Sebastian Musslick, Laura K. Bartlett, Suyog H. Chandramouli, Marina Dubova, Fernand Gobet, Thomas L. Griffiths, Jessica Hullman, Ross D. King, J. Nathan Kutz, Christopher G. Lucas, Suhas Mahesh, Franco Pestilli, Sabina J. Sloman, William R. Holmes
{"title":"科学实践自动化 -- 机遇、挑战和影响","authors":"Sebastian Musslick, Laura K. Bartlett, Suyog H. Chandramouli, Marina Dubova, Fernand Gobet, Thomas L. Griffiths, Jessica Hullman, Ross D. King, J. Nathan Kutz, Christopher G. Lucas, Suhas Mahesh, Franco Pestilli, Sabina J. Sloman, William R. Holmes","doi":"arxiv-2409.05890","DOIUrl":null,"url":null,"abstract":"Automation transformed various aspects of our human civilization,\nrevolutionizing industries and streamlining processes. In the domain of\nscientific inquiry, automated approaches emerged as powerful tools, holding\npromise for accelerating discovery, enhancing reproducibility, and overcoming\nthe traditional impediments to scientific progress. This article evaluates the\nscope of automation within scientific practice and assesses recent approaches.\nFurthermore, it discusses different perspectives to the following questions:\nWhere do the greatest opportunities lie for automation in scientific practice?;\nWhat are the current bottlenecks of automating scientific practice?; and What\nare significant ethical and practical consequences of automating scientific\npractice? By discussing the motivations behind automated science, analyzing the\nhurdles encountered, and examining its implications, this article invites\nresearchers, policymakers, and stakeholders to navigate the rapidly evolving\nfrontier of automated scientific practice.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":"296 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automating the Practice of Science -- Opportunities, Challenges, and Implications\",\"authors\":\"Sebastian Musslick, Laura K. Bartlett, Suyog H. Chandramouli, Marina Dubova, Fernand Gobet, Thomas L. Griffiths, Jessica Hullman, Ross D. King, J. Nathan Kutz, Christopher G. Lucas, Suhas Mahesh, Franco Pestilli, Sabina J. Sloman, William R. Holmes\",\"doi\":\"arxiv-2409.05890\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automation transformed various aspects of our human civilization,\\nrevolutionizing industries and streamlining processes. In the domain of\\nscientific inquiry, automated approaches emerged as powerful tools, holding\\npromise for accelerating discovery, enhancing reproducibility, and overcoming\\nthe traditional impediments to scientific progress. This article evaluates the\\nscope of automation within scientific practice and assesses recent approaches.\\nFurthermore, it discusses different perspectives to the following questions:\\nWhere do the greatest opportunities lie for automation in scientific practice?;\\nWhat are the current bottlenecks of automating scientific practice?; and What\\nare significant ethical and practical consequences of automating scientific\\npractice? By discussing the motivations behind automated science, analyzing the\\nhurdles encountered, and examining its implications, this article invites\\nresearchers, policymakers, and stakeholders to navigate the rapidly evolving\\nfrontier of automated scientific practice.\",\"PeriodicalId\":501043,\"journal\":{\"name\":\"arXiv - PHYS - Physics and Society\",\"volume\":\"296 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Physics and Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.05890\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Physics and Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.05890","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automating the Practice of Science -- Opportunities, Challenges, and Implications
Automation transformed various aspects of our human civilization,
revolutionizing industries and streamlining processes. In the domain of
scientific inquiry, automated approaches emerged as powerful tools, holding
promise for accelerating discovery, enhancing reproducibility, and overcoming
the traditional impediments to scientific progress. This article evaluates the
scope of automation within scientific practice and assesses recent approaches.
Furthermore, it discusses different perspectives to the following questions:
Where do the greatest opportunities lie for automation in scientific practice?;
What are the current bottlenecks of automating scientific practice?; and What
are significant ethical and practical consequences of automating scientific
practice? By discussing the motivations behind automated science, analyzing the
hurdles encountered, and examining its implications, this article invites
researchers, policymakers, and stakeholders to navigate the rapidly evolving
frontier of automated scientific practice.