AI Tools for Scientists - how to use for better manuscript writing and data analysis - AI for Non-Coders

​This one-day workshop, led by AI researchers at Harvard Medical School, and supported by a Schmidt Sciences grant (from Eric Schmidt), will teach you how to use cutting-edge AI tools to improve the quality of your papers by focussing on advanced data analysis — no prior coding experience required.

​This half day workshop will teach you how to perform advanced data analytics, manuscript writing and research. We will teach you how to add AI as your coding and writing partner.

Who Should Attend

• ​Graduate students, postdocs, and faculty across the sciences

• ​Researchers with minimal or no coding experience who work with data

• ​Scientists curious about integrating advanced AI into their research daily process

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What You'll Learn

• ​How to set up and use Anthropic's Claude Code for scientific data analysis

• ​Prompt engineering strategies for complex analytical tasks

• ​How to leverage planning modes, agent orchestration, and AI tool integrations

• ​How to go from raw data to a polished report in hours, not weeks
  
  

​About the Study

​This workshop is part of a Schmidt Sciences-funded pilot study investigating how AI tools reshape the scientific discovery process. The research team includes faculty from Harvard Business School, Harvard Medical School, and UC Merced.

​Space is limited to 40 participants. Priority given to researchers who are actively working towards a publication and have their own unique dataset that they would like to analyze with AI tools.