We present a new computing environment for authoring mixed natural and computer language documents. In this environment a single hierarchically-organized plain text source file may contain a variety of elements such as code in arbitrary programming languages, raw data, links to external resources

-temporal con gurations constitute cultures. They are enacted, reproduced, and ultimately transformed by social actors, rooted in the social structure, yet freely engaging in con ictive social practices, with unpredictable outcomes. A fundamental feature of social structure in the Information Age is its

We describe ReproZip, a tool that makes it easier for authors to publish reproducible results and for reviewers to validate these results. By tracking operating system calls, ReproZip systematically captures detailed provenance of existing experiments, including data dependencies, libraries used

We present a nonintrusive system based on computer vision for human-computer interaction in three--dimensional (3-D) environments controlled by hand pointing gestures. Users are allowed to walk around in a room and manipulate information displayed on its walls by using their own hands as pointing

ABSTRACT There has been steady improvement in methods for capturing bioimages. However analysing these images still remains a challenge. The Python programming language provides a powerful and flexible environment for scientific computation. It has a wide range of supporting libraries for image

itself, it is merely advertising of the scholarship. The actual scholarship is the complete software development environment and the complete set of instructions which generated the figures. ” David Donoho, 1998. Reproducibility as a Framework • Open Data is a natural corollary of Reproducible Research

Generally, data and code not made available at the time of publication, insufficient information captured in the publication for verification, replication of results. ➡ A Credibility CrisisMy own experience (the long tail) our group at Stanford practiced “really reproducible research” inspired

Static environment maps fail to capture local reflections including effects like selfreflections and parallax in the reflected imagery. We instead propose parameterized environment maps (PEMs), a set of per-view environment maps which accurately reproduce local reflections at each viewpoint

that was refactored for cloud environments. Preliminary results show that provenance metadata captured from the virtual components running at the cloud can aid scientists to manage and reproduce their large scale in silico experiments. Categories and Subject Descriptors: H. Information Systems [H.3. Information

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