What will be done in the framework of this project?

Project implementation forms a new type of researches for Georgian regions. Implementation of the results of these researches will provide country development
and increasing of its competitiveness.

The task to be solved within the frames of the presented project and the results of these tasks solutions are the following:

·  System formalization of region development problems, defining of sustainable development criteria;

·  Systematization of region sustainable development tasks and determination of the purposes and factors characterizing region sustainable development;

·  Elaboration of the region sustainable development model on the basis of cognitive modeling methodology;

·  Choosing of regulating mechanisms for region development on the basis of cognitive modeling. Selection of the control scenario which provide region development;

·  Systematization of Gori region sustainable development tasks and determination of the purposes and factors characterizing region sustainable development;

·  Choosing of regulating mechanisms for Gori region development on the basis of cognitive modeling. Selection of the control scenario which provide region
development;

·  Determining of territories which need special governmental support and elaboration of appropriate criteria for assignment of this status.

After implementing of this project will be developed strategy for regions sustainable development by considering the specifics of separate regions. By implementing
of this Project in practice, regional economics will be competitive. This will cause economical development for the whole country.

By using of the developed model, researchers working on the regional problems will be able to formulate the task of region sustainable development and
investigate effectiveness of decisions for region development.

Elaborated methodology of research will be used for Gori region sustainable development. Using of this technique will be possible for any regions of Georgia.

Suggested methodology can be successfully used for researches and analysis of large scale organizational systems.

The results obtained within the framework of the project will be systematized and published as articles and preprint. These publications will be very helpful to the
researchers interested in region sustainable development problems.

What’s next?

1. Our project results can - and should - play a key role in increasing the efficiency and effectiveness of the way we manage and allocate our natural resources
in Georgia, while enriching and transforming Computer Science proper.

2.  The possible industrial, commercial, economic and other benefits that we may obtain during the project implementation:

Conservation and Biodiversity (the existence of a wide variety of plant and animal species in their natural environments, which is the aim of conservationists
concerned about the indiscriminate destruction of forests and other habitats), e.g. wildlife corridors which link core biological areas, allowing animal, seed, and pollen
movement between areas; least environmental corridors.

Balancing socio-economic demands and the environment e.g.  policies for harvesting renewable resources.

Renewable Energy e.g. biofuel - a gaseous, liquid, or solid substance of biological origin that is used as a fuel.

Computational Challenges in Constraint Reasoning and Optimization, conservation and Biodiversity, wildlife corridors, including some  NP-hard problems.

Formation of computational thinking to solve the challenges of sustainable development of the regions and also educate other sustainability researchers
(e.g. resource economists, environmental scientists, and biologists) about  the new methods and opportunities computing and information science as well as modeling

3. Rigorous substantiation of the benefits of using mathematical modeling in sustainable development problems does not cause difficulties.

In the 21^st Century the world has so many challenging problems amongst are the global warming, occurrence of ecological problems, outbreak of diseases,
security problem, food and energy crises and high raise in the price of crude oil, the unemployment problem and collapse of many financial giant institutions and the list
can go on and on.

In order to understand complex situations surrounding human being there is the need to develop models. Models are mathematical structure for managing
real life situations, to animate, visualize or interact with complex structures and processes.

It is necessary to suggest to policy makers how to improve the quality of life of people and our environment, how to predict natural disaster using mathematical models
and simulation techniques. A mathematical model is a most favourable description of a complex system using mathematical concepts and language. The mathematical
modeling can result in launching of Georgia onto the path of sustainable development in this 21^st century.

4. The patent application is expected over the years.

5. The list of institutions and companies, which, as we know, are interested in our sustainability's models: Ministry of Economy and Sustainable Development
of Georgia, Ministry of Environment and Natural Resources Protection of Georgia - Protection of Environment from Negative Impact, Indian multinational conglomerate
company Tata Group which collaborates with Georgia in the field of communications and information technology, engineering, materials, services, energy, consumer products
and chemicals, Ministry of Energy of Georgia which should take into account environmental issues in the time of scheduled extensive development of hydropower to
optimize your solutions.

6. Since our project has limited commercial applicability, we intend to use our results within the bounds of Georgian e-Government and  to attract public funds for
further  mathematical modeling of the sustainable development.

7. Computational Sustainability is a direction of  our future research - development of computational methods and mathematical models to alleviate sustainability
problems (e.g. significant opportunity for more efficient use of natural resources): additional levels of  complexity (stochasticity, uncertainty, large-scale data
modeling); challenges in  dynamic models and optimization; balancing socio-economic demands and environment; highly stochastic environments.