Costruire scenari per il futuro

dc.contributor.authorTagliagambe, Silvano
dc.date.accessioned2018-09-24T09:12:52Z
dc.date.available2018-09-24T09:12:52Z
dc.date.issued2017
dc.description.abstractIn 2008 Chris Anderson wrote a provocative piece titled The End of Theory. The idea being that we no longer need to abstract and hypothesis; we simply need to let machines lead us to the patterns, trends, and relationships in social, economic, political, and environmental relationships. According to Anderson, the new availability of huge amounts of data offers a whole new way of understanding the world. Correlation supersedes causation, and science can advance even without coherent models and unified theories. But numbers, contrary to Anderson’s assertion, do not, in fact, speak for themselves. From the neuroscience’s standpoint, every choice we make is a reflection of an, often unstated, set of assumptions and hypotheses about what we want and expect from the data: no assertion, no prediction, no decision making is possible without an a priori opinion, without a project. Data-driven science essentially refers to the application of mathematics and technology on data to extract insights for problems, which are very clearly defined. In the real world, however, not all problems are such. To help solve them, one needs to understand and appreciate the context. The problem of landscape becomes, for this reason, critical and decisive. It requires an interdisciplinary approach consisting of several different competencies and skills.pl
dc.description.articlenumber8pl
dc.description.journaltitleEthics in Progresspl
dc.description.number1pl
dc.description.pageof117pl
dc.description.pageto146pl
dc.description.volume8pl
dc.identifier.citationEthics in Progress (ISSN 2084-9257). Vol. 8 (2017). No. 1, Art. #8, pp. 117-146. Doi: 10.14746/eip.2017.1.8pl
dc.identifier.doihttps://doi.org/10.14746/eip.2017.1.8
dc.identifier.issn2084-9257
dc.identifier.urihttp://hdl.handle.net/10593/23881
dc.language.isoitapl
dc.publisherWydawnictwo Naukowe Instytutu Filozofii UAMpl
dc.rightsinfo:eu-repo/semantics/openAccesspl
dc.subjectBig Datapl
dc.subjectModelpl
dc.subjectProjectpl
dc.subjectLandscapepl
dc.subjectAntifragilitypl
dc.subjectDemocracypl
dc.titleCostruire scenari per il futuropl
dc.typeArtykułpl

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Uniwersytet im. Adama Mickiewicza w Poznaniu
Biblioteka Uniwersytetu im. Adama Mickiewicza w Poznaniu
Ministerstwo Nauki i Szkolnictwa WyĹĽszego