Learn about Erika Podest's journey from a childhood in Panama to a career at NASA as a Research Scientist. 

Students identify patterns in chlorophyll concentration data to formulate their explanations of phytoplankton distribution. 

Students analyze historic plant growth data (i.e., Peak Bloom dates) of Washington, D.C.’s famous cherry blossom trees, as well as atmospheric near surface temperatures as evidence for explaining the phenomena of earlier Peak Blooms in our nation’s capital.

Explore the biosphere and why it is important.

A model analyst develops models to help visualize, observe, and predict complicated data. Model analysis is the process of taking large amounts of data and separate it into a structure that makes it intelligible to the binary process of computers. An analyst also manages the flow of information between different user groups through the use of relational databases.

In this activity students will compare different methods for observing the Sun’s corona and make predictions about what they will observe during the April 8, 2024 total solar eclipse.

Learners will build a 2D model of the Magnetospheric Multiscale (MMS) Spacecraft model. 

Learners use a compass to trace magnetic field lines of a bar magnet. They observe a CME hitting Earth’s magnetosphere and compare its shape to the magnet. They then apply their understanding of magnetic fields to those found on the Sun.

Learners will analyze space-weather data from the National Oceanic and Atmospheric Administration (NOAA). Learners will compare two different types of data: sunspot data and measurements from magnetometers on Earth.

This hands-on activity uses the kitchen sink to model the properties of the boundary of the heliosphere and takes learners through the scientific processes used in investigations: Making observations, using models, and communicating results.