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Digital Intelligence

and Information Space Management


Purpose of the program.

  • Provide a systematic understanding of the ways in which information originates and is disseminated, information risks, and the role of information in an organization’s operations. Teach students the basics of open-source intelligence and forecasting

  • Develop competences in applying technical means to the communications of an organization, performance control, and subject/object screening

  • Help students form approaches for developing risk assessment systems in information environments, systems of interaction in organizations, and process automation

  • Develop skills in using the service to find information threats and determine their resonance as well as decision-making skills at the operational and strategic communication when faced with hybrid risks



Full program – 5 days / 25 hours
Intensive – 3 days / 15 hours
Introductory session – 1 day / 8 hours


Day .

Society, business, and government

  • Communications development retrospective

  • Media convergence in a hybrid environment

  • Informative pictures and information operations

  • Interrelations among the values, reputation, leadership, and cost (influence) of an organization

  • Target groups, their segmentation, and ways of attaining goals



Crises, information risks, and media security

  • Structure of an organization’s information security

  • Situational awareness

  • Alert systems

  • Management roles, images, expectations

  • Risk planning



Activity and threat tracking

  • Open-source intelligence

  • Creating a system of regulations and tracking

  • Threat decomposition

  • Anti-crisis scenario inclusion methodology

  • Calculating a budget for anti-crisis means



Basics of an organization’s information space

  • Responsibility for the results of operations and communications

  • Structure of an organization’s information streams

  • External and internal communications

  • Communication efficiency




  • Process, result, forecast

  • Modern decision support systems (DSSs)

  • Automated processing of unstructured data

  • Correlation between systems and people in a hybrid world

  • Analysis of the market for monitoring systems through the DSS prism

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