M.A.S.S.: A Model for Producing Transfer

Transfer is the application in the workplace of the knowledge, skills and attitudes learned in training. With transfer, trainers hope to link training to increased job performance. However, training alone will not produce transfer. To affect job performance as a result of training, trainers must intentionally promote transfer using a variety of strategies based on known principles of human performance technology. The MASS model, presented in this paper, brings together four of these principles. According to the MASS model, trainers who promote transfer (and who thereby become performance technologists) 1) Motivate trainees to learn and use the training material; 2) increase trainees' Awareness of when to use new skills and ideas; 3) enable trainees to master and to apply Skills; and 4) give trainees psychological and physical Support on the job. When performance technologists follow the MASS model, they can expect to produce trainees who apply at work what they have been taught in training. Use of the model is illustrated with two examples.     

New physics searches at the BESIII experiment

The standard model (SM) of particle physics, comprised of the unified electroweak and quantum chromodynamic theories, accurately explains almost all experimental results related to the micro-world, and has made a number of predictions for previously unseen particles, most notably the Higgs scalar boson, that were subsequently discovered. As a result, the SM is currently universally accepted as the theory of the fundamental particles and their interactions. However, in spite of its numerous successes, the SM has a number of apparent shortcomings, including: many free parameters that must be supplied by experimental measurements; no mechanism to produce the dominance of matter over antimatter in the universe; and no explanations for gravity, the dark matter in the universe, neutrino masses, the number of particle generations, etc. Because of these shortcomings, there is considerable incentive to search for evidence for new, non-SM physics phenomena that might provide important clues about what a new, beyond the SM theory (BSM) might look like. Although the center-of-mass energies that BESIII can access are far below the energy frontier, searches for new, BSM physics are an important component of its research program. This report reviews some of the highlights from BESIII’s searches for signs of new, BSM physics by: measuring rates for processes that the SM predicts to be forbidden or very rare; searching for non-SM particles such as dark photons; performing precision tests of SM predictions; and looking for violations of the discrete symmetries C and CP in processes for which the SM expectations are immeasurably small.     

Normal Accidents of Expertise

Charles Perrow used the term “normal accidents” to characterize a type of catastrophic failure that resulted when complex, tightly coupled production systems encountered a certain kind of anomalous event. These were events in which systems failures interacted with one another in a way that could not be anticipated, and could not be easily understood and corrected. Systems of the production of expert knowledge are increasingly becoming tightly coupled. Unlike classical science, which operated with a long time horizon, many current forms of expert knowledge are directed at immediate solutions to complex problems. These are prone to breakdowns like the kind discussed by Perrow. The example of the Homestake mine experiment shows that even in modern physics complex systems can produce knowledge failures that last for decades. The concept of knowledge risk is introduced, and used to characterize the risk of failure in such systems of knowledge production.