Statistics, philosophy, and health: the SMAC 2021 webconference

被引:0
作者
Savy, Nicolas [1 ,2 ]
Moodie, Erica E. M. [3 ]
Drouet, Isabelle [4 ]
Chambaz, Antoine [5 ]
Falissard, Bruno [6 ]
Kosorok, Michael R. [7 ,8 ]
Krakow, Elizabeth F. [9 ,10 ]
Mayo, Deborah G.
Senn, Stephen
Van der Laan, Mark [11 ]
机构
[1] Univ Toulouse III, Toulouse Inst Math, Toulouse, France
[2] Univ Toulouse, IFERISS FED 4142, Toulouse, France
[3] McGill Univ, Dept Epidemiol & Biostat, Montreal, PQ, Canada
[4] Sorbonne Univ, SND UMR CNRS 8011, Paris, France
[5] Univ Paris, UMR CNRS 8145 MAP5, Paris, France
[6] Univ Paris Saclay, CESP, INSERM U1018, Villejuif, France
[7] Univ North Carolina Chapel Hill, Dept Biostat, Chapel Hill, NC USA
[8] Univ North Carolina Chapel Hill, Dept Stat & Operat Res, Chapel Hill, NC USA
[9] Fred Hutchinson Canc Res Ctr, Seattle, WA USA
[10] Virginia Tech, Dept Philosophy, Seattle, WA USA
[11] Univ Calif Berkeley, Sch Publ Hlth, Div Biostat, Berkeley, CA USA
关键词
artificial intelligence; Bayesian statistics; biostatistics; causality; health; philosophy;
D O I
10.1515/ijb-2022-0017
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
SMAC 2021 was a webconference organized in June 2021. The aim of this conference was to bring together data scientists, (bio)statisticians, philosophers, and any person interested in the questions of causality and Bayesian statistics, ranging from technical to philosophical aspects. This webconference consisted of keynote speakers and contributed speakers, and closed with a round-table organized in an unusual fashion. Indeed, organisers asked world renowned scientists to prepare two videos: a short video presenting a question of interest to them and a longer one presenting their point of view on the question. The first video served as a "teaser " for the conference and the second were presented during the conference as an introduction to the round-table. These videos and this round-table generated original scientific insights and discussion worthy of being shared with the community which we do by means of this paper.
引用
收藏
页码:261 / 269
页数:9
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