If AI, open science and impact is transforming science - where does that leave diversity? A conversation with Digital Science

 There is no doubt that AI has thrown a lot of our conceptions of science—or at least how we work in and with science—up in the air. Digital Science has written a report about it: “Research Transformation: Change in the Era of AI, open and Impact: voices from the Academic Community.” We invited two of the authors, Suze Kundu and Simon Porter, on the podcast to chat about where this transformation leaves EDI and minorities. 

We explore the evolving landscape of research practices, the importance of open research, and the need for metrics that reflect inclusivity and holistic impact. The conversation also addresses the challenges of trust and security for minority groups in research, emphasising the need for collaboration and a shift in measuring research success. 

But we also wanted to push them on the challenges in research transformation, particularly focusing on data sharing, trust-building with communities, the role of AI, and the importance of upskilling researchers. While we perhaps can’t avoid this transformation—it can happen in a number of different ways—we must pay attention to who pays the price. 

 

You can read the report at: http://www.digital-science.com/academic-research-transformation?utm_source=external&utm_medium=referral&utm_campaign=academic_research_transformation&utm_term=digitalsci 

Or watch a short video presenting the report here:  https://youtu.be/ZSxKTDZHwuQ?feature=shared 

You can follow Suze here: https://www.linkedin.com/in/suzekundu/ 

You can follow Simon here: https://www.linkedin.com/in/simon-porter-9828471/ 

 

The episode is sponsored by Digital Science 

The episode is edited and produced by Peter Xiong. 

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If you're interested in our work with diversity and internationalisation in research, please visit www.diversiunity.com.