AI in Research: Between Caution and Creative Exploration

Staged by the BAM Early Career Academic (ECA) Network

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In this webinar, Prof Henri Schildt joins the ECA Network to discuss the changes created by AI for academic research, ranging from opportunities for speeding up research and entirely new ways of doing research, to concrete risks and broad threats to our profession. The webinar will also include discussion of AI in relation to theory development, simulations, and pedagogy.


Description

The BAM Early Career Academic Network Monthly Webinars are designed to support early-career scholars in business and management.

These informal, interactive sessions provide a platform for participants to engage with experienced academics, share experiences, and gain practical insights into various aspects of academic life. Each session focuses on a specific theme relevant to early-career academics, such as managing research and teaching teams, developing a personal teaching style, navigating grant applications, and engaging in peer review processes.

Webinars feature guest speakers, including senior academics and industry professionals, who share their expertise and experiences, providing valuable guidance and answering participants' questions.

The webinars are conducted via Zoom, fostering an informal environment where attendees can actively participate, ask questions, and engage in discussions with peers and experts.


Provider Information
BAM Early Career Academic Network
Who Should Attend?

The event speaks to Sections A1, B1, and C1, as detailed in the BAM Framework.


Speakers
Prof Henri Schildt

Prof Henri Schildt

Professor of Strategy, Aalto School of Business and the School of Science

 


Facilitator
Dr Mollie Bryde-Evens

Dr Mollie Bryde-Evens

Senior Lecturer in Ethical Business and Responsible Management, Liverpool Business School


Benefits of attending 
  • Increased understanding of the role of AI in academia,
  • Network development,
  • Insights into important contemporary contextual factors relating to AI.

Contact

Please contact the BAM Office at [email protected] with any queries.  


Event Fee 

BAM Members and Student Members: Free
Non-Members: £60

If you are booking multiple paid events as a Non-Member, it may be cheaper for you to purchase a BAM Membership as nearly all BAM Events are free or at a discounted rate for Members.
For more information about Becoming a BAM Member, please visit BAM Membership

Registration closes on 8th December 2026 at 23:59 BST.