PPT-Adventures in computational reproducible research for ribos

Dave Beck dacbuwedu http facultywashingtonedu dacb Background Methane CH 4 is a greenhouse gas 85x more potent than CO 2 Atmospheric CH 4 have increased 150 200 years. Leeper Abstract Reproducible research and data archiving are increasingly important issues in research involving statistical analyses of quantitative data This article introduces the dvn package which allows R users to publicly archive datasets anal By Daniel Lee. CSE 3. Fluency with Information Technology. (FIT). Computational . Thinking is thinking at multiple levels of abstraction. For solving problems. For designing systems. For understanding the power and limits of human and machine intelligence. by . Hyungsun. Wang. CSE3. Fluency with Introduction Technology. This is my works from . the class for Fall 2013. . You can see different kinds. of computer works. This is Alice Program. to prepare the step of . Jeannette M. Wing. Assistant Director. Computer and Information Science and Engineering Directorate. National Science Foundation. and. President’s Professor of Computer Science. Carnegie Mellon University. Joseph L. Hellerstein. Senior Data Science Fellow. eScience. Institute. University of Washington. Background. (New Scientist). (Reuters). Reproducibility is a foundation of science.. Reproducibility is the ability of an entire experiment or study to be reproduced, either by the researcher or by someone else working independently. in Secondary Data Analysis. Abraham D Flaxman. November 18, 2014. Outline. Reproducible research. Secondary data analysis. Doing Both Together. Reproducible secondary data. Reproducible data analysis. Presenter: Deborah Paul. Florida State University. Integrated . Digitized . Biocollections. (iDigBio. ). at Biodiversity Information Standards (TDWG) . 2014 . Conference . Elmia. Congress Centre, Rydberg . Reproducible Research in Minutes. Reproducible Research is the new paradigm. And more graphics should be interactive. So, why don’t people do it?. Never learned how. It’s a hassle . No consistent platform. thinking. By Savannah Roberts. CSE . 3. Fluency with Information Technology. Computational Thinking [. Introduction/. Course Overview. ]. This is for non-engineering majors. In this course, we will learn to be proficient with certain computer applications.. Presented by. Julia C. White. INCITE Manager. whitejc@DOEleadershipcomputing.org. 865-241-8796. Innovative and Novel Computational Impact on Theory and Experiment. Seeks very computationally intensive, large-scale projects to significantly advance science and engineering. Marco . Canini (KAUST) and Jon Crowcroft (. University of Cambridge). What it takes to do reproducible research?. It is actually hard work for both authors and reproducers. Produce solid artifacts. Create, package, share reproducible experiments. CS Principles – Big . I. deas. Computing is a creative human activity that engenders innovation and promotes exploration.. Abstraction reduces information and detail to focus on concepts relevant to understanding and solving problems.. Enrico Pontelli. What is NSF?. DISSECT – grant from the National Science Foundation. An independent . federal agency . created . by Congress in 1950 . ". to promote the progress of science; to advance the national health, prosperity, and welfare; to secure the national defense. Marco . Canini (KAUST) and Jon Crowcroft (. University of Cambridge). What it takes to do reproducible research?. It is actually hard work for both authors and reproducers. Produce solid artifacts. Create, package, share reproducible experiments.