Modern companies and governments are increasingly software-managed as they become more digitalized and automated. The effects of digitalization enabled new economic models and transformed entire industries. Trends like IoT, big data analytics, articial intelligence, machine learning, as well as blockchain technology are expected to push digital transformation even further. Changes occur at an ever-increasing pace, require from organizations high velocity decision-making and flexible information systems that can rapidly align to these changes. While many of these technologies bear huge potential for information systems that are increasing flexibility and support high velocity decision-making, they also raise privacy, security, and ethical concerns and require trustworthiness. This poses new challenges for information systems engineers.
The CAiSE conference will continue its tradition as the premiere venue for innovative and rigorous research across the whole spectrum of Information Systems Engineering, while placing a special emphasis on the theme of Responsible Information Systems. This year’s theme acknowledges the need for designing information systems that are not only flexible enough for digital transformation, but are also responsible by considering privacy, security, and ethical concerns and providing trustworthiness.
Besides offering an exciting scientific program, CAiSE ’19 will feature a best paper award, a special issue, and a PhD-thesis award:
Papers should be submitted in PDF format. Submissions must conform to Springer’s LNCS format
and should not exceed 15 pages, including all text, figures, references and appendices. Submissions not
conforming to the LNCS format, exceeding 15 pages, or being obviously out of the scope of the conference, will be rejected without review.
Information about the Springer LNCS format can be found at:
Submission is done through CyberChair at the following page:
Accepted papers will be presented at CAiSE ’19 and published in the conference proceedings:
https://www.springer.com/computer/lncs (Springer Lecture Notes in Computer Science (LNCS)).