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Information, Knowledge and Prognostic
Criteria of Scientific Fundamental
Research Estimations
Dr. Bohdan Kyiak
Valentyna Andrushchenko
Kyiv, 1-2 October, 2015
Problems:
1.The ways to solve the existing problems of the objective
system of scientific search estimation.
2.The ways to control scientific research to provide the rational
combination of centralized science management with the
realization of all the research teams and every investigator
creative opportunities.
These are the problems, which
scientometrics is trying to solve.
The sources for it are the developed knowledge
bases and publications data bases, their citation
indexes.
All these indexes are used to provide scientometric
research of grant projects in
The State Fund For Fundamental Research of
Ukraine
The used scientometric
indicators have the advantages
and restrictions and that is the
reason to use these indexes
gently and not to assume them
as the “absolute ones”.
Let us make a critical view on the
common ways of researchers to
increase their personal rate:
1. Self-Citations
Countries – leaders in self-citation
(according to SCImago Journal and Country Rank)
Country Documents Citable
documents
Citations Self-
Citations
1. United States 8.626.193 7.876.234 177.434.935 83.777.658
2. China 3.617.355 3.569.652 19.110.353 10.462.121
10
50000000
100000000
150000000
200000000
1
Documents
Citetions
Self-Citations
Series4
Series5
10
5000000
10000000
15000000
20000000
1
10
5000000
10000000
15000000
20000000
25000000
30000000
35000000
40000000
45000000
1
USA China UK
2. Frequentative
publications
of the results in
different journals
3. Results
Falsification
4. Dissemination of low-quality informa
5. The usage of knowledge and skills
difficult for reconstitution
6. Second investigations (the
need to fix the recrudescent
research to prove the
reliability of results)
Establishment
of specialized fund
?
7. Cooperation indicators for
dozen (hundred) authors’
publications
8. Criteria of authenticity of
received knowledge to determine
the scientific thought form the
other (for example, metaphysics)
superstructures
9. The antiscience ostents
(counteraction – the
expert evaluation of
products and resources)
To create the scientific picture of the world the fundamental definitions and
indexes were implemented, such as:
- space, - time, - matter, - weight, - energy
- information, the quantity of which is connected with the probability of its
acquiring.
The measure of the systems’ disorder is the entropy, which was defined by
Ludvig Boltzman as a logarithm from the number of probable system states.
Claude Shenon suggested the formula to calculate the quantity of
information:
p(a) – the probability of acquiring the message, and information is measuring
as a logarithm of the quantity of the experiments held.
O.M. Kolmogorov suggested the algorithmic measure of information, which is
defined by the length of the program.
One more approach – the sematic information measure.
10. The quality, the novelty and the
value of information.
The correlation of valuable of non-
valuable (the information noise)
information defines the coefficient of
its value.
The entropy (S) is
connected with the
probability of system
state, but information (I)
about the process of
receiving the data of this
state. And the law of the
safeness of entropy and
information, which gives
an opportunity to
estimate “the order” and
“the chaos”
The raise of S
The raise of I
The information-criteria estimation of the knowledge certainty
(the transfer of the Zommerfeld and Blokh theoretical physical
model for creating the areas energetic scheme of information
streams)
The “injection” of information
Information actions area The “tunneling” of information
The innovation barrier
The innovation implementation area
The level of innovation risk
The non-scientific knowledge
The proven scientific knowledge area
The 1st
demarcation level
The 2nd
demarcation level
11. The evaluation of information cost – as odds
between the expected results in terms of the
whole awareness and the results of these
actions or the decision when the awareness is
not whole
12. The efficiency of the function system
realization (as a correlation of the amount of
energy used usefully for the realization of exact
function and the general energy exes)
The instruments to control and forecast
the Science
e quantitative indexes for publications and citations
high rate journals allows to define the scientific areas,
hich are developing rapidly and to make a decision
out stimulating this or that competitive scientific
ection.
s possible to forecast the publication potential and
sult and also to make a decision about the
visability of cooperation.
The mind into future – is the move ahead, is the alternative of
utopia and illusion, but we are to underline:
Futurology, the prediction of future, based on the huge scientific
assumption, the risk science… Futurology is so primitive science
because our mind is thinking linearly, but the knowledge
develops exponentially.. But, even our measured intellect gives us
an opportunity to penetrate into the deepest mysteries of the
nature. Isn’t it the sense of our life?
(Michio Kaku “Hyperspace”)
Thank you for your attention!

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Information, Knowledge and Prognostic Criteria of Scientific Fundamental Research Estimations

  • 1. Information, Knowledge and Prognostic Criteria of Scientific Fundamental Research Estimations Dr. Bohdan Kyiak Valentyna Andrushchenko Kyiv, 1-2 October, 2015
  • 2. Problems: 1.The ways to solve the existing problems of the objective system of scientific search estimation. 2.The ways to control scientific research to provide the rational combination of centralized science management with the realization of all the research teams and every investigator creative opportunities. These are the problems, which scientometrics is trying to solve.
  • 3. The sources for it are the developed knowledge bases and publications data bases, their citation indexes. All these indexes are used to provide scientometric research of grant projects in The State Fund For Fundamental Research of Ukraine The used scientometric indicators have the advantages and restrictions and that is the reason to use these indexes gently and not to assume them as the “absolute ones”.
  • 4. Let us make a critical view on the common ways of researchers to increase their personal rate:
  • 5. 1. Self-Citations Countries – leaders in self-citation (according to SCImago Journal and Country Rank) Country Documents Citable documents Citations Self- Citations 1. United States 8.626.193 7.876.234 177.434.935 83.777.658 2. China 3.617.355 3.569.652 19.110.353 10.462.121 10 50000000 100000000 150000000 200000000 1 Documents Citetions Self-Citations Series4 Series5 10 5000000 10000000 15000000 20000000 1 10 5000000 10000000 15000000 20000000 25000000 30000000 35000000 40000000 45000000 1 USA China UK
  • 6. 2. Frequentative publications of the results in different journals 3. Results Falsification 4. Dissemination of low-quality informa
  • 7. 5. The usage of knowledge and skills difficult for reconstitution 6. Second investigations (the need to fix the recrudescent research to prove the reliability of results) Establishment of specialized fund ? 7. Cooperation indicators for dozen (hundred) authors’ publications
  • 8. 8. Criteria of authenticity of received knowledge to determine the scientific thought form the other (for example, metaphysics) superstructures 9. The antiscience ostents (counteraction – the expert evaluation of products and resources)
  • 9. To create the scientific picture of the world the fundamental definitions and indexes were implemented, such as: - space, - time, - matter, - weight, - energy - information, the quantity of which is connected with the probability of its acquiring. The measure of the systems’ disorder is the entropy, which was defined by Ludvig Boltzman as a logarithm from the number of probable system states. Claude Shenon suggested the formula to calculate the quantity of information: p(a) – the probability of acquiring the message, and information is measuring as a logarithm of the quantity of the experiments held. O.M. Kolmogorov suggested the algorithmic measure of information, which is defined by the length of the program. One more approach – the sematic information measure.
  • 10. 10. The quality, the novelty and the value of information. The correlation of valuable of non- valuable (the information noise) information defines the coefficient of its value.
  • 11. The entropy (S) is connected with the probability of system state, but information (I) about the process of receiving the data of this state. And the law of the safeness of entropy and information, which gives an opportunity to estimate “the order” and “the chaos” The raise of S The raise of I
  • 12. The information-criteria estimation of the knowledge certainty (the transfer of the Zommerfeld and Blokh theoretical physical model for creating the areas energetic scheme of information streams) The “injection” of information Information actions area The “tunneling” of information The innovation barrier The innovation implementation area The level of innovation risk The non-scientific knowledge The proven scientific knowledge area The 1st demarcation level The 2nd demarcation level
  • 13. 11. The evaluation of information cost – as odds between the expected results in terms of the whole awareness and the results of these actions or the decision when the awareness is not whole
  • 14. 12. The efficiency of the function system realization (as a correlation of the amount of energy used usefully for the realization of exact function and the general energy exes)
  • 15. The instruments to control and forecast the Science e quantitative indexes for publications and citations high rate journals allows to define the scientific areas, hich are developing rapidly and to make a decision out stimulating this or that competitive scientific ection. s possible to forecast the publication potential and sult and also to make a decision about the visability of cooperation.
  • 16. The mind into future – is the move ahead, is the alternative of utopia and illusion, but we are to underline: Futurology, the prediction of future, based on the huge scientific assumption, the risk science… Futurology is so primitive science because our mind is thinking linearly, but the knowledge develops exponentially.. But, even our measured intellect gives us an opportunity to penetrate into the deepest mysteries of the nature. Isn’t it the sense of our life? (Michio Kaku “Hyperspace”)
  • 17. Thank you for your attention!