Empowering Our AUC Innovators

The AUC Data Science Initiative designs and implements programming to support faculty research and curriculum development and to grow student research and learning capabilities. 

PreFreshman Experience: (AUC Instructors Wanted)

We are currently seeking AUC faculty and staff researchers along with research mentors to help instruct and facilitate our summer 2022 PreFreshman Experience (PFx).  This years theme is Keeping Communities Safe through Data, and projects will focus on current real-world problems related to cybersecurity such as reducing crime, human exploitation, hacking or phishing scams, cyber theft, health information systems and devices, and personal data sharing.

PFx Dates: Held virtually on July 18-22, 2022

We are seeking:

    • Instructors: AUC faculty and staff researchers to apply to lead project groups
    • Research Mentors: AUC rising juniors, rising seniors, and graduate students

Deadlines for Instructors & Research Mentors is June 1, 2022

Mini-Grant Program 2022

The AUC Data Science Initiative invites Affiliates to apply for mini-grants to stimulate data science-related research and curriculum development productivity.  If you are not an Affiliate, please inquire with AUC DSI. The mini-grants aim to strengthen research and inform teaching.

The Mini-Grants Program has four tracks:

Track 1: Curriculum Development

Track 2: Research Development

Track 3: Summer Program Development

Track 4: Academic Year Development

Tracks 1-4 are currently OPEN for new applicants.

Track 1, 2, 3 Deadline: April 1, 2022

Track 4 Fall Deadline: April 1

Track 4 Spring Deadline: June 1

Request for Proposals: AUC DSI Mini-Grant Program 2022

Current Awardees: Mini-Grants Program Awardees

Discover our Affiliate Program

The Atlanta University Center Data Science Initiative (AUC DSI) Affiliate Program supports AUC faculty and staff who are actively engaged in advancing data science research or data science teaching.

Discover the unparalleled benefits of becoming an Affiliate today!  Click to view our current Affiliates.

Download Affiliate Guide: Affiliate_Program.PDF

Travel and Training

The Travel and Training Support Program aims to increase the participation and engagement of AUC students, faculty, and staff in data science. Support for virtual conferences may be included. Click below for more information.

2022 Virtual Summer Workshops

We invite AUC faculty, staff, and graduate students to participate in interactive, virtual data science workshops. Topics are chosen to upskill and expand knowledge in various areas of data science, coding, data manipulation, machine learning, AI, and analytics.

This year we are offering many exciting workshops designed to provide a wealth of challenging skill development.

Learning and Research Communities

Applications for LRC funding are reviewed on a rolling basis.  To view our current LRC members and topics click here.

To learn more, see below!

We offer AUC faculty, staff, and graduate students the opportunity for peer-led, cohort-based groups to engage on a particular topic in data science or a data science-related field. The Learning and Research Communities (LRC) experience intends to enhance each participant’s knowledge and expertise in data science in a structured learning community that aims to enhance teaching and production of scholarship.

Faculty Recruitment

The AUC Data Science Initiative has allocated funds to work collaboratively with our AUC member institutions to recruit and hire faculty who have expertise in data science or data science-related fields. These funds are intended primarily to assist with the hiring of data science faculty at an AUC member institution and augment not supplant existing support for faculty recruitment and hiring.

“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