The huge numbers of people using social media makes online social networks an attractive source of data for researchers. But in order for the resultant huge numbers of research publications that involve social media to be credible and trusted, their methodologies, considerations of data handling and sensitivity, analysis, and so forth must be appropriately documented. We believe that one way to...

Human computation is the technique of performing a computational process by outsourcing some of the difficult-toautomate steps to humans. In the social and behavioral sciences, when using humans as measuring instruments, reproducibility guides the design and evaluation of experiments. We argue that human computation has similar properties, and that the results of human computation must be repro...

Due to non-associativity of floating-point operations and dynamic scheduling on parallel architectures, getting a bit-wise reproducible floating-point result for multiple executions of the same code on different or even similar parallel architectures is challenging. In this paper, we address the problem of reproducibility in the context of matrix multiplication and propose an algorithm that yie...

The recently introduced Kallisto pseudoaligner has radically simplified the quantification of transcripts in RNA-sequencing experiments.  We offer cloud-scale RNAseq pipelines Arkas-Quantification, which deploys Kallisto for parallel cloud computations, and Arkas-Analysis, which annotates the Kallisto results by extracting structured information directly from source FASTA files with per-contig ...