3. The internet of things. The introduction of sensors and processors that are connected to the internet for most of the objects around us will offer society and the science community a trivial route to build, for example, networks of off-the-shelf sensors and processors to monitor and control artificial intelligence (AI) environments and robotics systems. For example, it is not too hard to imagine a 3D printer that prints parts of a synthesis robot that itself may then be put online to receive control commands from a virtual reality devoted to chemical or materials synthesis to produce a specific chemical or material. This is closely connected to the next driver. 5. The sharing economy and distributed trust enables new social; and business models. Tools like the blockchain promise to change the way we think about money and transactions in the real world. This will have an impact on how data is acquired or generated, stored and managed in a complete reproducible and controlled way -smart evidence. It will ensure that data is immutable and protected, the user will no longer have to, for example, trust services providers as Google, Dropbox, etc. to not manipulate the data. Blockchaining will also affect how research results are published. For instance, controversial data or results can be published anonymously while the integrity of the presented data acquisition is completely verifiable. Blockchaining will create new ways of funding -smart contracts that will potentially disrupt the way science is funded.