As part of our outreach effort at SciServer, we work towards supporting and educating users, creating online resources, and connecting with institutions beyond Johns Hopkins. Our mission is to provide universally-accessible data-intensive research and education tools that bring big data and compute power together.

SciServer outreach also includes our many SciServer publications.

SciServer for Astronomy 101

Rita Tojeiro of University of St Andrews has created a series of Python notebooks that use SciServer to teach introductory astronomy labs. You can download the labs from Rita’s GitHub repository.

SciServer for upper-level astronomy labs

Britt Lundgren of University of North Carolina Asheville has created a series of Python notebooks that use SciServer to teach a full upper-level lab course for astronomy majors. You can download the labs from Britt’s GitHub repository.


We encourage scientists, engineers, and educators to use SciServer for their research, and for classroom and other educational projects. If you use SciServer, please keep us in the loop. Send us your feedback, comments, questions, and feature requests to help us optimize our software development, and identify new functionality requirements.

In addition, if you use SciServer tools for research or education, please include the following acknowledgement in your publication or presentation:

“SciServer is a collaborative research environment for large-scale data-driven science. It is developed at, and administered by, the Institute for Data Intensive Engineering and Science at Johns Hopkins University. SciServer is funded by the National Science Foundation Award ACI-1261715. For more information about SciServer, please visit”

Events and Workshops

Our first SciServer Compute Workshop took place April 27, 2016. The workshop covered SciServer Compute, a webapp that brings SciServer to your browser with server-side Jupyter Notebooks.

Citizen Science

a photo of an edge-on spiral galaxy with a thick dust lane

A galaxy as seen by the Sloan Digital Sky Survey

Our team has been a part of the Galaxy Zoo team from the beginning. Galaxy Zoo is a citizen science project that allows online volunteers around the world to classify images of galaxies from the Sloan Digital Sky Survey. Galaxy Zoo has engaged more than 400,000 volunteers over eight years, and has led to more than 50 peer-reviewed science publications, including some major discoveries made by citizen science volunteers.

Looking beyond astronomy, the SciServer team is part of the collaboration that is creating the Zooniverse suite of citizen science projects. Zooniverse includes more than 20 citizen science projects investigating topics from ecology to particle physics to archaeology.


A hand holding a baby turtle

Life Under Your Feet: a soil ecology project.

SciServer is committed to making all its data available not only to the research community, but also to educators, citizen scientists, and the general public. Our team has spent 15 years developing the SkyServer education projects, which use Sloan Digital Sky Survey (SDSS) data to teach astronomy and other topics in science, mathematics, engineering, and technology courses. We are also working with the SDSS education team on SDSS Voyages, a new set of education activities based on the new Next Generation Science Standards.

The main development focus of SciServer education will be the creation of SciServer Courseware, which will allow teachers to manage their students’ work with SciServer education projects.

Towson University

Towson University Logo

Towson University

We are working with Dr. Michael McGuire, an Assistant Professor in the Department of Computer and Information Sciences at Towson University. Mike and his team are developing the tools to store and access the data collected by the GLUSEEN earth observation network.


Logo for Institute for Data Intensive Engineering and Science

The Institute for Data-Intensive Engineering and Science

The SciServer development team is part of the Institute for Data-Intensive Engineering and Science (IDIES) at Johns Hopkins University. IDIES is a cross-cutting initiative designed to encourage collaboration among researchers interested in data-intensive science at JHU.