The time for the seminars is Thursday at 13:00-14:00.
All interested are welcome to participate in CEDAR seminars. The seminars are held on floor 4 NBET and online via Zoom. If you wish to participate via zoom contact Mojgan Padyab.
Seminar with Erling Häggström Gunfridsson, CEDAR Enheten för demografi och åldrande forskning.
Patrilinear perspectives of the colonisation of a northern Swedish region using genetic genealogy
The colonization of Västerbotten, a region in northern Sweden, has remained a poorly understood from a long historical perspective. While written records became available from the 18th century onward through detailed parish registers, the earlier history of the region remains uncertain. In this study, we employed genetic genealogy as a tool to investigate the colonization process of Västerbotten.
One aim was to trace the progression of colonization, the demographics, migration patterns, and ancestry of the early inhabitants of Västerbotten. Specifically, examining the haplogroup patterns in the population provided insights into the paternal lines dominating the colonization process in the last two millennia.
Another aim was to, through the example of this study, highlight the power and utility of genetic genealogy as a tool for explaining complex historical demographic processes.
The results show that specific paternal lines have had a major impact on the genetic makeup of the population in Västerbotten. This serves as an example of how genetic analysis can enhance our comprehension of historical events, not only in this region but also in similar historical contexts worldwide.
Illustration DDB 50 years
Image Illustratör Marlene LahtiCEDAR seminar with Jonas Helgertz, Department of Economic History, Lund University.
Examining the Role of Training Data for Supervised Methods of Automated Record Linkage
During the past decade, scholars have produced a vast amount of research using linked historical individual-level data, shaping and changing our understanding of the past. This linked data revolution has been powered by methodological and computational advances, partly focused on supervised machine-learning methods that rely on training data. The importance of obtaining high-quality training data for the performance of the record linkage algorithm largely, however, remains unknown.
This paper comprehensively examines the role of training data, and---by extension---improves our understanding of best practices in supervised methods of probabilistic record linkage. First, we compare the speed and costs of building training data using different methods. Second, we document high rates of conditional accuracy across the training data sets, rates that are especially high when built with access to more information. Third, we show that data constructed by record linking algorithms learning from different training-data-generation methods do not substantially differ in their accuracy, either overall or across demographic groups, though algorithms tend to perform best when their feature space aligns with the features used to build the training data. Lastly, we introduce errors in the training data and find that the examined record linking algorithms are remarkably capable of making accurate links even working with flawed training data.
Seminar with Emma Landby, Department of Geography Umeå university.
Mobilities of families with wheelchair-using children
Mobility can involve many barriers that make it challenging for individuals with disabilities to travel. When it is a child who has a disability, the whole family’s mobility practices can be affected by those barriers since families’ mobilities are often intertwined. My thesis focuses on mobilities of families with wheelchair-using children in Sweden. I use a time-geographical framework to elucidate which constraints that these families are encountering in mobility situations. The thesis is based on interviews, time-use diaries and a survey with parents of wheelchair-using children as study participants.
The findings show that these families face several constraints that affect how and where they can travel and that these constraints have consequences for other parts of their lives, such as parents’ employment. However, the families use different adaptation strategies to enable mobility and increase their geographical freedom.
Illustration DDB 50 years
Image Illustratör Marlene Lahti(! this seminar takes place at 16.00-17.00!)
Seminar with Martha J. Bailey, Director, California Center for Population Research (CCPR)
Methodological developments in research with historical records – experiences from the LIFE-M project
(at 13.15-14.15)
Welcome to a CEDAR seminar with Malin Nilsson Lund University!
Gender, industrialisation and waged handspinning in 18th century Sweden
Malins work deals with livelihood, poverty and paid home-industry work in different contexts and also how gender shapes the conditions for life and work in history. Malin is currently leading a project on waged hand spinning in late 18th century manufactories.
(only on zoom)
Welcome to the CEDAR online seminar with Linnea Sjöberg, Researcher at the Aging Research Center (ARC) and Scientific communicator for the National E-Infrastructure for Aging Research (NEAR), KI.
The National E-infrastructure for Aging Research (NEAR)
NEAR is a unique research infrastructure that was founded in 2018. NEAR promotes and supports aging research by facilitating the use of longitudinal population-based data from renowned Swedish cohort studies on aging and health. NEAR operates through a collaboration among eight Swedish universities. It encompasses 15 databases containing comprehensive biomedical, clinical, social, and psychological health data from around 90,000 older adults followed for 12 to 52 years. NEAR’s mission is to support high-quality aging research by providing big health data while maintaining the same quality and richness as in single population-based studies.
( Only on zoom)
Seminar with Jessica Dimka, Assistent Professor at Seton Hall University, New Jersey, USA
Jessica is a biological anthropologist who studies how social and biological factors lead to health outcomes and disparities.
Modeling the 1918 Flu in Schools for Children with Disabilities
People with disabilities who live in institutions such as schools and nursing homes face complex risks during epidemics of infectious diseases. Biological characteristics associated with some disabilities may increase exposure, susceptibility, or complications of disease, while social conditions (e.g. crowded living conditions, stigma) could influence factors such as transmission of disease and access to health care. Simulation modeling is a useful tool for understanding independent and interacting variables in epidemic outcomes. In this presentation, I will describe how I used archival data sources – including the Demographic Data Base – to build and estimate epidemiological parameters for an agent-based model of a school for deaf children during the 1918 flu pandemic. Results of simulations highlight the importance of social factors in particular for explaining epidemic outcomes and disparities between the children and the presumed non-disabled staff.
(In Fatmomakke NBET and on zoom)
Welcome to a seminar with professor Iñaki Permanyer Ugartemendia, Center for Demographic Studies, the Autonomous University of Barcelona
Iñaki Permanyer is an ICREA Research Professor at the Center for Demographic Studies (CED). He is the Head of the “Health and Demography” Unit at the Center for Demographic Studies and is the PI of an ERC Consolidator Grant project (2020-2025) titled: “Healthy lifespan inequality: Measurement, trends and determinants (HEALIN)”.
Iñaki Permanyer’s ongoing research reveals the extent to which healthy lifespans are unequally distributed across the population. While measures of average life expectancy – an estimate of how many years a person might be expected to live – is on the rise, this measure tells us very little about how long a person will live in good health. Accordingly, more knowledge is needed on the extent of inequality in the length of individuals’ lives. Iñaki Permanyer investigates the trends and determinants of healthy lifespan inequality, and assesses whether the specific ages and causes that drive changes in healthy lifespan inequality are the same ones determining the changes in other indicators of population health such as life expectancy. He also investigates how healthy lifespan inequality looks like across and within countries and socio-economic groups. In addition, Iñaki Permanyer makes innovative contributions – of methodological and substantial nature - to the measurement of co-morbidity and to our understanding on how the latter can in turn influence the measurement of health expectancy and healthy lifespan inequality.
