As part of the science review and the innovation agenda review we welcomed the opportunity for clusters to be created, but with some broad principles underpinning that. One is that there would be an open, competitive process, that it wouldn't be picking winners, but through an open, competitive process the best would be chosen, and that institutions such as universities, colleges, and polytechnics would need to be partners because they bring a lot to the clusters that are being developed.
From what I understand there are a number being developed that are not only geographically clustered, but are drawing in expertise from across the country because geographically we need to be able to have a network approach to excellence when it comes to particular areas like agrifood and advanced manufacturing.
Our members have been quite interested in being partners in the superclusters initiative and are really getting behind specific proposals.
What I would add, though, is that it's a tool in the innovation ecosystem. I go back to my earlier comments that we also need to be investing at the front end of the pipeline. There's the Naylor report that came out in April, which talks about the need to reinvest in discovery research to fuel what is now our strong expertise in artificial intelligence. Thirty years ago Geoff Hinton at U of T was toiling away, through NSERC grants, and that was part of what led to what we have now in terms of Canada's global expertise in AI.
For us, the superclusters are an important element, but not without being in a broader context of well-resourced discovery research and some of the other programs we've talked about today.