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Monika Kotus

No events at the moment

Online / Offline

2 days or a series of sessions

PL / EN

AI for Researchers
and scientists

For scientists and lecturers of all disciplines, regardless of research area or level of technical advancement. These workshops equip students with methods for applying AI while maintaining standards of scientific integrity in research, writing, and teaching.

Team brainstorming session

1. Diagnosis

I talk, examine needs, identify processes and see where AI can really help

2. Workshop

I teach practical use of AI - hands-on, using real examples from your work

3. Implementation

You get the tools and my support to continue working independently with AI.

Example issues

Effective prompting

Techniques for Creating Accurate Prompts in an Academic Context

Research and scientific literature

Tools for searching sources, analyzing publications, creating literature reviews, and identifying research gaps.

Data analysis and visualizations

Statistical analysis without coding, charting, research panels, data mining.

Working with knowledge and documents

Synthesis of large document collections, analysis of transcripts, work with source materials, citations.

Your own AI assistant

Creating your own AI assistants tailored to the specifics of research, reviewing, and project planning.

Multimodal AI: images, video, audio

Creating scientific infographics, teaching materials, data visualizations, conference presentations.

Teaching materials

Preparing syllabi, course materials, review questions, concept maps, and flashcards.

Working with research texts

Working with the structure of publications, coherence of argumentation, synthesis of sections, responses to reviews and editors.

Ethics, safety, good practices

Verification of results, GDPR, data anonymization, researcher responsibility, transparency of AI use.

Forms of cooperation

The choice of formula is determined after the briefing – depending on the specificity of the team and availability

participants and goals of the organization.

GROUP

2-day workshop

An intensive review of key AI issues in academic practice.

Who's it for: Teams that need a solid foundation and want to get started with AI quickly.

GROUP

Series of 4-6 meetings

Gradual AI implementation, with time to test tools between sessions.

For whom: teams that want to build skills systematically, without taking time away from their daily work.

1:1

Individual sessions

One-on-one work, fully personalized for specific tasks.

For whom: busy people with very specific challenges or the need for individual support.

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