Institute of Statistical Science, Academia Sinica
E943563
The Institute of Statistical Science, Academia Sinica is a leading research institute in Taiwan dedicated to advancing statistical theory, methodology, and interdisciplinary applications.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Institute of Statistical Science, Academia Sinica canonical | 1 |
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
academic institute
ⓘ
research institute ⓘ statistics research institute ⓘ |
| affiliation | Division of Mathematics and Physical Sciences, Academia Sinica NERFINISHED ⓘ |
| collaboratesWith |
international research institutions
ⓘ
universities in Taiwan ⓘ |
| country | Taiwan NERFINISHED ⓘ |
| employs |
postdoctoral researchers in statistics
ⓘ
research fellows in statistics ⓘ visiting scholars in statistics ⓘ |
| fieldOfWork |
biostatistics
ⓘ
data science ⓘ interdisciplinary applications of statistics ⓘ probability theory ⓘ statistical methodology ⓘ statistical theory ⓘ statistics ⓘ |
| focusesOn |
high-impact statistical research
ⓘ
training of young statisticians ⓘ |
| hasWebsite | https://www.stat.sinica.edu.tw ⓘ |
| languageOfWork |
Chinese
ⓘ
English ⓘ |
| locatedIn |
Academia Sinica campus
ⓘ
Taipei NERFINISHED ⓘ |
| mission |
advancement of statistical methodology
ⓘ
advancement of statistical theory ⓘ promotion of interdisciplinary statistical research ⓘ |
| notablePublication | Statistica Sinica (through close association and contributions) ⓘ |
| offers |
distinguished research fellow positions
ⓘ
joint appointments with universities ⓘ postdoctoral positions ⓘ research fellow positions ⓘ |
| organizes |
international conferences in statistics
ⓘ
seminars in statistics ⓘ workshops in statistics ⓘ |
| parentOrganization | Academia Sinica NERFINISHED ⓘ |
| partOf | Academia Sinica research institutes network NERFINISHED ⓘ |
| regionServed |
Taiwan
NERFINISHED
ⓘ
international research community ⓘ |
| researchFocus |
Bayesian statistics
ⓘ
applied statistics ⓘ biostatistical applications ⓘ computational statistics ⓘ environmental statistics ⓘ machine learning methods in statistics ⓘ statistical genetics ⓘ theoretical statistics ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Institute of Statistical Science, Academia Sinica Description of subject: The Institute of Statistical Science, Academia Sinica is a leading research institute in Taiwan dedicated to advancing statistical theory, methodology, and interdisciplinary applications.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.