We have access to data from several cohorts that have been following children from birth to later ages, and that have collected large amounts of data on health, cognition, psychopathology and educational achievement. In particular, the Eden cohort has been following 2000 children since birth until 11-12 years of age. The Elfe Cohort is currently following about 11000 children since birth. Other international cohorts are also available, including some with brain imaging and genetic data.
Data analysis can bear on any of the following questions:
- Psychological disorders. To what extent are cognitive deficits the cause, and to what extent are they the consequence of psychological disorders in young adolescents? What are the early determinants of psychological disorders? To what extent are they mediated by early cognitive deficits?
- Academic achievement. What early environmental factors have an effect on later academic achievement? To what extent are they mediated by early cognitive abilities? To what extent do literacy and numeracy abilities covary? To what extent is this explained by general intelligence, and to what extent by more specific cognitive factors?
- Sex differences in cognitive abilities. In what academic areas, cognitive abilities and psychological symptoms are there sex differences? What is the developmental trajectory of these differences? To what extent can they be explained by sex differences in the measured environmental factors? To what extent do the effects of environmental factors differ between the sexes (sex-factor interactions)?
- What are the characteristics of high-IQ children, in terms of health, mental health, educational achievement? Does IQ profile (homogeneous vs. heterogenous) matter?
- Bring your own question!
Student profile: data science, statistics, econometrics, AI. Any other profile, but with strong analytical skills.