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AGLAIA G. KALAMATIANOU 

 

Title/academic status: Professor

Sector: Social Morphology

Academic field: Applied Social Statistics

E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it., This email address is being protected from spambots. You need JavaScript enabled to view it.

Phone: + 30 210 9201798

Address: 136, Syggrou ave., ATHENS, ATTICA 176 71, GREECE

Research interests: Survival models, stochastic Markovian models, multivariate methods, data mining techniques, growth models, quantitative approach of social research and their applications to social data.    

Member in scientific associations: see Brief CV

Courses: (current)

Undergraduate level

  • Statistics Ι: Introduction to the methods of univariate analysis.
  • Statistics ΙΙ: Introduction to the methods of bivariate and Multivariate analysis.
  • Statistics ΙΙΙ: Advanced multivariate methods for the analysis of data using statistical packages
  • Methods and Techniques of Sociological Research I: the quantitative approach

Post-graduate level:

  • Quantitative Methods of Sociological Research

 

Brief CV

Education:

  • B.S.C in Mathematics, University of Athens
  • M. Sc, in Mathematics, Chelsea College, (now King's College), University of London
  • Ph. D. in Statistics, London School of Economics & Political Science, University of London

Academic visits, on sabbatical leave Academic Visitor:

  • University of Ulster, School of Informatics, Coleraine North Ireland UK and UMIST, Department of mathematics, Manchester England UK. 1/11/1998 - 30/10/1999.
  • University of Cyprus Department of mathematics, 1/11/2004–30/05/2005.
  • London School of Economics and Political Science, Department of Statistics, 1/11/2008-30/5/2009
  • Milano Bicocca, Department of Statistics and Quantitative methods, 03/03/2014 -15/04/2014

Professional associations:

I have been a member of Royal Statistical Society, Bernoulli Society for Mathematical Statistics and Probability, International Association for Statistical Computing, Manpower Society, Operational Research Society, Hellenic Statistical Institute, Hellenic Mathematical Society, and Hellenic Operational Research Society.

Research Interests:

My current research interests concern the development of statistical models inspired by existing social problems as well as the implementation of social standards through data analysis. In particular, my scientific work includes survival analysis models, stochastic Markovian processes, multivariable analysis, data mining techniques, growth models, quantitative research methodology, and their application to social data. Current applications relate to education and employment data, mainly from the Higher Education Area. Specifically, issues are discussed regarding the distribution of the duration of university studies and the factors involved, the development process of student performance during studies, curricula, graduates' outputs in the labor market and the characteristics of their work (focusing mainly on the issues of overeducation and job and degree satisfaction), and lastly the overtime evolution process of gender participation in education.

 

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