Learning Reproducibility with a Yearly Networking Contest


Better reproducibility of networking research results is currently a major goal that the academic community is striving towards. This position paper makes the case that improving the extent and pervasiveness of reproducible research can be greatly fostered by organizing a yearly international contest.

Proceedings of the Reproducibility Workshop
Marco Canini
Associate Professor of Computer Science

My current interest is in designing better systems support for AI/ML and provide practical implementations deployable in the real-world.