Overview

The Duke AI Health Community of Practice and Duke Clinical and Translational Science Institute are pleased to announce a new workshop series.

The goal of this workshop series is to support our operational staff members in gaining experience with scientific writing, such as posters and manuscripts.

This workshop cohort is limited to 25 participants. We welcome staff members from any academic institute in the Triangle to participate, including Duke, NCCU, DTCC, NCSU, and UNC. Participants from the first cohort are welcome to re-enroll. There is no fee to participate.

Each of the 5 sequential workshop sessions will be 2 hours and the sessions will be held virtually. Participants will be asked to be on-camera and actively interacting during each session, which will be held:

• Thursday, September 5 from 10:00 AM – 12:00 PM
• Thursday, September 19 from 10:00 AM – 12:00 PM
• Thursday, October 3 from 10:00 AM – 12:00 PM
• Thursday, October 17 from 10:00 AM – 12:00 PM
• Thursday, November 7 from 10:00 AM – 12:00 PM

The series will also have a required in-person component, when participants present the product of their work in person:

• Friday, December 6, held on Duke’s campus

We will ask registrants to commit to attending all 5 workshops plus the in-person component. This is because the series is designed to build on knowledge gained in each workshop, to culminate in a product to be shared with others during the poster showcase.

Who should attend?

We encourage staff members at any level of seniority and experience to participate, including coordinators, project managers, project leaders, and analysts – beginners through advanced. The purpose of this workshop series is to learn, and participants do not need to have previous experience in scientific writing.

Each participant will be asked to confirm their manager’s approval for them to participate in the workshop series. We encourage managers to consider this participation as potentially valuable in an employee’s training plan.

How to register as a participant

Please register at https://duke.qualtrics.com/jfe/form/SV_55Z8k6QoWNFC8Hs

Structure of the workshops

Each of the 5 virtual workshop will include both a lecture covering important concepts and background information, as well as an interactive component.

Participants will be asked to attend each session live, being on-camera and actively interacting. Although lectures will be recorded and available to participants as a reference, the interactive components will not be recorded.

“Learn by doing”

In this workshop series, we will use the AI Health Community of Practice model of “learn by doing” for participants to grow confidence in scientific writing through hands-on experience.

Each participant will develop a poster using formal scientific writing conventions, including topic selection and refinement, organization, content development, visual elements (including diagrams and charts), co-authorship, references, acknowledgements, and other best practices.

Scientific posters are a widely used basis for articulating key programmatic and scientific accomplishments and results. When prepared with rigor, a poster is a “miniature manuscript” that can then be developed into a full paper.

The topic of the poster will be chosen by each participant and their manager, and we will encourage participants to write about topics where they have experience and interest. This can include operational topics, processes, program descriptions, communication and dissemination, ethics, and the challenges and opportunities of translational science.

• The workshops are taught by Jonathan McCall, MS, Director of Communications for Duke AI Health,
• This opportunity is produced by Shelley Rusincovitch, MMCi, FAMIA, Managing Director of Duke AI Health and Co-Director, CTSI Biomedical Informatics & Data Science (BIDS) Pillar
• Jessica Johnstone is the project manager for the series
• Whitney Welsh is the qualitative scientist providing evaluation for the series

Please email aihealth@duke.edu if you have any questions.

This project is supported in part by the National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, through Grant Award Number UL1 TR002553.