Year: 2024
Type: other
Abstract: All the work we've been doing on biodiversity (such as LIFE) comes at a fairly large computation and storage cost due to the amount of data that we churn through. This gets worse when you consider the exploratory nature of science -- we sometimes just need to mess around with the large dataset to test hypotheses which are often shown to be wrong.
DOI: 10.59350/9bm89-1c879
Author: Anil Madhavapeddy
Institution: University of Cambridge
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W7089478781
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