Register for the Next Virtual Undergrad Town Hall: Big Messy Data – Looking for the Signal in Noisy and Biased Data on October 4

Speaker: Alexandra Mileou

Research Presentation: Big Messy Data: Looking for the Signal in Noisy and Biased Data
Data is not only vast, but it is often imperfect, conflicting, and untrustworthy, leading to flawed analyses and results that can be misleading. This presentation will highlight the impact of imperfect data on our society and discuss tools that derive diagnoses for data errors and tools for detecting biases in data-driven processes.

Mentor Presentation: How to Fail!  (A Guide to Anticipating and Overcoming Failures)
Failures are inevitable and happen to everyone.  This presentation will discuss personal experiences and will offer reflections on navigating various types of failures from the perspectives of research, graduate school, and academia in general.  Our ultimate goal is to embrace our failures, learn to expect them, accept them, and transform them into opportunities for growth.

Join us October 4th at 5:00pm ET
Register Today

iAAMCS Releases Guidelines for Successfully Mentoring Black/African-American Computing Sciences Doctoral Students

These guidelines were established to articulate successful strategies for mentoring African-American doctoral students in Computing Sciences (CS). iAAMCS defines “student mentoring” as the process of supporting, encouraging and guiding students’ academic and social progress with the goal of facilitating career and personal development. Grounded in project-based results and similar empirical research, the following guidelines emerged: (1) recruit strategically, (2) establish community, (3) foster a research culture, (4) provide holistic advising, (5) provide funding and (6) promote professional development. iAAMCS hopes that institutions, departments and faculty use these guidelines to bolster the participation of African-American students pursuing doctoral degrees in CS.

Although the iAAMCS Guidelines serve as best practices for mentoring African-American students in computing, these strategies are useful for optimal mentoring all students.

Click here to download a pdf of the guidelines.

Nominations Open for CRA Distinguished Service and A. Nico Habermann Awards: Due December 7

The CRA Distinguished Service Award is presented to a person or multiple people who have made an outstanding service contribution to the computing research community. The CRA A. Nico Habermann Award is presented to a person or multiple people who have made outstanding contributions aimed at increasing the numbers and/or successes of underrepresented groups in the computing research community.

CRA-W Welcomes Alejandra Guzman

CRA has recently hired Alejandra Guzman as a program associate. In this role, Alejandra supports CRA and CRA-W program activities with meeting planning, workshops, outreach activities, and committee support.

Alejandra graduated from Brown University in 2015 with an Education Studies degree. During her undergraduate career, she was deeply involved with student organizations that supported underrepresented student communities such as first-gen, low income, etc.

She has continued that work in her professional career as she supports disenfranchised students, particularly in STEM fields. Before joining CRA, Alejandra promoted computer science learning through Code Success, a Google-sponsored program at the National Society of Black Engineers (NSBE), which focused on enhancing NSBE members’ CS technical skills as well as professional skills to ensure they were job ready upon graduation. In her free time, Alejandra enjoys spending time with her family, reading, running and playing with her cat.

Congratulations to Ayanna Howard – 2018 Richard Tapia Award Winner

CRA and CRA-W Board Member Ayanna Howard was recently named the recipient of the 2018 Richard A. Tapia Achievement Award for Scientific Scholarship, Civic Science and Diversifying Computing from the Center for Minorities and People with Disabilities in Information Technology (CMD-IT). The Richard A. Tapia Award is awarded annually to an individual who demonstrates significant research leadership and strong commitment and contributions to diversifying computing.

Register for the Next Virtual Undergrad Town Hall – Exploring NLP Techniques to Help Build Medical Decision Support Systems: July 26

Speaker: Sanjana Sahayaraj

Research Presentation: Exploring NLP Techniques to Help Build Medical Decision Support Systems

Natural Language Processing research is intense. But there’s still a lot of gaps that need to be filled and automated techniques that need to be developed when it comes to processing textual data generated during medical treatments. Examples of such documents are discharge summaries, pathological reports, etc., and we still need to develop robust techniques to extract useful information from these documents to arrive at useful answers and insights. These insights can in turn help doctors plan their course of action and make decisions.

Join us July 26th at 5:00pm ET