With the increasing application of large language models (LLMs) in automation and data analysis, Digital Discovery is looking for experts in LLMs to act as peer reviewers. If you would like to take part, please follow the instructions below. Reviewers who have registered their interest will be entered into a prize draw to win an exclusive Digital Discovery mug in March of 2025!
If you have authored or reviewed for us previously, you can log in to your account at https://mc.manuscriptcentral.com/dd and update the “Research Interests” section of your profile to mention “LLMs”, and/or “large language models”. If you don’t currently have an account you can sign up at https://rsc.li/become-a-reviewer, and then complete your Research Interests once the process is complete.
If LLMs are not one of your areas of expertise, but you would be interested in reviewing other papers for Digital Discovery, please let us know, and update your research interests and keywords as mentioned above. We are also interested in recruiting reviewers to assess authors’ datasets and codes – please see this link for more information.
If you have a colleague who is an expert in LLMs, or who would be interested in reviewing for Digital Discovery in general, please feel free to pass this information to them!