Presentation on theme: "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,"— Presentation transcript:
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 May 2010
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
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
UIS Strategy on S&T statistics International Review of S&T Statistics and Indicators jointly with UNESCO Science Policy Division, , 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
UIS Medium-Term Strategy Priorities: 1.Improving data quality 2.Reinforcing statistics and indicators on learning outcomes 3.Strengthening statistics in science, culture and communication
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
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
Survey on Statistics of Science & Technology Biennially. The 2004, 2006 and 2008 S&T statistics surveys have been completed. 3 rd round was launched in June The latest results were released on the UIS website in September 2009 (see 4 th round will be launched in May OECD and Eurostat provide data for their Member States. RICYT provides data for Latin America. UIS keeps direct contact with national S&T statisticians.
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
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)
UIS 2006 and 2008 Surveys on R&D Response rates & published data Regions (Countries and Territories covered) Responses Q 2006 Responses Q 2008 Published data Sub-Saharan Africa (46) 2759% 61% 2146% 44% 2759% Arab States-Africa (8) 675%338%563% Asia (31, excl. Arab States & OECD ) 2168% 65% 2168% 63% 2477% 65% Arab States - Asia (12) 758%650%433% Americas (19, excl. RICYT & OECD ) 421%4 4 Europe (16, excl. OECD & Eurostat ) 956%1169%1063% Oceania (17, excl. OECD ) 00%424%318% Sub-total (149) 7450%7047%7752% Data from other sources: OECD + Eurostat (43) Total coverage 43100% RICYT (23) 1983% Total (215) 14065%13663%13965%
Respondents to the UIS 2006 and 2008 questionnaires from ECOWAS countries Country2006 Q2008Q 1 BeninData not providedData provided 2 Burkina-FasoData provided 3 Cape VerdeData not provided 4 Côte dIvoireData providedData not provided 5 GambiaData providedData not provided 6 GhanaData not provided 7 GuineaData not provided 8 Guinea-BissauData not provided 9 LiberiaData not provided 10 MaliData not providedData provided 11 NigerData providedData not provided 12 NigeriaData providedData not provided 13 SenegalData provided 14 Sierra-LeoneData not provided 15 TogoData not providedData provided
Number of researchers worldwide
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
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 2009Note: Data in this map are based on HC.
Where are researchers located? Shares of world researchers by principal regions/countries, 2002 and 2007 (%) Source: UIS, September 2009
R&D Personnel, selected countries in ECOWAS countries, 2007 or LYA Country YearResearchers (FTE) Researchers per million inhabitants (FTE) Benin 20071,000 (HC) 119 (HC) Burkina-Faso (HC) 12 (HC) Cape Verde Cote dIvoire 20051,26966 Gambia (HC) 30 (HC) Ghana ……… Guinea 20002,117 (HC) 253 (HC) Guinea-Bissau ……… Liberia ……… Mali Niger Nigeria ,533 (HC) 203 (HC) Senegal 20073, Sierra-Leone ……… Togo Source: UIS S&T Database, March FTE: Full-time equivalent - HC: Headcount - * Based on partial data
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
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 Source: UIS, September 2009Notes: -1 = 2006, -2 = 2005
The evolution of R&D intensity GERD 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. Source: UIS, September 2009
GERD by region
Where are R&D investments made? Shares of world R&D expenditure (GERD) by principal regions/countries, 2002 and 2007 (%) Source: UIS, September 2009
Gross Domestic Expenditure on R&D (GERD), selected countries in ECOWAS countries, 2007 or LYA CountryYear GERD ('000) – Local currency GERD - PPP$ ('000) GERD – as % of GDP Benin ………… Burkina-Faso 20073,589,97218, % Cape Verde ………… Cote dIvoire ………… Gambia ………… Ghana ………… Guinea ………… Guinea-Bissau ………… Liberia ………… Mali ………… Niger ………… Nigeria ………… Senegal 20074,090,00016, % Sierra-Leone ………… Togo………… * Based on partial dataSource: UIS S&T Database, March 2009
Funding in Africa, Asia and the Pacific. GERD by source of funds, 2007 or latest available year Source: UIS, September 2009Notes: -1 = 2006, -2 = 2005, -3 = 2004, -5 = 2002, -6 = 2001
Funding in Europe. GERD by source of funds, 2007 or latest available year Source: UIS, September 2009Notes: -1 = 2006, -2 = 2005, -3 = 2004, -4 = 2003, -5 = 2002
Funding in the Americas. GERD by source of funds, 2007 or latest available year Source: UIS, September 2009Notes: -1 = 2006, -2 = 2005, -3 = 2004, -5 = 2002, -9 = 1998.
A breakdown of R&D investment in Africa, Asia and the Pacific. GERD by sector of performance, 2007 or latest available year Source: UIS, September 2009Notes: -1 = 2006, -2 = 2005, -3 = 2004, -5 = 2002
A breakdown of R&D investment in Europe. GERD by sector of performance, 2007 or latest available year Source: UIS, September 2009Notes: -1 = 2006, -3 = 2004
A breakdown of R&D investment in the Americas. GERD by sector of performance, 2007 or latest available year Source: UIS, September 2009Notes: -1 = 2006, -2 = 2005, -3 = 2004, -5 = 2002
Quality of data Efficient use of resources Consistency over time and space Accessibility and affordability Validity and reliability Comparability through standards Relevance to policy Potential for disaggregation Currency and punctuality Coherence across sources Clarity and transparency
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
Capacity building (2) Measurement problems: Measuring real effort (full-time equivalents) Private sector R&D Budget data vs. surveys Role of foreign entities
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.
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)
Countries that have participated in UNESCO S&T statistics workshops Countries and territories covered but absent Countries and territories not yet covered Countries and territories not targeted Countries and territories covered
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.
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
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.
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.
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.
CDH toolkit Components: Model questionnaire and Instruction Manual Output tables and variables definitions Methodological guidelines Bridge table model questionnaire - output tables See: URL_DO=DO_TOPIC&URL_SECTION=201 and
CDH modules Doctoral Education (EDU) Early Career Research positions (ECR) Employment situation (EMP) International mobility (MOB) Career-related experience (CAR) Personal characteristics (PER)
4. Some publications Data publicly available at: 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
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
Collaboration with AU/NEPAD MOU between AU/NEPAD and UIS Attend each others meetings Separate data collection for now Closer collaboration over the next few years
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.