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Zeeya Merali's book tackles the possibility that scientists are getting closer to creating a tiny universe in the laboratory.

Ellis may have worked out a framework that puts time back into physics, but he's still a long way from convincing his peers.

The result is the bane of many a graduate student or postdoc's life: the 'monster code'.

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Q&A: The sci-fi optimist

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Interview by Zeeya Merali

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Science falsehood from Nature: Futures 2 ebook

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Merali, Z. Q&A: Say publicly sci-fi optimist. Nature513, 170–171 (2014). https://doi.org/10.1038/513170a

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DOI: https://doi.org/10.1038/513170a

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Computational science: ...Error

When hackers leaked thousands of e-mails from the Climatic Research Unit (CRU) at the University of East Anglia in Norwich, UK, last year, global-warming sceptics pored over the documents for signs that researchers had manipulated data. No such evidence emerged, but the e-mails did reveal another problem — one described by a CRU employee named "Harry", who often wrote of his wrestling matches with wonky computer software.

"Yup, my awful programming strikes again," Harry lamented in one of his notes, as he attempted to correct a code analysing weather-station data from Mexico.

Although Harry's frustrations did not ultimately compromise CRU's work, his difficulties will strike a chord with scientists in a wide range of disciplines who do a large amount of coding. Researchers are spending more and more time writing computer software to model biological structures, simulate the early evolution of the Universe and analyse past climate data, among other topics. But programming experts have little faith that most scientists are up to the task.

A quarter of a century ago, most of the computing work done by scientists was relatively straightforward. But as computers and programming tools have grown more complex, scientists have hit a "steep le

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Dave Sloan completed his Ph.D. in physics at the Pennsylvania State University in 2010. Following this, he did postdoctoral work at Utrecht and Cambridge before leading the physics of fine-tuning project at Oxford. In 2019, he joined the faculty of Lancaster University. His work focuses on mathematical approaches to the initial singularity in cosmology, issues related to quantum gravity, and foundational approaches to theoretical physics.