Curriculum development at theTetherless World Constellation – the days after the “Day One” initiative                 RDAP...
tw.rpi.edu            Future Web                                         •Web Science                                     ...
Govt. Data                                        •Open                                       •Linked         Hendler/ Eri...
Also at RPI• Data Science Research Center and Data  Science Education Center• http://www.rpi.edu/about/inside/issue/v4n17/...
Context               http://tw.rpi.edu/web/Courses                                 Experience      Data       Information...
Curriculum• Web Science and IT – undergrad, and MSc.  and PhD. (with science concentrations)• Environmental Science with G...
Dayz after…• Science and interdisciplinary from the start!   – Not a question of: do we train scientists to be     technic...
Modern informatics enables a new scale-free framework approach
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Curriculum Development at the Tetherless World Constellation - Peter Fox - RDAP12

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Curriculum development at the Tetherless World Constellation – the days after the “Day One” initiative


Peter Fox (RPI and WHOI)
Tetherless World Constellation


Training Data Management Practitioners panel
Presentation at Research Data Access & Preservation Summit 23 March 2012

Published in: Health & Medicine, Technology
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  • * ** ***
  • Look at scale free network definitions in wikipedia, web, semantic networks.
  • Curriculum Development at the Tetherless World Constellation - Peter Fox - RDAP12

    1. 1. Curriculum development at theTetherless World Constellation – the days after the “Day One” initiative RDAP March 22-23, 2012, New Orleans, LAPeter Fox (RPI and WHOI) pfox@cs.rpi.eduTetherless World Constellation
    2. 2. tw.rpi.edu Future Web •Web Science •Policy •Social Hendler Xinformatics •Data Science Fox Themes •Semantic eScience •Data Frameworks McGuinness Semantic Foundations •Knowledge Provenance •Ontology Engineering Environments •Inference, TrustMultiple depts/schools/programs ~ 35 (Post-doc, Staff, Grad, Ugrad)
    3. 3. Govt. Data •Open •Linked Hendler/ Erickson •Apps Env. Informatics Application •Ecosystems Fox Themes •Sea Ice •Ocean imagery •Carbon McGuinness/LucianoPlatforms: Bio-nano tech center Health Care/ Life Sciences •Population Science Exp. Media and Perf. Arts Ctr. •Translational Med Comp. Ctr. Nano. Innov. •Health RecordsData Intensive
    4. 4. Also at RPI• Data Science Research Center and Data Science Education Center• http://www.rpi.edu/about/inside/issue/v4n17/data – Over 35 research faculty, 5 post-docs, ? grad students• Data is one of Rensselaer Plans’ five thrusts• Other key faculty – Fran Berman (VPR) – Jim Myers (Director CCNI)
    5. 5. Context http://tw.rpi.edu/web/Courses Experience Data Information Knowledge Creation Presentation Integration Gathering Organization ConversationData Science Xinformatics Semantic eScience 5 Web Science
    6. 6. Curriculum• Web Science and IT – undergrad, and MSc. and PhD. (with science concentrations)• Environmental Science with Geoinformatics concentration• Bio, geo, chem, astro, materials - informatics• GIS for Science• Master of Science – Data Science (pending)• Multi-disciplinary science program (2012) PhD in Data and Web Science
    7. 7. Dayz after…• Science and interdisciplinary from the start! – Not a question of: do we train scientists to be technical/data people, or do we train technical people to learn the science – It’s a skill/ course level approach that is needed• We must teach methodology and principles over technology *• Data science must be a skill, and natural like using instruments, writing/using codes• Team/ collaboration aspects are key **• Foundations and theory must be taught ***
    8. 8. Modern informatics enables a new scale-free framework approach

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