Potsdam Graduate School: Workshop "Integrating Generative AI into the Research Cycle: Enhancing Discovery, Analysis and Dissemination"

Generative AI is reshaping how research is conducted—from idea generation to publication. This interactive workshop explores how AI-based tools can enhance each stage of the research cycle, improving efficiency, creativity, and decision-making.

In this workshop, you will engage with cutting-edge AI applications, including ChatGPT, DeepSeek, Claude, Perplexity.ai, you.com and GitHub Copilot to learn streamlining your research processes. Through a mix of hands-on exercises, demonstrations, and discussions, this session will equip you with practical strategies for integrating AI into your work routines while maintaining good scientific practice.

Learning Goals:

The workshop aims to integrate AI into various stages of the research process. Participants will learn to use AI for generating hypotheses, conducting comprehensive literature reviews, and synthesizing knowledge. The curriculum covers using AI tools to aid in proposal and manuscript writing, enhancing clarity and argumentation. Additionally, it explores AI's role in data handling and experimentation, including survey analysis and coding, with a focus on improving programming skills through AI-based assistance. The workshop also addresses AI's application in science communication and publishing, as well as discussing ethical considerations and challenges, such as bias and data privacy, under the framework of Good Scientific Practice.