Strategies for Coping with Multiple Biological Safety Regulations in High-Containment Laboratories

The increase in biological safety regulations and/or guidelines regarding personnel and facilities in high containment laboratories demands constant vigilance by biological safety professionals responsible for safety in these environments. Safety professionals have been faced with legislative compliance issues in the past and have developed effective management methods to cope with the demands of these requirements. Examples include the impact of the National Institutes of Health (NIH) recombinant DNA (rDNA) Guidelines and the Occupational Safety and Health Administration's (OSHA) Bloodborne Pathogens Standard. This chapter will attempt to describe seven successful strategies for management of regulatory compliance in research that are based on an overall philosophy of developing a “culture of safety”. Strategies range from interactive involvement with administration and research staff to biological safety professional development.

Scheduling Optimization with LDA and Greedy Algorithm

Scheduling optimization is concerned with the optimal allocation of events to time slots. In this paper, we look at one particular example of scheduling problems - the 2015 Joint Statistical Meetings. We want to assign each session among similar topics to time slots to reduce scheduling conflicts. Chapter 1 briefly talks about the motivation for this example as well as the constraints and the optimality criterion. Chapter 2 proposes use of Latent Dirichlet Allocation (LDA) to identify the topic proportions in each session and talks about the fitting of the model. Chapter 3 translates these ideas into a mathematical formulation and introduces a Greedy Algorithm to minimize conflicts. Chapter 4 demonstrates the improvement of the scheduling with this method.