Global Cybersecurity Index (GCI) and the Role of its 5 Pillars

Computer crime is a matter of increasing concern, and worldwide action is required if the proper responses to it are to be found. One of the tools that can be deployed here is the Global cybersecurity index (GCI), a control and feedback mechanism based on a composite indicator. The GCI is based on a hierarchy of sub-indicators. The indicators used for the final aggregation of the CGI are called pillars. Five pillars are applied to rank the eleven countries that are top of the rankings in a worldwide study. In this paper, our ranking is based on these pillars, and their role is investigated using partial order methodology. It turns out that the pillars “Technical (aspects)”, “Capacity building”, and “Cooperation” are of particular importance. In conclusion, a strategy is suggested for an “individualized ranking” that may be helpful for small and medium-sized enterprises (SMEs) or other institutions. Here, we apply the procedure for the project “Awareness Laboratory SME (ALARM) information security” and put our ideas up for discussion. In particular, the mathematical method will be transferred to SMEs as a means to support the effectiveness of awareness-raising measures and to improve the security behaviour of company employees.

     

CHILDREN OF A (POLICY) REVOLUTION: THE INTRODUCTION OF UNIVERSAL CHILD CARE AND ITS EFFECT ON FERTILITY

What role does affordable and widely available public child care play for fertility? We exploit a major German reform generating large temporal and spatial variation in child care coverage for children under the age of three. Our precise and robust estimates on birth register data reveal that increases in public child care have significant positive effects on fertility. The fertility effects are more pronounced at the intensive than at the extensive margin, and are not driven by changes in the timing of births or selective migration. Our findings inform policy makers concerned about low fertility by suggesting that universal early child care holds the promise of being an effective means of increasing birth rates.     

Hierarchical Multi‐skill Resource Assignment in the Telecommunications Industry

We formulate a discrete time Markov decision process for a resource assignment problem for multi‐skilled resources with a hierarchical skill structure to minimize the average penalty and waiting costs for jobs with different waiting costs and uncertain service times. In contrast to most queueing models, our application leads to service times that are known before the job is actually served but only after it is accepted and assigned to a server. We formulate the corresponding Markov decision process, which is intractable for problems of realistic size due to the curse of dimensionality. Using an affine approximation of the bias function, we develop a simple linear program that yields a lower bound for the minimum average costs. We suggest how the solution of the linear program can be used in a simple heuristic and illustrate its performance in numerical examples and a case study.