*** Apologies for cross-posting ***
Dear Colleagues,
The 2024 Open Innovation in Science (OIS) Research Conference and the AOM TIM Division are co-organizing a panel debate on
"Zeroing in on the Scientist:
Navigating Dynamic Challenges in the Modern Research Landscape?"
Wednesday, 22 May 2024
(2.30–4.00 pm CET | 8.30–10.00 am EST)
In the debate, we will look at the role of the individual scientist, which is not just expanding but also transforming. Today's scientists are faced with an increasingly complex set of responsibilities that go beyond their core research activities, but that also significantly impact how they conduct their research itself. Our panelists will discuss the nuanced interplay between required capabilities, individual actions and demands from the team, organizational, and societal levels for aligning scientific pursuits with broader societal needs, whilst embracing the expanding role of AI in science. In doing so, we aim to contribute to the broader discourse around the potential and challenges of open and collaborative research practices by centering the discussion on the heart of scientific progress-the individual scientist.
The panel debate structure:
I. Panel debate (60 min)
Panelists: Elaine Chew (King's College London), Michael Doser (CERN), Chiara Franzoni (Politecnico di Milano), Muki Haklay (University College London), and Markus Perkmann (Imperial College London)
II. Moderated Q&A session (30 min)
Moderator: Henry Sauermann (ESMT Berlin)
Registration:
Online participation in the debate is free. To register, follow this link: https://ois-research-conference.org/registration-online-participation/
Registration also enables you to participate online in other sessions of the OIS Research Conference (optional).
We are looking forward to seeing you,
The OIS Research Conference organizing team:
Susanne Beck, Warwick Business School
Christoph Grimpe, Copenhagen Business School
Marion Poetz, Copenhagen Business School
Henry Sauermann, ESMT Berlin
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Susanne Beck
Warwick Business School
TIM Division Representative-at-large
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