糖心Vlog

From Oculus Rift to Facebook: finding money and data in the crowd

Crowdsourcing advocate Andy Hudson-Smith discusses the funding and social-media mining potential of mass appeals

Published on
July 10, 2014
Last updated
June 10, 2015

Source: Alamy

Helping hands: research using Facebook could be 鈥榝antastically powerful鈥

Crowdsourcing could revolutionise the way scholarly research is funded and conducted over the next few years, an academic has suggested.

Andy Hudson-Smith, director and deputy chair of the Bartlett Centre for Advanced Spatial Analysis at University College London, made the claim at the Economic and Social Research Council鈥檚 annual on 8 July.

He noted that in his field, spatial analysis and visualisation, 鈥渁ll the exciting hardware that has recently come out has been funded by the crowd鈥. This included the Oculus Rift virtual reality headset, which his centre had helped to crowdfund out of its consultancy revenue.

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According to Dr Hudson-Smith, he had identified that the headset, which was developed by an independent technology firm with the aid of a reputed $2.5 million (拢1.5 million) in crowdsourced funding, would further the centre鈥檚 research capabilities.

However, the academic world had been slow to follow the commercial world鈥檚 use of crowdsourcing, and Dr Hudson-Smith predicted a 鈥渂ig push鈥 in the next few years.

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鈥淵ou can do your academic YouTube elevator pitch and then ask for a contribution of 拢20 or 拢30. If those mount up, you could rapidly have a multimillion-pound bid without having to wait the normal eight months [for a] one in eight chance of funding from the [traditional] research funding system,鈥 he told 糖心Vlog ahead of the conference.

Crowdfunded projects had 鈥渘atural impact鈥 and could be especially attractive for early career researchers who find it hard to win significant research council funding.

He admitted that not all pitches would succeed, but their chances would be enhanced by the fact that they came 鈥渇rom the heart鈥 rather than arising out of consideration of what a given research council would fund under a specific research theme.

Dr Hudson-Smith also accepted that the success of social scientists in eliciting research funding would be hampered by the crowd鈥檚 preference for supporting 鈥渟omething they feel part of鈥, such as a project that promises 鈥渁 bit of kit they can plug in at home鈥. Social scientists could, however, use the crowd to conduct real-time research by 鈥渃rowdmining鈥 data from social media sites such as Twitter and Facebook.

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The ethics of doing so could be 鈥渢ricky鈥, Dr Hudson-Smith said, as the data came with individuals鈥 personal details 鈥 which academics typically felt obliged to strip out. But, he noted, opposition to using the full data tended to come from academics themselves 鈥 鈥渨ho are trained to do things in a certain way [informed by] ethics board clearance鈥 鈥 rather than from the public.

The terms to which social media users agree 鈥 usually without reading them 鈥 grant permission for the mining of their data. 鈥淭hat is quite scary but fantastically powerful from an academic research point of view,鈥 Dr Hudson-Smith said.

Even without a rethink on the ethical issues, the potential remained for a fusion of crowdsourcing with current research methods to 鈥渃hange the way we view the world around us from an academic point of view鈥, he said.

paul.jump@tsleducation.com

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