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Five Myths About Funding Scientific Research (in Austria) ….and what Evaluation can do to make them more ‘Evidence Based’.

Five Myths

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Five Myths. About Funding Scientific Research (in Austria) …. and what Evaluation can do to make them more ‘Evidence Based’. Five Myths. „No Money for the Humanities and Social Sciences in Austria!“ „There is a funding gap between basic research and applied research!“ - PowerPoint PPT Presentation

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Page 1: Five Myths

Five Myths

About Funding Scientific Research (in Austria)

….and what Evaluation can do to make them more ‘Evidence Based’.

Page 2: Five Myths

Five Myths

• „No Money for the Humanities and Social Sciences in Austria!“

• „There is a funding gap between basic research and applied research!“

• „Engeneering is treated unfair!“

• Networks, Fretworks

• Impacts – now!

Page 3: Five Myths

Myth 1:

„No money in the humanities / social sciences“

Page 4: Five Myths

• Humanites get a raw deal… (Der Standard, 31. Mai 2005)

• Social Sciences and Humanities are „starved out“ financially (Austrian Green Party, 13. Mai 2005)

• …marginalisation of the Humanities…“.(M. Nießen, DFG)

Page 5: Five Myths

Mapping the Social Sciences & Humanities in Austria…

• No Evaluation / No Benchmarking Exercise in the field

• Lack of data– Contract research of the ministries?

• No vivid programme scene

• … but looking at further empirical evidence…

Page 6: Five Myths

R&D in the higher education sector, 2002

Source: FTB 2005

136.0582.275,42.982203 >> Humanities

165.7552.718,43.775208 >> Social Sciences

301.8134.993,86.757411Social Sciences & Humanities

70.089847,51.06044Agriculture, Forestry & Veterinary Medicine

333.5166.025,67.284144Medicine (incl. clinics)

173.4932.690,63.502173Technical sciences

387.1934.865,26.469197Natural sciences

  

FTEheadcount

R&D expenditures in 1000 EUR

R&D personnel

number of R&D units 

Page 7: Five Myths

Contract Research, 2003

Source: FTB 2005

  total sum in % bm:bwk bm:vit bm:wa

Natural sciences 11.099.561 19,6 8.794.489 617.055 187.097

Technical sciences 7.472.237 13,2 1.686.947 5.214.199 132.180

Medicine (incl. clinics) 13.264.064 23,5 12.848.845 89.969 -

Agriculture, Forestry & Veterinary Medicine 2.997.521 5,3 464.558 - 10.433

Social Sciences & Humanities 21.698.122 38,4 18.189.699 1.129.160 950.817

>> Social Sciences 14.735.356 26,1 11.226.933 1.129.160 950.817

>> Humanities 6.962.766 12,3 6.962.766 - -

Page 8: Five Myths

FWF-project fundingAcceptance Rates, 1998-2003

Source: Streicher 2004

• Highest Acceptance Rate– Natural Sciences and Humanities: 58%

• Lowest Acceptance Rate– Agriculture and Social Sciences: 35%

• Funding Rates– Quite homogeneous– 70 % Human Medicine– 80% Humanities

Page 9: Five Myths

A „Benchmarking Exercise“

Source: FWF Evaluation, Streicher, Schibany 2004

• Benchmark Project– Natural Sciences, male co-ordinator– Age 40-50, Size 150 – 250 k€– Approval Rate: 52,4%

Variable % Difference in approval rateTechnical Sciences - 8,5Human Medicine -15,1Agriculture, Forestry, VetMed -18,1Social Sciences -19,2Humanities + 4,5(A cautionary remark: It would be wrong to interpret the co-efficents causally)

Page 10: Five Myths

A „Benchmarking Exercise“

Source: Streicher 2004

• Yes, projects of a different scientific flavour face significantly different chances– Against a benchmark project, Social

Sciences are rejected far more frequently– Humanities are (slightly but significantly)

more successful

Page 11: Five Myths

Take into account…

• Classification• Structural Issues

– Age?– Fragmentation of Research Units?– Perspectives for younger researchers?– Researchers = working poor?

• Quality– Kind of Indicators

• ……

Page 12: Five Myths

Heterogeneous average working loads (in % of total working hours)

Source: FTB 2005

 teaching &

training R&D other tasks

Natural sciences 29,5 64,4 6,1

Technical sciences 31,3 61,5 7,2

Medicine (incl. clinics) 16,8 36,7 46,5

>> without clinics 24,7 65,8 9,5

>> clinics 14,0 26,3 59,7

Agriculture, Forestry & Veterinary Medicine 25,6 57,0 17,4

Social Sciences & Humanities 45,0 47,4 7,6

>> Social Sciences 43,8 48,5 7,7

>> Humanities 46,5 46,1 7,4

Page 13: Five Myths

Conclusions

• There is never enough money for doing research– No evidence, that Humanities / Social

Sciencies are treated unfair

• „Not enough money for the humanities / social Sciencies?“– This is an urban legend

Page 14: Five Myths

Challanges for the future:

• Evaluators– Evaluators should be

• Sceptical, • suspicious of everybody

– Triangulation is necessary!– Quantitative Methods are valuable sources of

information

• Stakeholders– Ask the big questions (from time to time), too.– Give the evaluators the degrees of freedom to answer

these questions.

Page 15: Five Myths

Mythos 2:

Funding Gaps between basic and applied sciences

Page 16: Five Myths

„Funding Gap“

Basic Sciences Applied Sciences

Wissenschaftin A

Sciencein A

Wirtschaftin A

Economyin A

Dream Nightmare Reality

Page 17: Five Myths

Risk Aversity & FFF

• Overall [FFF] tends to take too little risk.

• FFF funding practice is risk-averse.

• [The linear model] is a misleading oversimplification that encourages us to make poor policy decisions.

Source: FFF Evaluation, Arnold 2004

Source: FFF Evaluation, Jörg 2004

Source: FFF Evaluation, Arnold 2004

Page 18: Five Myths

FWF Projects: Commercial Output & Usability

41%: results are relevant for industry

30%: important lab results

20%: working prototypes exist

13% research results are suitable for commercialization straight away

Source: FWF Evaluation, Streicher, Schibany 2004

Page 19: Five Myths

Basic Sciences Applied Sciences

BRIDGE: Translational Research & Brückenschlagprogramm

Verkehrstechnologien: ISB & A3

Weltraum: ASAP & ARTIST

Luftfahrt: TAKE OFF

Informationstechnologien: FIT-IT

Nanotechnologie: Nano-Initiative

Kplus

K-Ind / Knet

CDG

18.9

K-Ind ?

7.3 (2003)

8

11.6

3.5

5.9

10.8

5.11 (2004- Translational FWF)

101.51 127.15

~ 70 Millionen €

Page 20: Five Myths

Conclusions

Source: mid term Evaluation FIT-IT, 2005

• There is no funding gap (anymore)

• „Funding gap: No guiding principle for policymakers (anymore)

• Funding Gap: Urban Legend II

Page 21: Five Myths

Challenges for the Future I

• In a NIS, there is the need for Evaluation of Systems (from time to time)

• In a NIS, there is the need for Evaluation of Portfolios (from time to time)

Page 22: Five Myths

Challenges for the future II

• Room for „curiosity driven Evaluation“• Methodological Development

– Evaluation is no pure science, but– It is no consulting business, too.– Of cause, Evaluation must have a sound scientific basis

• Ensure degrees of freedom– Budget!– TORs

• Fight Evaluation Fatigue– Realistic expectations– sufficent time spans

Page 23: Five Myths

Next Steps

Paper, part of the conference….

„New Frontiers in Evaluation“

www.fteval.at/conference06

24./ 25. April 2006

Vienna, Austria

Page 24: Five Myths

Team

Michael Dinges, Joanneum Research

Michaela Glanz, WWTF

Brigitte Tempelmaier, WWTF