Amplifying CURE Faculty Mentoring Network: Fall 2018 Application
Apply by 30 August 2018. Selection notification will occur by 7 September.

Are you interested in incorporating full data analysis projects into your classes? Do you have a CURE data set you need support analyzing and interpreting? Apply now to join us for the fall 2018 Passion-Driven Statistics/QUBES Faculty Mentoring Network (FMN). Participants in this FMN will plan and conduct quantitative analyses using large data sets and research questions of their choosing. Accepted applicants will create an educational module for their unique biology topic. While doing this, they will participate in weekly virtual sessions, receive support for conducting analyses on their chosen platform (i.e. SAS, R, Stata, Python or SPSS) and collaborate with others in the network. Early career participants are especially encouraged to apply.
 
More information on educational resources using Passion-driven Statistics can be found here: http://passiondrivenstatistics.com/

Commitment:

- Participants will conduct a data-centered project of their choosing with data from a CURE and prepare a corresponding educational module for their students.
- Attend 1-hr online meetings once per week for 6 weeks, September through October; day/time of meeting will be determined by participant schedules
- Participate in review and feedback of FMN colleagues' materials
- Contribute modifications or new content for posting on QUBESHub

Benefits of participation:

- One-on-one statistical and statistics platform consulting as needed.
- Leave this FMN with a project-based research module for use in your classroom.
- Participants will be listed as authors on the material where they make significant contributions on the QUBESHub website.

Visit https://qubeshub.org/community/groups/passiondrivenstatistics_fmn for more information.  

Questions?  Contact Lisa Dierker <ldierker@wesleyan.edu>

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First Name: *
(As you would like it to appear on your name tag)
Last Name: *
Email address *
Institution and State: *
Department *
Type of Institution *
Title/Position *
Years teaching *
What type of data set will you be working with during this FMN? How many observations? How many variables? What types of variables?
What is the research question you hope to explore (should include one independent and one dependent variable)?
In what course(s) are you hoping to implement a data analysis project?
What statistical platform will you be using?
Describe your experiences using data in your teaching. Include challenges you have faced and strategies you have used to engage your students in working with data. (250 words max)
If accepted, I agree to... *
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Have you previously participated in a QUBES FMN? *
How did you hear about the FMN opportunity? *
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