Knowledge Development Lab
Lab Overview
Data Science is a multidisciplinary field that utilizes statistics, data analysis, machine learning, algorithms, software, and computing systems to extract information, acquire knowledge, and gain insights into the underlying context from which data is generated. TAMIDS leads and supports the development of knowledge and expertise in Data Science (and related areas such as Machine Learning and Artificial Intelligence) through multiple programmatic and research activities.
- Sponsored research for the design, development, and delivery of professional training, including Infrastructure and programmatic support for knowledge development in center-level activities
- Design, development, delivery, and administration of for-credit education programs and courses in collaboration with academic units
- Support programs enabling faculty and students to develop new for-credit courses and training activities
- Consultancy on the development of education and training programs in Data Science and AI
Members
Dr. Nick Duffield
Director Division of Research TAMIDS Professor Department of Electrical and Computer Engineering
Drew Casey
Associate Director for Program Engagement Division of Research TAMIDS- [email protected]
- 979-845-6574
Snehashis Chakraborty
Research Engineer Division of Research TAMIDS
Dr. Krishna Narayanan
Associate Director for Education Initiatives Division of Research TAMIDS Professor Department of Electrical and Computer Engineering
Dr. Yalong Pi
Operational Data Science Lab Director Division of Research TAMIDS Associate Research Scientist Division of Research TAMIDS
Christi Retzer
Master of Science in Data Science Program Manager Division of Research TAMIDS
Dr. Jian Tao
Digital Twin Lab Director Division of Research TAMIDS Assistant Professor College of Performance, Visualization, and Fine Arts Visual Computing and Creative MediaInitiatives and Funding
Workshops in Data Science Foundations and Computational Practice
The week-long intensive workshop equips participants with diverse skills to enable their professional practice of data science. The target audience is organizations seeking to help their workforce develop knowledge and experience applying computational methods of data science. The workshop comprises a sequence of ten interactive, three-hour modules that integrate methodological exposition with data application through hands-on programming and computation using Python notebooks. Participants use open-source tools and libraries to develop proficiency and understanding of the essential methods of current data science and state-of-the-art topics.
Biomedical Data Science Online Training Program
This series of two-hour online sessions is aimed primarily at graduate students in the biomedical sciences, but others interested in the field are welcome to join. Sessions will couple the exposition of underlying principles with the engagement of session participants through online quizzes and hands-on exercises focused on developing computational competencies using R notebooks. The program also provides self-instruction materials on the R language and statistical foundations. Instructors are faculty experts in Data Science with specialization in session topic areas. Through the program, participants can:
- Engage Texas A&M faculty experts in a variety of data science domains.
- Expand knowledge of the R language in the areas of computation, systems, and statistics.
- Experience hands-on application of supervised and unsupervised statistical learning to biomedical data.
- Establish a foundation for understanding FAIR data management, algorithmic fairness, data ethics, privacy preservation, and regulatory requirements, including HIPAA compliance.
Data Science Primers
Primers in topics in Data Science and AI, and the R and Python programming languages, provide students with a self-paced study through videos and hands-on experience with Python and R notebooks.
[NSF 2024] NRT-AI: Enabling AI on the Fly, National Science Foundation #2345874, PI S. Banerjee, Co-PIs K. Butler-Purry, B. Mallick, N. Duffield, C. Patterson, 09/01/2024-08/31/2029, $3,000,000
[AFRL 2023] VICEROY for the NCAE-C South Central Region, DOD-Air Force Research Laboratory, PI J. Hamilton, Co-PIs N. Duffield, J. Garay, C. Lanclos, 09/01/2023-08/31/2024, $2,000,000
[LANL 2023] TRIAD ST&E: Professional Education Workshops in Data Science Foundations and Computational Practice, Triad National Security, LLC (for Los Alamos National Labs), PI N. Duffield, 07/24/2023-09/30/2023. $50,000
[NASA 2023] Data Science Equity, Access, and Priority in Research and Education (DEAP) Institute for Science Translation via Low-Resource Neural Machine Translation, NASA, PI Lijun Qian (PVAMU), Co-PI N. Duffield, X. Ye, W. Li (TSU), 04/01/2023-03/31/2026. $1,500,000 / TAMU $300,000
[THECB 2022] Accelerating Credentials of Purpose and Value Grant Program, Texas Higher Education Coordinating Board, PI S. Cambone, Co-PI N. Duffield, J. Geunes, L. Qian, 02/07/2022-09/30/2022, $413,070
[NIH 2021] IMSD at Texas A&M University: Initiative for Maximizing Student Diversity in Biomedical Sciences. DHHS-NIH-National Institute of General Medical Science, 02/01/2021-01/31/2022, PI Karen Butler-Purry. Co-PIs Ivan Rusyn, David Threadgill, Roland Kaunas, Dorothy Shippen, Weihsueh Chiu, Candice Langford, Nick Duffield (supplement PI). $75,757
[CP 2020] Certificate in Data Analytics for Petroleum Industry, ConocoPhillips, 2020–2024, PI N.G. Duffield, collaboration between TAMIDS, College of Arts & Sciences, College of Engineering, Mays Business School. $1,000,000
[US 2020] iDiscovery Workshop on Computational Data Science, 10/2020-09/2021, PI N. Duffield, $60,000.
[NSF 2019c] HDR Tripods: Texas A&M Research Institute for Foundations of Interdisciplinary Data Science (FIDS), National Science Foundation, Award 1934904, 10/01/2019-9/30/2022, PI Bani Mallick, Co-PIs Dilma Da Silva, Ron Devore, Nick Duffield, P.R. Kumar. Total $1,416,522
[NSF 2019b] CC* Team: SWEETER — SouthWest Expertise in Expanding, Training, Education and Research, National Science Foundation, Award 1925764, 09/01/2019-08/31/2023. PI D. Chakravorty; Co-PIs J. Browning, T. Cockerill, E. Hunt, D. Dugas; Co-I N. Duffield. Total $1,400,000
Publications
Shaun D. Hutchins, Kim Wright, Nick Duffield (2023), Application of a Retrospective Pretest-Posttest Design to the Evaluation and Continuous Improvement of Professional Development. Annual meeting of the Southwest Educational Research Association, San Antonio, TX. February 17, 2023.
Patterson, C., Harlin, J., Couri, D., Fowler, D., & Duffield, N (2021), Mentoring in Artificial Intelligence and Materials Science: Applying a New Doctoral Model, The Chronicle of Mentoring and Coaching, November 2021, pp 483-483
More
Find more information on the training opportunities TAMIDS offers.