Driving Data-Driven Research for Next Generation Transportation and Logistics Systems Supporting Arkansas
The Arkansas Smart Transportation Research Incubator through Data Engineering and Science (AR-STRIDES) is positioning researchers in Arkansas to be leaders in data-driven supply chain technologies and data analytics solutions for next generation transportation and logistics
About AR-STRIDES
Funded by National Science Foundation Award OIA #2445877, AR-STRIDES is building competitive research infrastructure and capacity to position teams of researchers and educators in Arkansas to be leaders in data-driven supply chain technologies and data analytics solutions for next generation transportation and logistics.
Research Infrastructure
Statewide Initiative
NSF EPSCoR Funded
Core Projects
Data
Provisioning
Data Provisioning for Machine Learning/Artificial Intelligence (AI) Transportation Models is developing a readily accessible data repository and provisioning service focused on representative and public transportation datasets.
Geospatial
AI
A Geospatial Foundation Model to Enable Next-Generation Transportation Analysis and Prediction addresses challenges of complex and interconnected geospatial data and will result in a research testbed for next-generation transportation tasks.
Secure Cloud
Computing
Secure and Reliable Cloud Computing System for Smart Transportation Services designs and implements a prototype secure cloud computing system tailored for smart transportation services.
Synthetic Data
Generation
Synthesis, Analysis, and Synthetic Data Generation of Supply Chain and Freight Indicators quantifies variation in supply chain activity to generate synthetic data for the research, testing, and development communities in transportation statistics.
Workforce
Development
The AR-STRIDES Workforce Development team provides students and teachers in Arkansas with data analytics and AI learning opportunities to help meet the state’s demand for data analytics talent in the transportation and logistics industry.
Research Focus Areas
Arkansas is a natural laboratory to address use-inspired research challenges for next generation transportation and logistics systems.
Artificial Intelligence for Next-Generation Transportation & Logistics
Developing artificial intelligence solutions for multimodal mobility
Harnessing Data for Next-Generation Vehicles
Creating innovative data-driven solutions in connected and autonomous vehicles
Unmanned Aerial Mobility
Data Mining
Interpreting large and complex data sets generated from unmanned aerial systems
Programs & Opportunities
AR-STRIDES offers multiple programs to support Arkansas researchers whose expertise contributes to our mission.
Use-Inspired Early Career Research Seed Grants
Use-inspired research seed grants up to $75,000 for early career faculty at IHEs within Arkansas. Funded seed projects have the potential to increase federal funding, strengthen ties to Arkansas industries, and enhance the talent pool by expanding and/or leveraging research collaborations.
Small Equipment/Software Grants
Small equipment or software grants for researchers across Arkansas to enhance their research programs related to AR-STRIDES
Travel Grants
Travel grants for Arkansas researchers whose interests relate to AR-STRIDES to develop or advance research collaborations, visit potential funding agencies, or establish relationships with new industry partners
Collaborative Connections
AR-STRIDES offers multiple programs to support Arkansas researchers whose expertise contributes to our mission.
Partner Institutions
Lead, providing overall program leadership, core research infrastructure, and coordination of statewide research and workforce development activities.
Leading secure and reliable cloud computing research for smart transportation systems and contributing to statewide research capacity building.
Community college partner strengthening workforce pipelines through associate degrees, micro-credentials, high school outreach, and transfer pathways in data analytics and related fields.
Contributing to advanced algorithm development, data analytics, and graduate-level research in computer and information sciences.
Leading activities in workforce development, student outreach, and engineering-focused education pathways.
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