CRA-WP Projects

Our projects provide mentoring and support for women, underrepresented minorities, and persons with disabilities at every level of the research and education pipeline. The great success of the following CRA-WP projects is due to the quality of people who serve on the committee and as project leaders.

Collaborative Research Experiences for Undergraduates (CREU)

The CREU program is an undergraduate research program that provides research stipends to teams of students working on research projects under the guidance of a mentor at their home institutions.

Distributed Research Experiences for Undergraduates (DREU)

The DREU program aims to increase the number of undergraduate women and members of underrepresented groups in computing research. DREU program participants are matched with a faculty mentor for a summer research experience at the faculty member’s home institution.

CRA-WP GHC Research Scholars

The GHC Research Scholars program brings undergraduates to the annual Grace Hopper Celebration. The purpose of this program is to provide attendees an unique experience, providing them a mentor, networking opportunities, and advising.

Virtual Undergraduate Town Hall Series

The Virtual Undergraduate Town Hall Series (Webinars), provides a virtual mentoring event for all students and faculty interested in learning about current CS research. Students have the opportunity to ask distinguished computer scientists any questions they might have about research as well as graduate school.

Scholarships for Women Studying Information Security (SWSIS)

ACSA and Hewlett-Packard (HP) provide scholarships to women studying for their Bachelor’s and Master’s degrees in fields relating to Information Security. These $10,000 scholarships provide assistance to women at formative stages in their careers.

Outstanding Undergraduate Award

This award program recognizes undergraduate students in North American universities who show outstanding research potential in an area of computing research.

This material is based upon work supported by the National Science Foundation under Grant Number: 1246649, 1310792, 1504243. 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.