Administrative core ABSTRACT The Administrative Core will be the central hub for all activities of the Texas A&M University Superfund Research Center. It will be organized around four key functions that will enable it to be an effective and nimble coordinator of the proposed research, outreach, training, and translation activities: (i) administration and fiscal management (Administration Function), (ii) integration of cross-disciplinary research (Integration Function), (iii) facilitating and maintaining connections with stakeholders (Outreach Function), and (iv) quality management (Quality Management Function). This Core will be physically located in the Department of Veterinary Integrative Biosciences at Texas A&M University in College Station, TX. The Core will be led by Center Director (Ivan Rusyn) and Associate Director (Anthony Knap), and include an administrative manager and a fiscal manager. The Core will coordinate Center leadership and activities with two committees. The PIs of the projects and cores in the Center will form a Scientific Steering Committee, which will meet monthly and be responsible for: (a) planning Center activities; (b) evaluating progress and considering solutions for challenges; (c) improving Center integration; (d) overseeing personnel matters; (e) assessing quality management/assurance; (f) organizing the annual retreat; (g) considering publication and data release questions; and (h) evaluating community engagement, training, and research translation activities. Oversight of the Center will be the responsibility of an External Advisory Committee, which will meet annually to perform program evaluation of the Center and determine whether research, outreach, training, and translation goals and objectives are being met. A diverse group of experts in their respective disciplines representing academia, federal and state governmental agencies, industry, and non-governmental organizations will comprise the External Advisory Committee. Appropriate procedures to ensure excellence of research, support, outreach, community engagement, translation, and training activities, and the synthesis of findings and outputs from research projects and cores towards addressing the central theme of the Center have been devised to create a clear chain of communication and responsibility in the Core and across the entire Center.

Public Health Relevance

Administrative core NARRATIVE The Administrative Core will enable the Texas A&M University Superfund Research Center to be effective in carrying out the proposed research, outreach, training, and translation activities. It will ensure seamless administrative and fiscal management, integrate research across many disciples, facilitate and maintain connections with stakeholders, and assure quality and reproducibility of the research in the Center

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Hazardous Substances Basic Research Grants Program (NIEHS) (P42)
Project #
5P42ES027704-04
Application #
9903366
Study Section
Special Emphasis Panel (ZES1)
Project Start
Project End
Budget Start
2020-04-01
Budget End
2021-03-31
Support Year
4
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Texas A&M University
Department
Type
DUNS #
020271826
City
College Station
State
TX
Country
United States
Zip Code
77845
Ezzat, Ahmed Aziz; Jun, Mikyoung; Ding, Yu (2018) Spatio-temporal asymmetry of local wind fields and its impact on short-term wind forecasting. IEEE Trans Sustain Energy 9:1437-1447
Hendricks, Marccus D; Meyer, Michelle A; Gharaibeh, Nasir G et al. (2018) The development of a participatory assessment technique for infrastructure: Neighborhood-level monitoring towards sustainable infrastructure systems. Sustain Cities Soc 38:265-274
Grimm, Fabian A; Blanchette, Alexander; House, John S et al. (2018) A human population-based organotypic in vitro model for cardiotoxicity screening. ALTEX 35:441-452
Marvel, Skylar W; To, Kimberly; Grimm, Fabian A et al. (2018) ToxPi Graphical User Interface 2.0: Dynamic exploration, visualization, and sharing of integrated data models. BMC Bioinformatics 19:80
Venkatratnam, Abhishek; House, John S; Konganti, Kranti et al. (2018) Population-based dose-response analysis of liver transcriptional response to trichloroethylene in mouse. Mamm Genome 29:168-181
Chiu, Weihsueh A; Rusyn, Ivan (2018) Advancing chemical risk assessment decision-making with population variability data: challenges and opportunities. Mamm Genome 29:182-189
Tölgyesi, Ádám; Giri, Anupam; Barta, Eniko et al. (2018) Determination of Thyreostats in Urine Using Supported Liquid Extraction and Mixed-Mode Cation-Exchange Solid-Phase Extraction: Screening and Confirmatory Methods. J Chromatogr Sci 56:858-866
Shapiro, Andrew J; Antoni, Sébastien; Guyton, Kathryn Z et al. (2018) Software Tools to Facilitate Systematic Review Used for Cancer Hazard Identification. Environ Health Perspect 126:104501
Kim, Jun-Hyun; Li, Wei; Newman, Galen et al. (2018) The Influence of Urban Landscape Spatial Patterns on Single-Family Property Values. Environ Plan B Urban Anal City Sci 45:26-43
Klaren, William D; Rusyn, Ivan (2018) High-Content Assay Multiplexing for Muscle Toxicity Screening in Human-Induced Pluripotent Stem Cell-Derived Skeletal Myoblasts. Assay Drug Dev Technol 16:333-342

Showing the most recent 10 out of 56 publications