Interdisciplinary research in artificial intelligence: Lessons from COVID-19
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The MIT Press
2024-10-01
|
| Series: | Quantitative Science Studies |
| Online Access: | http://dx.doi.org/10.1162/qss_a_00329 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850259547088748544 |
|---|---|
| author | Diletta Abbonato Stefano Bianchini Floriana Gargiulo Tommaso Venturini |
| author_facet | Diletta Abbonato Stefano Bianchini Floriana Gargiulo Tommaso Venturini |
| author_sort | Diletta Abbonato |
| collection | DOAJ |
| format | Article |
| id | doaj-art-8a5c4b207d644e0bbb8565e030975ad4 |
| institution | OA Journals |
| issn | 2641-3337 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | The MIT Press |
| record_format | Article |
| series | Quantitative Science Studies |
| spelling | doaj-art-8a5c4b207d644e0bbb8565e030975ad42025-08-20T01:55:50ZengThe MIT PressQuantitative Science Studies2641-33372024-10-0110.1162/qss_a_00329Interdisciplinary research in artificial intelligence: Lessons from COVID-19Diletta AbbonatoStefano BianchiniFloriana GargiuloTommaso Venturinihttp://dx.doi.org/10.1162/qss_a_00329 |
| spellingShingle | Diletta Abbonato Stefano Bianchini Floriana Gargiulo Tommaso Venturini Interdisciplinary research in artificial intelligence: Lessons from COVID-19 Quantitative Science Studies |
| title | Interdisciplinary research in artificial intelligence: Lessons from COVID-19 |
| title_full | Interdisciplinary research in artificial intelligence: Lessons from COVID-19 |
| title_fullStr | Interdisciplinary research in artificial intelligence: Lessons from COVID-19 |
| title_full_unstemmed | Interdisciplinary research in artificial intelligence: Lessons from COVID-19 |
| title_short | Interdisciplinary research in artificial intelligence: Lessons from COVID-19 |
| title_sort | interdisciplinary research in artificial intelligence lessons from covid 19 |
| url | http://dx.doi.org/10.1162/qss_a_00329 |
| work_keys_str_mv | AT dilettaabbonato interdisciplinaryresearchinartificialintelligencelessonsfromcovid19 AT stefanobianchini interdisciplinaryresearchinartificialintelligencelessonsfromcovid19 AT florianagargiulo interdisciplinaryresearchinartificialintelligencelessonsfromcovid19 AT tommasoventurini interdisciplinaryresearchinartificialintelligencelessonsfromcovid19 |