Decision, Risk And Big Data Analytics
Students will look at challenging topics related to decision, risk, and big data analytics.
Project description
The students will work with faculty, graduate students, and other undergraduate students on challenging topics related to decision, risk, and big data analytics. The tools that will be used include: network analysis, mathematical modeling, data analysis, machine learning, decision analysis, and programming (e.g., using Matlab, R, PHP, Java, Python). Examples of recent projects include the modeling of misinformation spreading and debunking on social media, fire risk forecasting and resource management, human trafficking and smuggling, and border security.
Project outcome
The students would finish a research report. There will be opportunities to get journal or conference publications, and conference presentations.
Project details
| Length of commitment | Year-long; 10-12 months |
| Start time | Anytime |
| Level of collaboration | Large group collaboration |
| Benefits | Academic credit; work study; stipend |
| Who is eligible | All undergraduate students who are studying or interested in engineering, decision analytics, and/or data analytics. |
Goldwater and the National Science Foundation
Students participating in this project might be interested in and eligible for the Goldwater Scholarship and the National Science Foundation Graduate Research Fellowship. Connect with the Office of Fellowships and Scholarships to learn more.
Project mentor
Jun Zhuang
Professor
Industrial and Systems Engineering
Start the project
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Preparation activities
The specific preparation activities for this project will be customized through discussions between you and your project mentor. Please be sure to ask them for the instructions to complete the required preparation activities.