Editing Science (section)

===Computational ===
[[Computational science]] applies [[computer simulations]] to science, enabling a better understanding of scientific problems than formal mathematics alone can achieve. The use of [[machine learning]] and [[artificial intelligence]] is becoming a central feature of computational contributions to science, for example in [[agent-based computational economics]], [[random forest]]s, [[topic model]]ing and various forms of prediction. However, machines alone rarely advance knowledge as they require human guidance and capacity to reason; and they can introduce bias against certain social groups or sometimes underperform against humans.<ref>{{cite journal |last1=Breznau |first1=Nate |year=2022 |title=Integrating Computer Prediction Methods in Social Science: A Comment on Hofman et al. (2021) |journal=Social Science Computer Review |volume=40 |issue=3 |pages=844–853 |doi=10.1177/08944393211049776 |doi-access=free |s2cid=248334446 |url=https://osf.io/adxb3/download |access-date=16 August 2023 |archive-date=29 April 2024 |archive-url=https://web.archive.org/web/20240429040922/https://osf.io/adxb3/download |url-status=live}}</ref><ref>{{Cite journal |last1=Hofman |first1=Jake M. |last2=Watts |first2=Duncan J. |author2-link=Duncan J. Watts |last3=Athey |first3=Susan |author3-link=Susan Athey |last4=Garip |first4=Filiz |last5=Griffiths |first5=Thomas L. |author5-link=Tom Griffiths (cognitive scientist) |last6=Kleinberg |first6=Jon |author6-link=Jon Kleinberg |last7=Margetts |first7=Helen |author7-link=Helen Margetts |last8=Mullainathan |first8=Sendhil |author8-link=Sendhil Mullainathan |last9=Salganik |first9=Matthew J. |author9-link=Matthew J. Salganik |last10=Vazire |first10=Simine |author10-link=Simine Vazire |last11=Vespignani |first11=Alessandro |author11-link=Alessandro Vespignani |date=July 2021 |title=Integrating explanation and prediction in computational social science |url=https://www.nature.com/articles/s41586-021-03659-0 |url-status=live |journal=Nature |volume=595 |issue=7866 |pages=181–188 |bibcode=2021Natur.595..181H |doi=10.1038/s41586-021-03659-0 |issn=1476-4687 |pmid=34194044 |archive-url=https://web.archive.org/web/20210925074416/https://www.nature.com/articles/s41586-021-03659-0 |archive-date=25 September 2021 |access-date=25 September 2021 |s2cid=235697917}}</ref>