Resources

Students and teachers are introduced to data and network science foundations including graph theory, statistical inferencing, data mining, systems theory, and information visualization. On a practical level, students learn computational skills for visualizing and analyzing data using Gephi, Python, Javascript D3, Processing and R. At the end of our summer’s workshop, student teams are armed with tools to embark on a year-long journey of independent discovery.

Our evolving suite of Resources for student teams and mentors include:

• Workshop Training Manual – NetSci High summer workshop materials that we are developing into a more general training manual related programs can be replicate elsewhere.

• Online Resources – A survey of online tutorials, visualizations, and presentations we use in our workshops.

• Software Tools – Project developed software to design optimized networks, Gephi and Python-NetworkX tools and tutorials, and NetLogo Network Extensions.