U.S. flagAn official website of the United States government
                    Here's how you know **Official websites use .gov**
                            
                            A **.gov** website belongs to an official government organization in the United States.
 **Secure .gov websites use HTTPS**
                            
                            A **lock** (                            
                              A locked padlock                                                      
                            
                            ) or **https://** means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.


Menu Agricultural Research Service
						
                    U.S. DEPARTMENT OF AGRICULTURE
 Genomics and Bioinformatics Research: Stoneville, MS
 close



    Research

                    Research Projects
                                    Publications
                                    Collaborations
                                    News
                                    Software
                People

                    Staff Listing
                                    Careers


        


                    About GBRU
                        GBRU Mission Statement
                                    GBRU History
                                    GBRU Image Gallery
                                    GBRU Scientific Computing Learning Center
                    GBRU Downloads
                        BMC Genomics P. Pachyrhizi Supplemental Data
                                    Rice Data
                                    UPIC Software
                                    Vica Software (github)Search small
                    Search
            
            ARS Home
                                About ARS
                                Contact Us




ARS Home Southeast Area Stoneville, Mississippi Genomics and Bioinformatics Research Research





- Scheffler, Brian
- Torbert, Henry - Allen
- Hulse-Kemp, Amanda
- Vaughn, Justin
- Rivers, Adam
- Donoghue, Ann - Annie
- Ashworth, Amanda
- Bowker, Brian
- Abernathy, Jason
- Park, Bosoon
- Yoon, Seung-Chul
- Beck, Benjamin
- Owens, Phillip
- Delhom, Christopher - Chris
- Moore, Philip
- Plant Genetic Resources, Genomics and Genetic Improvement (301)

Research Project: **Location:
                            Genomics and Bioinformatics Research** Project Number: 6066-21310-006-021-S
                        
                        Project Type: Non-Assistance Cooperative Agreement Start Date: Aug 15, 2022
                        
                        End Date: Sep 30, 2024 **Objective:**
                        
                        1. Advancing data-driven research in climate-smart agriculture in any participating ARS research office.

2. Building a pipeline for future U.S. agriculture workforce that data and technology savvy and increasing diversity, equity and inclusion in agriculture research. **Approach:**
                        
                        This project is to support a research internship program for 24 students to work with ARS scientists on agriculture data science, machine learning and artificial intelligence (AI) research. The Project methodology and program activities include:
 
Training: ARS and University of Texas at Arlington will provide an intensive 2-week training program to get student ready, 20 hours per week for 2 weeks (total 40 hours for undergraduate). The program elements are:

• seminars by ARS scientists,
• hand-on training for stats, programming and introduction to agriculture engineering,
• working on summer project planning under faculty and ARS scientists.

Research Apprenticeship program jointly mentored by ARS and UT at Arlington scientists, a 8 week program (40 hours per week, 320 hours for undergraduate). The program elements are:

• Opening ceremony, USDA speakers and students who present summer project outline,
• Agricultural data research that are jointly supervised by ARS scientists and UTA faculty, 
• Remote working from ARS, workplace is at UTA campus. UTA provides office space and computation facilities, 
• The research topics are in Climate-smart agriculture particularly in data analysis using modeling and machine learning,
• A student symposium at the end of program to report student progress and recruit next cohort.


Return to top


Connect with ARS Sign up


ARS Home
                            USDA.gov
                            Plain Writing
                            Policies & Links
                            Civil Rights Statements
                            FOIA
                            Accessibility Statement
                            Privacy Policy
                            Non-Discrimination Statement
                            Quality of Information
                            USA.gov
                            WhiteHouse.gov