<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.9.0">Jekyll</generator><link href="https://gravity.ncsa.illinois.edu/FAIR4HEP/feed.xml" rel="self" type="application/atom+xml" /><link href="https://gravity.ncsa.illinois.edu/FAIR4HEP/" rel="alternate" type="text/html" /><updated>2020-12-10T22:27:08+00:00</updated><id>https://gravity.ncsa.illinois.edu/FAIR4HEP/feed.xml</id><title type="html">DOE FAIR4HEP Project</title><subtitle>Recent Activity in the DOE FAIR4HEP project.</subtitle><entry><title type="html">RDA 17th Plenary Meeting - Edinburgh (Hybrid)</title><link href="https://gravity.ncsa.illinois.edu/FAIR4HEP/RDA-Hybrid/" rel="alternate" type="text/html" title="RDA 17th Plenary Meeting - Edinburgh (Hybrid)" /><published>2020-12-09T00:00:00+00:00</published><updated>2020-12-09T00:00:00+00:00</updated><id>https://gravity.ncsa.illinois.edu/FAIR4HEP/RDA-Hybrid</id><content type="html" xml:base="https://gravity.ncsa.illinois.edu/FAIR4HEP/RDA-Hybrid/">&lt;p&gt;&lt;img src=&quot;/FAIR4HEP/images/rda_17th_edinburg.png&quot; alt=&quot;17th Research Data Alliance Plenary Meeting announcement poster&quot; /&gt;&lt;/p&gt;

&lt;p&gt;The &lt;a href=&quot;http://www.dcc.ac.uk/&quot;&gt;Digital Curation Centre&lt;/a&gt; in collaboration with &lt;a href=&quot;https://www.jisc.ac.uk/&quot;&gt;Jisc&lt;/a&gt; and &lt;a href=&quot;https://stfc.ukri.org/&quot;&gt;STFC-UKRI&lt;/a&gt; will be hosting &lt;a href=&quot;https://www.rd-alliance.org/plenaries/rda-17th-plenary-meeting&quot;&gt;RDA’S 17th Plenary meeting&lt;/a&gt; on 20-22 April 2021 at the &lt;a href=&quot;https://www.eicc.co.uk/&quot;&gt;Edinburgh International Conference Centre&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;The plenary will highlight several research use cases around global collaboration to address grand challenges and ensure societal impact of data reuse.&lt;/p&gt;

&lt;p&gt;More information on timelines will follow in the &lt;a href=&quot;https://www.rd-alliance.org/plenaries/rda-17th-plenary-meeting-edinburgh-hybrid&quot;&gt;coming months&lt;/a&gt;.&lt;/p&gt;</content><author><name></name></author><summary type="html"></summary></entry><entry><title type="html">FAIR principles for Machine Learning models</title><link href="https://gravity.ncsa.illinois.edu/FAIR4HEP/FAIR_poster/" rel="alternate" type="text/html" title="FAIR principles for Machine Learning models" /><published>2020-11-09T00:00:00+00:00</published><updated>2020-11-09T00:00:00+00:00</updated><id>https://gravity.ncsa.illinois.edu/FAIR4HEP/FAIR_poster</id><content type="html" xml:base="https://gravity.ncsa.illinois.edu/FAIR4HEP/FAIR_poster/">&lt;p&gt;&lt;a href=&quot;https://doi.org/10.5281/zenodo.4271996&quot;&gt;&lt;img src=&quot;/FAIR4HEP/images/
FAIR_ML-poster-FP-DSK-v2.png&quot; alt=&quot;FAIR principles for Machine Learning models poster&quot; /&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;The idea of FAIR in the context of scientific data management and stewardship was developed in 2014 and turned into specific principles in 2016. Along the way, the idea was generalized in concept to apply to both data and other digital scholarly objects, but it has become clear in practice that what works for data does not directly work for all other digital objects. Both previous and ongoing work show that many of the guiding FAIR principles need to either be re-written or reinterpretted for software, and this is being done. This poster discusses the beginning of a process for extending of the FAIR principles to machine learning (ML) models, which have characteristics of both data and software.&lt;/p&gt;

&lt;p&gt;The poster is available on Zenodo &lt;a href=&quot;https://doi.org/10.5281/zenodo.4271996&quot;&gt;&lt;img src=&quot;https://zenodo.org/badge/DOI/10.5281/zenodo.4271996.svg&quot; alt=&quot;DOI&quot; /&gt;&lt;/a&gt;.&lt;/p&gt;</content><author><name></name></author><summary type="html"></summary></entry><entry><title type="html">RDA 16th Plenary Meeting - Costa Rica (Virtual)</title><link href="https://gravity.ncsa.illinois.edu/FAIR4HEP/RDA-Virtual/" rel="alternate" type="text/html" title="RDA 16th Plenary Meeting - Costa Rica (Virtual)" /><published>2020-11-08T00:00:00+00:00</published><updated>2020-11-08T00:00:00+00:00</updated><id>https://gravity.ncsa.illinois.edu/FAIR4HEP/RDA-Virtual</id><content type="html" xml:base="https://gravity.ncsa.illinois.edu/FAIR4HEP/RDA-Virtual/">&lt;p&gt;&lt;img src=&quot;/FAIR4HEP/images/rda_16th_costa_rica.png&quot; alt=&quot;16th Research Data Alliance Plenary Meeting announcement poster&quot; /&gt;&lt;/p&gt;

&lt;p&gt;The 16th Plenary meeting of the Research Data Alliance took place 9-12 November 2020.&lt;/p&gt;

&lt;p&gt;With the theme “&lt;a href=&quot;https://www.rd-alliance.org/rda-16th-plenary-theme-knowledge-ecology&quot;&gt;Knowledge Ecology&lt;/a&gt;”, the event was co-organised by CONARE Costa Rica, RDA United States and Research Data Canada.&lt;/p&gt;

&lt;p&gt;To learn more about the event, please visit the &lt;a href=&quot;https://www.rd-alliance.org/plenaries/rda-16th-plenary-meeting-costa-rica-virtual&quot;&gt;RDA page&lt;/a&gt;.&lt;/p&gt;</content><author><name></name></author><summary type="html"></summary></entry><entry><title type="html">NCSA launches Center for Artificial Intelligence Innovation</title><link href="https://gravity.ncsa.illinois.edu/FAIR4HEP/caii/" rel="alternate" type="text/html" title="NCSA launches Center for Artificial Intelligence Innovation" /><published>2019-11-13T00:00:00+00:00</published><updated>2019-11-13T00:00:00+00:00</updated><id>https://gravity.ncsa.illinois.edu/FAIR4HEP/caii</id><content type="html" xml:base="https://gravity.ncsa.illinois.edu/FAIR4HEP/caii/">&lt;p&gt;“By leveraging the expertise and resources at National Center for Supercomputing Applications - NCSA and University of Illinois at Urbana-Champaign, the CAII seeks to become a hub for innovation both on campus and across the world.”&lt;/p&gt;

&lt;p&gt;&lt;img src=&quot;/FAIR4HEP/images/smile_politely.png&quot; alt=&quot;NCSA announces launch of Center for Artificial Intelligence Innovation&quot; /&gt;&lt;/p&gt;

&lt;p&gt;The National Center for Supercomputing Applications (more easily referred to as NCSA) has been at the forefront of truly remarkable and groundbreaking innovations in technology — and it just so happens to exist here in Champaign-Urbana. Just start by looking at the work that Donna Cox has done over her career, and you’ve already learned a lot.&lt;/p&gt;

&lt;p&gt;NCSA has announced their next endeavour: innovation in Artificial Intelligence.&lt;/p&gt;

&lt;p&gt;The center has announced they will be launching the Center for Artificial Intelligence Innovation (CAII), which you can read all about via their article which gathers commentary from Director Bill Gropp, CAII Director Eliu Huerta, Industry Director Brendan McGinty, and more.&lt;/p&gt;</content><author><name></name></author><summary type="html">“By leveraging the expertise and resources at National Center for Supercomputing Applications - NCSA and University of Illinois at Urbana-Champaign, the CAII seeks to become a hub for innovation both on campus and across the world.”</summary></entry></feed>