Outreach & Education

Using Cyberinfrastructure (CI) to Integrate Research with Education

Using CI to address complex scientific and societal challenges will require a new level of technical competence in the 21st century workforce. The Consortium faces three principal challenges in helping to meet the national need. First, there is a need to train graduate students, postdoctoral associates, and faculty with the skills that will enable them to effectively utilize CI to address climate change and other grand scientific challenges. Second, we need to better develop quantitative reasoning, data analysis, and modeling skills in our middle and high school students. Third, we need to improve our outreach to leaders from business and industry in our states, educating them about new CI technologies and associated economic development opportunities.

Education and Cyberlearning Activities

Using climate change as the underlying theme, we are developing three activities that are designed to expand CI awareness, increase use of CI, and better integrate quantitative reasoning, data analysis, and climate change modeling with education. First, a series of training opportunities to develop CI capacity and provide hands-on experience with climate modeling and scientific information systems is provided for graduate students, postdoctoral associates, and faculty. Second, new cyber-enabled curriculum and education materials are being created and implemented for middle school and high school science education. Third, we are expanding CI awareness and promoting economic development opportunities by hosting CI Days, with business and industry as a target audience. Details about the three objectives can be found in this presentation.


Component Lead:
     Nancy Glenn (ID)
     Nancy Glenn (State Lead)
     Kent Crippen (State Lead)

New Mexico:
     Lori Liebrock (State Lead)
Idaho EPSCoR Nevada EPSCoR New Mexico EPSCoR
This material is based in part upon work supported by: The National Science Foundation under grant number(s) IIA-1329469, IIA-1329470 and IIA-1329513. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.