Centre Maurice Halbwachs

Groupe : Chercheurs associés

Tugce Beycan

Informations personnelles

Adresse

France

E-mail

tugce.beycan@gmail.com

Biographie

ORCID : https://orcid.org/0000-0002-5807-4307

Survey Statistician & Sociologist            

Education :

PhD Sociology (University of Neuchâtel, Switzerland)

MSc Statistics (University of Neuchâtel, Switzerland)

Master Development Economics (University of Montesquieu Bordeaux IV, France)

BA Economics and Management (University of Toulouse 1-Capitole, France)

 

Research Vision: Internationalist, Data Mining & Machine Learning & Knowledge Discovery in Human Sciences, Methodologist- Discovery of QoL Configurations

Research Interests :

Multidimensional Poverty, Quality of Life (QoL), Well-being, Quantitative Sociology, Comparative Sociology, Social Indicators, Labor Statistics, Sociology of Family, Social Bonds

 

Academic work/Summary List :

Multidimensional Poverty Analysis & Capabilities” (Ph.D.): Brazil, Mexico, South Africa, Turkey

“Application of Partial Order Theory in Multidimensional Poverty Analysis”: Switzerland

“Comparative Multidimensional Poverty & POSET Analysis”: India

“Comparative Analysis of Social Bonds & Social Attachment”: 16 European countries

“Social Attachment & Ethnic Diversity Analysis”: United States of America

“Social Attachment & Labor Market Dynamics”: South Africa

“Dynamics of Lineal Bond (family) & Multidimensional Poverty”: Upper-middle-income countries

 

Original Academic Contribution from my PhD:

“The Use of Machine Learning in Socio-Quantitative Poverty Analysis”

“Discovering the Multi-Configuration of Poverty (DMCP)”

“Applied Research: A Multidimensional Poverty Measurement Methodology for Policy Makers”

#MachineLearningPovertyAnalysis

#DiscoveryHiddenPovertyPatterns

#DecisionTreesPublicPolicy

 

Major Professional Work Experience & Academic Projects:

Department of Statistics (ILOSTAT), International Labor Organization (ILO), Geneva, Swiss

International Programme on the Elimination of Child Labor (IPEC), (ILO), Geneva, Swiss

Swiss National Science Foundation (SNSF) Postdoc.Mobility Research Grant, CMH, Paris

Swiss-India project (Indo-Swiss JRP), Statistical Fieldwork: ISEC Bangalore, India

 

Statistical Expertise:

R & R Studio & STATA (daily use at work), SPSS, SAS

Micro data analysis / Micro data preparation (raw data, inconsistency check, derived data)

Do file preparation (ILO official labor stat), National estimations/reporting

Data collection, Pooled data/ Macro database construction

Determinant / Decomposition analysis

Operationalization of conventions, regulations/ human rights statistics

International Comparison

Survey Statistics, Indicators, Social / Labor / QoL Statistics

 

Links :

PhD Manuscript (“The Multidimensional Nature of Poverty in Upper-Middle-Income Countries”) :

https://doi.org/10.35662/unine-thesis-2883

Swiss National Science Foundation (SNSF) Post-doc Mobility Grant Project: https://data.snf.ch/grants/grant/202930

Fondation Maison des Sciences de l'Homme (FMSH) Researcher profile :

https://www.fmsh.fr/chercheurs/tugce-beycan

Fondation Maison des Sciences de l'Homme (FMSH) Podcast (“Dynamic Analysis of Multi-Configuration of Poverty and Social Bonds in Upper-Middle-Income Countries”) :

https://doi.org/10.60527/j1a1-py13

 

Some Research Extract/Articles :

What Attaches Individuals to Groups and Society. A European Comparison,” in: Swiss Journal of Sociology, 46(1):7-35 (w/  S. Paugam & C. Suter): https://seismoverlag.ch/site/assets/files/3595/abstracts_szfs_46_1.pdf

Comparative Study of the Social Attachment Regimes across 34 Countries”, FMSH International Workshop Comparing “Comparative Literature”-Japan, Germany, France, and the World-, Paris (France): https://www.fmsh.fr/sites/default/files/media/files/Social%20Regimes%20Conference%20Proceeding.pdf

Child Labor, Statistics and Survey,” in: Filomena Maggino (ed.), Encyclopedia of Quality of Life and Well-being Research. Springer, Cham:

https://doi.org/10.1007/978-3-031-17299-1_104682

Ranking Karnataka Districts by the Multidimensional Poverty Index (MPI) and by Applying Simple Elements of Partial Order Theory,” in: Social Indicators Research, 143:173-200 (w/ B.P. Vani, R. Bruggemann & C. Suter):

https://link.springer.com/article/10.1007/s11205-018-1966-4

 

Toutes les publications

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Publications sous HAL (par ordre chronologique)