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A great analogy can often be the key to innovation, making it possible to transfer knowledge from one domain to another. Now researchers have shown that rather than relying on eureka moments, crowdsourcing and AI can dramatically speed up the search for these parallels.

Examples of analogies leading to major breakthroughs range from Edison’s early work in motion pictures to Kepler’s elucidation of the laws of planetary motion. But being able to strip away superficial differences and understand the underlying similarities between solutions to diverse problems has so far largely relied on individual genius.

That doesn’t need to be the case, though, according to the authors of a recent paper in PNAS. By splitting the task up and leveraging the strengths of both crowdsourcing and AI, they were able to find novel analogies that could help solve a variety of problems in creative ways.

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As part of its effort to upgrade its manufacturing sector, the Chinese government started a campaign in 2014 with the overall aim gradually replace manual labour with robots, with the heavily industrialised provinces of Jiangsu, Zhejiang, and Guangdong among those introducing the new technology on a massive scale.


Companies, including iPhone manufacturer Foxconn, are turning to robots with around 100 million workers in China’s manufacturing industry under threat.

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The six newly shortlisted initiatives include: a project that would explore how AI can enhance human capabilities; one to hasten clinical availability of cell and gene therapies; a personalized-medicine initiative; two projects that aim to make solar energy more efficient; and a humanities project called the Time Machine, which seeks to develop methods for enabling digital search of historical records in European cities.


AI enhancement and a virtual time machine are included in the shortlist of pitches.

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