Mitigating negative impact of global administration by developing local workplaces
Mikhail Sokolov, graduate of the international Master’s programme ‘Prototyping future cities’, conducted the research about how new technologies affect unemployment. The final thesis was done under Paulina Smykouskaya supervision, tutor at the Master’s programme and Data Protection Officer at Avito.ru.
In modern society, the attitude towards technologies is controversial. On the one hand, they improve people's lives and save them from routine tasks. On the other hand, they threaten our basic needs for stability and independence.
This contradiction is due to the development of automation of all branches of economic activity like replacing hard physical labor, and then developing bots and algorithms specializing in services.
The project on creating local jobs is aimed at increasing employment among the freed labor resources; the tool collects data on the local dwellers’ well-being and activity, the presence of small business and free territories, and then offers a developed concept for creating a small business focused on the needs and opportunities of the local population.
The project includes an interactive map and a modular unit of the enterprise.
The size of the modular unit depends on production volumes, the size of the initial investment and projected demand. It also allows to make the financial model of the enterprise more flexible.
The interactive map is based on the 'Territorial Auspices Index'. It helps you choose a place that combines high density of residents, low levels of competition and inefficiently used urban areas.
New enterprise creates new local jobs and develops inefficient territories in micro-districts. The emergence of new points of attraction should provoke social activity and the construction of new connections within the framework of the existing environment.
The project was implemented on data of a pilot plot of 100 ha. Further development of the project is focused on increasing the coverage of the territory and testing the hypothesis about the scalability of the methodology in a large post-Soviet city.