Northcott, Robert (2019) Big data and prediction: four case studies. Studies in History and Philosophy of Science Part A , ISSN 0039-3681.
|
Text
Big data 12.pdf - Author's Accepted Manuscript Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (304kB) | Preview |
Abstract
Has the rise of data-intensive science, or ‘big data’, revolutionized our ability to predict? Does it imply a new priority for prediction over causal understanding, and a diminished role for theory and human experts? I examine four important cases where prediction is desirable: political elections, the weather, GDP, and the results of interventions suggested by economic experiments. These cases suggest caution. Although big data methods are indeed very useful sometimes, in this paper’s cases they improve predictions either limitedly or not at all, and their prospects of doing so in the future are limited too.
Metadata
| Item Type: | Article |
|---|---|
| Keyword(s) / Subject(s): | Big data, prediction, case studies, explanation, elections, weather |
| School: | Birkbeck Faculties and Schools > Faculty of Humanities and Social Sciences > School of Historical Studies |
| Depositing User: | Robert Northcott |
| Date Deposited: | 19 Sep 2019 15:38 |
| Last Modified: | 30 Jul 2025 14:07 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/29013 |
Statistics
Additional statistics are available via IRStats2.
Archive Staff Only (login required)
