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FEDERAL STATE-FINANCED INSTITUTION "ROSSIYSKAYA ACADEMY OBRAZOVANIYA", RUSSIAN FEDERATION ACADEMY EDUCATIONS, RUSSIAN JOINT STOCK COMPANY
OGRN: 1027739236106
TIN: 7704097513
Active. Last modified on: April 12, 2016
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Research and experimental development on social sciences and humanities
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President
Vasilieva Olga Yurievna
100
Reliability Score
63
Ranking position
President
Vasilieva Olga Yurievna
24
years
Established
May 17, 2000
City Moscow
Revenue
No data
487
Connections
+1
last week
Employees
No data
Stats Over Time
| Participation | Total number of cases | For the last year |
|---|---|---|
|
✖
Plaintiff
|
26 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Defendant
|
10 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Third party
|
20 cases (▒▒▒▒▒ ₽) | 2 cases (▒▒▒▒▒ ₽) |
|
✖
Other party
|
No cases as other party |
Positive outcome — ▒▒%
▒▒▒▒▒₽
- 10 cases (▒▒▒▒▒ ₽) won
- 3 cases (▒▒▒▒▒ ₽) partially won
- 5 cases (▒▒▒▒▒ ₽) not lost
Negative outcome — ▒▒%
▒▒▒▒▒₽
- 1 case (▒▒▒▒▒ ₽) lost
- 1 case (▒▒▒▒▒ ₽) partially lost
- 8 cases (▒▒▒▒▒ ₽) not won
Type of dispute
%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
Completed cases
As plaintiff (26)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (10)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As third party (20)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
Data sources
Information about company arbitration cases is collected from public sources.
Accurate binding to a company can be created only if the information source contains its TIN and OGRN values. If identification details are not specified, the binding is created by using linguistic algorithms. Although these algorithms are being constantly improved, some information may be absent.
If you have noticed an error or lack of information, please let us know about it. Let's improve Seldon.Basis together!
Data sources
Information about company arbitration cases is collected from public sources.
Accurate binding to a company can be created only if the information source contains its TIN and OGRN values. If identification details are not specified, the binding is created by using linguistic algorithms. Although these algorithms are being constantly improved, some information may be absent.
If you have noticed an error or lack of information, please let us know about it. Let's improve Seldon.Basis together!
