Using AI in Research: From Boundary Spanner to Co-Researcher

Date and Time: Thursday, November 20, 13:00-14:30 CET

What to expect from the webinar

This members-only webinar introduces practical approaches to integrating AI into academic research workflows: from conceptual framing and literature structuring to tool-enabled data exploration and writing support. The session considers how AI can function both as a boundary spanner (connecting perspectives, methods, and literatures) and as a co-researcher (contributing to ideation, design, and refinement).

Alongside live demonstrations of workflows and tools (including ChatGPT and complementary platforms), the session will open up questions of reproducibility, tool selection, and researcher responsibility. Participant testing is encouraged.

The webinar link has been sent to members via the newsletter.

Speakers

Dr. Ana Adi, Professor of Public Relations and Corporate Communication, Quadriga University of Applied Sciences, Germany

Dr. Ana Adi is a Professor of Public Relations/Corporate Communication at Quadriga University of Applied Sciences in Berlin, the chair of the Digital Communication Awards, and the host of the Women in PR podcast (on SoundCloud, iTunes, and more). Dr. Adi’s research focuses on identifying solutions for the professionalisation and future-proofing of PR/Comms, including identifying their social impact and social value. She also speaks about artificial intelligence in PR workflows and research, measurement and evaluation of communication, and storytelling. Originally from Romania, Dr. Adi obtained her doctorate from the University of the West of Scotland (UK) and has studied and worked and taught in the USA, UK, Belgium, Thailand and Bahrain. Learn more about Dr. Adi’s work here: www.anaadi.net

Dr. Melanie Baier, Professor of Data Science in Business Economics, Quadriga University of Applied Sciences, Germany

Melanie Baier studied economics at TU Dresden, specialising in innovation economics, game theory, and managerial economics, where she also earned her doctorate. In addition to her teaching activities, Melanie worked for several years in the field of applied innovation research and product development as part of strategic innovation projects. She is a professor of data science in business economics at Quadriga University Berlin. Her research interests focus on recent data analysis methods for economic and business applications and, in particular, on how explainable AI (XAI) can help overcome reservations about AI solutions in business functional areas and promote the responsible and informed use of AI solutions through better data and AI literacy.

Duration

90 minutes