Remigijus Šimašius



Innovation Website
Lead Innovation Officer

Egle Radvile

Innovation is helping to:
  • Improve service delivery

  • Save costs and improve efficiency within the public sector

  • Improve resident outcomes

Critical success factors:
  • Human resource support

  • Dedicated innovation team

  • Culture of innovation in city

  • Leadership from Mayor

Spotlight on innovation in Vilnius

The city of Vilnius is encouraging every student to learn at least three languages: their mother tongue, a foreign language and the Information Technology (IT) language. The IT language covers four different areas:

  1. Administration and Security (Hack): ability to understand computers’ internal functioning and software management
  2. Robotics and Programming: ability to understand basic device control techniques using programming languages
  3. Media and Design: ability to create and apply visualizations through the user experience
  4. E-sport: game control skills that enable children to develop emotional and strategic abilities, while also encouraging physical health.

Vision and approach to innovation capacity

Along with 50% of cities surveyed, Vilnius does not have an explicit innovation strategy. Similar to more than half of cities surveyed, Vilnius approaches innovation capacity both from a holistic/macro level, as well as in specific policy areas.

Policy areas that Vilnius is focused on


Transport/Mobility: An Intelligent Mobility Core is a modular, open, shared, platform that equips authorities to learn, monitor and optimize mobility in the city.

Education: See example in the Spotlight above.

Policy areas by number of cities

Vilnius utilizes 6 different innovation skills or roles

Project manager
Communication officer
Community engagement staff
Data scientist
Innovation roles by number of cities

Situated in the City Manager’s office, Vilnius’ Chief Technology Officer, together with around 40 staff, is working on innovation programs across 359 organizations throughout the city administration.

Terms Vilnius most associates with innovation

Human-centered design
Technological innovation

Vilnius' most common innovation activities

Taking risks and testing new ideas
e.g. prototyping new programs or models to address a persistent city challenge
Promoting data-driven analytics / public data management
e.g. data storage/analytics; open data; big data
Engaging residents in new ways
Developing new solutions based on digital technologies
e.g. use of drones or smart sensors
Facilitating organizational change within the municipality
e.g. silo-busting; new internal performance management; staff training and capacity building on innovation tools or techniques; reforms to contracting or procurement
  1. 1

    Taking risks or testing new ideas

  2. 2

    Data-driven analytics/public data management

  3. 3

    Engaging residents in new ways

  4. 4

    Developing new solutions based on digital technologies

  5. 5

    Organizational change within the municipality

  6. 6

    Human-centered design

  7. 7

    Rethinking your city’s approach to financing partnerships

How is innovation funded here?

Like 19% of cities surveyed, Vilnius does not have dedicated funding to support innovation capacity.

Top sources of funding

Vilnius has no reported sources of funding.

Activities being funded

Vilnius does not fund any specific activities.

47 cities
Launching or sustaining a project
79 cities
Idea generation & brainstorming
51 cities
Investing in digital systems
36 cities
Investing in physical infrastructure
30 cities
Paying for services

*"Training staff and building capacity" is not an option in the 2018 survey, while "Launching or sustaining a project" is not an option in the 2020 survey.

How is innovation measured?

Vilnius has developed partnerships to promote innovation capacity with other public agencies, private firms, not-for-profit organizations, and city residents/resident associations. To improve data use, the city has also developed data partnerships with the private sector, private philanthropy, academia and think tanks, to collect and analyze data, as well as with other cities.

Data availability by policy area


Sufficient data


Housing and built environment


Government finance

Waste and sewage

Labour market and skills


Public works


Digital governance


Built environment

Land use

Insufficient data

Economic Development

Environment and climate change

Policing and law enforcement


Social inclusion and equity

Social welfare/social services