PPT-A Computational Approach to Provenance, Efficiency, Effectiveness, and Quality of Food

Overview Project Motivation Computational Challenges and Project Themes Education Broadening Participation and Broader Impacts Management Structure Motivation Safety of Food Systems is a Massive Problem. Key components of the business plan. Customers. Who will use your product. Who will see value in it. Channel. How you plan to reach these customers / users. Key resources / skills. What do you need to make sure that you can keep servicing your customer. Enrico Pontelli. Department of Computer Science. New Mexico State University. The buzzword…. “Computational Thinking” . The thought processes involved in formulating problems and their solutions so that the solutions are represented in a form that can be effectively carried out by an information processing agent [Wing-. Oct. 17, 2011. CollaborateCom. Jaehong. Park, Dang Nguyen and Ravi . Sandhu. Institute for Cyber Security. University of Texas at San Antonio. 1. Institute for Cyber Security. Group-centric Collaboration. Ontologies. . to Query Meteorological Data . . Thiago Marcos da Silva Barbosa. ,. Ednaldo. O. . Santos. , Gustavo . B. . Lyra,. Sérgio . Manuel Serra da . Cruz. LabData. Federal Rural . University. . Session 6: Interoperability. Session 6: Aims. In this session, you will learn about:. Steps towards interoperability. Interoperability challenges. Next steps towards . achieving . interoperability. . Session 1: Background. Luc Moreau. L.Moreau@ecs.soton.ac.uk. University . of Southampton. Session 1: Aims. In this session, you will learn about:. The notion of provenance. The Open Provenance Vision. Packing Experiments for Sharing and Publication. Fernando Chirigati. , Juliana . Freire. . |. . NYU-Poly . Dennis . Shasha. . |. NYU. Motivation. Published articles are not made reproducible. Computational reproducibility may be . Research and data at the . Freer|Sackler. Jeffrey Smith. Assistant Registrar for Collections Information. Freer|Sackler. smithje@si.edu. | 202-633-0348. 21. st. –Century Digital Provenance. Carnegie Museum of Art Pittsburgh, Pennsylvania. Allen Lee. Center for Behavior, Institutions, and the . Environment. https://. cbie.asu.edu. Computational Social Science. Wicked collective action problems. Innovation -> Problems -> . Innovation. Todd J. Green. University of Pennsylvania. Spring 2009 . The Case for a Collaborative . Data Sharing System (CDSS). Scientists build data repositories, need to share with collaborators. Goal: import, transform, modify (curate) each other’s data. Prof. Ravi Sandhu. Executive Director and Endowed Chair. April . 15, . 2016. ravi.sandhu@utsa.edu. www.profsandhu.com. . © Ravi Sandhu. World-Leading Research with Real-World Impact!. CS 6393 Lecture . Life Sciences . Linked Open Data Cloud. Ali . Hasnain et. al. Insight . Center for Data . Analytics. . National University of Ireland, . Galway. Agenda. Motivation. Linked Life Sciences Roadmap. Cataloguing and Linking. Raju, Todd Elsethagen, Eric . Stephan. 1. Pacific Northwest National Laboratory, Richland, WA. Provenance Goals. Provenance Overarching . Goals. Provide thorough results explanation. Reuse, repeat, or reproduce workflows. December 8, 2010. Dan Suciu -- CSEP544 Fall 2010. Outline. Database provenance. Slides based on Val . Tannen’s. Keynote talk at EDBT 2010. Data privacy. Slides from my UW colloquium talk in 2005. Dan Suciu -- CSEP544 Fall 2010.