SOCR Big Data & Predictive Analytics
The Statistics Online Computational Resource (SOCR) designs and disseminates educational materials, web-services, and advanced methods and tools in probability, statistics, machine learning, health analytics, and “Big Data” – very large datasets that are difficult to analyze and interpret in meaningful ways using classical probability/statistical methods. This team will:
- Develop enhanced SOCR analysis toolbox and visualization components with an emphasis on Big Data. The toolbox will be designed to run in a web browser and enhance the visual presentation and interpretation of Big Data. The creation of the toolbox to enhance SOCR infrastructure will allow many more researchers (including students) to learn about, appreciate, contribute, and apply complex analytics to their work, making Big Data much easier to turn into “big results.”
- Develop advanced AI/ML data analytics to address specific biomedical, healthcare, neuroimaging-genetics, and other applications.
Meeting time and location
The entire SOCR team meets once each semester face-to-face, twice each month typically on Fridays or Tuesdays at 8 am – 9 am via BlueJeans (distance synchronous communication), weekly in smaller project-specific team sessions, and coordinates asynchronously all progress, challenges, and interactions via G: Drive. Best meeting times will be finalized once students are identified. Each subteam arranges a convenient time to meet and work together.
Each SOCR sub-team is coached by an experienced graduate student that reports to the faculty principal investigator (PI). Sub-teams are mostly focused around developing particular functionality or addressing a particular application. The teams are flexibly structured to enhance creativity and opportunity for student growth. We have the following project sub-teams: SOCRAT, CBDA, DataSifter, Data Analytics, Data Science Fundamentals (see SOCR website for more information). As students develop experience they should expect to be offered increasing responsibility on assignments with multiple parts of the SOCR Lab.
Open Lab Meeting
Join us at an MDP Open Lab meeting to learn more about the research, meet current team members.
Location: VIRTUAL VIA BLUEJEANS: https://umich.bluejeans.com/1000000000000
See us at the MIDAS conference: https://midas.umich.edu/2019-symposium/