GovTech Challenges

A systematic model for forecasting regional labour market needs

The Panevėžys Development Agency is looking for a comprehensive, systematic and continuous regional labour market needs forecasting solution based on up-to-date data, which will allow for targeted organisation of local vocational guidance services and the formulation of training and retraining of workers.


  • One of the main challenges facing the city of Panevėžys and the region today is the lack of a skilled workforce that meets the needs of the labour market.
  • A 2020 study on increasing the number of students in Panevėžys commissioned by the Panevėžys Development Agency revealed that higher and vocational schools are not recruiting student/student cohorts for programmes relevant to the region, which prevents the city’s educational potential from being effectively utilised in the city, and that systematic data collection, analysis and monitoring is needed to address the problem, as well as to inform the implementation of the region’s strategic initiatives.
  • The current labour market needs forecasts are one-off, not based on systematic data, not systematically linked to each other, and the systematisation and analysis of data requires a lot of human resources and financial resources. In particular, there is a lack of data on the specific needs of the Panevėžys region, and its individual elements are presented in different data files, and the analyses do not allow for making strategic decisions based on relevant data. This does not allow educational institutions to respond effectively to labour market needs, to cooperate more closely with business, to anticipate the need for future numbers of specialists and training programmes, and to plan other necessary strategic measures.


  • The solution is comprehensive, systematic and continuous forecasting of regional labour market needs, based on up-to-date data, which will enable targeted organisation of local vocational guidance services and the formulation of training and re-training services.
  • The solution should incorporate existing open data sources such as the current number of students and pupils in higher education institutions, the turnover of workers in individual economic activities, the number of planned jobs based on planned investments and expansions, demographic data on the workforce, the demand for workers based on job advertisements in the individual databases, etc., and link and systematise them, thus providing a comprehensive picture of the regional labour market pattern, its evolution and a forecast for the long term future based on this data.

Prizes for participants

Prizes will be awarded to the first, second and third place winners:

  • 1st prize – 9 000 EUR
  • 2nd prize – 6 300 EUR
  • 3rd prize – 4 500 EUR

Additional information

The deadline for receipt of projects or applications for participation is 20 September 2021, 09:00.

For a detailed description of the challenge and the call for projects, see the Central Public Procurement System (CVP IS).

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