Assuntos
Infecções por Coronavirus/epidemiologia , Modelos Teóricos , Pneumonia Viral/epidemiologia , Ciências Sociais , Incerteza , Viés , COVID-19 , Análise Custo-Benefício , Política de Saúde , Humanos , Modelos Biológicos , Pandemias/estatística & dados numéricos , Política , Saúde Pública/métodos , Saúde Pública/normas , Reprodutibilidade dos TestesRESUMO
On March 3rd, 2016, the authors of this note hosted a conference entitled 'Destabilized Science' at the University of California, Los Angeles, to which we invited two representatives of core actors within the new science watchdog pack: Ivan Oransky, co-founder in 2010 of Retraction Watch, and Brandon Stell, co-founder in 2012 of PubPeer. After the formal conference, we organized a roundtable to discuss these invitees' experience and their vision of contemporary science. Mario Biagioli (University of California, Davis), Michael Chwe (UCLA) and Aaron Panofsky (UCLA) participated to the conversation. An edited transcript of the discussion and a short podcast version are being published on Transmissions ( ssstransmissions.org ) the new blog associated with Social Studies of Science.
Assuntos
Ciência/organização & administração , Ciência/normasRESUMO
There is a rich body of literature on numbers as tools of governance. But the attention of the corpus in question is almost entirely on the rational properties of quantification. This article shows that government by numbers is also, and inseparably, a government by feelings. The Covid-19 pandemic was also a datademic in the sense that numbers populated and spread through the public sphere. We focus on three cases. Death tolls were associated with fear, immunization rates were linked to hope, and the threshold of 100,000 deaths was credited with symbolic significance. This article, based on the French case, examines how data like these, frequently perceived as objective evidence, can at the same time be a source of emotional engagement and, as such, be used to inform modes of public governance in times of crises.