Join Us at the Great Minds in STEM (GMiS) Conference
Since 2015, CAHSI has partnered with the Great Minds in STEM (GMiS) conference to provide students with an inspiring and enriching experience for students. This annual event focuses on student growth and creating valuable connections, providing opportunities for career exploration and learning about internships in computing and other STEM fields.
CAHSI’s involvement in the conference features a range of technical and professional development sessions designed to engage faculty, students, industry leaders, national laboratories, and key collaborators. The conference showcases effective and promising practices, facilitates connections, prepares students for success in higher education and careers in computing. It also highlights strategies that address the advancement of Hispanics in computing.
By attending, you’ll have the chance to connect with CAHSI leaders, fellow students, and the broader STEM community, making it an excellent opportunity for both personal and professional development.
GMIS FEATURED OPPORTUNITIES
Research Poster Competition
Each year at the GMiS Conference, college students have the opportunity to showcase their latest research findings through a poster presentation to STEM professionals. GMiS Research Poster Competition guidelines can be found here once available.
SPONSORSHIP OPPORTUNITIES FOR INDUSTRY PARTNERS
Each year at the GMiS Conference, CAHSI organizes a variety of technical and professional development sessions for students as part of the CAHSI Summit. These sessions cover topics ranging from cybersecurity and data analytics competitions to specialized programs for the Latinas+ community.
To learn more about sponsoring specific sessions and ways your company can engage with CAHSI students and faculty, please contact Veronica Carrillo ([email protected]). You can also explore sponsorship opportunities by reviewing the CAHSI offerings starting on page 19 of the GMiS Conference Brochure.
This material is based upon work supported by the National Science Foundation under Grant HRD-1834620 and No. 1551221. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.