Technology Supporting the Process Foresight for the Smart City in terms of Automating the Identification of Trends

The system created will allow public administration employees at the level of local government (understood as a municipality) to achieve four basic objectives:
1. early warning – based on a set of analyses performed in real time.
The system will enable the identification of emergent social and economic trends in six areas social and economic trends in six areas defined according to the systematics adopted in the research methodology in the field of smart cities, smart economy, smart living, smart people, smart environment, smart mobility and smart governance.
Mobility and smart governance. The results of the analyses carried out will make it possible to real-time analysis of the intensity of selected trends in a broad systemic context, and thus make tactical and strategic decisions with lower risk than in standard procedures. In addition,
these analyses can be an important input for the preparation of comprehensive  strategic documents (city development strategy, smart city strategy) and sectoral strategic documents (e.g. Mobility Development Strategy).
2. monitoring of external measures – in parallel to the system’s analyses of emergent trends, the system will monitor available external resources allowing the realisation of projects in response to emerging trends and uncertainty factors. To emerging trends and uncertainty factors. This will allow the generation of interdepartmental development proposals and strengthen the budgetary and investment capabilities of the local government.
3. data for EU applications – generated analyses and reports will provide high quality factual input for external funding applications The generated analyses and reports will provide high quality factual input to external funding applications, giving the local government unit a competitive advantage.
4. data on new solutions – the system will conduct real-time analysis of implemented socio-economic innovations in cities in the region and beyond, thus reducing the time that would be needed to carry out the horizon scanning required for applications for the design and/or implementation of innovations.
The core of the system – Cross-Impact Analysis
The technology consists of 6 cross-impact matrices (CIA) constructed according to the smart city classification: smart economy, smart living, smart people, smart environment, smart mobility and smart governance. Each matrix includes national/European/global trends and processes locally identifiable processes, e.g. for a smart environment matrix this could be
data on the local level of particulate pollution, or the number of hybrid or electric cars registered. Real-time monitored indicators make it possible to determine the strength of key trends in the segment and, based on these, anticipate opportunities and threats for the local authority.
threats for the local authority. All six matrices are bundled into one meta-matrix and a citywide report is generated once a month.Technical cooperation (contract for consultancy)
The matrices allow for the analysis of:
1. structured data – trend and local data analysis;
example sources:
(a) Available at global/ European level (e.g. Eurostat, UNEP, UNFPA, UN HABITAT, UNHCR, CIA, World Bank)
(b) Available at city level made available by:
– public sector (LDB, municipal reports, JST budget, WPF),
– non-governmental sector (financial and factual reports),
– inhabitants (e.g. from the applications used),
– entrepreneurs,
– higher education and science entities.
2. unstructured data – sentiment and contextual analysis of statements of residents on specific topics tailored to the chosen city;
Launch of an innovative service to support the implementation of a process of foresight for a smart city based on an ICT system. Basic functionalities of the system:
1. dashboard – access to current data at the level of 6 thematic matrices and an aggregate metamatrix. Example (RAHS):
2. report generation – ability to generate a report summarising data fluctuations over a selected time period and identifying the processes with the highest intensity. Once a month, the system automatically generates a report at meta-matrix level with a summary of
key changes for the local government.
3. solution database – a real-time updated database of socio-economic innovations implemented socio-economic innovations implemented in local government units in Poland and countries with similar parameters (predefined group).
4. notifications about competitions – a system of notifications about announced competitions for co-financing development projects in cities.
Lublin, woj. lubelskie
Sale of proprietary rights
Technical cooperation (consultancy agreement)
Form of commercialisation/cooperation
other entities/persons do not hold ownership rights to the technology.
The technology holder provides advice related to implementation.
  • Data Analysis
  • Research
  • big-data
  • smart-city
  • Business development analyses
  • Transport development studies
  • Long-term analyses
  • information services
  • Supervisory consultancy Business services
  • Development of education policy
  • Open enquiry for partner entrepreneurs
  • Acquisition of EU funds, studies
  • Consultancy and social services
  • Public tasks – culture and arts