Literature Research with AI
AI is fundamentally changing academic research. It facilitates access to literature, can broaden thescope of a search, and can quickly structure large volumes of information. At the same time, itintroduces new risks: unclear data sources, biased result lists, inaccurate summaries, and hallucinatedreferences. Using AI effectively therefore still requires conceptual clarity, appropriate search strategies,and critical evaluation of the results.
My workshops and webinars demonstrate how AI-supported tools and conventional research methodscan be combined effectively and used for systematic searching. Participants receive an overview of theacademic research infrastructure and learn where and how AI is integrated into it.
The workshop covers AI-supported preprint servers, academic search engines, AI assistants in subjectdatabases, and AI research tools developed specifically for academic searching. Participants learn howto formulate precise search questions, compare different research approaches, and assess sources andAI-generated statements in terms of quality, coverage, and potential errors.
General explanations and discipline-specific input alternate with practical research tasks, toolcomparisons, source evaluation exercises, and group discussions of the results. Participants work onrealistic topics and discipline-specific research questions. This enables them to apply what they havelearned directly to their everyday work and integrate it into their own research.
Participants will be able to use AI purposefully in their research without relinquishing academicoversight and responsibility to the system.
Doctoral candidates, postdoctoral researchers, and researchers from all disciplines who want toconduct efficient and systematic literature and data searches and use AI in a scientifically soundmanner. The workshop is also suitable for Master’s students.
- Selecting appropriate AI-supported research systems and combining them with conventionalsearch systems and techniques
- Translating research questions into suitable search terms and search strategies
- Critically evaluating search results, references, and AI-generated summaries
- Identifying hallucinations, biases, and blind spots
- Applying a systematic research workflow to participants’ own topics
Good to know
Who is this workshop for?
For doctoral researchers, postdocs and professors who use AI for literature searches and want to judge which results they can rely on. No prior experience with AI tools is required.
What do participants take away?
They combine AI-supported research tools with conventional search systems, critically evaluate AI-generated summaries and references, and develop a systematic research workflow for their own topic.
How does the workshop work?
Through introductory input, live demonstrations, tool comparisons, practical research tasks and source evaluation exercises, applied to participants‘ own work.
What is the added value for doctoral programmes?
The workshop reduces the risk of unverified, biased or hallucinated sources entering academic work and improves the quality of literature research overall.
- Supports participants in conducting more targeted and systematic searches for academicliterature and data
- Helps participants select appropriate AI tools and conventional research systems for theirrespective disciplines
- Reduces the risk of adopting unverified, biased, or hallucinated sources
- Promotes a systematic and transparent research process
- Improves the quality of literature research and, consequently, the quality of academic work
- understand the academic research infrastructure and assess the role of AI within it
- combine AI-supported research tools with conventional search systems in a targeted manner
- critically evaluate AI-generated search results, summaries, and references
- develop a systematic research workflow and apply it to their own research topic
Der Kompaktworkshop ist flexibel in drei Längen buchbar: 90, 120 oder 180 Minuten. Die längeren Formate bieten – je nach Gruppengröße – mehr Raum für intensiven Austausch, vertiefte Reflexion sowie eine detaillierte Situationsanalyse und den Praxistransfer.
Danny Walther works as an independent lecturer at universities and research institutions. He leads workshops and webinars on the use of artificial intelligence in academia and higher education. His areas of focus include data and literature research, visualization methods, and the question of how to succeed in studying, teaching, and conducting research in the age of AI. The goal of his work is to promote a practical and scientifically sound approach to AI.
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Offene Angebote für Forschende
Du suchst nach Impulsen für Deine Forschung? Hier findest Du Workshops, Themenabende für Promovierende, meine offenen Coaching-Runden. Du findest hier auch kostenlose Angebote.
