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1. 

   Adam Rumpf

   https://qubeshub.org/community/members/23700

2. 

   Andrea Mossey

   https://qubeshub.org/community/members/9252

3. 

   Jessie Oehrlein

   I am statistics & math faculty at Fitchburg State University with a background in atmospheric science and an interest in K-16 math modeling and data literacy education.

   https://qubeshub.org/community/members/8042

4. A BioGraphy of Life: How Graph Theory Makes Mathematics Recognizable, Relevant, and Research-Rich in Biology Education

   03 Jan 2018 | Teaching Materials | Contributor(s):

   By John R Jungck

   Interdisciplinary Science Learning Center at the University of Delaware

   Presentation given at the 2106 SIAM Conference on Applied Mathematics Education on graph theory.

   https://qubeshub.org/publications/241/?v=1

5. A BioGraphy of Life: How Graph Theory Makes Mathematics Recognizable, Relevant, and Research-Rich in Biology Education

   out of 5 stars 

   11 Oct 2016 | | Contributor(s):: John R Jungck

   This resource has been updated - find the current version here: https://qubeshub.org/publications/241Biologists use graphs extensively in ecology, evolution, genetics, developmental biology, and biochemistry: phylogenetic trees, food webs, pedigrees, genetic networks, metabolic pathways,...

6. 

   Tony Sena

   - M.S., COMPUTER SCIENCE (Distributed and Parallel Computing), from Northeastern University, Boston, MA- M.S., EARTH SCIENCE (Parallel Computing applied to Geophysics), from Massachusetts Institute...

   https://qubeshub.org/community/members/1506

7. A quick tour of IONTW

   out of 5 stars 

   30 Jan 2015 | | Contributor(s):: Winfried Just, Ying Xin

   In this module we guide you through some of the capabilities of IONTW. Highlights include the types of networks supported, setting up various types of models of disease transmission, observing the resulting dynamics, and collecting statistics on the outcomes. Along the way, the module also...