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QUBES HappeningsView all
August 28–November 03
We are organizing a group of faculty interested in developing online video tutorials to enhance computational genomics education. Video is an effective tool for flipped and traditional classrooms because students can learn at their pace and explore course materials more deeply. Videos are especially effective in teaching computational skills where visual cues are important for students to develop intuitive understanding and computational thinking. This workshop aims to help faculty quickly develop their own video tutorials for computational genomics. Tentative topics include RNAseq and differential gene expression analysis, and data analysis/visualization using RStudio, but actual topics will depend on participant's interests.
For more information and to apply visit https://qubeshub.org/groups/genomicsvideos.
Registration: Applications are due August 1, 2017
Contact: If you have questions please feel free to contact Hong Qin
August 28–December 08
The Life Discovery - Doing Science Biology Education Conference (LDC), Data Nuggets, and Quantitative Undergraduate Biology Education and Synthesis project (QUBES) are pleased to offer a unique networking and professional development opportunity from September – November 2017 for faculty interested in bringing authentic research data into high school and undergraduate classrooms as part of the LDC Travel Awards funded by NSF.
Synopsis:
Faculty will implement one or more selected Data Nuggets in their AP biology, introductory biology, or ecology courses. Originally developed as a collaboration between K-12 teachers and scientists, Data Nuggets are now widely used in K-16 classrooms. They are free activities that bring authentic research and data into the classroom, revealing to students how the process of science really works and increasing the connections between scientists and the public.
Informational Webinar:
For more information, attend our Information Webinar on June 30, 2017 at 1:00pm EST. Register for the webinar by June 26, 2017.
For full information, please visit https://qubeshub.org/groups/ldcfmn.
Registration: Applications are due July 10, 2017
Contact: If you have questions please feel free to contact Gaby Hamerlinck.
September 15, 2017–April 27, 2018
This group will share and implement hands-on (i.e. manipulative) activities that teach quantitative biology (e.g., disease modeling) using active-learning exercises. The activities can be adapted to any level from high school through graduate courses.
Our approach lends guidance and support as you implement hands-on activities in your course. Simply put, you will have a group of peers and experts with whom to explore new exercises, try them, and discuss your experiences.
For more information and to apply visit https://qubeshub.org/groups/beanbagbiology
Registration: Applications are due September 15, 2017
Contact: If you have questions please feel free to contact Holly Gaff.
November 01, 2017–May 31, 2018
Many scenarios in the life sciences can be modeled with discrete difference equation models which simulate how quantities change over evenly spaced intervals. The construction and analysis of models of discrete difference equations do not require knowledge of calculus, and thus make excellent exemplary models in courses where the typical student may not be proficient in calculus. In this Faculty Mentoring Network (FMN), participating biology faculty will engage in converting the materials developed for an undergraduate freshman level course on discrete mathematical modeling for the life sciences (including readings, lecture slides, and computer lab projects) into single modules (separated from the developmental sequence of a math course) to be utilized in the participating faculty's Spring 2018 biology courses.
For more information and to apply visit https://qubeshub.org/groups/discretefmn_f2017.
Registration: Applications are due September 30, 2017
Contact: If you have questions please feel free to contact Erin Bodine.
QUBES Featured
Conference Theme - Data: Discover, Investigate, Inform
When: October 19-21, 2017
Where: University of Oklahoma
The study of organisms presents myriad forms, visualizations, and uses of data that stimulate new questions and engender new understanding of life on earth. The 4th Life Discovery - Doing Science Biology Education Conference invites proposals that create environments and opportunities for learners to Discover, Investigate and Inform with Data.
Strengthening quantitative skills. Today, we have access to an amazing array of data including numeric, geospatial, specimen, images and sounds! We also have the technologies to analyze and visualize more data than ever before. It's time to go beyond the bar chart!
Join us in this exciting conference with your best ideas!
We welcome your proposal for a workshop or short presentation.
DEADLINE: JANUARY 15, 2017 (extended)
Organized By:
Life Discovery Partners | ldc@esa.org | 202-833-8773 | www.esa.org/ldc
Ecological Society of America | Botanical Society of America
Society for the Study of Evolution | Society for Economic Botany
The Earth Educators' Rendezvous (July 17-21) registration is now open and the topics for morning workshops and afternoon events are finalized.
Check out the program here: http://serc.carleton.edu/earth_rendezvous/2017/program/index.html
Many of us have interests in multiple areas of Earth Science education in addition to our discipline-specific interests, and the Rendezvous is designed to allow exploration of these areas in ways not possible during conventional scientific meetings.
The QUBES Fall 2016 Newsletter is up! Read about what QUBES and partners have been up to, information on upcoming Faculty Mentoring Networks, and an update on activities of participants from the 2016 Summer Institute.
QUBES Blog 
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What is this program?
This group will share and implement hands-on (i.e. manipulative) activities that teach quantitative biology (e.g., disease modeling) using active-learning exercises. The activities can be adapted to any level from high school through graduate courses.
Why should I apply?
Our approach lends guidance and support as you implement hands-on activities in your course. Simply put, you will have a group of peers and experts with whom to explore new exercises, try them, and discuss your experiences.
Announcing a new peer faculty development network for instructors of life science kicking off in August! This QUBES FMN will be completely virtual (no conference attendance required) and absolutely free. This peer development network will work with each other as well as applied mathematician mentors to adapt mathematical modeling activities for the biology classroom at all levels. See here for more information: https://qubeshub.org/groups/discretefmn_f2017.
The Ecological Society of America and its partners are pleased to announce the Life Discovery Conference Travel Awards of up to about $1,000 are available for faculty to participate in the 4th Life Discovery – Doing Science Education conference (LDC; Oct. 19-21, 2017). The goal of the awards is to increase the diversity of participants and institutions at the conference. An exciting opportunity associated with the Travel Award is the option to also participate in the LDC-QUBES Faculty Mentoring Network (FMN)...
These fields often require students to learn biological concepts, computational concepts, and software all simultaneously, and students often progress at really difference rates. Using standard didactic instruction often falls flat, because only a small number of your students might be ready for exactly what you say, when you say it.
In the last couple of weeks, I have been traveling to workshops and conferences, experiencing the landscape of research at the interface of mathematics and life and environmental science.
The Quantitative Undergraduate Biology Education and Synthesis (QUBES) project is beginning a research project that may be of interest to you regarding how participation in a unique long-term online model of professional development (PD) impacts the adoption of scholarly approaches to teaching.
We would like to invite you to participate in this research study by participating in a survey about your experience with professional development. If you are interested, please click on the following link: https://utk.co1.qualtrics.com/jfe/form/SV_6r6z6yVlGryUwJL
A large part of science can be described as the process, through observation and measurement, of extracting information from the world in the form of data. Even with in-silico models, we construct analytic information through mathematical analysis, or record "measurements" on resulting simulations. Statistics or machine learning can then be used on the results or data to extract relevant information.