Scientific Research at the P.P. Shirshov Institute of Oceanology

Author(s):  
Vyacheslav S. Yastrebov
2021 ◽  
Vol 49 (3) ◽  
pp. 171-178
Author(s):  
A. B. Zubin ◽  
V. T. Paka

This article publishes the memoirs about Andrei Sergeevich Monin – an outstanding scientist in geophysics, oceanologist, public figure, doctor of physical and mathematical sciences (1956), professor (1963), academician of the Russian Academy of Sciences (2000), director of the of the Shirshov Institute of oceanology of RAS in 1965–1987. A.S. Monin was not only a brilliant scientist (theoretician and practitioner), not only a talented leader and organizer of scientific research, which made it possible to bring oceanology in our institute, and in the country as a whole, to a new – higher – level, but also an interesting, outstanding person. Personality with a capital letter. And we, the authors of this article, are proud that we knew Andrei Sergeevich personally and worked with him.


2019 ◽  
Vol 47 (1) ◽  
pp. 225-229
Author(s):  
N.B. Stepanova

In 2018, an “IO RAS Sailing University” educational program was launched with the support of the Administration of the Shirshov Institute of Oceanology RAS (IO RAS) and the Young Scientists Council. The aim of the project was to create an environment that would allow students and researchers of the Shirshov Institute of Oceanology to implement scientific research and field work in direct contact with each other in addition to and close connection with the existing traditional methods of education. During the first working year a working cycle was formed, including 4 stages: scientific school, coastal practice, sea expeditions and publication of the obtained results. The second year of the project was opened by the 2nd Scientific School “IO RAS Sailing University”, which was called to strengthen the connection between higher education facilities and the Institute of Oceanology with the aim of acquiring young scientific human resources in future.


1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.


2019 ◽  
Vol 35 (5) ◽  
pp. 737-750 ◽  
Author(s):  
Christopher Gess ◽  
Christoph Geiger ◽  
Matthias Ziegler

Abstract. Although the development of research competency is an important goal of higher education in social sciences, instruments to measure this outcome often depend on the students’ self-ratings. To provide empirical evidence for the utility of a newly developed instrument for the objective measurement of social-scientific research competency, two validation studies across two independent samples were conducted. Study 1 ( n = 675) provided evidence for unidimensionality, expected differences in test scores between differently advanced groups of students as well as incremental validities over and above self-perceived research self-efficacy. In Study 2 ( n = 82) it was demonstrated that the competency measured indeed is social-scientific and relations to facets of fluid and crystallized intelligence were analyzed. Overall, the results indicate that the test scores reflected a trainable, social-scientific, knowledge-related construct relevant to research performance. These are promising results for the application of the instrument in the evaluation of research education courses in higher education.


1978 ◽  
Vol 23 (5) ◽  
pp. 356-358
Author(s):  
ALCINE POTTS LUKENBACH
Keyword(s):  

Author(s):  
Lisa Towne ◽  
◽  
Lauress L. Wise ◽  
Tina M. Winters

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