@Is it Big data?
— BlessedVirginDarwin (@OnNavalTimber) December 27, 2017
Big Data Always Finds its Own: Due to Big Data Analysis of Big Data, Big Data Paper Cites Big Data Paper: on Darwin's Proven Lies Cited in China and Detected by Google Scholar Big Data and then Disseminated here via Social Media Big Data https://t.co/MkB7203ySj pic.twitter.com/9roOzIAc4O
+ (Archived post http://archive.is/8VpVe)So, my nice Xmas present for 2017— Dr Mike Sutton (@Criminotweet) December 26, 2017
1. Google Big Data detects the New Data evidence for Darwin's plagiarizing science fraud. Published Dec 2014
2. Google Scholar detects work on Big Data in China citing it
For 1 & 2 See https://t.co/XRWUtppttk
What will 3 be in Xmas 2018? pic.twitter.com/vp4finmSgL
Facts are facts and are Insuppressible.
The paper cited is from
Papers from the British Criminology Conference 2014
(Archived here)
Paper title: The hi-tech detection of Darwin’s and Wallace’s possible science fraud: Big data criminology re-writes the history of contested discovery
Papers from the British Criminology Conference 2014
Vol. 14 ISSN 1759-0043
Crime, Justice, Welfare: Can the Metropole Listen?
Hosted by University of Liverpool
Hosted by University of Liverpool
Editor’s Note
In 2014 the British Society of Criminology Conference was hosted by the University of Liverpool. Held from 9th to 12th July the conference had the title “Crime, Justice, Welfare: Can the Metropole Listen?”. Sixteen papers were submitted to this conference journal, with five being accepted for publication. The journal has a rigorous peer-review process but (hopefully) a sympathetic approach to authors – especially early career and postgraduate authors – with helpful feedback and advice. I am hugely indebted to the editorial board, the various reviewers and the authors for making this journal a success in a very tight timetable.
Andrew Millie (Edge Hill University).
Editorial Board
Jon Bannister, Manchester Metropolitan University; Alana Barton, Edge Hill University; Karen Bullock, University of Surrey
Jon Bannister, Manchester Metropolitan University; Alana Barton, Edge Hill University; Karen Bullock, University of Surrey
Other reviewers
Rachael Armitage, University of Huddersfield; Jana Arsovska, John Jay College of Criminal Justice; Mark Brown, University of Melbourne; Mark Button, University of Portsmouth; Hazel Croall, Glasgow Caledonian University; Rod Earle, The Open University; Paul Ekblom, University of the Arts London; John Flint, University of Sheffield; Loraine Gelsthorpe, University of Cambridge; Simon Holdaway, Nottingham Trent University; Ross Homel, Griffith University; Martin Innes, Cardiff University; Zoƫ James, Plymouth University; Yvonne Jewkes, Leicester University; Ronnie Lippens, Keele University; Christopher Mullins, Southern Illinois University; Jill Peay, London School of Economics; Ryan Powell, Sheffield Hallam University; Layla Skinns, University of Sheffield; Helen Wells, Keele University
Rachael Armitage, University of Huddersfield; Jana Arsovska, John Jay College of Criminal Justice; Mark Brown, University of Melbourne; Mark Button, University of Portsmouth; Hazel Croall, Glasgow Caledonian University; Rod Earle, The Open University; Paul Ekblom, University of the Arts London; John Flint, University of Sheffield; Loraine Gelsthorpe, University of Cambridge; Simon Holdaway, Nottingham Trent University; Ross Homel, Griffith University; Martin Innes, Cardiff University; Zoƫ James, Plymouth University; Yvonne Jewkes, Leicester University; Ronnie Lippens, Keele University; Christopher Mullins, Southern Illinois University; Jill Peay, London School of Economics; Ryan Powell, Sheffield Hallam University; Layla Skinns, University of Sheffield; Helen Wells, Keele University
Published annually and available free online at www.britsoccrim.org © 2014 the authors and the British Society of Criminology
The Chinese citation of 'The hi-tech detection of Darwin’s and Wallace’s possible science fraud: Big data criminology re-writes the history of contested discovery' is in
Marxism College, Capital Normal University, Beijing 100089 Journal of Capital Normal University (Social Sciences Edition) 2016 Issue 02 (2016/05/03) P75 - 80 Social Science
Archived http://archive.is/n3DRm
ABSTRACT from Shen Jiujiu et al
'In the era of big data, the opportunities and challenges of scientific misconduct governance coexist.As a new tool for scientific misconduct governance, big data technology provides a shortcut for the identification of scientific misconduct, ensuring the comprehensiveness of data processing and making scientific research However, at the same time, the research misconduct in the era of big data is more subtle, the big data technology itself needs to be perfected, and the privacy issues caused by big data are lack of institutional regulation.Therefore, we need to build a scientific research system based on scientific integrity The legal system is based on the protection, integrity of scientific research education, big data technology as the support of the three research misconduct governance model, to minimize the occurrence of scientific misconduct'
The internationally cited Big Data discovered facts of Darwin's lies, plagiarising science fraud by glory theft, and many more unique bombshell discoveries besides are uniquely published in Vol 1 of Nullius in Verba: Darwin's greatest secret (volumes 2 and 3 forthcoming).
The internationally cited Big Data discovered facts of Darwin's lies, plagiarising science fraud by glory theft, and many more unique bombshell discoveries besides are uniquely published in Vol 1 of Nullius in Verba: Darwin's greatest secret (volumes 2 and 3 forthcoming).
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Earlier related blog post below and archived here
Mike Sutton
Dr Mike Sutton is the author of 'Nullius in Verba: Darwin's greatest secret'.