Swedish INterdisciplinary Graduate School in register-based research - SINGS
Swedish population registers constitute a unique resource for research in order to provide better public health and welfare. The graduate school is a result of the Swedish Research Council's initiative in providing a national focus on register-based research.
Short, illustrative film “The benefits of using Nordic population registers for research purposes” developed by SINGS now on YouTube
New call planned for fall 2020! Please visit this site for update on application.
The subject area “register-based research” covers all quantitative scientific disciplines that use registers in research, such as epidemiology, public health, sociology, demography, psychology, statistics, health economics, and other medical and social sciences.
Overall programme description
The curriculum is designed in accordance with outcome-based education and is intended to develop deeper knowledge, skills and scientific and ethical approaches regarding how different sources of data and registers can and should be utilised in research, preparing for a scientific career in the area of register-based research.
The graduate school is a complement to mandatory courses required at the university where the student is registered. The programme includes a minimum of 12 higher education credits. The school runs in 2-year cycles, and students are admitted biannually.
The educational activities focus on methodological, practical, ethical and legal aspects related to register-based research. Courses represent the major part and include core courses that are strongly recommended to be taken by all students, as well as a variety of elective courses in order to enable tailoring of individualised study plans. Retreats, workshops and seminars are also arranged regularly, where issues are highlighted from theoretical, applied, methodological and practical perspectives.
Each semester, two to three core activities (courses and other activities) are arranged. Programme modules consist sessions on 2 to 5 days each. All activities are in English. Most of the educational activities are arranged at Karolinska Institutet, but some are held elsewhere. E-learning activities will also be used.
The overall objectives are that the student shall:
- demonstrate thorough knowledge of existing registers,
- demonstrate the ability to identify and formulate problems of relevance for register-based research,
- demonstrate the ability to use appropriate methods to undertake research-based research,
- demonstrate the capacity to perform and assess register-based research, following laws and research ethical principles,
- demonstrate methodological and practical skills when undertaking register-based research,
- demonstrate insight into the possibilities and limitations of register-based research.
Target groups and previous calls
The target group is doctoral students involved in register-based research within their research training. Eligible applicants are doctoral students and future doctoral students at a Swedish university. Registered doctoral students will have an advantage in the application process, but current enrolment is not an absolute requirement when applying for this programme. Applicants should not have passed half-time of their doctoral education.
There have been three previous calls within SINGS 1 (administrated from Department of Medicine, KI); Cohort 1 (spring semester 2010─spring semester 2012) when 30 students were admitted, Cohort 2 (spring semester 2011─spring semester 2013) when 19 where admitted and Cohort 3 (spring semester 2013─fall semester 2014) when 28 where admitted.
Within SINGS 2 (administrated from Institute of Environmental Medicine, KI) 28 doctoral students were admitted to the first cohort (fall semester 2014─fall semester 2016). In the second cohort (spring semester 2016-spring semester 2018), 25 doctoral students were admitted.
Administrative Organisation and Steering Group
The administrative and educational organisation is made up of a research school director and an academic administrator.
Research school director and chair: Anita Berglund, Phone: +46 70 7986534, +46 8 524 874 66
Assistant research school director: Karin Modig, Phone: +46 8 524 801 53
Academic administrator: Johanna Bergman, Phone: +46 8 524 872 66
National coordination SINGS and the persons responsible at each university constitute SINGS national steering group:
Karolinska Institutet, Stockholm
Anita Berglund, Ass. Professor of Epidemiology, Institute of Environmental Medicine (project leader and chair steering group, regular member in VRREG national coordination group)
Karin Modig, Ass. Professor of Epidemiology, Institute of Environmental Medicine (deputy chair steering group, for Anita Berglund)
Magnus Stenbeck, Ass. Professor of Epidemiology, Institute of Environmental Medicine, Secretary in the Research Data Inquiry
Stockholm University, Stockholm
Gunnar Andersson, PhD, Professor of Demography, Dep. of Sociology, Demography Unit (deputy member for Anita Berglund in VRREG national coordination group)
Lund University, Lund
Jonas Björk, PhD, Professor of Epidemiology, Faculty of Medicine, Dep. of Laboratory Medicine, Division of Occupational and Environmental Medicine
Kirk Scott, PhD, Professor of Economic Demography, School of Economics and Management, Dep. of Economic History
Umeå University, Umeå
Xavier de Luna, PhD, Professor of Statistics, Umeå School of Business, Economics and Statistics, Unit of Statistics
University of Gothenburg, Gothenburg
Max Petzold, PhD, Professor of Biostatistics, Sahlgrenska Academy, Institute of Medicine, Dep. of Public Health and Community Medicine
Linköping University, Linköping
Maria Brandén, PhD, Senior Lecturer, Dep. of Management and Engineering, Institute for Analytical Sociology
Uppsala University, Uppsala
John Östh, PhD, Ass. Professor, Senior Lecturer of Geography with GIS, Dep. of Social and Economic Geography
Doctoral student representatives will be decided.
Previous course occations
Advanced survival models for correlated data
Doctoral course: "Methods for life-course epidemiology" (1.5 credits)
Courses doctoral programme Epidemiology, fall 2016
5 ECTS Course on Global Occupational Health in Lund
Doctoral course: "Introduction to spatial methods" (1,5 credits)
Doctoral course: “Social and life-course epidemiology” (1.5 credits)
Doctoral course: “Advanced course in SAS programming for health care data” (1.5 credits)
Doctoral course: “Design and analysis of twin and family based studies” (1.5 credits)
Advanced Demographic Methods 2
EPI Seminar with Bianca De Stavola and Gita Mishra, 8 March 2016
Live Plenary "Causal Mediation in Epidemiology"_March 2, 2016, 1:00 - 3:00pm EST
Live Plenary featuring:
Drs. Ashley Naimi and Tyler VanderWeele
"Causal Mediation in Epidemiology"
The event is arranged by the Society for Epidemiologic Research
Biostatistics Seminar - Current status data: Epidemiology, avalanches and screening with Nicholas P Jewell, Professor of Biostatistics & Statistics, University of Berkeley
Arranged by SINGS (Swedish INterdisciplinary Graduate School in Register-Based Research) within SIMSAM (Swedish Initiative for Research on Microdata in the Social And Medical Sciences) - supported by the Swedish Research Council.
Invited speakers and experts biographies
Course “Data visualization” given at University of Oslo. Application deadline is 16th July 2017.
Article about SINGS and SIMSAM are highlighted in the web magazine Curie, issued by the Swedish Research Council (VR).
Vacancies at Quantile Regression course at GU spring 2015
There are a few vacancies at the 1.5 HECS course Qantile Regression to be given 20 April – 8 May, 2015, at the University of Gothenburg. The application dead-line has expired but PhD students can send late applications to firstname.lastname@example.org
Research Designs for Causal Inference, Department of Sociology and Human Geography University of Oslo
The Department of Sociology and Human Geography University of Oslo will give a course called SOS9019 Research Designs for Causal Inference in a few weeks’ time. The course will cover modern research designs and methods for causal inference in sociology and allied disciplines.
The course is applied, in the sense that students will learn the basics of the theory behind causal inference and in practical sessions apply the methods to actual data. The course description is found here.
The target audience is starting doctoral students / advanced master's students / researchers with a need for updating their skills. There are no formal prerequisites, but mastery of basic regression analyses and basic Stata use is an advantage.
There are still available places on this course (Travel grants may be available for students from Nordic countries doing life course analysis.)
Please contact Katalin Godberg for enrollment/questions.
Torkild Hovde Lyngstad
Department of Sociology and Human Geography University of Oslo