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Studies

European Doctoral School of Demography

ABOUT

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The EDSD is an eleven-month sponsored program that is offered every year aiming to provide students in the first year of their doctoral studies with an appropriate high-level education in demography. Students will acquire a solid knowledge base on the causes and consequences of demographic change, population data, statistical and mathematical demography, as well as modeling, simulation, and forecasting. The School’s courses are structured in such a way that the students work on the precise formulation of a thesis topic and early steps of their dissertations.

Many of the School’s courses concentrate on strengthening the quantitative and programming skills of the students. The language of the School is English.

In the 2019/20 academic year, the School will be held at two different locations. The preparatory courses (September and October 2019) will be offered at the Max Planck Institute for Demographic Research in Rostock, Germany. The core courses (from November 2019 until end of July 2020) will be held at the Centre for Demographic Studies (Centre d’Estudis Demogràfics – CED) at the Universitat Autònoma de Barcelona, Spain.

Master’s Degree in Demography

Upon successful completion of the program and presentation of a thesis, the students enrolled in the EDSD will receive an official European Master in Demography delivered by the Universitat Autònoma de Barcelona.

For more information, visit the current EDSD 2018/19 program in Odense, Denmark: EDSD 2018/2019

Contact information: edsd@ced.uab.es

Preparatory courses in Rostock

The courses in Rostock consists of (1) Measures and Models in Demography, (2) Basic Mathematics for Demographers, (3) Basic Statistics for Demographers and (4) Computer Programming for Demographers.

The aim of the preparatory courses is to prepare the students for the core courses at CED in Barcelona.

Core courses in Barcelona

The program at CED consists of six courses on (1) Causes of Demographic Change, (2) Consequences of Demographic Change, (3) Statistical Analysis for Demographers, (4) Mathematical Demography, (5) Demographic Data and (6) Demographic Modeling, Simulation and Forecasting. In addition, computer, graphic and presentation skills are taught. Students devote 20% of their time to thesis research.

Student will be also offered the opportunity to attend CED’s Social statistics and Population Seminars held weekly.

Courses

Schedule

Week Course Content Lecturer Affilation
1. Nov. 4-7, 2019 Population Data and Science Introduction to Demography. Data quality and types Albert Esteve Center for Demographic Studies (CED)
2. Nov. 11-14, 2019 Population Data and Science Dealing with Data Tim Riffe Max Planck Institute for Demographic Research (MPIDR)
3. Nov. 18-21, 2019 Theory Historical Demography Lionel Kesztenbaum Institut National d’Études Démographiques (INED)
4. Nov. 25-28, 2019 Theory Fertility, family and the life course (causes) Daniele Vignoli University of Florence
5. Dec. 2-5, 2019 Theory Fertility, family and the life course (consequences) Brienna Perelli-Harris University of Southampton
6. Dec. 9-13, 2019 Statistical Demography Causation Maarten Bijlsma  Max Planck Institute for Demographic Research (MPIDR)
7. Dec. 16-20, 2019 Statistical Demography Event History Analysis 1 Jutta Gampe  Max Planck Institute for Demographic Research (MPIDR)
8. Jan. 13-17, 2020 Statistical Demography Event History Analysis 2 Carlo G. Camarda Institut National d’Études Démographiques (INED)
9. Jan. 20-24, 2020 Statistical Demography Event History Analysis 3 Carlo G. Camarda Institut National d’Études Démographiques (INED)
10. Jan. 27-31, 2020 Statistical Demography Event History Analysis 4 Jutta Gampe Max Planck Institute for Demographic Research (MPIDR)
11. Feb. 3-7, 2020 Current Population Issues Demography and Inequality (Theory and Research) Diederik Boertien Center for Demographic Studies (CED)
12. Feb. 10-13, 2020 Modeling, Simulation and Forecasting Agent-Based modeling and simulation Frans Willekens Population Europe
13. Feb. 17-21, 2020 Theory Migration Elena Ambrosetti Sapienza, Università di Roma
14. Feb. 24-28, 2020 Theory Migration and Health Philippe Bocquier Université Catholique de Louvain
15. March 2-6, 2020 Theory Theories of Migration Clara Mulder University of Groningen
16. March 9-13, 2020 Mathematical Demography Stable Populations Hal Caswell University of Amsterdam
17. March 16-20, 2020 Theory Mortality 1 (causes) Virginia Zarulli Interdisciplinary Centre on Population Dynamics (SDU)
18. March 23-27, 2020 Theory How conditions in early life affect outcomes in later life Tommy Bengtsson Lund University
19. March 30 to April 3, 2020 Population Data and Science Digital Demography Diego Alburez Max Planck Institute for Demographic Research (MPIDR)
20. April 14 to April 16, 2020 Statistical Demography Sequence Analysis Sergi Vidal Center for Demographic Studies
21. April 20-24, 2020 Current Population Issues Measuring the generational economy Bernhard Hammer Vienna Institute of Demographie (VID)
22. April 27-30, 2020 Mathematical Demography Decomposition techniques in health research José Manuel Aburto University of Southern Denmark (SDU)
23. May 4-8, 2020 Statistical Demography Multilevel Data Analysis Konrad Turek Netherlands Interdisciplinary Demographic Institute (NIDI)
24. May 11-14, 2020 Theory Mortality 2 (Consequences) James W. Vaupel University of Southern Denmark
25. May 18-21, 2020 Mathematical Demography Heterogeneous Populations – from discrete to continuous James W. Vaupel University of Southern Denmark
26. May 25-29, 2020 Modeling, Simulation and Forecasting Age-period-cohort Models Bendix Carstensen Steno Diabetes Center Copenhagen
27. June 1-5, 2020 Modeling, Simulation and Forecasting Population projections and forecasts Heather Booth and Marie-Pier Bergeron Boucher ANU College of Arts and Social Sciences, and Interdisciplinary Centre on Population Dynamics (SDU)
28. June 8-12, 2020 Modeling, Simulation and Forecasting Demographic forecasting Heather Booth and Ugofilippo Basellini ANU College of Arts and Social Sciences, and Max Planck Institute for Demographic Research (MPIDR)
29. June 15-19, 2020 Mathematical Demography Alternative measures Vladimir Canudas Romo ANU College of Arts and Social Sciences
30. June 29- July 3, 2020 Thesis work
31. July 6-10, 2020 Thesis work
32. July 13-18, 2020 Thesis work
33. July 20-24, 2020 Final Presentations

How to apply

Applications for EDSD 2020-2021 will open in January 2020. However, please note that if  you are interested in pursuing an EDSD-PhD position via the London School of Hygiene and Tropical medicine, visit the link https://ubel-dtp.ac.uk/eligibility/how-to-apply-2/ for more information. Please notice that the LSHTM has a deadline application earlier than the other partners of the consortium, usually set at the beginning of the year.

Call for Applications 2019/2020

To be eligible for admission to the program, a student should hold an above average Master’s degree in demography, mathematics, statistics, public health, economics, sociology, geography, biology, computer science, history or another relevant field.

Participants must have a curious mind and a deep interest in demography and population development either of humans or of species across the tree of life, and a demonstrable competence in English.

EU citizens must have a valid European Health Insurance Card (EHIC) for the duration of the program. In case of being selected as a successful candidate, non-EU citizens will have to apply for student visa in Spain and Health Insurance.

Application deadline is April 15, 2019 for start date in Sept 2019. Successful candidates will be announced in June 2019.

To apply e-mail the following documents to edsd@ced.uab.es:

  • CV detailing educational and work history, language abilities, plus any scholarly publications.
  • One recent letter of recommendation.
  • Motivational letter (up to 5 double-spaced pages) introducing yourself and presenting your professional interests, background (beyond what is obvious from your CV) and plans. Explain how you expect EDSD could promote your future career. Include a detailed description of your quantitative skills (mathematics, statistics, and computer programming).
  • Official transcripts and degree certificates of your Bachelor’s and Master’s degrees in English or English translation.
  • TOEFL (internet-based: 100, computer-based: 250, paper-based 600) or CAE test scores. Alternatively, a degree taught in English or a declaration of why you are proficient in English.