Www.uis.unesco.org UIS activities in the collection and analysis of STI indicators and overview of...

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www.uis.unesco.org UIS activities in the collection and analysis of STI indicators and overview of data for West Africa West African Regional Science, Technology and Innovation Policy Reviews and Statistics Workshop Bamako, Mali 10-13 May 2010

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Page 1: Www.uis.unesco.org UIS activities in the collection and analysis of STI indicators and overview of data for West Africa West African Regional Science,

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UIS activities in the collection and analysis of STI indicators and

overview of data for West AfricaWest African Regional Science, Technology and Innovation Policy Reviews and Statistics Workshop

Bamako, Mali 10-13 May 2010

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Objectives of this presentation

Present the work that UIS does to support the collection and analysis of STI indicators in developing countries

Provide an overview of the availability of STI indicators worldwide and in the region

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UIS is the UN lead agency for S&T statistics

Official S&T data source for:

UN Statistical Division: UN Statistical Year Book

UNDP: Human Development Report

World Bank: World Development Indicators

UNESCO Reports:

• UNESCO Science Report

• UNESCO World Report - Towards Knowledge Societies

• International Report on S&T and Gender

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UIS Strategy on S&T statistics

International Review of S&T Statistics and Indicators jointly with UNESCO Science Policy Division, 2002-03, involving all Member States and numerous experts. Resulting priorities:

Immediate term: • R&D personnel & expenditure• Human resources devoted to S&T• Science education & Higher education • International mobility• Gender

Medium term: Innovation data• Starts next month!

Longer term: Output & Impact

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UIS Medium-Term Strategy 2008-2013

Priorities:

1. Improving data quality

2. Reinforcing statistics and indicators on learning outcomes

3. Strengthening statistics in science, culture and communication

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Lines of action

1. S&T survey operation and data guardianship

2. Training in S&T statistics: workshops & other training activities

3. Standard setting and methodological developments

4. Analysis and publications

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1. S&T Survey operation and data guardianship

Global survey on statistics of science & technology

Global database on S&T Statistics

Data dissemination: on the UIS website and through contributions to other agencies

Next year pilot survey of innovation data

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Survey on Statistics of Science & Technology

Biennially.

The 2004, 2006 and 2008 S&T statistics surveys have been completed. 3rd round was launched in June 2008.

The latest results were released on the UIS website in September 2009 (see http://stats.uis.unesco.org).

4th round will be launched in May 2010.

OECD and Eurostat provide data for their Member States. RICYT provides data for Latin America. UIS keeps direct contact with national S&T statisticians.

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Data collection

R&D Personnel

By sector of employment, occupation, qualification, and field of science

In headcount and FTE

By gender

R&D Expenditure

By sector of performance and source of funds

New: by type of activity and field of science

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Other data of interest but not (yet?) collected by UIS

Researchers by age Researchers by country of birth; citizenship/resident status Researchers by fields of science at 2 digit level R&D expenditure by type of cost (Current / Capital) R&D expenditure by major socio-economic objective Government budget appropriations or outlays for R&D

(GBAORD): Total; by major socio-economic objective Business enterprise researchers by industry / branch of

economic activity (at 1 digit level of International Standard Industrial Classification, ISIC)

Business enterprise R&D expenditure by industry / branch of economic activity (at 1 digit level of ISIC)

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UIS 2006 and 2008 Surveys on R&DResponse rates & published data

Regions (Countries and Territories

covered)

Responses Q 2006

Responses Q 2008

Published data

Sub-Saharan Africa (46) 27 59%61%

21 46%44%

27 59%59%

Arab States-Africa (8) 6 75% 3 38% 5 63%

Asia (31, excl. Arab States & OECD) 21 68%65%

21 68%63%

24 77%65%

Arab States - Asia (12) 7 58% 6 50% 4 33%

Americas (19, excl. RICYT & OECD) 4 21% 4 21% 4 21%

Europe (16, excl. OECD & Eurostat) 9 56% 11 69% 10 63%

Oceania (17, excl. OECD) 0 0% 4 24% 3 18%

Sub-total (149) 74 50% 70 47% 77 52%

Data from other sources: 

OECD + Eurostat (43)Total coverage  Total coverage

43 100%

RICYT (23) 19 83%

Total (215) 140 65% 136 63% 139 65%

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Respondents to the UIS 2006 and 2008 questionnaires from ECOWAS countries

Country 2006 Q 2008Q

1 Benin Data not provided Data provided

2 Burkina-Faso Data provided Data provided

3 Cape Verde Data not provided Data not provided

4 Côte d’Ivoire Data provided Data not provided

5 Gambia Data provided Data not provided

6 Ghana Data not provided Data not provided

7 Guinea Data not provided Data not provided

8 Guinea-Bissau Data not provided Data not provided

9 Liberia Data not provided Data not provided

10 Mali Data not provided Data provided

11 Niger Data provided Data not provided

12 Nigeria Data provided Data not provided

13 Senegal Data provided Data provided

14 Sierra-Leone Data not provided Data not provided

15 Togo Data not provided Data provided

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Number of researchers worldwide

Researchers by development status (thousands)

0

500

1000

1500

2000

2500

3000

3500

4000

4500

5000

Developed countries Developing countries(excl. LDC)

Less-developedcountries (LDC)

2002 2007

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What are the national research densities? Researchers per million inhabitants, 2007 or latest available year

0–100 per million

101–300 per million

301–1000 per million

1001–2000 per million

Data not available

2001 per million and above

Note: Data in this map are based on FTE. However, figures in headcounts (HC) were considered for the following countries as the FTE figures were not available: Armenia; Azerbaijan; Bangladesh; Belarus; Benin; Botswana; Cameroon; Central African Rep.; Cuba; D.R. Congo; El Salvador; Gabon; Gambia; Georgia; Guinea; Jordan; Kazakhstan; Kyrgyzstan; Mauritius; Mongolia; Montenegro; Mozambique; Nauru; Nicaragua; Nigeria; Saint Lucia; Saint Vincent and the Grenadines; Saudi Arabia; Sudan; Tajikistan; Macedonia (FYR); Uganda; Venezuela; Zambia. This has to be taken into account when interpreting the data.Source: UIS, September 2009

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The gender gap in science.Women as a share of total researchers, 2007 or latest available year

0%–30%

30.1%–45%

45.1%–55%

55.1%–70%

Data not available

70.1%–100%

Source: UIS, September 2009 Note: Data in this map are based on HC.

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Where are researchers located?Shares of world researchers by principal regions/countries, 2002 and 2007 (%)

35.

7%

31.9

%

28.1

%

25.2

%

23

.2%

14.

0%

20.

3%

11.

2%

10.0

%

8.5%

5.0

%

4.6

%

2.9

%

3.2

%

3.0

%

2.3%

2.3%

2.1

%

1.7

%

1.6

%

1.2

%

1.5

%

0.5%

0.8%

0.6

%

0.7

%

0.5

%

0.4

%

0.4

%

0.2%

41.

4%

28.

4%

25.

8%

22.2

%

20.3

%

20.1

%

18

.9%

10.

0%

7.8

%

6.6

%

6.0%

4.0%

3.6

%

3.0

%

2.5

%

2.3

%

2.2

%

2.1%

1.8%

1.8

%

1.7

%

1.4

%

0.7

%

0.7%

0.6%

0.6%

0.5

%

0.4

%

0.3

%

0.3%

0%

5%

10%

15%

20%

25%

30%

35%

40%

45%

As

ia

Eu

rop

e

Am

eri

ca

s

No

rth

Am

eri

ca

Un

ite

d S

tate

s

Ch

ina

Eu

rop

ea

n U

nio

n

Ja

pan

C.I

.S.

Eu

rop

e

Ru

ssi

an

Fe

d.

N.I

.E.

Asi

a

Ge

rma

ny

L.A

.C.

Fra

nc

e

Un

ite

d K

ing

do

m

Afr

ica

Ind

ia

Oc

ea

nia

C.E

.O.

Eu

rop

e

Oth

er

in A

sia

Bra

zil

Ara

b S

tate

s (A

fric

a)

Me

xic

o

Eg

ypt

Oth

er

Su

b-S

ah

ara

n

C.I

.S. A

sia

Arg

en

tin

a

Isra

el

Ara

b S

tate

s (A

sia

)

So

uth

Afr

ica

2002 2007

Source: UIS, September 2009

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R&D Personnel, selected countries in ECOWAS countries, 2007 or LYA

CountryYear Researchers (FTE)

Researchers per million inhabitants (FTE)

Benin 2007 1,000 (HC) 119 (HC)

Burkina-Faso 2007 187 (HC) 12 (HC)

Cape Verde 2002 60 132

Cote d’Ivoire 2005 1,269 66

Gambia 2005 46 (HC) 30 (HC)

Ghana … … …

Guinea 2000 2,117 (HC) 253 (HC)

Guinea-Bissau … … …

Liberia … … …

Mali 2006 513 42

Niger 2005 101 8

Nigeria 2005 28,533 (HC) 203 (HC)

Senegal 2007 3,277 276

Sierra-Leone … … …

Togo 2007 216 34

Source: UIS S&T Database, March 2009.

FTE: Full-time equivalent - HC: Headcount - * Based on partial data

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A snap-shot of R&D intensity.Gross domestic expenditure on R&D (GERD) as a percentage of GDP, 2007 or latest available year

0.00%–0.25%

0.26%–0.50%

0.51%–1.00%

1.01%–2.00%

Data not available

2.01% and above

Source: UIS, September 2009

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Which regions are most R&D intensive?Gross domestic expenditure on R&D (GERD) as a % of GDP by principal regions/countries, 2007 or latest year available

4.7%

3.4%

2.7%

2.6%

2.6%

2.1%

2.1%

2.1%

1.8%

1.8%

1.8%

1.7%

1.6%

1.6%

1.5%

1.3%

1.1%

1.1%

1.0%

1.0%

0.8%

0.6%

0.5%

0.5%

0.4%

0.4%

0.3%

0.3%

0.2%

0.2%

0.1%

0.0%

0.5%

1.0%

1.5%

2.0%

2.5%

3.0%

3.5%

4.0%

4.5%

5.0%

Isra

el

Ja

pa

n

Un

ite

d S

tate

s

No

rth

Am

eri

ca

Ge

rma

ny

Fra

nc

e

Am

eri

ca

s

Oc

ea

nia

Un

ite

d K

ing

do

m

N.I

.E.

As

ia

Eu

rop

ea

n U

nio

n

Wo

rld

Eu

rop

e

As

ia

Ch

ina

C.E

.O.

Eu

rop

e

Ru

ss

ian

Fe

d.

C.I

.S.

Eu

rop

e

Bra

zil

-1

So

uth

Afr

ica

-1

Ind

ia

L.A

.C.

Arg

en

tin

a

Me

xic

o -

2

Oth

er

in A

sia

Afr

ica

Ara

b S

tate

s (

Afr

ica

)

Oth

er

Su

b-S

ah

ara

n

Eg

yp

t

C.I

.S.

As

ia

Ara

b S

tate

s (

As

ia)

Source: UIS, September 2009 Notes: -1 = 2006, -2 = 2005

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The evolution of R&D intensityGERD as a percentage of GDP, 1996 (or earliest available year) and 2007 (or latest available year), countries with R&D intensity below 1.5% in both years.

Slovenia

Ireland

Ukraine

New Zealand

BelarusCroatia

Italy

Russian Fed.

Slovakia

Moldova

Spain

Montenegro

St. Lucia

Brazil

Romania

Poland

Hungary

India

South Africa

Estonia

Portugal

China

IranChile

Bulgaria

LithuaniaHong Kong, Ch.

Seychelles

Latvia

D.R. Congo

Argentina

Greece

UgandaCuba

Macedonia (FYR)Georgia

Turkey

PanamaBolivia

Mexico

Tunisia

Colombia

Costa RicaMauritius

Kazakhstan

Morocco

Uruguay

Malta

28

27

26

Cyprus

Malaysia

25

24

Kyrgyzstan

232221 20

19

Pakistan

18

Sudan

Thailand

1716

15

14

13

1211

109

8

76

54

32

10.0%

0.5%

1.0%

1.5%

0.0% 0.5% 1.0% 1.5%

Expenditure on R&D as a % of GDP, 1996

Ex

pe

nd

itu

re o

n R

&D

as

a %

of

GD

P, 2

00

7

R&D intensity

up

R&D intensity

down

R&D intensity

stable

Note: countries in the left-bottom corner of the graph are represented by the following numbers. 1: Zambia; 2: Brunei; 3: Bosnia & Herzegovina; 4: Guatemala; 5: Honduras; 6: Lesotho; 7: Jamaica; 8: Myanmar; 9: Saudi Arabia; 10: Indonesia; 11: Macao, Ch.; 12: Peru; 13: Nicaragua; 14: Ecuador; 15 : Paraguay; 16: Tajikistan; 17: Trinidad & Tobago; 18: Philippines; 19: Burkina Faso; 20: Ethiopia; 21: Sri Lanka; 22 :Armenia ; 23: Mongolia; 24: Kuwait; 25: Egypt; 26: Madagascar; 27: Algeria; 28: Azerbaijan.

Source: UIS, September 2009

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GERD by region

GERD in billions PPP$ by regions

0

50

100

150

200

250

300

350

400

450

1990 2002 2007

Americas Europe Africa Asia Oceania

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Where are R&D investments made?Shares of world R&D expenditure (GERD) by principal regions/countries, 2002 and 2007 (%)

40

.4%

37

.8%

27

.1%

35

.1%

30

.3%

26

.1%

13

.7%

5.0

%

5.1

% 7.2

%

4.8

%

3.9

%

2.6

%

2.3

%

1.6

%

2.0

%

1.8

%

1.5

%

1.4

%

0.6

%

0.9

%

0.8

%

0.5

%

0.3

%

0.3

%

0.2

%

0.1

%

0.1

%

0.1

%

0.1

%

37

.6%

34

.7%

32

.7%

32

.4%

27

.3%

22

.9%

13

.0%

9.2

%

6.4

%

6.1

%

3.8

%

3.3

%

2.9

%

2.4

%

2.2

%

2.1

%

1.9

%

1.6

%

1.6

%

0.9

%

0.9

%

0.8

%

0.6

%

0.4

%

0.3

%

0.2

%

0.2

%

0.1

%

0.1

%

0.1

%

0%

5%

10%

15%

20%

25%

30%

35%

40%

45%

Am

eric

as

No

rth

Am

eric

a

Asi

a

Un

ited

Sta

tes

Eu

rop

e

Eu

rop

ean

Un

ion

Jap

an

Ch

ina

N.I.

E. A

sia

Ger

man

y

Fra

nce

Un

ited

Kin

gd

om

L.A

.C.

C.I.

S. E

uro

pe

Ind

ia

Ru

ssia

n F

ed.

C.E

.O. E

uro

pe

Bra

zil

Oce

ania

Oth

er in

Asi

a

Afr

ica

Isra

el

Mex

ico

So

uth

Afr

ica

Ara

b S

tate

s (A

fric

a)

Oth

er S

ub

-Sah

aran

Arg

enti

na

Ara

b S

tate

s (A

sia)

Eg

ypt

C.I.

S. A

sia

2002 2007

Source: UIS, September 2009

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Gross Domestic Expenditure on R&D (GERD), selected countries in ECOWAS countries, 2007 or LYA

Country YearGERD ('000) – Local currency

GERD - PPP$ ('000)

GERD – as % of GDP

Benin … … … …

Burkina-Faso 2007 3,589,972 18,392 0.11%

Cape Verde … … … …

Cote d’Ivoire … … … …

Gambia … … … …

Ghana … … … …

Guinea … … … …

Guinea-Bissau … … … …

Liberia … … … …

Mali … … … …

Niger … … … …

Nigeria … … … …

Senegal 2007 4,090,000 16,252 0.09%

Sierra-Leone … … … …

Togo … … … …

* Based on partial dataSource: UIS S&T Database, March 2009

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Funding in Africa, Asia and the Pacific.GERD by source of funds, 2007 or latest available year

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

So

uth

Afr

ica

-2

Mo

roc

co -

1

Tu

nis

ia -2

Ug

an

da

Bu

rkin

a F

aso

Eth

iop

ia

Mo

zam

biq

ue

-5

Mad

agas

car

Mal

aysi

a -1

Jap

an

Isra

el -

2

Rep

. of K

ore

a

Ch

ina

Ph

ilip

pin

es

-2

Sin

ga

po

re

Ho

ng

Ko

ng

-1

Kaz

akh

sta

n

Th

aila

nd

-2

Kyr

gyz

sta

n -2

Lao

P.D

.R. -

5

Aze

rbai

jan

Ind

ia -3

Sri

La

nk

a -1

Vie

t Nam

-5

Ind

on

esia

-6

Iran

-1

Mo

ng

olia

Ku

wa

it

Taj

ikis

tan

-2

Bru

nei

-3

Pak

ista

n

Arm

enia

Cam

bo

dia

-5

Au

str

alia

-1

New

Ze

alan

d

Business entreprise Government Higher education Private non-profit Abroad Unknown

Source: UIS, September 2009 Notes: -1 = 2006, -2 = 2005, -3 = 2004, -5 = 2002, -6 = 2001

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Funding in Europe.GERD by source of funds, 2007 or latest available year

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Lu

xe

mb

ou

rg -

2

Sw

itze

rla

nd

-3

Fin

lan

d

Ge

rma

ny

-1

Sw

ed

en

-2

Be

lgiu

m -

2

De

nm

ark

-2

Ire

lan

d -

1

Slo

ve

nia

Cze

ch

Re

p.

Fra

nc

e -

1

Ne

the

rla

nd

s -

4

Ice

lan

d

Au

str

ia

Tu

rke

y

Un

ite

d K

ing

do

m

Sp

ain

-1

Ma

lta

No

rwa

y

Be

laru

s

Hu

ng

ary

Es

ton

ia

Ita

ly -

1

La

tvia

Po

rtu

ga

l -2

Slo

va

kia

Cro

ati

a

Po

lan

d

Gre

ec

e -

2

Bu

lga

ria

-1

Uk

rain

e

Ru

ss

ian

Fe

d.

Ro

ma

nia

Lit

hu

an

ia

Cy

pru

s -

1

Ma

ce

do

nia

(F

YR

) -5

Re

p. o

f M

old

ov

a

Business entreprise Government Higher education Private non-profit Abroad Unknown

Source: UIS, September 2009 Notes: -1 = 2006, -2 = 2005, -3 = 2004, -4 = 2003, -5 = 2002

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Funding in the Americas.GERD by source of funds, 2007 or latest available year

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%U

nit

ed S

tate

s

Can

ada

Bra

zil

-1

Mex

ico

-2

Ch

ile

-3

Cu

ba

Uru

gu

ay -

1

Arg

enti

na

Co

lom

bia

-1

Ecu

ado

r

Bo

livi

a -5

El

Sal

vad

or

-9

Pan

ama

-2

Par

agu

ay -

2

Gu

atem

ala

-1

Business entreprise Government Higher education

Private non-profit Abroad Unknown

Source: UIS, September 2009 Notes: -1 = 2006, -2 = 2005, -3 = 2004, -5 = 2002, -9 = 1998.

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A breakdown of R&D investment in Africa, Asia and the Pacific. GERD by sector of performance, 2007 or latest available year

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

So

uth

Afr

ica

-1

Bo

tsw

an

a -

2

Su

da

n -

2

Mo

roc

co

-1

Tu

nis

ia -

2

Za

mb

ia -

2

Ug

an

da

Se

ne

ga

l -2

Ma

da

ga

sc

ar

Bu

rkin

a F

as

o

Eth

iop

ia

Se

yc

he

lles

-2

Ma

lay

sia

-1

Ph

ilip

pin

es

-2

Isra

el

Ho

ng

Ko

ng

-1

Th

aila

nd

-1

Re

p. o

f K

ore

a

Ch

ina

Sin

ga

po

re

Ph

ilip

pin

es

-2

Ho

ng

Ko

ng

-1

Ka

zak

hs

tan

Th

aila

nd

-1

La

o P

.D.R

. -5

Ky

rgy

zsta

n

Aze

rba

ijan

Ind

ia -

3

Sri

La

nk

a -

1

Vie

t N

am

-5

Ira

n -

1

Ca

mb

od

ia -

5

Ind

on

es

ia -

2

Mo

ng

olia

Arm

en

ia

Ta

jikis

tan

-2

Bru

ne

i -3

Pa

kis

tan

Ge

org

ia -

2

Au

str

alia

-1

Ne

w Z

ea

lan

d

Business entreprise Government Higher education Private non-profit Unknown

Source: UIS, September 2009 Notes: -1 = 2006, -2 = 2005, -3 = 2004, -5 = 2002

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A breakdown of R&D investment in Europe.GERD by sector of performance, 2007 or latest available year

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Lu

xe

mb

ou

rg

Sw

ed

en

Sw

itze

rla

nd

-3

Fin

lan

d

Au

str

ia

Ge

rma

ny

Be

lgiu

m

Ire

lan

d

Ma

lta

De

nm

ark

Ru

ss

ian

Fe

d.

Un

ite

d K

ing

do

m

Cze

ch

Re

p.

Fra

nc

e

Be

laru

s

Ne

the

rla

nd

s

Slo

ve

nia

Sp

ain

Uk

rain

e

Ice

lan

d

No

rwa

y

Po

rtu

ga

l

Hu

ng

ary

Ita

ly -

1

Es

ton

ia

Ro

ma

nia

Tu

rke

y

Cro

ati

a

Slo

va

kia

La

tvia

Bu

lga

ria

Po

lan

d

Lit

hu

an

ia

Gre

ec

e

Cy

pru

s

Re

p. o

f M

old

ov

a

Ma

ce

do

nia

(F

YR

) -1

Mo

nte

ne

gro

Se

rbia

Bo

sn

ia &

He

rze

go

vin

a

Business entreprise Government Higher education Private non-profit Unknown

Source: UIS, September 2009 Notes: -1 = 2006, -3 = 2004

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A breakdown of R&D investment in the Americas.GERD by sector of performance, 2007 or latest available year

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%U

nit

ed S

tate

s

Can

ada

Mex

ico

-2

Ch

ile -

3

Bra

zil

Arg

enti

na

Per

u -

3

Uru

gu

ay -

1

Co

sta

Ric

a -3

Tri

nid

ad &

To

bag

o -

1

Bo

livia

-5

Co

lom

bia

-1

Ecu

ado

r

Gu

atem

ala

-1

Par

agu

ay -

2

Pan

ama

-2

Business entreprise Government Higher education

Private non-profit Unknown

Source: UIS, September 2009 Notes: -1 = 2006, -2 = 2005, -3 = 2004, -5 = 2002

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Quality of data

Efficient use of resources

Consistency over time and space

Accessibility and affordability

Validityand reliability

Comparability through

standards

Relevance to policy

Potential for disaggregation

Currency and punctuality

Coherence across sources

Clarity and transparency

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2. Capacity building

There are many problems:

Lack of understanding of importance of S&T (indicators)

Lack of political will and action

Lack of coordination

Lack of trained personnel

High staff turnover

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Capacity building (2)

Measurement problems:

Measuring “real effort” (full-time equivalents)

Private sector R&D

Budget data vs. surveys

Role of foreign entities

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S&T statistics workshops

Increase the number of countries regularly producing quality S&T indicators.

Create local capacities and establish sustainable local S&T statistics systems.

Promote the use of S&T indicators for evidence-based S&T policy making.

Share experiences with other developing countries and address problems.

Gain knowledge about the particular characteristics of S&T statistics data.

Demonstrate good practices in other countries of the region.

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UIS S&T Statistics workshops

2005:Uganda, India

2006:Indonesia, Senegal, Kazakhstan

2007:Tunisia, FYR of Macedonia, Jordan, Brazil, Russia, Cameroon

2008:Oman, Cambodia

2009:Kenya, Egypt

But also contributing to similar workshops of partner organisations (e.g. RICYT, NEPAD)

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Countries that have participated in UNESCO S&T statistics workshops 2005-2009

Countries and territories covered but absent

Countries and territories not yet covered

Countries and territories not targeted

Countries and territories covered

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Results of workshops

Increased response rate – non-responding countries learn how to do it from UIS and neighbours.

Immediate problems solved.

Increased data quality – improved understanding of application of international standards.

Face to face contacts = more effective networking.

Inputs to UIS programme development.

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3. Standard setting/methodological developments

Careers of Doctoral Holders – CDH (since 2004)

Measuring Innovation in Developing countries: Annex to the Oslo Manual (2005)

• Will be presented separately

Measuring R&D in Developing Countries: Technical Guide and Annex to the Frascati Manual (2010)

• Will be presented separately

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The careers of doctorate holders survey (CDH)

A joint project with the OECD and Eurostat.

Methodology developed “from scratch”.

Aimed both at developed and developing countries.

With participation from experts from both developed and developing countries.

Promoting the methodology by encouraging developing countries to conduct such surveys and produce cross-nationally comparable statistics on careers of doctorate holders.

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Relevance of the CDH project

There is a new focus on the crucial role of highly qualified individuals who represent a key to the production, application and transmission of knowledge.

Statistics on the global trends in human resources for Science and Technology (HRST) are very week.

The quality and comparability of international data on migration is particularly weak.

Diversity of data collection methods hinders international comparability, and does not provide information on career paths and mobility patterns.

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Objectives of CDH

Objectives:

To design an internationally comparable tool for tracking the careers of doctorates holders and highly qualified people in different countries.

to collect and exchange information on the career paths of holders of doctorates from existing data sources and the new survey tool.

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CDH toolkit

Components:

Model questionnaire and Instruction Manual

Output tables and variables definitions

Methodological guidelines

Bridge table model questionnaire - output tables

See: http://www.uis.unesco.org/ev.php?URL_ID=5219&URL_DO=DO_TOPIC&URL_SECTION=201

and www.oecd.org/sti/cdh

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CDH modules

Doctoral Education (EDU)

Early Career Research positions (ECR)

Employment situation (EMP)

International mobility (MOB)

Career-related experience (CAR)

Personal characteristics (PER)

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4. Some publications

Data publicly available at: www.uis.unesco.org

UIS Publications (can be downloaded from the UIS website): • S&T Bulletin 1 – Investment in R&D;

• S&T Bulletin 2 – Bibliometric Indicators;

• S&T Bulletin 3 – Women in Science

• Fact sheet: R&D statistics (recently updated)

UNESCO Science Report 2005 (next edition: 2010)

International Report on Science, Technology and Gender 2007

UNESCO World Report

History of Science Statistics at UNESCO

Paper on ‘current status of International Science statistics for Africa’ in African Statistical Journal

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Collaborations / Partnerships

UNESCO HQs

World Bank

Eurostat

AU-NEPAD

ADB

ATPS

ISDB

EU-Medibtikar

IDRC (Canada)

IRD (France)

UNESCO offices worldwide

OECD

RICYT (Latin America)

ALECSO

Arab Academy of Science

ISESCO

Inter-Academy Council

INRS (Quebec, Canada)

ASEAN

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Collaboration with AU/NEPAD

MOU between AU/NEPAD and UIS

Attend each other’s meetings

Separate data collection for now

Closer collaboration over the next few years

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Way forward

There is still a lot to do!

Looking forward to further cooperation.

UIS needs to keep direct contact with statisticians: Quality and relevance.

Countries to establish sustainable S&T statistics systems, involving line ministries (S&T Ministries or Research Councils) and National Statistical Offices.

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Thank you!

http://www.uis.unesco.org

[email protected]