Data-Driven Decision Making for Complex Systems

Dear Colleagues,

Data-driven decision making for complex systems is of paramount importance, particularly in the context of risk management within intricate systems such as financial markets, healthcare networks, and critical infrastructure. This Special Issue of Systems is a call to rekindle the original mission of system dynamics: gaining fresh insights into persistent security and risk-related challenges and crafting policies to address them. We invite you to submit approaches to models that showcase specific aspects of real-world systems, facilitating purposeful analysis of these prevalent issues.

Data-driven decision making is an indispensable tool for robust risk management in complex systems, where the sheer volume and complexity of data render traditional approaches less practical. It empowers organizations to proactively identify, assess, and mitigate risks, ultimately enhancing the resilience and reliability of complex systems.

This Special Issue is dedicated to establishing a scholarly foundation for data-driven decision making, with a specific focus on risk and education management within complex systems:

• Risk Identification: Data analysis can uncover potential risks within complex systems by identifying patterns, anomalies, or factors that may lead to adverse events.
• Risk Assessment: Data-driven models can quantify the likelihood and impact of identified risks, providing a structured way to prioritize and assess risks within the system.
• Early Warning Systems: Complex systems can benefit from data-driven early warning systems that detect anomalies or deviations in real time, enabling proactive risk mitigation.
• Scenario Analysis: Data analytics can be used to simulate various scenarios to assess the impact of potential risks, aiding in decision-making and risk response planning.
• Optimization: Data-driven approaches can help optimize resource allocation and response strategies to minimize risks or their consequences.
• Continuous Monitoring: Data-driven systems allow for ongoing monitoring of risks within complex systems, providing the capability to adapt and respond to evolving threats.
• Education: Data-driven systems allow the enhancement of personal and systematic approaches to educational activities realization in light of modern technologies in the educational process.

Prof. Dr. Svajonė Bekešienė
Prof. Dr. Šárka MAYEROVÁ
Dr. Marek Sedlačík
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Prof. Dr. Svajonė Bekešienė
Prof. Dr. Šárka MAYEROVÁ
Dr. Marek Sedlačík
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• risk mitigation strategies
• risk mitigation in healthcare networks
• civil systems protection
• natural systems management
• cyber&ndash
• physical systems
• systems engineering
• urban modeling and simulation
• behavior modeling
• resiliency
• disaster management
• pandemic management
• data analytics
• information management
• decision making
• artificial intelligence
• machine learning
• educational strategies