January 02–May 15
The Quantitative Undergraduate Biology Education Synthesis (QUBES) Project and the Ecological Society of America (ESA) are inviting applications for two upcoming Faculty Mentoring Networks (FMNs). These online communities are professional development opportunities where participants work collaboratively to discover new teaching materials, pedagogical techniques, and quantitative content.
All faculty are welcome. We are actively seeking participation from faculty teaching at all undergraduate levels at diverse institution types and serving diverse student populations, including non-science majors.
Benefits to Participants in Both Networks
- Support for further development of pedagogical material focused on bringing research data into the biology/ecology classroom
- Access to peer mentors on lecture/classroom/lab effective tips and strategies in small group virtual meetings every two weeks
- Recognition as an ESA Education Scholar upon completion of all network requirements.
Check out this ESA blog about the 2016 ESA Education Scholars.
The Spring 2017 ESA Data Discovery FMN is seeking applicants who are interested in adapting existing Teaching Issues in Ecology and Evolution (TIEE) modules for use in their Spring 2017 courses. Faculty participants will implement two selected modules with a focus on providing students with the quantitative skillset needed to ‘scale up’ to large ecological datasets. This FMN will begin in January and run through the Spring semester. For more information on the selected modules and to apply, please visit https://qubeshub.org/groups/datadiscovery_2017. Applications are due by November 28th.
Questions? Contact Gaby Hamerlinck at email@example.com.
The new DIG into Data for the Biology Classroom FMN is seeking applicants who have experience in bringing data-driven activities into the introductory biology or ecology classroom and are interested in further refining their own teaching modules or developing new ones. Our data partners include DryadLab and the National Ecological Observatory Network (NEON). As a group, participants in this network will work towards developing polished teaching resources suitable for submission as a teaching data set to a special issue of TIEE. Please visit the Data Incubator Group QUBES website for more details and to apply (https://qubeshub.org/groups/dig). Applications are due by December 2nd.
Questions? Contact Kaitlin Bonner at firstname.lastname@example.org or Kristine Grayson at email@example.com.
There is a webinar for more information on both Faculty Mentoring Networks on November 10, 2016 at 4:00pm EST. Register for the webinar by November 7 at https://attendee.gotowebinar.com/register/9007215025525936644.