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The Journal of Open Source Software is a peer-reviewed open-access scientific journal covering open-source software from any research discipline. [1] [2] [3] The journal was founded in 2016 by editors Arfon Smith, Kyle Niemeyer, Dan Katz, Kevin Moerman, and Karthik Ram. [1] [4] The editor-in-chief is Arfon Smith (Space Telescope Science ...
No use coming into RAND before 10:00 am when JOSS arrives, in fact noon or after 5:00 pm is a better time, JOSS is less busy. When JOSS starts typing answers, the titillating pleasure is equaled only by the ensuing anguish when JOSS breaks off into jibberish or goes away commending your code to oblivion. We can hardly live with JOSS, but we can ...
The following journals are considered open access: Bayesian Analysis; Brazilian Journal of Probability and Statistics; Chilean Journal of Statistics; Electronic Journal of Statistics; Journal of Official Statistics; Journal of Modern Applied Statistical Methods; Journal of Statistical Software; Journal of Statistics Education
This is a list of open-access journals by field. The list contains notable journals which have a policy of full open access. It does not include delayed open access journals, hybrid open access journals, or related collections or indexing services. True open-access journals can be split into two categories:
The Open Society Institute funded various open access related projects after the Budapest Open Access Initiative; the Directory was one of those projects. [10] The idea for the DOAJ came out of discussions at the first Nordic Conference on Scholarly Communication in 2002. Lund University became the organization to set up and maintain the DOAJ. [11]
In addition, the IEEE Standards Association maintains over 1,300 standards in engineering. Some of the journals are published in association with other societies, like the Association for Computing Machinery (ACM), the American Society of Mechanical Engineers (ASME), the Optical Society (OSA), and the Minerals, Metals & Materials Society (TMS).
In 1995 the GCDIS articulated a clear commitment On the Full and Open Exchange of Scientific Data: "International programs for global change research and environmental monitoring crucially depend on the principle of full and open data exchange (i.e., data and information are made available without restriction, on a non-discriminatory basis, for ...
In March 2024, Databricks released DBRX, an open-source foundation model. It has a mixture-of-experts architecture and is built on the MegaBlocks open-source project. [52] DBRX cost $10 million to create. At the time of launch, it was the fastest open-source LLM, based on commonly-used industry benchmarks.