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.

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The Harvard paper was not peer-reviewed before publication.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.

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.

This article first appeared in the 01 January 1970 issue of the New Statesman,

Joshua M. Jones for Emojipedia
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The emojis proposed for release in 2016 are faintly disturbing

Birds of prey, dead flowers and vomit: Emojipedia's vision for 2016. 

Since, as we're constantly being told, emojis are now the fastest growing languge in the UK, it seems only appropriate that its vocabulary should expand to include more commonly used images or ideas as its popularity increases. 

Next year, the Unicode Consortium, which decides which new codes can be added to the emoji dictionary, will approve a new round of symbols. So far, 38 suggestions have been accepted as candidates for the final selection. Emojipedia, an online emoji resource, has taken it upon itself to mock up the new symbols based on the appearance of existing emojis (though emojis are designed slightly differently by different operating systems like Apple or Android). The full list will be decided by Unicode in mid-2016. 

As it stands, the new selection is a little... well, dark. 

First, there are the faces: a Pinocchio-nosed lying face, a dribbling face, a nauseous face, an upset-looking lady and a horrible swollen clown head: 

Then there's what I like to call the "melancholy nighttime collection", including a bat, owl, fox, blackened heart and dying rose: 

Here we have a few predators, thrown in for good measure, and a stop sign:

There are a few symbols of optimism amid the doom and gloom, including a pair of crossed fingers, clinking champagne glasses and smiling cowboy, plus a groom and prince to round out the bride and princess on current release. (You can see the full list of mock-ups here). But overall, the tone is remarkably sombre. 

Perhaps as emoji become ever more popular as a method of communication, we need to accept that they must represent the world in all its darkness and nuance. Not every experience deserves a smiley face, after all. 

All mock-ups: Emojpedia.

Barbara Speed is a technology and digital culture writer at the New Statesman and a staff writer at CityMetric.