Human-Augmented Analytics Group is a publication-based data science recruitment and management resource founded by PhD student, Breanna Shi in May 2024. HAAG was designed to simplify interdisciplinary collaboration between scientists in computational and non-computational fields. Trust and relationships are integral to the philosophy of the HAAG method and we are proud to uphold a 100% faculty satisfaction and retention rating [last surveyed August 2024]. HAAG works on an open-enrollment model that allows faculty to affiliate their on-going projects with our team of graduate researchers and network of research management services. Additionally, the HAAG model empowers graduates students to take a greater ownership over their research collaboration and provides non-computational scientists greater avenues to learn data science in a supportive active learning environment.
Learn more about what’s happening across HAAG and specific research project updates at more user friendly Georgia Tech sites.