Centre for Statistics and Data Science
E535414
The Centre for Statistics and Data Science is a research and methodological unit within the Norwegian Institute of Public Health that develops and applies advanced statistical and data science approaches to support public health research and decision-making.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Centre for Statistics and Data Science canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5651876 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Centre for Statistics and Data Science Context triple: [Norwegian Institute of Public Health, hasPart, Centre for Statistics and Data Science]
-
A.
School of Data Science
The School of Data Science is an academic unit of Yokohama City University specializing in education and research in data analysis, statistics, and related computational fields.
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B.
School of Data Science
The School of Data Science at the University of Virginia is an academic unit dedicated to education and research in data science, analytics, and related computational fields.
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C.
School of Computer Science and Statistics
The School of Computer Science and Statistics is a leading academic unit of Trinity College Dublin specializing in computer science, data science, and statistical research and education.
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D.
Centre for Artificial Intelligence and Data Science
The Centre for Artificial Intelligence and Data Science is a research hub at Nanyang Technological University focused on advancing AI and data science technologies and their real-world applications.
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E.
Department of Statistics
The Department of Statistics is an academic unit within Rice University's George R. Brown School of Engineering that focuses on education and research in statistical theory, methods, and applications.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Centre for Statistics and Data Science Target entity description: The Centre for Statistics and Data Science is a research and methodological unit within the Norwegian Institute of Public Health that develops and applies advanced statistical and data science approaches to support public health research and decision-making.
-
A.
School of Data Science
The School of Data Science is an academic unit of Yokohama City University specializing in education and research in data analysis, statistics, and related computational fields.
-
B.
School of Data Science
The School of Data Science at the University of Virginia is an academic unit dedicated to education and research in data science, analytics, and related computational fields.
-
C.
School of Computer Science and Statistics
The School of Computer Science and Statistics is a leading academic unit of Trinity College Dublin specializing in computer science, data science, and statistical research and education.
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D.
Centre for Artificial Intelligence and Data Science
The Centre for Artificial Intelligence and Data Science is a research hub at Nanyang Technological University focused on advancing AI and data science technologies and their real-world applications.
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E.
Department of Statistics
The Department of Statistics is an academic unit at Cairo University's Faculty of Commerce that specializes in teaching and research in statistical theory and its applications in business and economics.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
data science research unit
ⓘ
methodological unit ⓘ research centre ⓘ statistics research unit ⓘ |
| activity |
applied statistical analysis
ⓘ
collaboration with public health researchers ⓘ consultation on statistical methods ⓘ data science applications in health ⓘ methodological research ⓘ |
| affiliation | Norwegian Institute of Public Health ⓘ |
| collaboratesWith |
international public health institutions
ⓘ
universities in Norway ⓘ |
| country | Norway ⓘ |
| employer |
biostatisticians
ⓘ
data scientists ⓘ epidemiologists ⓘ research software engineers ⓘ |
| field |
biostatistics
ⓘ
causal inference ⓘ data science ⓘ epidemiology methods ⓘ health data analysis ⓘ machine learning ⓘ public health ⓘ statistical modelling ⓘ statistics ⓘ |
| focus |
analysis of health registries
ⓘ
evaluation of public health interventions ⓘ risk assessment in public health ⓘ supporting national public health surveillance ⓘ |
| language |
English
ⓘ
Norwegian ⓘ |
| location |
Oslo, Norway
ⓘ
linked to:
Oslo
|
| parentOrganization | Norwegian Institute of Public Health ⓘ |
| partOf | Norwegian Institute of Public Health ⓘ |
| purpose |
to develop advanced data science methods for public health
ⓘ
to develop advanced statistical methods for public health ⓘ to support evidence-based decision-making in public health ⓘ to support public health research ⓘ |
| sector | public sector ⓘ |
| usesMethod |
Bayesian statistics
ⓘ
causal modelling ⓘ longitudinal data analysis ⓘ predictive modelling ⓘ statistical programming ⓘ survival analysis ⓘ |
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: Centre for Statistics and Data Science Description of subject: The Centre for Statistics and Data Science is a research and methodological unit within the Norwegian Institute of Public Health that develops and applies advanced statistical and data science approaches to support public health research and decision-making.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.