Research clusters


DEM researchers are united by their goal of advancing Biodemography which has led to a growing number of joint research across demography, epidemiology, medicine, biology, mathematics and statistics. To provide structure for these teams, DEM has developed 8 Research Clusters which are described in details below.


Please click on the individual links below or in the drop down menu to your right to read more about the clusters.

The Pace and Shape of Aging cluster
We focus on applying the pace shape framework to human and non-human populations across the tree of life to help uncovering key factors that determine patterns of birth and death.

The Forecasting cluster
"How long will I live?" This is a question of interest to individuals, physicians, public health officials, actuaries, demographers and policy makers.

The Age Trajectories cluster
In terms of mortality and disability, 75 is the new 65 in the sense that 75-year-olds today are about as healthy as 65-year-olds were half a century ago. People still grow old, but they are growing old later in life.

The Basal Metazoan cluster
Do death rates for basal metazoans—hydra, sponges, jellyfish and some kindred species at the root of the animal tree of life—increase with age or remain more or less constant?

The Demographic Methods cluster
We develop novel demographic models and statistical methods to explore the causes and consequences of the age-specific trajectories of survival across the tree of life.

The Conservation Demography cluster
Extinction is in essence a demographic process, when mortality surpasses fertility. Therefore, understanding demographic processes is essential for conservation and research in ecology and evolution.

The Male-Female cluster
Epidemographers and biological demographers at DEM collaborate to push the boundaries of our knowledge about the universality of the male-female health-survival paradox and the potential mechanisms underlying it.

The Databases cluster
DEM is leading the way in collating nonhuman demographic data into several databases.






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