Peer Review Process for Deliverables in FG-AI4H

Presentation by Monique Kuglitsch from Fraunhofer HHI discussing the peer review process for deliverables in FG-AI4H. The presentation covers the importance of peer review, the workflow, finding reviewers, components of a review, and provides a checklist for peer reviewing TDD. Additionally, a whitepaper outlines the mandate and operations of FG-AI4H, with contributions from various experts in the field. The whitepaper maintains the original structure and updates on future directions, workshops, meetings, and deliverables.

• Peer Review Process
• FG-AI4H
• Presentation
• Whitepaper
• Monique Kuglitsch

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Uploaded on Sep 19, 2024 | 0 Views

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Presentation Transcript

1. FG-AI4H-J-042-A04 FG-AI4H-J-002-A01 E-meeting, 30 September 2 October 2020 Source: Editors Title: Peer review process for deliverables Att.4: Presentation Purpose: Discussion Contact: Monique Kuglitsch Fraunhofer HHI Germany E-mail: monique.kuglitsch@hhi.fraunhofer.de Abstract: This PPT contains a presentation of J-002 and J-042 (-A01, - A02, -A03).

2. Peer review process for deliverables Developed by M. Kuglitsch, E. Weicken, and N. Lee Aims to ensure FG-AI4H deliverables achieve max level of quality Proposes two-part (internal/external) peer review process Addresses: why do we need a peer review process? who should do the peer review process? what is the suggested work flow? how do we find (and convince) reviewers? what are the components of a review? Provides checklist for peer review of TDD (FGAI4H-J-042, -A01, -A02, & -A03)

3. Whitepaper A guide to the FG-AI4H, which outlines mandate and operations Adaptation from the original whitepaper by Salath et al. (2018) Contributions were made from: T. Wiegand, N. Lee, S. Pujari, M. Singh, S. Xu, M. Kuglitsch, M. Lecoultre, A. Riviere-Cinnamond, E. Weicken, M. Wenzel, A. Werneck Leite, S. Campos, and B. Quast (FGAI4H-J-002)

4. Whitepaper Preserves the original structure: Abstract, Introduction, Artificial intelligence, Artificial intelligence for Health, Focus Group on Artificial Intelligence for Health (FG- AI4H), and Future Directions. Updates: References (including mention of the FG-AI4H commentary) FG-AI4H structure (new TGs/WGs) workshops and meetings deliverables (includes figure from S. Xu of deliverable interactions; explains importance of our outputs: documents, platform, and tools) (FGAI4H-J-002)