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Email the Academic Torrents team at

Joseph Paul Cohen PhD
National Science Foundation Graduate Fellow
Henry Z Lo PhD
Jonathan Nogueira


Joseph Paul Cohen - Founder/Board Member
Henry Z Lo - Founder/Board Member
Jonathan Nogueira - Founder/Board Member

Jonathan Nogueira - Smart Node Team 2014
Adrian Garay - Smart Node Team 2014
Grigorii Lazari - Smart Node Team 2014
James Lee - Smart Node Team 2014
Luc Nguyen - Smart Node Team 2014
Mani Jalilian - Smart Node Team 2014
Edward Grigoryan - Smart Node Contributor 2014
Alpesh Kothari - Java BitTorrent API Team 2015
Gregory McPherran - Java BitTorrent API Team 2015

akmalhisyam - Contributor
Mantas Radzevičius - Contributor
Stefan Parviainen - Contributor
Hanz Gumapac - Contributor


Personal Statement

+This service is designed to facilitate storage of all the data used in research, including datasets as well as publications. There are many advantages of using bittorrent technology to disseminate this work.

  • Distributed storage and content delivery provided by anyone. Files can be securely downloaded from other users of the system. They can share the file for a day or a year.
  • Mirroring the content can be done from a desktop computer anywhere. Everyone surrounding this computer will have local access to the data automatically and securely.
  • Bundles of files, not just papers, or any size can be disseminated in this way as long as at least one person can become a seed for that data.
Torrent technology allows a group of editors to "seed" their own peer-reviewed published articles with just a torrent client. Each editor can have part or all of the papers stored on their desktops and have a torrent tracker to coordinate the delivery of papers without a dedicated server.

+ One aim of this site is to create the infrastructure to allow open access journals to operate at low cost. By facilitating file transfers, the journal can focus on its core mission of providing world class research. After peer review the paper can be indexed on this site and disseminated throughout our system.

+ Large dataset delivery can be supported by researchers in the field that have the dataset on their machine. A popular large dataset doesn't need to be housed centrally. Researchers can have part of the dataset they are working on and they can help host it together.

+ Libraries can host this data to host papers from their own campus without becoming the only source of the data. So even if a library's system is broken other universities can participate in getting that data into the hands of researchers.

-Joseph Paul Cohen 2013
joseph /at/


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