https://bisconf.org/2020/call-for-papers/

Data Science and Security in Business Information Systems

The growth of big data and ever-increasing connectivity combine to present both unique opportunity and risky exposure. Access to enormous quantities of data leads organizations to an interest in exploiting big data in a smart way. However, due to the attractiveness of accessible data stores, organizations must battle increased threats to data security. A broad approach allowing to extract a valuable knowledge from data is required for companies to make profits, be more competitive and survive in the even more dynamic and fast-changing environment all while protecting the data that assures their competitive edge, contains their intellectual property, and countenances their continued existence.

Data Science and Data Security are professions of today and the future, each requiring its unique set of knowledge and body of practice. Both rely on multiple fields of study, such as Mathematics, Statistics, Economics, Psychology, and Information Systems and use various scientific and practical methods, tools and systems. The key objective is to extract valuable information and infer knowledge from data for multiple purposes, starting from decision making, through product development, up to trend analysis and forecasting. Throughout the acquisition, storage, and manipulation of data, however, organizations must secure their data and system assets. Security requires effective technology and practices that deter, detect, and correct security violations, and an understanding of behaviors both benevolent and malevolent.

The BIS 2020 conference will foster the multidisciplinary discussion about Data Science and Security from both the scientific and practical sides, and its impact on current enterprises. Our goal is to inspire researchers to share theoretical and practical knowledge of different aspects related to Data Science and Security, and to help them transform their ideas into the innovations of tomorrow.