Statistics and Public Policy
E728775
Statistics and Public Policy is a peer-reviewed academic journal focusing on the application of statistical methods to issues in public policy and governance.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Statistics and Public Policy canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8349476 — 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: Statistics and Public Policy Context triple: [American Statistical Association, publishes, Statistics and Public Policy]
-
A.
Statistical Policy Directives
Statistical Policy Directives are authoritative U.S. federal guidelines that standardize how government agencies collect, produce, and disseminate official statistics.
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B.
Master of Science in Computational Analysis and Public Policy
The Master of Science in Computational Analysis and Public Policy is an interdisciplinary graduate program that trains students to apply advanced data science, statistics, and computational methods to the design and evaluation of public policy.
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C.
Committee on Statistics and Statistical Policy
The Committee on Statistics and Statistical Policy is an OECD body that guides and coordinates international statistical standards, data quality, and evidence-based policymaking across member countries.
-
D.
Statistics
Statistics is a Julia standard library module that provides basic statistical functions such as means, variances, and related summary measures for numerical data.
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E.
Fundamental Principles of Official Statistics
The Fundamental Principles of Official Statistics are a set of internationally agreed guidelines that define the professional and ethical standards for producing reliable, impartial, and high-quality official statistics.
- 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: Statistics and Public Policy Target entity description: Statistics and Public Policy is a peer-reviewed academic journal focusing on the application of statistical methods to issues in public policy and governance.
-
A.
Statistical Policy Directives
Statistical Policy Directives are authoritative U.S. federal guidelines that standardize how government agencies collect, produce, and disseminate official statistics.
-
B.
Master of Science in Computational Analysis and Public Policy
The Master of Science in Computational Analysis and Public Policy is an interdisciplinary graduate program that trains students to apply advanced data science, statistics, and computational methods to the design and evaluation of public policy.
-
C.
Committee on Statistics and Statistical Policy
The Committee on Statistics and Statistical Policy is an OECD body that guides and coordinates international statistical standards, data quality, and evidence-based policymaking across member countries.
-
D.
Statistics
Statistics is a Julia standard library module that provides basic statistical functions such as means, variances, and related summary measures for numerical data.
-
E.
Fundamental Principles of Official Statistics
The Fundamental Principles of Official Statistics are a set of internationally agreed guidelines that define the professional and ethical standards for producing reliable, impartial, and high-quality official statistics.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf | academic journal ⓘ |
| academicDiscipline |
public policy
ⓘ
statistics ⓘ |
| documentType | scholarly journal ⓘ |
| focusesOn |
application of statistical methods to public policy
ⓘ
governance issues ⓘ |
| hasFormat | online ⓘ |
| hasReviewProcess |
editorial review
ⓘ
external peer review ⓘ |
| language | English ⓘ |
| peerReviewed | true ⓘ |
| publishes |
case studies in public policy
ⓘ
methodological papers ⓘ research articles ⓘ |
| publishesOnTopic |
administrative data analysis
ⓘ
administrative records linkage ⓘ big data in public policy ⓘ causal inference in public policy ⓘ confidentiality and privacy in policy data ⓘ criminal justice policy statistics ⓘ data-driven governance ⓘ economic policy statistics ⓘ education policy statistics ⓘ environmental policy statistics ⓘ evidence-based policymaking ⓘ longitudinal data in policy analysis ⓘ measurement issues in policy research ⓘ policy evaluation ⓘ program evaluation ⓘ public health policy statistics ⓘ risk assessment in public policy ⓘ sampling for policy studies ⓘ small area estimation for policy ⓘ social welfare policy statistics ⓘ statistical communication for policymakers ⓘ statistical ethics in policy ⓘ statistical modeling of policy outcomes ⓘ survey methodology for policy ⓘ |
| subjectArea |
applied statistics
ⓘ
governance ⓘ policy analysis ⓘ social sciences ⓘ |
| targetAudience |
academics
ⓘ
government officials ⓘ policy analysts ⓘ public policy researchers ⓘ statisticians ⓘ |
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: Statistics and Public Policy Description of subject: Statistics and Public Policy is a peer-reviewed academic journal focusing on the application of statistical methods to issues in public policy and governance.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.