EDSIN's Purpose

Growth in large ecological datasets and large environmental synthesis projects has resulted in the need for a diverse workforce with technical data science skills. A variety of organizations support underrepresented groups entering the data science field through training, mentoring, and networking opportunities. However, many of these initiatives have been developed in isolation, limiting opportunities for an exchange of ideas and lessons learned.  The Environmental Data Science Inclusion Network (EDSIN) is intended to strengthen initiatives across existing alliances and organizations to recruit and retain individuals from underrepresented groups in data science careers.

Who Should Join

  • Researchers focusing on recruitment and retention of underrepresented groups in STEM fields, quantitative biology education, or related areas
  • Project leaders for STEM programs serving underrepresented groups
  • Employers committed to hiring and retaining a diverse data science workforce
  • Mentors with experience working with students and early career professionals underrepresented in STEM 
  • Evaluators doing work with STEM education programs
  • Educators who teach data science skills to learners of all ages
  • Anyone with strong interest in being part of these discussions and the developing network 


How to Participate

EDSIN was designed to allow people to participate at the level they find interesting. You can browse collated resources on inclusion in the Collections, join the conversation in the Forums (find a collaborator or new funding opportunities in the Upcoming Opportunities forum), and contribute to the future of EDSIN by joining a working group.  

Join the conversation by clicking “Request Group Membership” in the upper right hand corner of this page once you are logged in. To create a QUBESHub account, click here


The EDSIN conference is based upon work supported by the National Science Foundation under Grant No. 1812997. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.