University reference

Frost Institute for Data Science & Computing

Frost Institute for Data Science & Computing, established in 2007, is an active ROR organization in Coral Gables, US. ROR classifies the organization under education. This profile preserves public aliases, acronyms, external identifiers, location details and organization relationships supplied by the Research Organization Registry, then links the record to other organizations in the same city and country and to recorded airports in the same city. It is a directory profile, not a university ranking, quality assessment, admissions guide or statement of endorsement by ROR or DataOfWorld.

2City Organizations
4,366Country Organizations
1Country Count
1Ror Parent Count
1City Peers Count
5Country Peers Count
5Established Peers Count

Key facts

ROR identifier
https://ror.org/04mkd6r71
Country
US
City
Coral Gables
Administrative area
Florida
Website
https://idsc.miami.edu
Established
2007
Organization types
education
Aliases
Frost Institute for Data Science and Computing, U Miami Frost Institute for Data Science & Computing, University of Miami Frost Institute for Data Science & Computing
Acronyms
IDSC
External identifiers
Organization relationships
parent02dgjyy92
Latitude
25.72149
Longitude
-80.26838
ROR last modified
2026-03-31

ROR identity context

Names, identifiers and relationships

These identifiers describe the organization record and do not imply ranking or endorsement.

AliasesFrost Institute for Data Science and Computing, U Miami Frost Institute for Data Science & Computing, University of Miami Frost Institute for Data Science & Computing
AcronymsIDSC
ROR parent relationships02dgjyy92

OpenAlex institution metadata

Works and research-topic context

Institution-level directory statistics only; they are not rankings, quality judgments or endorsements.

0Indexed works
0Citations recorded

Field-level provenance

Sources for this profile

Dates and licenses apply to the specific facts and series supplied by each source.

Reference data can change. Verify consequential decisions against the original source.