Technology 1 May 2013 We need to stop worrying and trust our robot researchers The work of Francis Crick and James Watson gives us a vision of what's to come. Print HTML It’s now 60 years since the publication of the structure of DNA. As we celebrate the past, the work of Francis Crick and James Watson also gives us a vision of what’s to come. Their paper was not subjected to peer review, today’s gold standard for the validation of scientific research. Instead, it was discussed briefly over a lunch at the Athenaeum Club. In an editorial celebrating the anniversary, the journal Nature, which originally published the research, points out that this is “unthinkable now”. However, peer review has always been somewhat patchy and it is becoming ever more difficult. This is the age of “big data”, in which scientists make their claims based on analysis of enormous amounts of information, often carried out by custom-written software. The peer review process, done on an unpaid, voluntary basis in researchers’ spare time, doesn’t have the capacity to go through all the data-analysis techniques. Reviewers have to rely on their intuition. There are many instances of this leading science up the garden path but recently we were treated to a spectacular example in economics. In 2010, Harvard professors published what quickly became one of the most cited papers of the year. Simply put, it said that if your gross public debt is more than 90 per cent of your national income, you are going to struggle to achieve any economic growth. Dozens of newspapers quoted the research, the Republican Party built its budget proposal on it and no small number of national leaders used it to justify their preferred policies. Which makes it all the more depressing that it has been unmasked as completely wrong. The problem lay in poor data-handling. The researchers left out certain data points, gave questionable weight to parts of the data set and – most shocking of all – made a mistake in the programming of their Excel spreadsheet. The Harvard paper was not peer-reviewed before publication. It was only when the researchers shared software and raw data with peers sceptical of the research that the errors came to light. The era of big data in science will stand or fall on such openness and collaboration. It used to be that collaboration arose from the need to create data. Crick and Watson collaborated with Maurice Wilkins to gather the data they needed – from Rosalind Franklin’s desk drawer, without her knowledge or permission. That was what gave them their pivotal insight. However, as Mark R Abbott of Oregon State University puts it, “We are no longer data-limited but insight-limited.” Gaining insights from the data flood will require a different kind of science from Crick’s and Watson’s and it may turn out to be one to which computers and laboratorybased robots are better suited than human beings. In another 60 years, we may well be looking back at an era when silicon scientists made the most significant discoveries. A robot working in a lab at Aberystwyth University made the first useful computergenerated scientific contribution in 2009, in the field of yeast genomics. It came up with a hypothesis, performed experiments and reached a conclusion, then had its work published in the journal Science. Since then, computers have made further inroads. So far, most (not all) have been checked by human beings but that won’t be possible for long. Eventually, we’ll be taking their insights on trust and intuition stretched almost to breaking point – just as we did with Crick and Watson. › Who is the Cameron family member who doesn't vote Tory? President Obama inspects a robot built in Virginia. Photograph: Getty Images. Michael Brooks holds a PhD in quantum physics. He writes a weekly science column for the New Statesman, and his most recent book is At the Edge of Uncertainty: 11 Discoveries Taking Science by Surprise. Subscribe More Related articles Why, as a lesbian unsure about parenthood, I checked out the Tinder-style app for sperm Which companies are making driverless cars, and what are their competing visions for the future? It’s 2016, so why do printers still suck?