Belgium

Flanders(English)

Vlaanderen(National language)

NUTS Level: NUTS 1 - NUTS CODE/MS:BE2

Statistics

	Area: 13599 km2
	Population: 36.791.81
	GDP at current prices (M EUR): 296131.2
	GDP per capita at current prices (EUR): 44358
	% of National GDP: No information available.
	% of Unemployment: 3.2%
	Regional GERD (%): :

S3 Strategy

Name of strategy	SPEURGIDS 2022 Entreprises Innoveren
Type of strategy	Regional
Languages	FR & NL
Strategy approved	Yes

Download the full document about Flanders

Competent regional or national institution, responsible for the management of S3

Name	Position	Contact
Jolien Roovers	Flemish government - Department of Economy, Science & Innovation (EWI)	jolien.roovers@vlaanderen.be; info.ewi@vlaanderen.be

Thematic platforms and partnership

Industrial Modernisation

Wireless ICT

CLUSSPORT (SPORT & VITALITY)

Smart Regional Investments in Textile Innovation

Photonics

New Nano Enabled Products

Medical Technologies

Hydrogen Valleys S3 Partnership

High Performance Production 3D Printing

Efficient and Sustainable Manufacturing

Bioeconomy

Advanced Materials for Batteries for Electro-mobility and StationaryEnergyStorage

Artificial Intelligence and Human Machine Interface (AI & HMI)

ADMAEnergy

Hydrogen Valleys S3 Partnership

Energy

Marine renewableEnergy

Agri-Food

Smart Sensors forAgri-Food

Ingredients for a Circular Economy (I4CE)

High Tech Farming

Food packaging

Sustainable Blue Economy

Circular Smart Aquaculture

Agri-food

Food for positive health impact

S3CoP activities

No information available.

Ecosystem label

	Aerospace & Defence ➝
	Agri-food ➝
	Construction ➝
	Creative & Cultural Industries ➝
	Digital ➝
	Electronics ➝
	Energy/Renewable Energy ➝
	Energy Intensive Industries ➝

	Healthcare ➝
	Mobility, Transport & Automotive ➝
	Proximity Economy ➝
	Retail ➝
	Social Economy ➝
	Textiles ➝
	Tourism ➝

S3 Priorities and keywords

Descriptive keywords

These keywords, identified using AI and manually verified, highlight the key elements of each strategic priority as reflected in individual strategies.

Semantically Associated Keywords

These keywords, identified and associated through semantic AI algorithms and manually reviewed, support the search function by identifying topics related to each strategic priority. While a priority may not explicitly focus on these keywords, they provide meaningful connections. For exxample, agricultural terms might relate to circular economy priorities, such as biofuels or agricultural waste valorisation. Semantically associated keywords enable users to find regions with similar or related priorities, offering a starting point for deeper exploration of each specific strategy.

Priority	Descriptive keywords	Semantic keywords
N.A	:	undefined

S3 Priorities, NACE and NABS codes

	Economic classification (NACE section & division)	Scientific classification (NABS digit 1 & 2)
N.A	: :	: :

Additional information

Document type	Link
Webpage	Kohesio: Region/Member State
Webpage	Link to ERDF programmes database