Interlude: New Year Challenge, Past-Year Reviews, and Mass-Produced Manuscripts
As I reflect on the past year, one theme stands out: change.
We have been navigating changes in funding, publishing, the expansion of AI, and more. And these changes have been challenging—in good and bad ways.
Fortunately, I am challenge-driven. That's one reason why I love the challenge of condensing text to meet a word limit.
I also enjoy the challenge of thinking about scientific and medical writing in unconventional ways—and inspiring others to do the same.
So in the new year, I have a challenge for you.
Starting on January 12, I am hosting a FREE 5-day challenge to inspire you to simplify your writing to amplify your science.
I hope that you will join me.
Save your spot in the 5-day challenge
This will be the last newsletter for 2025. Until the new year, I wish you peace, joy, and warmth with the ones you love.
Now onto the last round-up of 2025...
💌 Round-up
💻 From My Desk
Plan Your Best Year Yet with a 1‑Hour Past-Year Review
Do you set New Year’s Resolutions only to give up on them a couple of weeks or even days later? I certainly have. So about 5 years ago, I started using a different strategy that has given me more valuable and actionable information to set myself up for success in the new year. And in this video, I share that strategy with you.
👓 Reading
Guidance on the Responsible Use of Artificial Intelligence (AI) in Accredited Continuing Education (CE)
Although this guidance includes considerations for the responsible use of generative AI for accredited continuing education programs, the guidance encompasses 7 categories that apply to most fields:
Safeguard independence and mitigate bias
Transparently disclose AI use
Ensure human oversight, accuracy, and accountability
Protect learner identity and sensitive information
Limit prohibited or high-risk uses
Establish internal governance and continuous improvement practices
Secure databases and AI systems
Meeting the challenges posed by mass-produced manuscripts and click-data science
"The combination of open-access datasets, machine learning workflows, increased computing capacity, and generative artificial intelligence has effectively removed many of the rate-limiting steps in manuscript production. This has created an industry of click-data science and a flood of low-quality manuscripts based on large health datasets. . . These papers often employ statistically appropriate methods and real data, but introduce misleading results and false discoveries to the literature."
🧰 Tools
The Stacks Illustration Library
If you're looking for organism illustrations to include in your work, check out The Stacks free, open-access library of high-quality organism illustrations for science communication.
💬 Quote
"Great minds don’t always think alike. They challenge each other to think differently.” -Author Unknown
Thank you so much for reading.
Warmly,
Crystal
