Scientific investigations produce data that must be analyzed in order to derive meaning. Because data patterns and trends are not always obvious, scientists use a range of tools—including tabulation, graphical interpretation, visualization, and statistical analysis—to identify the significant features and patterns in the data. Scientists identify sources of error in the investigations and calculate the degree of certainty in the results. Modern technology makes the collection of large data sets much easier, providing secondary sources for analysis.
What can we learn from computer models about human evolution, behavior, and sustainability? Computer models allow us to observe and investigate the influence of environmental conditions and behaviors on the evolutionary development of social-ecological systems.
Students compare the stories of three Mexican fishing villages to understand the factors that enabled some villages to sustainably manage their fishing resources, while others failed.
Three Mexican fisheries Read More »
An interactive introduction into concepts of ecology, behavioral ecology, and sustainability with a computer simulation of a simple social-ecological system.
NetLogo: Two Foresters Read More »
OpenEvo is an educational innovation project from the Department of Comparative Cultural Psychology at the Max Planck Institute for Evolutionary Anthropology.
Evolve the future of education with us!
