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Regular version of the site

'Models and Methods of Demographic Sequence Analysis' Research and Study Group

The perspectives of family policy in Russia amid increasing cohabitation

Mitrofanova E., Artamonova A.

European Journal of Government and Economics. 2016. Vol. 5. No. 1. P. 47-63.

Book chapter
Black-Box Classification Techniques for Demographic Sequences: from Customised SVM to RNN

A. Muratova, P. Sushko, T. Espy.

In bk.: Proceedings of the Fourth Workshop on Experimental Economics and Machine Learning (EEML 2017), Dresden, Germany, September 17-18, 2017. Vol. 1968. Aachen: CEUR Workshop Proceedings, 2017. P. 31-40.

Working paper
Modernisation of Matrimonial Behaviour of Europeans: the Search for Multi-level Determinants and their Empirical Verification

Artamonova A., Mitrofanova E.

SSRN Working Paper Series. SSRN Working Paper Series. Social Science Research Network, 2018

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. 

Seminar 20 of the group

The final meeting of the group was held, at which new work of the group members was discussed.

Seminar 19 of the group

A meeting of the group, devoted to the analysis of migration trajectories of Russians was held.

Seminar 18 of the group

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))

Seminar 17 of the group

Discussion on possible directions for the development of further sequencing studies with a focus on data visualization.

Seminar 16 of the group

Discussion of draft article by A. Muratova at EEML 2017.

Seminar 15 of the group

Participants of the group presented the results of their work.

Seminar 14 of the group

Meeting of the group in conjunction with an invited specialist from Barcelona Jaume Baixeries. Discussion of further variants of sequence analysis using data analysis methods was carried out.

Seminar 13 of the group

E.S. Mitrofanova made a presentation on "Preparing biographies to analyze the occurrence of the event sequences". Discussion of practical cases based on data.

Seminar 12 of the group

Discussion of the drafts of papers and reports of participants of the group.