One of the most complex issues in Spain is rural depopulation. This demographic and territorial phenomenon consists of a decrease in the number of inhabitants in a specific area. This brings along a series of difficulties, as depopulated areas often experience impoverishment, negatively impacting the quality of life of the remaining inhabitants. Likewise, the locality can become completely depopulated and turn into what is commonly known as "ghost towns."
Depopulation is a complex problem that must be strategically addressed with solutions such as those implemented by the startup Findspo through Fraian, their proposal of artificial intelligence applied to depopulation.
Causes of depopulation
One of the reasons for the population decline in a specific area is that the number of deaths exceeds that of births. However, the factor that usually has the greatest impact on the drastic reduction of the population of a locality is negative migration balance, meaning there are more emigrants than immigrants. This behavior is often linked to job opportunities.
For this reason, Findspo, founded by César López & Sergi Majo, designed an Holistic AI applied to depopulation that promotes repopulation by connecting people with attractive ¨life¨ opportunities in rural areas.
This initiative has a significant impact, as it offers living solutions for those who want to escape cities and settle in quieter communities. Additionally, rural areas also benefit because they attract new settlers who revitalize and strengthen them, both demographically and economically.
Project implementation
Findspo explains that its platform does not generate additional work for those involved in repopulation projects, as the software is self-sufficient and intelligent.
Regarding the implementation of a project, the company states that the process consists of four phases that are carried out within an eight-week period.
The first stage is planning and evaluation. At this point, the Findspo team focuses on identifying the development needs of the specific area. Available resources, both human and technological, are also evaluated, and measurable objectives are defined.
Phase two involves designing and configuring the software tailored to the specific needs of the rural area to be repopulated. This step includes creating training materials and configuring technical support channels.
Then, the implementation and training stage begin, meaning the software is deployed in the selected rural environment, and practical training sessions are conducted for end users.
Finally, the last phase is monitoring and continuous improvement. In this phase, user feedback is collected to make improvements to the software and the onboarding process.
Those interested in this new technological solution for depopulation can find more details on their website.
The Findspo team
The Findspo team is characterized by being an exceptional human team, committed to developing enriching projects for rural populations comprehensively, considering human beings, flora, and fauna.
The team is composed of: César López engineer expert in ML/DL, Sergi Majó software engineer expert in HPC, Amparo Oliver, an expert in Methodology of Behavioral Sciences and Applied Statistics; Frank Babinger, a Phd in tourism; David Leal, an economist with a Ph.D. in Sociology and has been recognized for his work in sustainable development and corporate social responsibility; Finally, Damian Garcia, an expert MSc in technology law with an impressive track record in the legal field.
Include the awarding of contracts by MITECO, the Ministry of Ecological Transition and Demographic Challenge, for AI applications in the field of rural development and participation in the European Rural Parliament and several international consortia in Horizon programs.
