After four years of intense collaboration, eighty nine partners from the EU, Brazil and the Republic of Korea united in the NANoREG project, recently published the results of their work aimed at developing more efficient methods and strategies to test the effects of nanomaterials on human health and the environment and assess their risks.

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Comment by Victor S. Abrukov on May 29, 2017 at 5:03pm

Dear Dr Andreas Falk

The Data Science is NANoREG project needs.

CODATA 2017 Special Session Proposal

 

The title of Session:

Data Driven Knowledge-Based Systems for Basic and Applied Sciences: Combustion, Detonation, Nanotechnology, Renewable Energetics, etc

 

 

Session Chairs:

 

Prof. Victor S. Abrukov,

Head of Department of Applied Physics and Nanotechnology, Chuvash State University;

Dr. Alexander N. Lukin

Principal Research Scientist & Executive Director at the Western-Caucasus Research Center, Expert of the Russian Academy of Sciences

 

The desired format of the session:

 

-         Presentation of the Invited Talk by Prof. Victor S. Abrukov;

-         Demonstrating of development of multifactor models of experimental data with using of the advanced analytical platforms;

-         Lightning Talks;

-         Round Table Discussion.

 

The proposed session corresponds to the following priority themes of CODATA 2017:

 

Achievements in Data Driven Science: covering concrete achievements in data-driven science across all research areas.

 

The session description

 

From the data to the Knowledge is the main topic of the session.

Nowadays a solution of many problems that were not be able solved early became possible by means of Data Science. One of such problems is a creation of new sort of Knowledge-Based system (KBS). Under the new sort of KBS we mean the calculation tool that: contains all relationships between all variables of the object; allows to calculate the values of one part of variables through others; allows to solve direct and inverse problems; allows to predict the characteristics of an object that have not been investigated yet; allows to predict technology parameters to obtain an object with desired characteristics. An ensemble of multifactor quality, quantity and computational models are the base of new sort of KBS.

The formulations of the problems of a creation of new sort of KBS, the methodology, methods, techniques, and tools for a creation of KBS will be discussed on the session. The best practice and examples of KBS created in various areas of basic and applied research of combustion, nanotechnology, Materials Genome, solar energetic, socio-economic systems, etc will be presented and discussed. Two analytical platforms “Deductor” and “PolyAnalyst”, that have all tools for creation KBS will be presented. We expect to have speakers on a variety of topics related to KBS creation. Preliminarily identified speakers will address issues of the formulations of the problems of a creation of new sort of KBS

In conclusion, the Motto: The Knowledge-Based System is a Goal and a Tool for Basic and Applied Research as well as prospects of joint research will be discussed.

 

During the session we plan to demonstrate possibilities of the Data Science Methods application in the generalization of the connections between the experimental variables of an object as well as in forecasting of “new experimental results” without real experiments.

 

We believe that Data Science Methods will be considered as a powerful tool, which supports an interchange between experiment, computer simulation, and engineering calculation.

 

 

The suggested speakers and papers that will comprise the session.

 

Prof. Viktor S. Abrukov,

Head of Department of Applied Physics and Nanotechnology, Chuvash State University; paper: “The Knowledge-Based System is a Goal and a Tool for Basic and Applied Research”

 

Dr. Alexander N. Lukin

Principal Research Scientist & Executive Director at the Western-Caucasus Research Center, Expert of the Russian Academy of Sciences

 

Dr. Kiselev M.V., Megaputer Intelligence, Moscow

 

Dr. Charlie Oommen, Ph.D, Principal Research Scientist, Dept. of Aerospace Engineering, IISc, Bangalore, INDIA.

 

Dr. P N Suganthan, Nanyang Technological University

Email: epnsugan@ntu.edu.sg

Data Science & Artificial Intelligence Research Centre@ NTU

 

Dr. Alexander V Bobyl, Ioffe Physical Technical Institute, bobyl@theory.ioffe.ru

 

Dr. Keiichi Hori, ISAS/JAXA, 3-1-1 Yoshinodai Chuo-ku Sagamihara Kanagawa JAPAN 229-8510, hori.keiichi@jaxa.jp

 

Dr. Lloyd L. Tran, Director California Institute of Nanotechnology, NASA Ames Research Center, P.O. Box 151, Moffett Field, CA 94035-0231 USA, Tel. 408-280-6266, Email: info@cinano.com

 

Dr. Vitaly Schetinin, University of Bedfordshire, Department of Computer Science and Technology, vitaly.schetinin@beds.ac.uk 

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