Blog

We’re all familiar with the way knowledge is siloed by organizational structures and the momentum of daily work. Cross-pollination is key to innovation, but it goes against the current. So it’s hard, and the serendipity of chance conversations at the water cooler or a conference happy-hour often determines if it happens.

Even if an organization intentionally shares across domains, knowledge gets trapped behind disciplinary barriers. A surgeon doesn’t speak the same scientific language as a chemist. But thoughtful sharing between them led to a major innovation in medical science.

Most innovation management software (a.k.a. innovation software) is focused on generating and curating ideas. Ideas are explicit. They’ve been articulated, inside your head at the very least. Implicit knowledge, the context of an idea, is where many big opportunities reside.

Innovation relies on new perspective. We’ve found there are two ways to get that: collaboration and data. Either one can free our attention from the daily productivity push and spur an innovation.

It’s hard to create effective interdisciplinary teams or facilitate useful interdisciplinary exchanges. Research grants are increasingly calling for interdisciplinary collaboration as a requirement for funding. Interdisciplinary endeavors are popping up in academic settings and research foundations. Interdisciplinarity is a necessity for solving complex problems. But executing interdisciplinary collaboration is easier said than done.