Snapshot Serengeti Online Lab (TJU FL 22 Java)
What can community science data reveal about the ecology of Serengeti wildlife?

Charles G. Willis
(University of Minnesota)
,
Jeffrey Klemens
(Thomas Jefferson University)
,
Rahul Agrawal
(University of Michigan)
,
Sadie Hebert
(University of Minnesota)
,
Meredith S. Palmer
(Princeton University)
,
Annika Moe
(University of Minnesota)
,
Deena Wassenberg
(University of Minnesota)
,
Katherine Barry
(University of Minnesota)
 et
Craig Packer
(University of Minnesota)

This is a multi-week, interactive lab that will introduce you to ongoing ecological research on the wildlife of the Serengeti tropical savannah.

In this lab sequence, you will generate real scientific data to be collected in a database used for research on Serengeti wildlife populations. Additionally, you will learn to use the database to answer your own questions about Serengeti wildlife. This week you will become familiarized with the Snapshot Serengeti project and its data, practice making observations from photos and forming a hypothesis about what you observe.

Objectifs pédagogiques

  • Define Citizen Science and describe role in research
  • Formulate hypotheses
  • Interpret graphs
  • Differentiate data types - categorical continuous data
  • Use graphical data to address a hypothesis

Emplacement de l’étude de cas

Creative Commons Attribution-NonCommercial 4.0 International