Papers for

emergency response coordinators

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

WeatherDiagFlow improves radar forecasts with evidence and audits

WeatherDiagFlow: Evidence-Grounded Radar Nowcasting with Diagnostic Flow Refinement

Abstract: Radar nowcasting is essential for short-term warning and emergency response, yet conventional systems mainly return future radar fields and provide limited support for operational communication and post-event verification. We formulate radar nowcasting as an evidence-grounded forecast--bulletin--audit task, in which a numerical forecaster produces both future radar fields and structured diagnostic evidence. Forecast-time bulletins use only model-available evidence, whereas post-event audits incorporate future radar truth only after the forecast horizon is observed. Based on this task formulation, WeatherDiagFlow predicts motion, growth and decay, heavy-echo risk, and uncertainty to condition rolling flow refinement, while frozen-scaffold residual calibration improves long-lead strong-echo preservation. A multi-agent layer converts the structured evidence into operational bulletins and independently generates verification audits without feeding textual outputs back into the forecaster. Experiments on FJRADAR demonstrate competitive overall performance and improved strong-echo event skill. WeatherDiagFlow therefore connects numerical prediction, evidence-grounded reporting, and auditable verification under a leakage-controlled protocol.

Thu 24 SeptMachine LearningMultimedia
The gist
Short-term weather forecasts from radar help with emergency warnings but usually only show future radar images without much explanation. The authors present WeatherDiagFlow, which not only predicts future radar but also provides clear evidence and reports about what the forecast means and how confident it is. This system also checks its own forecasts against real radar data afterward to verify accuracy. By combining predictions, evidence, and audits, WeatherDiagFlow aims to make radar forecasts easier to understand and trust.
Open → 2609.29772v1

Minimal communication achieves strong team coordination in resource games

Achieving Robust Performance using Minimal Communication in Resource Allocation Games

Abstract: Increasingly, resource allocation games are being proposed to model team coordination in denied communication environments. Of particular interest is understanding the impact of communication denial on the quality of emergent team coordination. In this work, we consider the situation with an arbitrary communication network and use the Price of Anarchy to quantify the quality of emergent behavior. Our main result is a computationally efficient algorithm that calculates a minimal communication network that has the same performance guarantee as the full information case. Additionally, we provide efficient algorithms that compute a Nash and a strict Nash equilibrium in the full information setting. Finally to support these algorithms, we provide sufficient conditions for the existence of a strict Nash equilibrium, characterize strict Nash equilibria across all communication networks, and show that each strict Nash equilibrium in the full information case has a necessary and sufficient set of communication links that induce it. We conclude by giving an execution time experiment of the proposed algorithm and examine several example games.

Tue 22 SeptComputer Science and Game Theory
The gist
When teams try to share resources without fully talking to each other, their coordination can suffer. This paper looks at how much communication is really needed to keep teamwork just as good as if everyone could talk all the time. The authors created a fast way to find the smallest communication setup that still keeps team performance high. They also figured out when teams can be stable in their choices and how communication affects that. They tested their methods on example games to show it works efficiently.
Open → 2609.26670v1

Secure software approaches improve voice data segregation across domains

SoK: Secure Software-Based Multi-Domain Data Segregation

Abstract: Modern mission-critical coordination demands seamless communication across multiple domains. Traditionally, Voice Communication Systems (VCS) have relied on physically separated Red/Black architectures to ensure voice and data segregation. While these hardware-based methods provide strong security assurances and remain foundational in high-security contexts, they can introduce significant complexity and scalability challenges as mission parameters expand into highly dynamic, multi-domain integrations. As defence, emergency response, and critical infrastructure operations increasingly require interoperable, flexible, and cost-efficient communication environments, there is a growing need to understand whether software-based approaches can provide comparable assurance while supporting modern operational requirements. This SoK characterises a transition to software-based Multi-Domain Data Segregation (MDDS) by integrating systems security, networking, and cryptography. Its goal is to consolidate existing research, identify shared architectural patterns, and address the security challenges facing next-generation high-assurance software-based VCS architectures. By assessing software-defined and virtualized approaches, this SoK supports the development of scalable, high-assurance VCS architectures that facilitate secure real-time coordination across diverse operational domains. Specifically, this SoK examines the security implications of Software-Defined Networking, Network Slicing, Separation Kernels, and Cross-Domain Solutions while addressing challenges posed by quantum computing through Post-Quantum Cryptography (PQC). This SoK provides a comprehensive analysis of the shift from hardware isolation to software segregation, serving as a crucial foundation for researchers and industry stakeholders aiming to enhance secure and adaptable VCS infrastructures for mission-critical operations.

Mon 7 SeptCryptography and Security
The gist
Voice communication systems need to keep important information separated across different groups for security reasons. Traditionally, they use special hardware to do this, which is safe but can be complicated and hard to scale. The authors review how software methods might provide similar security while being more flexible and easier to manage. They look at how new networking and encryption techniques can help protect communication across multiple domains, even against future threats like quantum computing.
Open → 2609.07701v1