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Seminar "Social and spatial connectivity and demographic change: Innovative analytical approach based on micro-level census data"

The seventh scientific seminar ‘Modern demography’, of International laboratory for population and health NRU HSE, was held on 18th of October. Sebastian Klüsener, deputy head of the Laboratory for fertility and social well-being of Max Planck Institute for Demographic Research, Rostock, Germany, presented a paper "Social and spatial connectivity and demographic change: Innovative analytical approach based on micro-level census data".

Sebastian Klüsener`s paper "Social and spatial connectivity and demographic change: Innovative analytical approach based on micro-level census data" was presented at the seminar.

The first section of the presentation was dedicated to the significancy of the microdata retrieved from the censuses. S. Klüsener explained the main reasons for the ever growing interest of the researhers for such data, and discusseed the analytical opportunities being provided by means of using the micro-level census data.

The second section was dedicated to the innovative approaches to the agent-oriented modeling being developed by the author. These state of art approahes allowing to answer the following questions:
1. Which elements of the fertility decline observed during the demographic transition may be due to the communications, i.e. due to the exchange of information regarding the observed behavioral changes between individuals?
2. Has the transition to lower fertility resulted from the adaptation to socioeconomic changes, or was it due to the between agents information exchange?
The third part of the report was dedicated to the available empirical data related to the problem and difficulties in choosing the measurment method for the communication activity of the population analysis.
The final section was dedicated to the results obtained by S. Klüsener et al. in the course of corresponding studies. The results of these studies were presented with the examples of Sweden and Senegal. In conclusion, agent-orientated models developed by the authors were demonstrated, as were the variables used for the calculations. 

Presentation by S. Klusener