Topics of interest | Submission guidelines | Important dates | Steering Committee

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 the different aspects related to Data Science and Security, and to help them transform their ideas into the innovations of tomorrow.

Topics of interest

Big Data and Data Science

  • data science for business systems and applications
  • business intelligence
  • linked (open) data
  • knowledge representation and reasoning
  • knowledge graphs
  • big data analytics
  • real-time big data analysis and streaming analytics / stream reasoning
  • standards, data models, and business models for big & smart data
  • corporate semantic web and semantic web applications
  • sentiment analysis, emotion mining
  • data integration from Web information sources
  • modelling and describing evolving data sources
  • information gathering for supporting knowledge-intensive enterprises

Data Security

  • Social media data
  • Mobile security
  • Data protection
  • Workplace and public space monitoring
  • Bring-your-own-device management
  • Cloud security
  • Globalization
  • Information Rich and Information Poor
  • Preventing computer crime
  • Black, white, and gray hats

Artificial Intelligence

  • smart machines
  • artificial intelligence methods and tools
  • cognitive computing in business systems and applications
  • machine learning

ICT Project Management

  • tools and techniques
  • stakeholder and user management
  • effort, time, and cost estimation
  • resource management
  • risk management
  • quality management
  • global and virtual teams

Smart Infrastructures

  • cloud computing
  • fog and edge computing
  • security and privacy
  • (micro) services architectures
  • sensor systems
  • software-defined infrastructures
  • agent systems and collective intelligence
  • internet of things and cyber-physical systems
  • industry 4.0

Social Media and Web-based Business Information Systems

  • social CRM
  • social user experience
  • social media in business
  • social media and privacy
  • social media analytics
  • social network analytics
  • social computing
  • social sentimental analysis
  • communities and crowdsourcing
  • social semantic web and pragmatic web
  • web / social / distributed search
  • personalized search and recommendation
  • user interfaces and human computer interaction

Applications, Evaluations, and Experiences

  • smart cities
  • e-government
  • business related e-science
  • mobile applications
  • industry specific applications
  • future directions and interdisciplinary relations

Submission guidelines

  • BIS 2020 proceedings will be published as a volume in Lecture Notes in Business Information Processing (LNBIP) series by Springer Verlag
  • Information for LNBIP authors may be found at page
  • Submission system is available at EasyChair
  • Submission guidelines can be found at page

Important dates

  • Submission deadline for conference papers:  December 10, 2019
  • Notification of acceptance/rejection: February 17, 2020
  • Submission of final papers: March 8, 2020
  • The conference: June 8 – 10, 2020

Steering Committee

  • Prof. Witold Abramowicz
  • Prof. Gary Klein
  • Prof. Adrian Paschke
  • Prof. Kurt Sandkuhl