MIT Institute for Data, Systems, and Society
E228294
The MIT Institute for Data, Systems, and Society is an interdisciplinary research and education institute at the Massachusetts Institute of Technology focused on data science, systems engineering, and social science to address complex societal challenges.
All labels observed (2)
| Label | Occurrences |
|---|---|
| MIT Institute for Data, Systems, and Society canonical | 2 |
| IDSS | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2058390 — 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.
Target entity: MIT Institute for Data, Systems, and Society Context triple: [MIT Laboratory for Information and Decision Systems, collaboratesWith, MIT Institute for Data, Systems, and Society]
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A.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
The Computer Science and Artificial Intelligence Laboratory (CSAIL) is MIT’s premier research lab for computer science, artificial intelligence, and related fields, known for pioneering work in areas such as robotics, machine learning, and systems.
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B.
Schwarzman College of Computing
Schwarzman College of Computing is MIT’s interdisciplinary hub for computer science, artificial intelligence, and computing-related research and education across the institute.
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C.
MIT Laboratory for Information and Decision Systems
The MIT Laboratory for Information and Decision Systems is a research laboratory at the Massachusetts Institute of Technology focused on advancing the theory and applications of systems, control, communications, and data science.
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D.
MIT Program in Science, Technology, and Society
The MIT Program in Science, Technology, and Society is an interdisciplinary academic program that examines the social, historical, and cultural dimensions of science and technology.
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E.
MIT School of Engineering
The MIT School of Engineering is the largest and most renowned academic unit of the Massachusetts Institute of Technology, known globally for pioneering research and education in engineering and applied sciences.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: MIT Institute for Data, Systems, and Society Target entity description: The MIT Institute for Data, Systems, and Society is an interdisciplinary research and education institute at the Massachusetts Institute of Technology focused on data science, systems engineering, and social science to address complex societal challenges.
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A.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
The Computer Science and Artificial Intelligence Laboratory (CSAIL) is MIT’s premier research lab for computer science, artificial intelligence, and related fields, known for pioneering work in areas such as robotics, machine learning, and systems.
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B.
Schwarzman College of Computing
Schwarzman College of Computing is MIT’s interdisciplinary hub for computer science, artificial intelligence, and computing-related research and education across the institute.
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C.
MIT Laboratory for Information and Decision Systems
The MIT Laboratory for Information and Decision Systems is a research laboratory at the Massachusetts Institute of Technology focused on advancing the theory and applications of systems, control, communications, and data science.
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D.
MIT Program in Science, Technology, and Society
The MIT Program in Science, Technology, and Society is an interdisciplinary academic program that examines the social, historical, and cultural dimensions of science and technology.
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E.
MIT School of Engineering
The MIT School of Engineering is the largest and most renowned academic unit of the Massachusetts Institute of Technology, known globally for pioneering research and education in engineering and applied sciences.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
MIT research center
ⓘ
educational institute ⓘ interdisciplinary research institute ⓘ |
| collaboratesWith |
MIT School of Engineering
ⓘ
School of Humanities, Arts, and Social Sciences at MIT ⓘ
surface form:
MIT School of Humanities, Arts, and Social Sciences
MIT School of Science ⓘ Schwarzman College of Computing ⓘ
surface form:
MIT Schwarzman College of Computing
MIT Sloan School of Management ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| focusesOn |
complex socio-technical systems
ⓘ
data science ⓘ decision science ⓘ machine learning ⓘ policy analysis ⓘ social science ⓘ societal challenges ⓘ statistics ⓘ systems engineering ⓘ |
| hasComponent |
Social and Engineering Systems doctoral program
ⓘ
Statistics and Data Science Center ⓘ Technology and Policy Program ⓘ |
| languageOfWork | English ⓘ |
| locatedIn | Massachusetts Institute of Technology ⓘ |
| locatedInCity | Cambridge, Massachusetts ⓘ |
| locatedInCountry |
United States of America
ⓘ
surface form:
United States
|
| locatedInState | Massachusetts ⓘ |
| mission |
to address complex societal challenges using data-driven methods
ⓘ
to advance education and research at the intersection of data, systems, and society ⓘ |
| offersProgram |
Interdisciplinary doctoral programs
ⓘ
Social and Engineering Systems PhD ⓘ Statistics PhD ⓘ Undergraduate minors and concentrations related to data and society ⓘ |
| parentOrganization | Massachusetts Institute of Technology ⓘ |
| partOf |
Schwarzman College of Computing
ⓘ
surface form:
MIT Schwarzman College of Computing
|
| researchArea |
climate and environment
ⓘ
energy systems ⓘ finance and economics ⓘ healthcare systems ⓘ information and decision systems ⓘ network science ⓘ public policy ⓘ risk and resilience ⓘ transportation systems ⓘ urban science ⓘ |
| sector | higher education ⓘ |
| shortName |
MIT Institute for Data, Systems, and Society
self-linksurface differs
ⓘ
surface form:
IDSS
|
| website | https://idss.mit.edu/ ⓘ |
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.
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.
Subject: MIT Institute for Data, Systems, and Society Description of subject: The MIT Institute for Data, Systems, and Society is an interdisciplinary research and education institute at the Massachusetts Institute of Technology focused on data science, systems engineering, and social science to address complex societal challenges.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.