Research and study group 'Models and Methods of Demographic Sequence Analysis' has begun its work since January 2016 and was organized with support of the Academic Fund Program at the National Research University Higher School of Economics (HSE) (Research grant №16-05-0011 'Development and testing of demographic sequence analysis and mining techniques') and Russian Academic Excellence Project '5-100'.
Sequence Analysis is one of the most advanced methods for analysing demographic data. It was established in the middle of the last century, but it was seriously developed only with the advent of data mining methods. Demographers, together with specialists in the field of information technology, aim to study the sequences of occurances of different events in the lives of Russians. Hidden patterns in people's behaviour are analyzed and new approaches to the prediction of demographic trajectories are being developed.
The participant of the group, Alena Artamonova, based on the data of the "Generations and Gender" study, conducted a comparative analysis of the key patterns of matrimonial behavior and revealed similar trends and major differences in the listed countries.
Associate Professor of School of Data Analysis and Artificial Intelligence, Dmitry Ignatov, organized international workshop EEML 2017
C 17 по 18 сентября в Техническом университете Дрездена состоялся научный семинар по экспериментальной экономике и машинному обучению (Fourth International Workshop on Experimental Economics and Machine Learning (EEML 2017))