Jonathan Koomey
E809919
Jonathan Koomey is an energy and environmental researcher best known for formulating Koomey’s law, which describes the long-term trend of improving energy efficiency in computing.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Jonathan Koomey canonical | 2 |
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf |
empirical law
ⓘ
energy researcher ⓘ environmental researcher ⓘ observation in computing ⓘ person ⓘ researcher ⓘ |
| appliesTo |
computing
ⓘ
data center computing equipment ⓘ information technology hardware ⓘ microprocessors ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| describes | long-term trend of improving energy efficiency in computing ⓘ |
| educatedAt | University of California, Berkeley ⓘ |
| fieldOfWork |
computing energy use
ⓘ
energy efficiency ⓘ environmental science ⓘ information technology and energy ⓘ |
| formulated | Koomey’s law NERFINISHED ⓘ |
| hasAuthor | Jonathan Koomey NERFINISHED ⓘ |
| hasConceptNamedAfter | Koomey’s law NERFINISHED ⓘ |
| hasPublishedOn |
IT and sustainability
ⓘ
building energy use ⓘ carbon emissions accounting ⓘ clean energy technologies ⓘ climate change mitigation ⓘ data center electricity use ⓘ electricity demand forecasting ⓘ energy economics ⓘ energy policy ⓘ energy-efficient computing ⓘ environmental impacts of computing ⓘ |
| hasResearchFocus |
climate policy
ⓘ
electricity consumption of computing ⓘ energy use in data centers ⓘ greenhouse gas emissions ⓘ |
| hasRole |
advisor on energy and environmental policy
ⓘ
expert on IT and climate change ⓘ expert on data center energy use ⓘ |
| knownFor | Koomey’s law NERFINISHED ⓘ |
| languageOfWorkOrName | English ⓘ |
| notableConcept | Koomey’s law NERFINISHED ⓘ |
| occupation |
author
ⓘ
consultant ⓘ scientist ⓘ |
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: Jonathan Koomey Description of subject: Jonathan Koomey is an energy and environmental researcher best known for formulating Koomey’s law, which describes the long-term trend of improving energy efficiency in computing.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.