Internet 4all

Description / Objectives

To reduce the digital gap between neighbourhoods and ensure access to new technologies.

In Barcelona, there is a significant digital gap between different neighbourhoods, especially depending on income. The City Council has projects to reduce this gap and aims to ensure that access to internet services and solutions and to emerging technologies is efficient and balanced throughout the territory.

The digital gap gets worse when it is combined with other factors, such as employment and level of education.  For example, 84% of Barcelona residents have broadband in their homes, while there is up to 34% difference between districts regarding internet connection in homes.

The City Council works with third-sector organisations to reduce this gap, through digital-inclusion programmes and specific projects aimed at the most vulnerable groups. One of the main objectives is for no one in the city to remain without an internet connection due to a lack of resources.

In order to counter and reduce these inequalities, a range of initiatives is being carried out, including improving municipal infrastructures, such as the corporative network and the public Wi-Fi network, as well as holding educational and informative workshops in the city's most disadvantaged neighbourhoods.

News

Launch of the Barcelona Innova Lab

Mon, 03/10/2022 - 12:02

Innovation. A new one-stop-shop providing support for pilot projects in the city.

Seül recognises Barcelona as the best foreign smart city

Fri, 02/09/2022 - 16:05

Smartcity. World Smart City Expo Korea awards Barcelona its prize for best city for its leadership and governance.

The first Deep Tech world congress is coming to Barcelona

Fri, 12/08/2022 - 11:05

The Barcelona Deep Tech Summit will bring together leading companies and experts in the sector to position the city as a key hub in science and technology-based entrepreneurship.

Barcelona and Bologna join forces to develop digital twins of both cities

Mon, 11/07/2022 - 12:02

Digital twins are based on the modeling of urban dynamics using massive data.

Agenda

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