Decision, Risk, and Operations Division, Columbia Business School
E480326
The Decision, Risk, and Operations Division at Columbia Business School is an academic department focused on research and teaching in operations management, decision science, and risk analysis within business contexts.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Decision, Risk, and Operations Division, Columbia Business School canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4928595 — 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: Decision, Risk, and Operations Division, Columbia Business School Context triple: [Costis Maglaras, affiliation, Decision, Risk, and Operations Division, Columbia Business School]
-
A.
Wharton Risk Management and Decision Processes Center
Wharton Risk Management and Decision Processes Center is a research center at the Wharton School that focuses on understanding, modeling, and improving decision-making related to risk, uncertainty, and public policy.
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B.
Center for Decision, Risk, Controls
The Center for Decision, Risk, Controls is a Naval Postgraduate School research center focused on advancing methods and technologies for decision-making, risk analysis, and control systems in complex defense and security environments.
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C.
Department of Economics, Columbia University
The Department of Economics at Columbia University is a leading academic center for economic research and graduate and undergraduate education, known for its influential faculty and contributions to macroeconomics, econometrics, and economic theory.
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D.
Department of Industrial Engineering and Operations Research, UC Berkeley
The Department of Industrial Engineering and Operations Research at UC Berkeley is a leading academic department specializing in optimization, stochastic processes, data analytics, and systems engineering for complex decision-making in industry and society.
-
E.
Division of Economic and Risk Analysis
The Division of Economic and Risk Analysis is the U.S. Securities and Exchange Commission’s unit responsible for providing economic, financial, and risk-based analysis to inform securities regulation and policy decisions.
- 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: Decision, Risk, and Operations Division, Columbia Business School Target entity description: The Decision, Risk, and Operations Division at Columbia Business School is an academic department focused on research and teaching in operations management, decision science, and risk analysis within business contexts.
-
A.
Wharton Risk Management and Decision Processes Center
Wharton Risk Management and Decision Processes Center is a research center at the Wharton School that focuses on understanding, modeling, and improving decision-making related to risk, uncertainty, and public policy.
-
B.
Center for Decision, Risk, Controls
The Center for Decision, Risk, Controls is a Naval Postgraduate School research center focused on advancing methods and technologies for decision-making, risk analysis, and control systems in complex defense and security environments.
-
C.
Department of Economics, Columbia University
The Department of Economics at Columbia University is a leading academic center for economic research and graduate and undergraduate education, known for its influential faculty and contributions to macroeconomics, econometrics, and economic theory.
-
D.
Department of Industrial Engineering and Operations Research, UC Berkeley
The Department of Industrial Engineering and Operations Research at UC Berkeley is a leading academic department specializing in optimization, stochastic processes, data analytics, and systems engineering for complex decision-making in industry and society.
-
E.
Division of Economic and Risk Analysis
The Division of Economic and Risk Analysis is the U.S. Securities and Exchange Commission’s unit responsible for providing economic, financial, and risk-based analysis to inform securities regulation and policy decisions.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
academic division
ⓘ
university department ⓘ |
| abbreviation | DRO NERFINISHED ⓘ |
| academicFocus |
research in decision science
ⓘ
research in operations management ⓘ research in risk analysis ⓘ teaching in decision science ⓘ teaching in operations management ⓘ teaching in risk analysis ⓘ |
| affiliation | Ivy League university ⓘ |
| campus | Manhattanville campus NERFINISHED ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| educates |
MBA students
ⓘ
PhD students ⓘ executive education participants ⓘ |
| employs |
administrative staff
ⓘ
faculty members ⓘ research staff ⓘ |
| fieldOfWork |
business analytics
ⓘ
data-driven decision making ⓘ decision science ⓘ financial engineering ⓘ healthcare operations ⓘ operations management ⓘ operations research ⓘ optimization ⓘ revenue management ⓘ risk analysis ⓘ risk management ⓘ service operations ⓘ stochastic modeling ⓘ supply chain management ⓘ |
| focusesOn |
design and management of operations systems
ⓘ
modeling and managing risk in business contexts ⓘ quantitative methods for business decisions ⓘ |
| languageOfInstruction | English ⓘ |
| locatedIn |
Manhattan
ⓘ
New York NERFINISHED ⓘ New York City ⓘ |
| offers |
MBA courses
ⓘ
doctoral courses ⓘ executive education courses ⓘ |
| partOf |
Columbia Business School
NERFINISHED
ⓘ
Columbia University NERFINISHED ⓘ |
| researchOutput |
academic journal articles
ⓘ
case studies ⓘ working papers ⓘ |
| website | https://business.columbia.edu/faculty-research/academic-divisions/decision-risk-and-operations ⓘ |
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: Decision, Risk, and Operations Division, Columbia Business School Description of subject: The Decision, Risk, and Operations Division at Columbia Business School is an academic department focused on research and teaching in operations management, decision science, and risk analysis within business contexts.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.