deletions | additions       diff --git a/Einstein_published_in_1916_a__.tex b/Einstein_published_in_1916_a__.tex  index 66458e4..c419dd4 100644  --- a/Einstein_published_in_1916_a__.tex  +++ b/Einstein_published_in_1916_a__.tex 
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Einstein published in 1916 a paper containing the prediction of the existence of gravitational waves. It has just one author (A.E. himself) and consists of a few pages of text and equations \citep{1916SPAW.......688E}.  Fast forward exactly 100 years, the LIGO collaboration announced in a paper that they observed what Einstein had predicted. The paper has more than 1000 co-authors and it condenses, in just a few pages of text, equations and figures, an enormous amount of technical information \citep{PhysRevLett.116.061102}.And yet this paper was packed into a PDF, a static snapshot that does not allow the reader to access and interact with some of the most important elements of the research: data and code. Fortunately these were released shortly afterwards by the \href{https://losc.ligo.org/events/GW150914/}{LIGO Open Science Center} as a Jupyter notebook.   It's clear that the PDF, which is unable to contain and execute data and code, can not be the format of choice for the paper of the future. Authorea papers on the other hand, being web-native, can easily include data and code, allowing the reader to interact with the research while reading the paper.  This fundamental result was packaged into a PDF, a static format that does not allow the reader to access and interact with some of the most important elements of the research: data and code. Fortunately these were released shortly afterwards by the \href{https://losc.ligo.org/events/GW150914/}{LIGO Open Science Center} as a Jupyter notebook.   It's clear that the PDF, which is unable to contain and execute data and code, can not be the format of choice for the paper of the future. On the other hand Authorea papers, being web-native, can easily include data and code, allowing readers to interact with the research as they go through the paper.  To demonstrate this point point,  we included below the signal processing tasks on strain time-series data associated with the LIGO GW150914 data release. Click on the 'Launch iPython' button icon to access, modify and run the data analysis used to produce this figure and the other results published in \citet{PhysRevLett.116.061102}.