Category: AI Data and Society

Should the generative AI scholar be fast or slow?

Across all disciplines norms are being established around the role of generative AI in research. Discussing a recent LSE Impact Blogpost on academic responses to AI, Eric A. Jensen suggests that clear, practical guidance needs to be developed by specif…

If generative AI is saving academics time, what are they doing with it?

Drawing on a recent survey of academic perceptions and uses of generative AI, Richard Watermeyer, Donna Lanclos and Lawrie Phipps suggest that the potential efficiency promised by these tools disclose which work is and isn’t valued in academia. Widespr…

Rigorous, open-access analysis and data can drive business towards net zero

Achieving a net zero transition requires co-ordination and concerted effort by multiple stakeholders across the economy, including investors. Discussing the Transition Pathway Initiative at the Grantham Research Institute at LSE, Carmen Nuzzo explores …

Escape from Model Land: How Mathematical Models Can Lead Us Astray and What We Can Do about It – review

In Escape from Model Land: How Mathematical Models Can Lead Us Astray and What We Can Do about It, Erica Thompson explores how mathematical models are used in contexts that affect our everyday lives – from finance to climate change to health policy – a…

Dashboards have the power to make complex research accessible to the public and policymakers

While researchers often point to the relevance of their research, economic models and econometric methods are typically inaccessible to a wider audience. Gabriel Ahlfeldt explains how interactive dashboards represent a useful, yet underutilised, tool t…

2023 in Review – The impact of generative AI on higher education

The mainstreaming of Generative AI technologies over the past year has led to a fundamental re-evaluation of many long-held academic institutions and the purpose of higher education and learning. This review brings together a selection of posts explori…

Pockets of humanity in a world of automated research writing

Is academic writing thinking, or simply the written output at the end of a research project? Morten Hansen argues that as large language models become better at producing academic copy educators should focus on the fundamentally developmental and human…

When more is less – what makes environmental data useful?

Improvements in technology and data processing now enable the effects of air pollution to be monitored by individuals. However, as Dawn Nafus discusses this radical singularisation poses challenges for broad-based community action. From computer vision…