Your Inputs and Survey Questions

We would like to hear from you about the HKUST Data Science Initiative

Survery questions (ITSC account login)

  1. Would you be interested in joining data science group at HKUST with regular email updates of data science activities/info at HKUST? (yes/no)
  2. Would your work require data processing and analysis?
  3. What is your major interests/expertise in a specific domain of data science? ((1) business data, (2) social science and humanities data, (3) physical science and engineering data, (4) biomedical/health data, and others)?
  4. Are you interested in being a faculty co-mentor (with one mentor having substantive/disciplinary expertise, and the other mentor having methodological expertise) in a capstone project in a future UG minor program in data science? (yes/no)
  5. Are you interested in being a faculty co-supervisor in a future MPhil program in data science if every student is to be co-supervised by two data-science faculty members? (yes/no)
  6. Please list any PG or UG courses you teach regularly that are of potential interest to students seeking training in data science. This could include courses in data analysis, management, visualization, mining. For each, please include the code for the course and the title.
  7. Are you interested in co-organizing a conference related to applications of data science?
  8. Question on Data Archiving
    If the Library (possibly in collaboration with ITSC) establishes a cloud-based collaboration workspace/platform for researchers to store, manage, share and/or publish their research data, would you use it?
    - Store (yes/no)
    - Manage (yes/no)
    - Share (yes/no)
    - Publish (yes/no)
    - Estimated size of data (in Giga-Byte): ______________________

Submit your inputs (ITSC account login)

  1. PG Research programs (e.g., MPhil and/or Ph.D. in Data Science with application-specific tracks)
  2. UG educational programs
  3. Data Science Courses offered University-wide
  4. Areas of focus
  5. Computing facility and data storage support
  6. Areas for new faculty recruitment
  7. Any other Items