Advanced mathematical tools for data-driven applied systems analysis


Prof. Fred Roberts (USA), director of Command, Control and Interoperability Center for Advanced Data Analysis (CCICADA), emeritus and interim director of Center for Discrete Mathematics and Theoretical Computer Science (DIMACS), Rutgers University,

Prof. Igor Sheremet (Russia), deputy director for science of Russian Foundation for Basic Research, head of the department of Financial University under the Government of Russian Federation, member of Science Advisory Committee of International Institute of Applied Systems Analysis (IIASA), sheremet(at) 

Task Group description, objective and significance

The objective of the Task Group is development of an advanced mathematical toolkit for the wide spectrum of applied systems analysis problems, that we can be expected to face in the near future while building a global digital economy.

One of the most significant such problems is assessment of vulnerability of digitized sociotechnological systems (DSTS), based on critical infrastructures (CI), to various destructive extreme events (natural hazards, including seismic, volcanic, climatic and cryospheric ones, technological catastrophes, terror, mutual sanctions, etc.).

Another not less significant problem is assessment of the decisions leading to the growth of the number of unemployed people who would be replaced by networked robotics. This assessment requires creation and development of appropriate very large heterogeneous databases and geospatial information systems.

To solve such sophisticated and multidimensional problems it is necessary, first of all, to create mathematical tools, deeply integrating the best features of classical operations research, modern knowledge engineering and big data technologies in order to minimize duration of development of adequate models of DSTS and CI, as well as of computation on the developed models and available data.


Key outputs/events of the Task Group

Task Group intends to develop a strict mathematical description of the advanced knowledge representation, suitable for application to the wide spectrum of DSTS and CI. Also proper algorithmics will be developed, ready for software implementation and providing fast search of solutions on very large knowledge bases, integrated with big data storage and geoinformatic systems. Two workshops, one planned to be held at IIASA in Laxenburg, Austria, and one at the Geophysical Center of the Russian Academy of Sciences in Moscow, will allow Task Group members to get together and exchange ideas. All results will be published in high ranking editions and monographs, which will comprise the main TG output.