Detecting fraud in digital assessment is currently done by human proctor, that observes recordings of the exam. This is costly, tedious and time consuming process. In this paper we present preliminary results on automated video proctoring, which has the potential to significantly reduce manual effort and scale-up digital assessment, while retaining good fraud detection.

We present ReproducedPapers.org: an open online repository for teaching and structuring machine learning reproducibility. We evaluate doing a reproduction project among students and the added value of an online reproduction repository among AI researchers. We use anonymous self-assessment surveys and obtained 144 responses. Results suggest that students who do a reproduction project place more value on scientific reproductions and become more critical thinkers. Students and AI researchers agree that our online reproduction repository is valuable.

In this paper we describe the tool we developed to solve the VAST 2012 Challenge. We present how an expert can online analyze huge amounts of multivariate data in space and time. The visual components and the interaction between the system and the user are described, as well as the setup to allow on the fly processing and retrieval of huge amounts of data. We summarize how our tool helped us to solve the challenge.

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