The much-hyped technology behind Bitcoin, known as blockchain, has intoxicated investors around the world and is now making tentative inroads into science, spurred by broad promises that it can transform key elements of the research enterprise. Supporters say that it could enhance reproducibility and the peer review process by creating incorruptible data trails and securely recording publication decisions. But some also argue that the buzz surrounding blockchain often exceeds reality and that introducing the approach into science could prove expensive and introduce ethical problems.
A few collaborations, including Scienceroot and Pluto, are already developing pilot projects for science. Scienceroot aims to raise US$20 million, which will help pay both peer reviewers and authors within its electronic journal and collaboration platform. It plans to raise the funds in early 2018 by exchanging some of the science tokens it uses for payment for another digital currency known as ether. And the Wolfram Mathematica algebra program — which is widely used by researchers — is currently working towards offering support for an open-source blockchain platform called Multichain. Scientists could use this, for example, to upload data to a shared, open workspace that isn’t controlled by any specific party, according to Multichain.
Blockchain, a technology that creates an immutable public record of transactions, has a “Wild West, boom or bust culture”, says Martin Hamilton, a London-based resident futurist at Jisc, which supports digital services in UK education. He warns that academics and entrepreneurs might be tempted to add the technology solely to make their projects seem “magical and sparkly”. As one sign of this trend, consulting firm Deloitte has identified more than 24,000 aborted, largely financial, blockchain projects on the GitHub software-development platform in 2016 alone. Yet Hamilton still says blockchain has incredible potential. “There will be things that we try which simply blow up in our faces,” he says. “But the rewards can be huge, if you’re willing to take a calibrated risk.”
Blockchain underlies cryptocurrencies such as Bitcoin, which is traded as units called bitcoins, with a lowercase ‘b’. It is created by a community of ‘miners’, who run Bitcoin software on their hardware and compete to discover a hard-to-find number by trial and error. The victor of this contest adds an encrypted block of transactions to the chain and earns a financial reward. They communicate the extended blockchain to all the other miners, and the process starts again.
Mining takes a lot of computation, which makes it unlikely that any individual will win twice in a row. This is crucial, because if miners could add more than one block, they could gain power over the record and even discard earlier blocks they had added. That would effectively refund their transactions and enable them to spend the same bitcoins again. In 2016, a consortium of miners highlighted that vulnerability by working together to add multiple blocks, although the group voluntarily disbanded once they came close to achieving it. And because mining is hungry for computing power, Bitcoin’s miners consume more electrical power than many countries, according to analysis platform Digiconomist.
One way blockchain technology could help scientists is by reliably collecting and preserving data concerning research activities. This would make it easier to reproduce results in cases where published accounts insufficiently explain methodologies, according to Joris van Rossum, director of special projects at Digital Science, a research-technology firm in London. Blockchains could also be used to track each transaction in the peer-review process, says van Rossum, which could build trust in the process by recognizing reviewers’ efforts and potentially rewarding them with digital currency. And open blockchains would generate information such as how frequently researchers collect measurements, enabling people to look beyond metrics such as publications and citations, he says1.