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 …

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

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  • * ** ***
  • Look at scale free network definitions in wikipedia, web, semantic networks.

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  • 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. 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. 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. 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. 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. 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. 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. Modern informatics enables a new scale-free framework approach