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Science and Technology
  Research & Development
  Data, Modeling, and Simulation Sciences

     Research & Development
                
      Advanced Sensing
                
                    
      
      Artificial Intelligence and Autonomous Systems
                
                    
      
      Biotechnology
                
                    
      
      Border Security
                
                    
      
      Chemical, Biological and Explosive Defense R&D
                
                    
      
      Communications and Cyber Resiliency
                
                    
      
      Community and Infrastructure Resilience
                
                    
      
      Counter Terrorist
                
                    
      
      Cybersecurity/Information Analysis R&D
                
                    
                    
      Data, Modeling, and Simulation Sciences
                
                    
      
      Digital Identity and Trust
                
                    
      
      Earth Systems Sciences
                
                    
      
      Emerging Computing Paradigms
                
                    
      
      First Responder Capability
                
                    
      
      Food and Agriculture Defense
                
                    
      
      Novel Materials and Secure Manufacturing
                
                    
      
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      About S&TData, Modeling, and Simulation Sciences
Image
              engineer using a simulation deviceIn today’s world where data is ubiquitous and inexpensive, the Department of Homeland Security (DHS) can leverage data science developments across multiple homeland security missions to identify signals, patterns, and structures within high-dimensional, noisy, uncertain input. Data sciences and simulation sciences conduct experiments to predict different operational outcomes. Such research can improve the phenomenology of crowd models, improve tool sets available in cyber analytics platforms, decrease the time needed to develop training data annotations in law enforcement missions, improve air interdiction of drug trafficking, and adapt training according to the trainee’s strengths and weaknesses.

Both data sciences and simulation sciences are increasingly combined with machine learning (ML) approaches. Science-based simulations are relying on embedded ML models not only to interpret results from massive data outputs but also to steer computations. Science-based models are being combined with data-driven models to represent complex systems and phenomena. This research area represents modeling areas of critical importance to DHS that do not fall in classic science-based simulations. These include technologies such as virtualization, game engines, and virtual/augmented reality.

As massive stores and streams of digital data are driving an increasing emphasis on more sophistication at the application level, the importance of an effective data ecosystem is increasingly apparent. It must consist of multiple integrated resources and software services, including resources for managing, processing, analyzing, exploring, and sharing. Data also needs to be discoverable, accessible, reproducible, secure, trusted, and reusable—and management and lifecycle policies are key concerns.

The Science and Technology Directorate’s (S&T) focus areas in data, modeling, and simulation sciences are:

**Advance Data Analytics Capabilities** - We aim to improve existing data analytics capabilities and invent or adapt new and emerging capabilities for DHS use.
	**Advance Modeling and Simulation Capabilities**- We strive to improve existing modeling and simulation capabilities and adapt new and emerging capabilities for DHS use.
	**Combine Data Analytics and Simulation Capabilities**- We experiment with and understand the limitations of learning models from simulated environments, while exploring model-test-model paradigms.
	**Data Ecosystem** - We conduct research to increase knowledge and inform best practices for data ecosystems that serve all modeling communities and enable data analytics, simulation and AI applications.Resources

Modeling and Simulations Technology Center
	Modeling and Simulations Fact Sheets
	Obtaining Models and Simulations for Radiological/Nuclear Trainings and Exercises Summary
	S&T Technology Centers Division Research AgendaNews

Technologically Speaking Podcast: Representing the Reality of Situations
	Feature Article: Virtual Reality at the Los Angeles Long Beach Seaport
	Feature Article: Helping DHS Mitigate Explosive Threats
	Preparing for the UnlikelyContact

TCD.Comms@hq.dhs.gov

Learn more about us and discover how your organization can partner with S&T to make the homeland more secure.
      
      
  
    
    TopicsScience and TechnologyKeywordsScience and Technology
              Analytics
              Data

    Last Updated: 03/15/2024
  
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           Research & Development
      
    
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