Find information on common questions and issues.
Check on the status of your correspondences with members of the QUBES team.
2014 QUBES Minisymposium at the Seventh International Symposium on Biomathematics and Ecology: Education and Research
03 Jan 2018 | Teaching Materials | Contributor(s):
By Drew LaMar1, Carrie Diaz Eaton2, Jeremy M Wojdak3, DorothyBelle Poli4, Bob Sheehy3, Sam S Donovan5, Kristin Jenkins6, Tom Gower7
1. College of William and Mary 2. Unity College 3. Radford University 4. Roanoke College 5. University of Pittsburgh 6. BioQUEST 7. North Carolina State University
Collection of presentations that were part of a minisymposium at the Seventh International Symposium on Biomathematics and Ecology: Education and Research in 2014.
2015 BEER Minisymposium: QUBES: Online community and resources for quantitative biology education
By Carrie Diaz Eaton1, Drew LaMar2
1. Unity College 2. College of William and Mary
Presentations included in a minisymposium at the Eighth International Symposium on BEER, Illinois State University, Normal, IL
2015 Quantitative Biology Education Summit
By Kristin Jenkins1, Sam S Donovan2, Tanya Dewey3, Tom Gower4, Drew LaMar5
1. BioQUEST 2. University of Pittsburgh 3. Colorado State University and the Animal Diversity Web (animaldiversity.org) 4. North Carolina State University 5. College of William and Mary
Abstract for a meeting, 2015 Quantitative Biology Education Summit.
2015 SMB Minisymposium: Topics in Biomathematics Education
04 Jan 2018 | Teaching Materials | Contributor(s):
By Elsa Schaefer1, Dorothy Wallace2, Carrie Diaz Eaton3
1. Marymount University 2. Dartmouth College 3. Unity College
Collection of presentations given at the 2015 SMB Minisymposium: Topics in Biomathematics Education
2016 SIAM ED: Exploring Frameworks for the Teaching of Modeling
Presentations included in a Minisymposium at the 2016 SIAM Conference on Applied Mathematics Education
50 Years of Data Science
30 Oct 2018 | Teaching Materials | Contributor(s):
By David Donoho
This paper reviews some ingredients of the current “Data Science moment”, including recentcommentary about data science in the popular media, and about how/whether Data Science isreally different...
A BioGraphy of Life: How Graph Theory Makes Mathematics Recognizable, Relevant, and Research-Rich in Biology Education
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.
A collaborative approach to quantitative biology course reform: It's better than doing it all by yourself
By Jeremy M Wojdak
This is the abstract of an oral presentation given at the Society for Mathematical Biology Annual Meeting in Atlanta, GA in 2015.
A Framework for Modeling to Encourage Interdisciplinary Conversations
02 Jan 2018 | Teaching Materials | Contributor(s):
By Carrie Diaz Eaton
Presentation given as part of a minisymposium at SIAM 2016 on interdisciplinary approaches to modeling.
20 Dec 2017 | Teaching Materials | Contributor(s):
A Framework for Teaching Modeling to Biologists
By Drew LaMar
College of William and Mary
Abstract for presentation at SIAM ED 2016 on modeling
21 Dec 2017 | Teaching Materials | Contributor(s):
A New Hub for QUBES based on the HUBzero Platform
By Michael McLennan
Presentation on QUBES and Hubzero given at the Seventh International Symposium on Biomathematics and Ecology: Education and Research 2014, Claremont, CA
A Quick Guide to Teaching R Programming to Computational Biology Students
22 Oct 2018 | Teaching Materials | Contributor(s):
By Stephen Elgen
University of Cambridge
An introduction from an experienced educator in teaching R to computational biology graduate students.
A Tough Choice in Watershed Management
08 May 2020 | Teaching Materials | Contributor(s):
By Ann E Russell
Iowa State University
In this Team-based activity, students work in teams, playing the role of natural resource managers who must decide in which region to invest limited funding for nutrient reduction in streams....
A Very Basic Tutorial for Performing Linear Mixed Effects Analyses: Tutorial 2
20 Oct 2018 | Teaching Materials | Contributor(s):
By Bodo Winter
University of California, Merced
The second of two tutorials that introduce you to linear and linear mixed models. This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models.
Actually, Data Science CAN Be Accessible: Barriers to inclusion of people with disabilities in the data science workforce pipeline and ideas for lowering them
16 Jun 2020 | Teaching Materials | Contributor(s):
By Andrew Osborne Hasley
Will draw on personal experience as a student and professional with a severe visual impairment and knowledge gained from colleagues and friends during ongoing efforts in the area of accessible...
31 Mar 2019 | Teaching Materials | Contributor(s):
Adapting InTeGrate Materials for Online Courses
22 Aug 2018 | Teaching Materials | Contributor(s):
By Tara Holmberg
Northwestern Connecticut Community College
As part of my second mentoring of the InTeGrate FMN for QUBES, I chose to focus on my conversion of several resources to an online course format.
Addressing Complex, Emergent Risks in 21st Century Natural-Human Systems
21 Jun 2018 | Teaching Materials | Contributor(s):
By Jordan Kern
University of North Carolina - Chapel Hill
Presentation on wicked problems in natural-human systems