Reinventing Discovery: The New Era of Networked Science

By Thomas Vogt. 2012

358 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/1fb3559135fa2411563278e8075648f855518c04

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Citations in the corpus

Opening science: towards an agenda of open science in academia and industry (2014, background): “, Howells 2008; Herstatt and Kalogerakis 2005), open science (e.g., Bartling and Friesike 2014; De Roure et al. 2010; Grand et al. 2012; Gowers and Nielsen 2009; Haeussler 2011; Jong and Slavova 2014; Lievrouw 2010; Meyer and Schroeder 2013; Mukherjee and Stern 2009; Neylon and Wu 2009; Nielsen 2012”
Smart cities of the future (2012, neutral): “Indeed new models of scientiﬁc discovery are emerging from developments in rather focussed crowd-sourcing and these are applicable to how we might ﬁgure out good designs for eﬃcient and equitable cities [33].”
OpenML: networked science in machine learning (2014, background): “The key to do this seems to lie in extending the reputation system [29].”
ITK: enabling reproducible research and open science (2014, neutral): “The large majority of research activity today is focused on generating nov-elty, and only in exceptional cases, concerned with the veriﬁcation of reproducibility (Nielsen, 2011; Begley and Ellis, 2012; Nature, 2012a,b,c; Couzin-Frankel, 2013; Vasilevsky et al., 2013).”
Biological Imaging Software Tools (2012, background): “These highly networked collaborations are a common property of open-source software projects, multiplying the value of a simple software resource and enabling the attack of scientific problems too large or interdisciplinary to be addressed in individual labs 56 .”
The Handbook of Neoliberalism (2016, background): “…and anti-proprietary innovations in knowledge production, circulation and teaching, the emerging project of open science, open data, open access publishing (Royal Society 2012; Nielsen 2012) and ‘massively open online courses’ (MOOCs) is actually exactly the same process (Tyfield 2013).”
THE ROLE OF INFORMATION IN INNOVATION AND COMPETITION (2016, background): “Similarly an international agreement, the ”Bermuda Principles,” was reached in 1996 to require biologists to share their data on human genome research online (Nielson, 2011).”
OpenML: An R package to connect to the machine learning platform OpenML (2017, methodology): “For the random forest , we use the implementation from the package randomForest (Liaw and Wiener, 2002).”
Crowdsourcing for climate and atmospheric sciences: current status and future potential (2015, neutral): “Such schemes may indeed set the foundation for a future ‘data web’ (Nielsen, 2011).”
OpenWorm: an open-science approach to modeling Caenorhabditis elegans (2014, background): “A more radical proposal has been that of open science (Nielsen, 2012).”
Scholarly use of social media and altmetrics: A review of the literature (2016, background): “Nielsen (2012) describes the open science revolution that is happening in are era of networked science.”