Data & Network Science in K-20 Education
Data & Network Science in K-20 Education @ BU aims to bring data, network, complexity and systems science literacy to a sustainable “K-20” STEM (Science, Technology, Engineering and Math) + Art education pipeline of innovators in research and education.
During the academic year, graduate student mentors from partner research labs together with high school teacher mentors guide the student teams in developing their research project. Students engage in data collection, data mining, data processing, and computational network modeling and analysis to discover answers to their specific research questions. The projects represent the interdisciplinary nature of network science and its ability to draw students of all interests into STEM fields. Student-driven research projects include:
- A Network Analysis of Foreign Aid Based on Bias of Political Ideologies
- Comparing Two Human Disease Networks: Gene-Based and Symptom-Based Perspectives
- Influence at the 1787 Constitutional Convention
- Quantifying Similarity of Benign and Oncogenic Viral Proteins Using Amino Acid Sequence
- Quantification of Character and Plot in Contemporary Fiction
- RedNet: A Different Perspective of Reddit
- Tracking Tweets for the Superbowl
Student teams culminate their year-long experience through joint activities with the next class of students at the summer workshop. Student teams present their research projects in a conference setting, offer personal tips to new student teams, with keynote lectures by leading experts in the network science community.
[NetSciHigh] has opened doors for me that would not be open without the program. I have continued to work with computer science as well as network science. I am currently working with [grad student] to map out the recent Ebola outbreak in West Africa. Thank you once again and I hope to hear from you soon. – J.I., member of 2013/14 New York metro area team
The NetSci High program has garnered scholarships for student participants, fostered student-authored publications in peer-reviewed journals, and supported student teams in presenting research posters at the International NetSci conferences in Budapest, Hungary; Chicago, Illinois; Berkeley, California; and New York City. We look forward to furthering data and network science literacy through scaling student research opportunities, broader teacher training, and connecting K-12 to undergraduate education, science research and public outreach.
Funding was provided by the National Science Foundation through the Innovative Technology Experiences for Students and Teachers program (ITEST) (Award # 1139478/1139482) and the Cyber-enabled Discovery and Innovation program (CDI) and the Office of International Science and Engineering (OISE) (Award # 1027752)