Review and Illustration Sprint for data science and AI training materials: Turing-Crick Partnership Project: 28-29 April

[malvikasharan]

This issue is for engaging with interested participants.

[malvikasharan]

Turing-Crick AI and Data Science review and illustration sprint 🔍 (28-29 April, many 2 hour slots to choose from flexibly).

On 28 and 29 April 2022 (1.5 days), we are organising a review and illustration sprint for the "Introduction to Data Science for Biomedical Scientists: Turing-Crick Partnership Project".

In this form, please express your interest to attend this event before "21 April 2022".

About the project:

Introduction to Data Science for Biomedical Scientists: Turing-Crick Partnership Project has led to the development of two training modules on data science and Artificial Intelligence (AI) practices for senior researchers, group leaders, late PhD/Postdocs, and mid to late-career biomedical scientists.

Training materials for this project are developed as "masterclasses" under The Carpentries Incubator's GitHub repositories (available under CC-BY 4.0 License for Reuse).

1. Masterclass 1: Introduction to Data Science and AI for senior researchers: https://github.com/carpentries-incubator/data-science-ai-senior-researchers
2. Masterclass 2: Managing Open and Reproducible Computational Projects: https://github.com/carpentries-incubator/managing-computational-projects

This project is led and managed by Malvika Sharan, Lydia France and Federico Nanni. Learn more here: https://github.com/alan-turing-institute/data-training-for-bioscience.

What to expect at this event

Review: This is 1.5 days event designed for virtual participation. On 28 and 29 April, we will host five 2-hour long sessions for collaborative review of our training materials. In this form, you can choose one or more sessions that work for you as per your schedule and time zone.

Illustration: We have hired a professional scribe from Scriberia (https://www.scriberia.com/) to help develop accessible illustrations during the event. The aim is to make complex concepts described in the training materials easy to explain through simple drawings/images. All participants of this event will have a chance to contribute to the development of an illustration for any part of the training material that they are either reviewing or have an idea for communicating simply through visual interpretation. You can review illustrations co-developed with Scriberia in The Turing Way: https://zenodo.org/record/5706310.

This event is being co-designed with The Turing Way following their Book Dash event format. All attendees of this event will be required to follow The Turing Way Code of Conduct: https://github.com/alan-turing-institute/the-turing-way/blob/master/CODE_OF_CONDUCT.md

Eligibility: Who should attend?

• We encourage anyone with shared/overlapping experience in biomedical research and computational best practices to consider joining us at this event.
• Please take some time to explore the training materials to identify where and how you would like to contribute through feedback and/or illustration development.
• Since the materials are developed on GitHub, some knowledge working on GitHub will be beneficial.
• Some understanding of The Carpentries training materials (https://carpentries.org/blog/2019/04/curriculum-development-handbook/) and working with their training infrastructure (https://cdh.carpentries.org/technological-introductions.html) will be useful but is not required.

If you have any questions or concerns, please contact the team by replying under this issue: https://github.com/alan-turing-institute/data-training-for-bioscience/issues/26. If you have not previously worked with GitHub but would like to contribute, please email msharan@turing.ac.uk.

Additional details

SO many people have the expertise as researchers, trainers, educators and science communicators that this project can benefit from. The skills and contributions that we're looking for include, but are not limited to:

• tools, methods and case studies that can show the integration of best practices from data science and related approaches into biomedical fields
• editing and reviewing of lessons that can make training materials accessible for experienced researchers who are relatively new to data science and computation
• project design and management skills from research projects that are transferable to biomedical and related fields
• approaches and principles for collaboration in data science and AI for researchers who are leading, managing or supervising a research team
• experience coordinating or leading collaborative development of computational resources online and publishing them for reusability
• have other ways to contribute that are not listed here but relates to one or more topics related to the two masterclasses

EVENT TIMELINE

• Call for application start date: 21 March 2022
• Deadline for submission: 21 April 2022 (midnight anywhere on Earth)
• Invitations sent out: Latest by 25 April 2022
• Review and Illustration sprints: 28-29 April 2022
• Updated release of materials with updated authorship of all contributors: Week starting 2 May 2022

For any further information, please email Malvika Sharan (lead of this project, co-lead of The Turing Way): msharan@turing.ac.uk.