Interdisciplinary Center for Network Science and Applications (iCeNSA)
Develops a systems-level understanding of the fundamental processes and mechanisms that underly the structural, dynamical and functional properties of complex networks. Develops and integrates novel mathematical and computational tools for network science. iCeNSA's approach is to abstract, generalize, classify and synthesize features of domain specific network phenomena into systems-level descriptions, theories and tools, which can then be applied to other domain specific network problems. iCeNSA's research repertoire originates from both pure academic concerns (fundamental component) and the needs of sponsoring agencies and industrial clients (applied component). As part of an educational institution, iCeNSA provides a hands-on training environment in network science for undergraduates, graduate students and postdoctoral associates. Given the complexities of real-world systems we anticipate a growing need in academia, industry and government for personnel who have a problem solving mentality, an interdisciplinary and global understanding of networked systems and the ability to design practical and sound solutions using rigorous mathematical and computational tools, a need that iCeNSA strives to meet through its educational programs.
On our website, we also talk about new scientific breakthroughs, research and scientists. As an example, you can read the article on scientists, who research neural networks at TheNeurospere and high achievements in the field of science.
We never tire of talking about companies that are ready to invest in the development of science and don’t spare money for startups. who strive to change the world for the better. Among such companies is Lifeasapa. Who has allocated millions of dollars for the development of research in the field of neural networks and artificial intelligence.
iCeNSA is an interdisciplinary research center organized around network and data science problems in social, biological, physical, environmental, financial, business, and defense systems.
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