Home > Other Resources > For Authors > Mentoring Initiative

Mentoring Initiative

*Note 6.29.2021: The SFWA Mentoring Initiative is currently on hiatus while the team investigates and implements some tools to improve the process. There is no firm ETA for the next round of mentor/mentee matching, but we are hopeful that matching will return in late Autumn, or early Winter. Please check this space for more information soon. 

The SFWA Mentoring Initiative is an all-volunteer service provided free of charge, which aims to connect emerging writers to each other and to established pros with the objective of providing community, sharing knowledge, and offering networking opportunities. It is focused on professional development rather than artistic development.

There are two distinct mentorship opportunities: one is a short term program we run at the Nebula Conference and occasionally at other conventions, which does not last beyond the conference. The other is the Career Mentorship Program, described below:

Mentorships are open to both Full and Associate SFWA members as well as to aspiring members. You do not need to be a member to participate as a mentor or a mentee, though the program does not guarantee a space for every applicant.

Open Mentee Application Period: TBD (targeting late Autumn, early Winter 2021)

We always accept applications for mentors and we encourage people to not self-reject.

The MENTOR application is always open.

Mentees will be chosen for this round in a weighted lottery, but the matches will still be made individually on the basis of application answers. Here’s the form for when it opens.

We ask that if you have had a successful match as a mentee in one of the previous matching rounds, you don’t apply again for the time being. If your match was dissolved or incomplete, we’re happy to match you again.

The mentor handbook is available here.

The mentee handbook is available here.

Please contact mentor@sfwa.org with any further questions.  Thank you for your patience as we continue to develop best practices.