  The measurable properties of the artifacts or objects in the computer,
management, or finance disciplines are extrinsic, not inherent -- dependent on
their problem definitions and solution instantiations. Only after the
instantiation can the solutions to the problem be measured. The processes of
definition, instantiation, and measurement are entangled, and they have complex
mutual influences. Meanwhile, the technology inertia brings instantiation bias
-- trapped into a subspace or even a point at a high-dimension solution space.
These daunting challenges, which emerging computing aggravates, make metrology
can not work for benchmark communities. It is pressing to establish independent
benchmark science and engineering.
  This article presents a unifying benchmark definition, a conceptual
framework, and a traceable and supervised learning-based benchmarking
methodology, laying the foundation for benchmark science and engineering. I
also discuss BenchCouncil's plans for emerging and future computing. The
ongoing projects include defining the challenges of intelligence, instinct,
quantum computers, Metaverse, planet-scale computers, and reformulating data
centers, artificial intelligence for science, and CPU benchmark suites. Also,
BenchCouncil will collaborate with ComputerCouncil on open-source computer
systems for planet-scale computing, AI for science systems, and Metaverse.
