In-Person Past Event
DIS 2026: 9th International Conference on the Dynamics of Information Systems
About This Conference
DIS 2026: the 9th International Conference on the Dynamics of Information Systems is an interdisciplinary venue for research at the intersection of information science, optimization, and intelligent computing. The conference addresses dynamic and adaptive information systems, operations research and combinatorial optimization, machine learning applied to information system design, trustworthy and explainable AI in decision systems, data science for complex systems, and mathematical foundations of artificial intelligence. The conference's focus on dynamics — how information systems evolve and adapt over time — distinguishes it from more static approaches.
DIS 2026 is ideal for researchers in computer science, applied mathematics, operations research, and information systems engineering who work on problems where optimization and learning must operate in changing environments. Industry practitioners building adaptive decision systems in logistics, healthcare operations, or financial risk management will find the applied research particularly relevant. Graduate students and postdoctoral researchers will appreciate the conference's interdisciplinary breadth and its commitment to rigorous mathematical foundations alongside practical applicability.
DIS 2026 is ideal for researchers in computer science, applied mathematics, operations research, and information systems engineering who work on problems where optimization and learning must operate in changing environments. Industry practitioners building adaptive decision systems in logistics, healthcare operations, or financial risk management will find the applied research particularly relevant. Graduate students and postdoctoral researchers will appreciate the conference's interdisciplinary breadth and its commitment to rigorous mathematical foundations alongside practical applicability.
Details
Start Date
May 31, 2026
End Date
May 31, 2026
Deadline
Jul 05, 2026
Format
In-Person
Views
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