Now, science is so complicated and based on data sets so absolutely huge that it requires collaboration and computation in order to make sense.

My contention for a little over a decade now, is that the Green Movement stumbled badly when moving from resource protection (of air, water, and soil) into ecosystem protection where the required science is both data-intensive and computation-intensive, not to mention interdisciplinary (which means not taught at university level, which has changed over last 20 years). And it is exactly correct to note that manipulating, storing, and general database management is huge computational effort that will not be adequately tackled until quantum and/or optical or nano-computing becomes reality.

It is also interesting to note that technical advances in data manipulation (software and hardware) to support data streams that are both dense and integrated are phenomenal – well ahead of AI which is close to dead in the water.