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DataUp Program 2020 Cohort Applications Open in January 2020

The South Big Data Innovation Hub is excited to host the 2020 DataUp Program. DataUp will offer hands-on training for instructor teams at minority-serving institutions, community colleges, or 4-year liberal arts colleges. Priority will be given to hosts who can demonstrate the participation of faculty from diverse departments, or multiple institutions of the types listed above.

Interested? Learn more about the 2018 cohort’s experiences at the DataUp webpage.

iCompBio REU and Workshop Provides Training to Students and Faculty

In the week of July 29-Aug 2, 2019, more than 50 faculty and students from more 21 institutions participated in two R bootcamps at the University of Tennessee at Chattanooga (UTC). The iCompBio REU is supported by NSF Award 1852042,  REU Site: ICompBio – Engaging Undergraduates in Interdisciplinary Computing for Biological Research. The first bootcamp on data wrangling using R was taught by Hong Qin, a computational biologist at UTC. Materials for this R Data Wrangling bootcamp is available at a public GitHub repository https://tinyurl.com/UTC-R-camps2019. The second bootcamp, Electronic Health Records, was taught by Elvena Fong and Zhuqi Miao from the Center for Health Systems Innovation at the Oklahoma State University.

For discussion on research and education in bio big data, please join a LinkedIn group at https://www.linkedin.com/groups/12279083/

Participants from the first bootcamp on data wrangling using R taught by Hong Qin, a computational biologist at the University of Tennessee at Chattanooga (UTC). The bootcamp is supported by the NSF Big Data Spoke award, Integrating Biological Big Data Research into Student Training and Education.

Participants from the second bootcamp, Electronic Health Records, taught by Elvena Fong and Zhuqi Miao from the Center for Health Systems Innovation at the Oklahoma State University. The bootcamp is supported by the NSF Big Data Spoke award, Integrating Biological Big Data Research into Student Training and Education.

Biological REU

From May 27 to August 5, 2019, a group of 12 students participated in a 10-week Interdisciplinary Computing for Biological Research REU program at the University of Tennessee at Chattanooga. These undergraduate researchers are from Fisk University, Tuskegee University, Morehouse College, Norfolk State University, University of Virgin Islands, Tennessee Technological University, Rhodes College, Shippensburg University of Pennsylvania, the University of Tennessee at Chattanooga. The majors of these students include 3 Mathematics, 2 Chemical Engineering, 3 Biology, 1 Biochemistry, 2 Computer Science, and 1 Computer Engineering. The iCompBio19 includes a total of 8 faculty mentors 2019 that come from Computer Science, Mathematics, Biology, Geology, and Chemical Engineering.

All students presented their REU research results at a poster symposium on July 31.

The 12 student participants in the 10-week Interdisciplinary Computing for Biological Research REU program at the University of Tennessee at Chattanooga. The REU was supported by the NSF Big Data Spoke award, Integrating Biological Big Data Research into Student Training and Education.

The 12 student participants of the 10-week Interdisciplinary Computing for Biological Research REU program presenting their REU research results at a poster symposium on July 31. The REU was supported by the NSF Big Data Spoke award, Integrating Biological Big Data Research into Student Training and Education.

2019 PEPI-G Fellows Selected

The Program to Empower Partnerships with Industry and Government (PEPI-G) supports faculty members, research scientists, postdocs, and graduate and undergraduate students (rising juniors and seniors as of 2019) from the 16 states that comprise the South Big Data Regional Innovation Hub (South BD Hub).

2019 Fellows

James Stevenson is an undergraduate student at Northern Kentucky University and is currently pursuing his degree in Information Technology with his focus being Cybersecurity. He’s a technologist at heart and enjoys everything related to cyberinfrastructure, social cybersecurity, the internet of things, and data manipulation. His goals for his senior year of college are to gain professional experience in his career field and to develop his technical skills. This fellowship provided by the Big South Data Hub will allow him to reach these goals.

Rachel St Clair is a doctoral student at Florida Atlantic University studying Complex Systems and Brain Sciences. Rachel’s main focus centers in multi-modal, translational machine learning in complex systems and brain sciences. Her background in both medicine and biology helps structure the integration of machine learning models for both academia and industry applications. Previous work involves a variety of research fields including mental disorder diagnosis, epileptic mice investigations, and synthetic drug detection. Drawing from interdisciplinary experiences drives her current integrative research in deep learning proteomics, computer vision, and therapeutic XR platforms. Her future accomplishments aim to include advancements in advanced machine perception and general AI. Rachel notes, ‘working with others who care deeply for the evolution of computerized cognitive task and their role in making the world a safer place would be a defining historical moment in my career path’.

2019 Partner

The Department of Homeland Security – Advanced Research Projects Agency (DHS-ARPA) DA-E lab infrastructure consists of industry-standard servers and network gear, custom appliances built on the premise, and commercial and private cloud capabilities. 

DHS’ identified Priority Areas:

  • Human Trafficking – Examining social media to aid in the fight against human trafficking focusing on Non-Text Data, Automating Search and Scalability
  • Real-time Analytics for Multi-party, Metro-scale Networks (RAMMMNets) – Data associated with the Internet-of-Things presents challenges to the analytic environments that inform human decision making.
  • Other Topics – Faculty fellows may propose other research topics for consideration.