough knowledge
  • of what is more appropriate and
  • how this operates context-specifically.

4
2. The methodology
  • Review of academic and policy studies to create
    filtering criteria to select measures of
    interest from the database
  • Reviewing measures of top performing countries
    (likely to be good) introduced between 2004-2008
    (likely to respond to new challenges)
  • List of measures to be discussed,
    scrutinised/supported with practically responses
    from policy makers
  • Discussion of the emerging trends

5
2. The methodology some questions
  • What is new?
  • Where is the borderline between new and
    improved?
  • What is new for whom?
  • How do we package?
  • How much do we treat?

6
3. Methodology lay out
Academic studies
The TC database
Policy reviews
The intersection of what complies
with theoretical criteria, tends to become
generally recognised and is new
7
3. Basic criteria developedfrom the academic
literature
  • Criterion 1 Measures leading to synergies in a
    form of clustering or otherwise
  • Criterion 2 Measures address new actors, types
    of innovation, activities
  • Criterion 3 Measures leading to management
    triggering better response from industry

8
3. Criteria and indications of specific
applications a first result from policy studies
9
4. Using the TC database measures
  • Who are the top performing countries
  • What did they do after 2004

10
4. Evidence from the PRO INNO TC database New
measures in the top performing countries
11
4. Evidence from the TC database, top performing
countries Interesting new measures
12
5.The list of (families of) measures to be
considered
  • Innovation Vouchers
  • NL 47 Innovation Vouchers
  • User-driven innovation
  • DK 35 Programme for User-driven innovation,
  • FR 61 Facilitated access of innovative SMEs to
    public procurements in the field of defence,
  • FR 63 SME Pact,
  • NL 49 Valorisation Grants,
  • NL 50 SBIR Pilot,
  • NO 2 User driven Research based Innovation,
  • CH 10 Innovation for Successful Ageing
  • UK 73 Innovation Platforms.
  • New actors, activities, approaches
  • DK 33 Gazelle Growth program,
  • SE 32 National Industrial Sector Programmes
  • FR 65 Mobilising programmes for industrial
    innovation (PMII)
  • FR 66 Gazelles Programme,
  • NL 53 Smart Mix,
  • DE 80 Top Cluster Competition,
  • IT 44 Technological Districts,

13
6. Mechanisms in concrete casesTreating
Innovation Vouchers
  • Schemes in the Netherlands, Ireland, Benelux
    Middle Area (5 regions from the Netherlands and
    Belgium), Hungary, West Midlands, Calabria,
    Piedmont and Lombardy regions (IT), Limburg
    region (NL)
  • Geographical coverage national/regional
  • Allocation mechanism lottery or conditioned to
    approval
  • Size 2,500 to 100,000 (trend is towards
    increasing)
  • Activities funded any knowledge question
    concerning innovation
  • Beneficiaries SMEs, only small enterprises, only
    spin-off and start-up.
  • Knowledge providers public RTOs and HEIs
    sometimes private non- profit research
    organisations or consultancies, sometime
    transnational

14
6. Innovation Vouchers (II)
  • Success factors
  • Not much bureaucracy
  • Almost all enterprises declared to be satisfied
    or very satisfied in evaluated schemes
  • A pre-condition for the innovation voucher to
    work successfully is its customised approach..

15
7. The way forwardthe emerging informed
intuition , (an example)
  • Since the adoption of the innovation voucher is
    very recent, and most schemes have not been
    evaluated yet, it is not possible to assess the
    long-term effects of it. However, there are
    already positive signals about its innovation
    potential. Size should not be too high,
    geographical and activity coverage expected to be
    broad.
  • Demand-led innovation a major trend,
    difficulties of application and risk sharing,
    higher experience with SBIR/STTR, new efforts for
    technology procurement, difficulties for
    intervention for other purposes (catalytic
    procurement)
  • Clusters become bigger, more targeted, more
    precision in the support mechanisms

16
7. The way forward next steps
  • Validate the informed intuition approach
  • Select a set of measures (How Coordination with
    other mini studies? Clients wish list? Other?)
  • More consultation of documents/policy makers
    inputs
  • Final document same methodology, more input,
    concrete treatment of three types of instruments.
Write a Comment
User Comments (0)
About PowerShow.com