The OECD.AI Policy Navigator

The GovTech Laboratory is Lithuania’s main initiative to help bring innovative digital solutions into the public sector. Established in 2018, it helps public sector institutions identify challenges that can be solved by AI or other emerging technologies and invites innovative startups and academia to co-create solutions.

The GovTech Challenge Series is a structured open innovation process that connects public sector challenges and teams with ideas or solutions. The programme is designed to solve complex public sector challenges that do not have a clear answer but a potential to foster the creation of innovative digital solutions. The GovTech Challenge Series is supported by a co-creation acceleration programme, designed to foster user centricity, collaboration between public sector institutions and startups.

This pilot programme is being implemented to responsibly test AI solutions and gather information on the potential opportunities and risks of using this technology in the public sector. The pilot iteration of the programme involves 14 public sector organisations and the development of six concepts exploring possible future interactions between the public sector and artificial intelligence.

KURSUOK is a national adult education platform that operates on a one-stop-shop principle, where individuals can choose the training they need and that align with state priorities, and receive funding of up to 500 Euros. The KURSUOK platform aims to encourage adults to develop their general and professional competencies, contribute to fostering a lifelong learning culture in society, and provide opportunities for individuals who want to learn to apply for state funding.

The main tasks of the Working Group is to advise on future AI policies in the public sector and to foster an innovative culture in the public administration.

Lithuania is one of the partners of this project. The project aims to develop an AI-driven platform that assists healthcare professionals in creating personalised testing, tracing, and treatment plans for patients with precancerous stomach conditions, ultimately helping to prevent the progression to stomach cancer.

The project aims to develop a system for analysing and evaluating quality indicators in personal healthcare and to implement technological solutions that connect health professional licenses with mandatory professional development to enhance the monitoring and supervision of competency renewal for healthcare specialists.

Lithuania has announced funding for this project, covering the period from 2023 to 2026 (EUR 7.6M). Lithuanian institutions will participate in the EU’s Genomic Data Infrastructure (GDI) initiative, utilising the national genomic medicine infrastructure to support personalised healthcare. This will create new opportunities for delivering high-quality, effective health services.

This project is aimed at the creation of the main infrastructure for cloud ICT for the provision of cloud services.

The goal of this project is to consolidate public sector data and transfer it to a common “data lake” - the State Data Management Information System common space, where it could help make data-based decisions, conduct scientific research and promote digital innovations.

The reform of public sector data management is set to yield a national data model describing the data stored in every public IT system, help increase the overall data maturity level, allow institutions to exchange data more efficiently and accelerate the implementation of digitisation solutions and the development of digital services in the public sector.

The goal of this programme is to encourage micro, small and medium-sized enterprises (SMEs) to improve their digitisation processes. It provides funding for companies to purchase digitisation and technology services.

Under these measures 47 projects are being implemented to develop AI solutions (by the companies in the middle-west region of Lithuania).

This measure aims to develop innovative solutions and products in AI, blockchain technology and robotics process automation (by the start-ups and spin-offs in the Vilnius region).

The CoE will be specialised in the development and application of R&I solutions based on AI in the manufacturing, energy, health and transport sectors and to create an internationally connected Lithuanian AI cluster.

The Lithuanian State Forest Service (2021-2022) and the Environmental Protection Agency have conducted multiple successive projects using AI solutions to identify clear-cut forest areas as a result of logging.

The objective of the FOREST 4.0 project is to establish a Centre of Excellence to transform the forest environment monitoring, data acquisition, and analysis, and capture value from the collected data.

This project, implemented by the KTU Artificial Intelligence (AI) Center, uses AI technologies to assessment of the bioavailability of selenium and iodine in eggs, to assess metabolic efficiency.

This project implemented will provide a platform and methodology for assessing the progress and maturity of the food ecosystem in its different parts (primary production, processing, distribution and marketing, consumption and waste management). Based on scientific sources and experience, it will identify the criteria needed to determine the level of maturity in the areas of sustainability, health-friendliness and digitalisation/artificial intelligence, creating a platform to assess maturity.

This initiative offers start-up acceleration services and accelerates at least 60 start-ups.