This workshop helps PhD students strategically find and manage information resources across disciplines. Participants will learn to plan efficient search strategies, use key databases and reliable artificial intelligence tools, and organize references for long‑term use. By the end, participants will be able to build and maintain a robust, transparent, and manageable evidence base for their doctoral work.

The workshop will focus on two main topics:

• Finding information, in which participants will learn how to use traditional and AI-assisted databases, in order to strengthen their ability to locate high-quality, relevant sources efficiently;
• Managing sources, which introduces tools designed to help participants organize and manage the information they have gathered. It will cover reference-management software, and AI-based toos for data extraction and synthesis

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

• Translate their research questions into search concepts;
• Build different search strategies based on their research questions and projects;
• Understand the logics of Boolean searches and how to apply them in multidisciplinary and subject-specific databases;
• Develop complementary search strategies, such as snowballing and natural language searches;
• Manage and reference sources with the use of reference manager software;
• Integrate AI tools into their research process in different phases: brainstorming, collecting and summarizing information
   

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