Call for Papers J-Fall 2018 is closed
Want to speak at the biggest Java Conference of the Netherlands? Then this is your chance! Submit your paper now in our Call for Papers application and inspire an audience of 1,500 Dutch Java professionals. A timeslot has 50 minutes. Attendees typically have intermediate to advanced Java skills and are looking for practical content to enhance their knowledge. Most valued sessions include best practices, code samples and/or live demos. Besides regular technical sessions, we are also looking for hands-on labs proposals and unconference-style sessions. Submitting multiple papers is allowed of course.
Call for Papers is closed since August 26, 2018
Information about J-Fall 2018
Technical session – a 50 minute presentation style session featuring technical content.
Hands-on labs (HOL) – a 120 minutes session that features self-guided lab descriptions for participants who bring their own laptops to experiment with certain technology. Typically a HOL features one or more instructors for troubleshooting.
Unconference – a 50 minutes facilitated, participant driven session centered around a theme or purpose. This kind of session will allow for more audience interaction led by a discussion leader.
Keynote – a 25 minute keynote for the entire audience of J-Fall
Quickie – a short, 15 minute talk about a technical or non-technical subject.
Ignite session – 5 minute fast-paced session about any topic you’d like to talk about. For more information, see here.
And, for the pre-conference event (November 7th, the day before J-Fall):
Pre-conference workshop – a 4 hour, expert-level workshop.
Java language – Java 9, Core Java APIs, Performance, Debugging.
Cloud – Cloud Native, Microservices, Paas, Iaas, Serverless, Containerization.
Enterprise – Java EE, Spring, BPM, Integration.
Alternative JVM languages – Kotlin, Scala, Groovy, Clojure.
Methodology & culture – Software Development Methodologies, Architecture, Culture, CI/CD, DevOps.
Big data & machine learning – Big Data, Artificial Intelligence, Machine Learning, Deep Learning, Streaming Data Processing.
Security – Encryption, Defensive Practices and Programming, Privacy.
New & Cool – Popular new technology and/or remarkable application of technology in the real world.