It’s time to scale the science in the social sciences
The social sciences are at a remarkable confluence of events. Advances in computing have made it feasible to analyze data at the scale of the population of the world. How can we combine the depth of inquiry in the social sciences with the scale and robustness of statistics and computer science? Can...
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2014-07-01
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| Series: | Big Data & Society |
| Online Access: | https://doi.org/10.1177/2053951714532240 |
| _version_ | 1818305287119962112 |
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| author | Prabhakar Raghavan |
| author_facet | Prabhakar Raghavan |
| author_sort | Prabhakar Raghavan |
| collection | DOAJ |
| description | The social sciences are at a remarkable confluence of events. Advances in computing have made it feasible to analyze data at the scale of the population of the world. How can we combine the depth of inquiry in the social sciences with the scale and robustness of statistics and computer science? Can we decompose complex questions in the social sciences into simpler, more robustly testable hypotheses? We discuss these questions and the role of machine learning in the social sciences. |
| first_indexed | 2024-12-13T06:24:11Z |
| format | Article |
| id | doaj.art-460877e2746e4ec993d299162bb61adc |
| institution | Directory Open Access Journal |
| issn | 2053-9517 |
| language | English |
| last_indexed | 2024-12-13T06:24:11Z |
| publishDate | 2014-07-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Big Data & Society |
| spelling | doaj.art-460877e2746e4ec993d299162bb61adc2022-12-21T23:56:46ZengSAGE PublishingBig Data & Society2053-95172014-07-01110.1177/205395171453224010.1177_2053951714532240It’s time to scale the science in the social sciencesPrabhakar RaghavanThe social sciences are at a remarkable confluence of events. Advances in computing have made it feasible to analyze data at the scale of the population of the world. How can we combine the depth of inquiry in the social sciences with the scale and robustness of statistics and computer science? Can we decompose complex questions in the social sciences into simpler, more robustly testable hypotheses? We discuss these questions and the role of machine learning in the social sciences.https://doi.org/10.1177/2053951714532240 |
| spellingShingle | Prabhakar Raghavan It’s time to scale the science in the social sciences Big Data & Society |
| title | It’s time to scale the science in the social sciences |
| title_full | It’s time to scale the science in the social sciences |
| title_fullStr | It’s time to scale the science in the social sciences |
| title_full_unstemmed | It’s time to scale the science in the social sciences |
| title_short | It’s time to scale the science in the social sciences |
| title_sort | it s time to scale the science in the social sciences |
| url | https://doi.org/10.1177/2053951714532240 |
| work_keys_str_mv | AT prabhakarraghavan itstimetoscalethescienceinthesocialsciences |