CURRENT PROJECTS

Innovations are Happening

Check back frequently as the AUC Data Science Initiative is constantly innovating with high-performance projects and programs to develop and strengthen the data science workforce and community.

Data and the African Diaspora NSF Workshop (May 16-17-18)

The three-day discovery workshop Enhancing Data Science Education by Leveraging Data Sets from the African Diaspora will virtually convene a cohort of 40 participants tasked with interacting to explore and discover key topics and questions that will inform future research and collaboration around how to better practice culturally relevant data science education at the undergraduate level. On each day, sessions will convene from 11:00 am to 4:00 pm ET with allowance for a 15-30 minute "early tech start" to troubleshoot technology and accessibility issues.

This material is based upon work supported by the National Science Foundation under Grant No. 2136382. 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.

NSF REU Site: Application of Data Science to Chemistry

Chemistry majors and other STEM (Science, Technology, Engineering and Math) majors interested in the interface between materials chemistry and data science are encouraged to apply to participate in a 9-week undergraduate research program hosted by Clark Atlanta University and Atlanta University Center Data Science Initiative. Participants will gain broad perspectives by participating in a dynamic research environment while working with a faculty mentor at one of the five research groups consisting of one chemistry and one data science faculty member. The program also includes several professional development activities, REU seminars with faculty and research scientists, and an end-of-program symposium.

 

Participants will receive a stipend of $5,400 for the 9-week program, a travel allowance, and housing on the Clark Atlanta University campus. In addition to this, the HarvardX’s Data Science certificate and GRE preparation costs for participating students will be covered under the program. Participants must be U.S citizens or permanent residents of the U.S. and currently enrolled in an undergraduate degree program at a U.S. college or university (be rising sophomores - seniors).

Sloan Foundation Grant: ODxOS

The AUC Data Science Initiative was awarded a $249,994 grant from the Sloan Foundation to implement an “AUC-Sloan Open Source Software Development Postbaccalaureate Program,” also referred to as “Open Doors by Open Source“, in was executed in the summer of 2021. 

As open source software development is essential to the collaborative nature of data science, this Program will strengthen efforts to develop a well-skilled data science workforce.

This Program trained Black computing graduates to prepare them for competitive positions at high-tech companies, created course components to embed software development into the undergraduate curriculum, shared promising practices with the AUC institutions and other HBCUs, and has helped diversify the high-tech field. 

SAP and Coca-Cola: Virtual Computer Lab

 SAP and Coca-Cola have partnered together with the AUC Data Science Initiative  and the AUC Robert W. Woodruff Library to create the AUC Virtual Computer Lab which will soon be available to all students and faculty at AUC member institutions: Clark Atlanta University, Morehouse College, Morehouse School of Medicine, and Spelman College.

The AUC Virtual Computer Lab will be the cornerstone of data science across the AC and allow students to access software, technology, and learning tools they need to become leading data scientists from anywhere, and on any device. The Lab will facilitate the use of computational platforms used by various disciplines to carry out data science work. The AUC Data Science Initiative in particular, will be utilizing the Virtual Computer Lab to teach its first course, “Data and the African Diaspora.”

 

Working Groups

The AUC Data Science Working Groups are made up of faculty and staff to aid in elevating data science research, scholarship, and teaching at the AUC member institutions. The Working Groups are designed to facilitate AUC-wide collaborations to increase data science knowledge, awareness, and best practices. 

“Data analytics has become the vital skill for business students in today’s environment. Recruiters emphasize it constantly and we are hearing from our alumni and interns returning from the summer that they need to strengthen these skills. It does not matter which area of business you plan to enter; you need to know how to understand and analyze data.”

— Dr. Keith Hollingsworth, Department of Business Administration, Morehouse College