Next level science using AI assistants

AI-based tools revolutionize science and enable researchers to work more effectively and efficiently.  However, it is important for researchers to use these tools judiciously and with an understanding of their limitations.

In a recently published prospective study of the Harvard Business School with 759 consultants of the BCG group, using AI on high-level knowledge work increased speed by 25%.

Utilization of AI now extends beyond just drafting reports, manuscripts, and grants. AI also streamlines and objectifies literature reviews, making them faster, more efficient, and less biased. AI can amplify research outreach and visibility on social media. But maybe the most profound application is in brainstorming — generating innovative ideas for experiments, experimental controls, project strategies, formulating pivotal research questions and where you want to go with your career! And depending on how open you are to the technology, you can even use it to prepare interpersonal interactions: job interviews, conflict discussions, negotiations, etc.

AI-tools will take your science to the next level. Although the range of tools is currently expanding exponentially, at this webinar, the following tools will be discussed and used:

• extracting key claims, summarizing, brainstorming ideas and finding sources, (https://www.perplexity.ai/),
• enhanced literature review, connectivity of papers, interactive summaries of key information (https://elicit.org/, https://www.explainpaper.com, https://app.litmaps.com/ and https://www.researchrabbit.ai/)
• texting (https://www.deepl.com/write, https://chat.openai.com/chat) for optimizing text, generating scientific text de novo, e.g. paragraphs, titles, whole cover letters, generating text for social media, e.g. tweets, LinkedIn posts etc.
• brainstorming e.g. of experimental planning, strategic planning, career development and many more (https://chat.openai.com/chat). We will discuss how to use AI to brainstorm:

1. Which scientific questions are relevant and which scientific experiments can be used to address a specific question? Which controls can be used in an experimental setup?
2. Which questions could be asked by reviewers of your paper, grant application, SFB panel review?
3. Which career paths might be helpful and which questions you might get asked in the job interview?

The session will be highly participative and influenced by contributions from participants, that will be used as input into the AI tools. These case studies and live exercises will help participants to apply the concepts and tools to their own scientific research.

For the online participants it is strongly suggested to join with a full computer and not with a tablet or mobile phone. Please test your microphone and camera beforehand to ensure functionality.

The webinar will be held in English language.