[Esip-cdf] FW: Invitation to submit an article for a special issue in AI Magazine

Asmat Ali asmatali at yahoo.com
Thu Apr 24 12:07:31 EDT 2025


Thank you for inviting to submit an article. Appreciated. I will try my best to submit. 

Best Regards
Dr. Asmat Ali
PhD (Remote Sensing & GIS)
Director Survey of Pakistan Rawalpindi
Office: +92-51-9290245
Cell/WhatsApp: +923335101578


ORCID I GoogleScholar I LinkedIn I WOS I ResearchGate




 

    On Thursday, 24 April 2025 at 20:50:53 GMT+5, Stocks, Karen via Esip-cdf <esip-cdf at lists.esipfed.org> wrote:  
 
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Dear CDF members,
 
  
 
AI Magazine is having a special issue on the “intersection of the FAIR Principles and Machine Learning, AI Readiness and AI Reproducibility” (invitation only). There is an opportunity to submit an article on AI-readiness from the data facility perspective, looking at progress and challenges. Is anyone in the CDF community interested in making this a group effort? Timeline is fairly tight: first draft by June 16.
 
  
 
Best,
 
  
 
-Karen
 
  
 
<><><><><><><><><><><><><><><>  
 
Karen Stocks, PhD 
 
Director, Geological Data Center
 
Scripps Institution of Oceanography
 
+1 858-534-1898
 
kstocks at ucsd.edu
 
  
 
From:Schreiber, Lynne <lbschreiber at ucsd.edu>
Date: Thursday, April 17, 2025 at 10:21 AM
To: Stocks, Karen <kstocks at ucsd.edu>
Cc: Kirkpatrick, Christine <christine at sdsc.edu>
Subject: Invitation to submit an article for a special issue in AI Magazine
 
Dear Karen,
 
As you may remember, we are organizing an invitation-only, special issue for the Association for the Advancement of Artificial Intelligence (AAAI)'sAI Magazine. This email is your formal invitation to take part and we're hopeful you will accept by using thislink. We ask you to let us know by April 30th and papers are due by June 16.  Any revisions would be made by you during November.
 
  
 
The FARR (FAIR in ML, AI-readiness and Reproducibility) Research Coordination Network is seeking articles for a special issue inAI Magazine at the intersection of the FAIR Principles and Machine Learning, AI Readiness and AI Reproducibility.
 
The special issue is interested in the following topics, with papers ideally addressing both research and practice aspects of more than one topic, and with other related topics also welcome:
    
   - Improving AI reproducibility, and understanding sources of irreproducibility
   - FAIR data practices and leveraging large language models (LLMs) for increasing the FAIRness of domain-specific applications
   - Challenges and progress in making data AI-ready, including automation in dataset preparation
   - Defining and improving FAIR in the context of AI, such as for AI models
   - Metadata and AI, including potential standards for AI models
   - Private AI models tailored to specific contexts
   - Understanding and addressing gaps in standards and best practices across various fields
   - The role of institutional stakeholders, such as data repositories
 
See below for additional information regarding the special issue.
 
Special Issue Editors
    
   - Geoffrey Fox, University of Virginia
   - Daniel S. Katz, NCSA & SCDS & iSchool, University of Illinois Urbana-Champaign
   - Christine R. Kirkpatrick, SDSC, University of California San Diego
   - Yuhun (Douglas) Rao, North Carolina Institute for Climate Studies, North Carolina State University
 
Notes
    
   - AuthorsDo Not pay publication fees
   - Articles areopen access
 
Guidelines
 
AI Magazine prefers expository articles, 6000-9000 words in length (including references and author biographies), without a lot of mathematical formalism.
    
   - Author guidelines
 
Tentative Schedule
    
   - Intent to submit: April 30, 2025
   - Papers due: June 16, 2025
   - Reviews due: August 15, 2025
   - Paper submission addressing comments: September 30, 2025
   - 2nd reviews: October 31, 2025
   - Final Papers: November 28, 2025
   - Publication: Spring 2026
 
We look forward to your contribution to this special issue in AI Magazine. Please let us know if you have any questions.
 
Kind regards,
 
Lynne Schreiber and Christine Kirkpatrick
 
https://www.farr-rcn.org/get-involved/ai-magazine
 
 
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