28 May 2025

VUIAS – Virtual Ukraine Institute for Advanced Study is pleased to invite you to a series of online workshops on AI use given by Mykola Makhortykh (University of Bern) and Elizaveta Kuznetsova (Weizenbaum Institute, Berlin).

The time of the workshops varies according to the speakers’ schedule. Information will be provided in due time.

Program
Introduction to generative AI in research (May 29)
Generative AI for content analysis (June 5)
Future of generative AI for academic research (June 12)
Generative AI as a research subject (June 16)
Generative AI for academic writing (June 30 or July 3)

Course plan
1) Introduction to generative AI in research
What generative AI is and not
How generative AI works and what made its emergence possible
Can AI learn and why it is important for academic research
Implementations of generative AI: models vs. applications
Selective overview of tools currently accessible: what can be used for free/with limited funding and how

Thursday, May 29, at 4 pm Berlin time

Join Zoom Meeting
https://us02web.zoom.us/j/3290999221?pwd=VnpieVU5QkFtSEk1Qzhtby8zODRVZz09
Meeting ID: 329 099 9221
Passcode: 111680

The recording of the first session is available on YouTube.

2) Generative AI for content analysis
Why content analysis is most common application of generative AI in research
Quantitative content analysis: best practices from social sciences/humanities
Quantitative content analysis: can AI do discourse/narrative analysis?
Practical exercises

Thursday, June 5, at 9 am Berlin time

Join Zoom Meeting
https://zoom.us/j/92616451768?pwd=W1cX7Kx90siUdbzb6JkmACVw6nyjYQ.1

Meeting ID: 926 1645 1768
Passcode: 828966

3) Future of generative AI for academic research
What the future can bring/what are current tendencies of generative AI development for research
Future AI uses: simulations and synthetic data
Future AI uses: online data collection
Other innovative uses

4) Generative AI as a research subject
Why we need to study generative AI: bias, stochasticity, errors
What causes problems within AI: training data, reasoning, user prompts
AI audits and how they can be implemented
Examples of AI audits: history, political science, and more
Practical exercises

5) Generative AI for academic writing
What makes generative AI useful for academic writing
Scientific ethics and AI writing: what is AI plagiarism and how to avoid/detect it
Possible use cases: language improvement, translations, ideas/text generation
Practical exercises