Doing science the Wonga way
The model used by the payday loans company might finally make science work for everyone. Could we be about to enter the age of Wonga science?
Occasionally a corporate entity tries to get science done its way. Google, for instance, sponsors various researchers to find out whether their worthy, planet-improving idea can work. But what would we get if the payday loans company Wonga.com sponsored science?
It’s not an idle question. Just recently, up in committee room 17 of the House of Commons, Chi Onwurah, Labour’s science minister, gathered academics and asked for thoughts on the public role of science and how we should fund it. The responses weren’t terribly conclusive or enlightening. But one interesting thing came up – the origins of Wonga.
Wonga’s eye-watering prices (borrowing £400 for 28 days will cost you £117.48, for example) have been the subject of questions downstairs in the Commons and the Lords. Stella Creasy MP is trying to get the Financial Services Authority to cap the rate of interest a company can charge. She is supported in the other chamber by the future archbishop of Canterbury, who has called Wonga’s business model “morally wrong”.
Apparently the algorithm behind Wonga.com was originally developed to detect banking fraud. The subtext in Onwurah’s meeting was clear – Wonga is an evil application of perfectly good algorithms, and if someone had said those algorithms could lead to Wonga questions would have been asked of those funding their development. Especially, perhaps, if Onwurah were in charge. When Wonga ploughed £24m into Newcastle Football Club in exchange for on-shirt advertising, Onwurah, MP for Newcastle Central, expressed outrage. She called Wonga a source of “debt and misery”.
There are two reasons to take issue with this. First, many people are clearly happy to pay hundreds of pounds for a short-term loan. Wonga’s reported customer satisfaction is above Apple’s and far above that recorded by any of the high-street banks. Second, Onwurah’s remit is innovation, science and digital infrastructure and yet she slurs a company that has used science and digital infrastructure to innovate. The firm is expanding into the US and is on course to become a billion-dollar company next year.
The good news is that the government will soon have a Wonga-friendly chief scientific adviser. Mark Walport is at present the director of the Wellcome Trust, the UK’s largest scientific and medical research charity and an investor in Wonga. When Creasy challenged Walport about this, he replied that he finds Wonga “extremely engaging”, with a good business model and a willingness to listen to feedback.
This bodes extremely well for Walport’s stint as the UK’s most influential scientist. Clearly, he’s not populist, he’s not swayed by conflicts with authority and he’s not averse to a bit of level-headed thinking.
If Onwurah comes round, she and Walport might even usher in the age of Wonga science. This would be open to no-fuss funding of projects and people that are currently considered unfundable, ending the pyramid scheme that makes life easy for established professors and near-impossible for those trying to become established. It would reward people who cross disciplines to achieve optimum productivity (one of Wonga’s co-founders, Jonty Hurwitz, trained as a mathematician and physicist and then became a software engineer and entrepreneur). Pursuing interdisciplinary research is widely known as a fast track to the funding wilderness.
Wonga science would present straight-talking science advice to government and pursue research that has no useful application in sight. It would also encourage scientists to take things we already have and find entirely new purposes for them. Most appealing, it might show us gaps in our scientific research that no one even realised were there. The Wonga model might finally make science work for everyone.