Courses and workshops

AI-Powered Research: From Rough Idea to Paper Draft

​Transform the way you conduct research

Two-day intensive winter workshop for professors, researchers, post-graduates & students

 

Dates: 26–27 February 2026 (Thursday and Friday)
Time: 09:00–16:00 CET
Format: In-person (max. 30 participants, first come, first served) + Online over Zoom
Instructor: Prof. dr Dijana Oreški, University of Zagreb, Faculty of Organization and Informatics, Croatia

This practical, hands-on workshop is designed for researchers who want to integrate generative artificial intelligence into their academic workflow: ethically, efficiently, and with measurable results.

Across two full days of interactive sessions, participants will learn how AI tools can support every stage of the research process: from idea generation and literature review, through data analysis and academic writing.

With guided demonstrations and supervised exercises, each participant will apply advanced AI tools directly to their own topic and will finish the workshop with a draft version of a scientific paper created with AI assistance.

The course will be held in English.

What you will learn

By the end of the workshop, participants will be able to:

Understand generative AI in research

  • Explain the fundamental concepts of generative AI.

  • Identify cutting-edge tools that enhance productivity across research workflows.

Master prompt engineering for academia

  • Create effective prompts for every stage of research: literature search, synthesizing sources, designing methodology, analyzing data, drafting sections of the paper, and preparing presentations.

Use AI across all research stages

  • Draft abstracts and introductions with AI support.

  • Conduct structured literature reviews and extract key insights.

  • Formulate research questions and hypotheses.

  • Analyze, visualize, and interpret quantitative or qualitative data

Apply AI ethically and responsibly

  • Understand principles of transparency, academic integrity, and responsible AI use.

  • Learn how to critically evaluate and verify AI-generated content.

Workshop outcome

Each participant will leave the workshop with:

✔ A complete draft of a scientific paper on their chosen topic

✔ A personalized set of AI-enhanced workflows

✔ Practical skills for immediate integration into daily research activities

✔ A deeper understanding of ethical AI use in science

Who Should Attend

Researchers, PhD students, early-career academics, lecturers, analysts, and professionals interested in integrating AI into research.

📍 Location

The workshop will be held at:

Faculty of Geography, University of Belgrade
Studentska 3, 11000 Belgrade, Serbia

Participation

  • In-person attendance is limited to 30 participants on a first-come, first-served basis.
  • After reaching full capacity, remaining participants may join online over Zoom.
  • Participants must bring their own laptop.
    Power outlets will be available in the room, and extension cords will be provided.

Workshop Format & Certification

This workshop includes:

  • Hands-on practical exercises

  • Laptop-based work and guided tool demonstrations

  • Individual feedback from the instructor (for in-person participants)

  • Concrete outcomes, including a draft version of a scientific paper (all outputs are co-created with AI and must be reviewed and validated by the participant).

  • Official UdEkoM Balkans Certificate of Completion (digital format), including 12 CPD (Continuing Professional Development) training hours, which may be used toward professional training requirements, academic development records, or institutional evaluation processes.

Video Access

A recording of the entire workshop will be available for 5 days for all registered participants who are unable to follow the sessions in real time.

Software/Account Requirements

No paid AI tools are required. The workshop will demonstrate methods using both free and paid versions, but participants may attend with free tools only.

Instructor 

Assoc. Prof. Dijana Oreški, PhD

Dijana Oreški is an associate professor at the University of Zagreb, Faculty of Organization and Informatics (UNIZG FOI). She obtained her PhD from the UNIZG FOI in the field of artificial intelligence (AI).

She is the head of the Laboratory for Data Mining and Intelligent Systems (LOUISE), which is focused on conducting scientific and professional projects related to the application of AI in business and education.

Her research is at the intersection of AI and social sciences, focusing on the application of AI and machine learning to solve social problems.

She is the author and co-author of more than a hundred scientific papers. She has worked on more than 20 international projects related to AI.  

In her teaching, she delivers courses related to artificial intelligence, the application of AI in business, machine learning, and intelligent systems.

More detailed description

Module Title Content Description Learning Outcomes / Activities
1. Introduction to Generative Artificial Intelligence for Researchers

Overview of AI, generative AI and large language models (LLMs).

The role of AI in modern science.

 

Explain the basic concepts of generative AI and identify tools that can enhance research workflows.

Discussion: “AI optimism in science.”

 
2. Generative AI Tools through the Phases of Scientific Research Mapping AI tools to research phases: idea generation, literature review, methodology design, data analysis, writing, and dissemination.

 

Identify relevant AI tools for each phase of the research process.

Activity: Create a personal map of AI tools by research stage.

 
3. Prompt Engineering for Researchers: Principles and Structures How to structure prompts: role–goal–task–format. Strategies for academic prompting (critique, summarization, synthesis).

Design effective prompts for academic contexts (e.g., “summarize methodology,” “compare two studies”).

Activity: Prompt lab.
4. AI Tools for Early-Stage Research: Brainstorming ideas and Literature Review

 Practical use of tools such as Hyperwrite, Elicit, Scite, Consensus, Litmaps, and NotebookLM. Automated discovery and summarization of scientific literature.

 Use AI tools for finding, analysing and summarizing literature; formulate research questions and hypotheses with AI support.
5. Formulating Research Hypotheses and Designing Studies with AI

Applying generative AI to conceptualize models and methodologies. Using prompts for theoretical grounding and variable operationalization.

Develop a conceptual framework and define a hypothesis with AI assistance.

Activity: Mini research proposal documenting AI use.
6. AI in Data Analysis and Interpretation of Results

 Overview of tools: ChatGPT Advanced Data Analysis, Julius AI, Excel Copilot. Understanding limitations and responsible use.

 Apply AI to analyze, visualize, and interpret data; recognize hallucination and misinterpretation risks.
7. Academic Writing and Editing with AI Support

 

Comparison of writing tools (e.g. Writefull, Trinka, Paperpal).

Using AI for structuring, summarizing, paraphrasing, and improving research papers.

Apply AI tools for drafting abstracts, introductions, and conclusions.

Activity: Create an AI-assisted draft of a research paper.
8. Ethics, Authorship, and Publisher Policies

 

Exploring publisher policies (Elsevier, Wiley, Nature) on AI usage, authorship, citation, data protection, and EU AI Act compliance.

 Apply ethical principles for responsible AI use in science; write an AI usage disclosure for a research paper.
9. Communicating and Disseminating Research with AI

 

Tools: Gamma, SlidesGPT, CrewAI… Creating presentations, visual materials, and audio presentations.

Generate AI-supported research presentations and summaries.

Activity: Present an AI-enhanced research output.
10. Final Mini Project: AI in My Research Participants apply AI in all phases of research on their chosen research topic. Independently apply AI in personal research and present results, reflecting on limitations and ethical considerations.

Detailed Attendance Policy

  • In-person = includes individual feedback

  • Online = group-level guidance only

  • Recording = available for 5 days

  • No lifetime access

Workshop fee: 199 EUR

Attention: the costs of the money transfer are to be covered by the participants.
*Workshop fee includes: attendance, certificate, other organizational costs.

Payment Options

Participants may complete their registration fee using any of the following payment methods:

  • Interbank money transfer (SWIFT)

  • PayPal

  • Credit or debit card

  • Serbian dinar payment (for participants registering from Serbia)

Member Benefits

Premium (Full) Associate Members of the Association of Economists and Managers of the Balkans may attend the workshop free of charge.
Regular Associate Members receive a 35% discount on the participation fee.

➡️ Membership in UdEkoM Balkans is not a condition for enrolment.
All researchers and interested participants are welcome to apply.

For more information, please visit: https://www.udekom-balkans.com/membership

Cancellation / Refund Policy

Refunds are possible up to 7 days before the workshop. After that date, participant substitutions or credit transfer to a future UdEkoM Balkans event is allowed.

register for the workshop