Methods

Human Diversity is hosting multiple world-leading research teams studying human diversity from complementary perspectives, constructing diverse digital datasets, and developing technologies for their analysis. Recent breakthroughs in technologies for ancient DNA (aDNA) sequencing; the dramatic surge in data from archaeology, anthropology, and historical linguistics and computational methods to analyse them have transformed the ability to study past human contacts.

Colletion and analysis of aDNA samples together with population genetic analysis of the ancient and contemporary genomic data opens the window to human genetic variation in past and present. Quantitative genetic and population genetic analysis of longitudinal human data allows to estimation of the effect of physical and cultural environment, disease, and movement in human contacts in a evolutionary view.

Methods commonly used in population biology, phylogenetics, landscape ecology, geography and computational sciences can also be applied to language data. Collection and analysis of corpus data with applying deep machine learning  to automatically process and understand text datasets helps in identifying connections both in past and present. Computational modeling, networks and artificial intelligence methods are valuable for discovering links and connections between the different types of datasets in the Human Diversity project.