Sponsoring a Data Mine Project

Why sponsor a data mine project?

• Talent Access
  • Working with interdisciplinary students for 9 months (compared to 10 weeks in summer)
• Companies build name recognition
  • Competition with big firms
• Testing proof-of-concept projects
  • See what innovative students can create before putting internal resources on the effort
• Completing various odd projects
  • Projects that are known to add value but haven't made the priority list or had the resources to work on - stuck in the backlog

• Data Mine Project Mentor

  All Data Mine projects require a mentor from the sponsoring company. The mentor does not have to be a data scientist, but the mentor must be able to support students working on the project.

  • Project Description

    The project description gives an overview of your project. The project description consists of only 3 slides and ultimately helps students select the project that is right for them.

    • Use company-branded slides
    • Slide 1
      • About your company
      • Include company name, location, and brief description of company (pictures are encouraged)
    • Slide 2 & 3
      • One sentence high level project overview
      • Include keywords, specific tools/skills that will be used, preferences for student profile, and citizenship status
    • Project Charter

      While the project description slides assist students in having a high level understanding of your project, the project charter outlines what they are working towards and why it is important in detail.

      • About the company
        • What does your company do?
        • History
      • About the specific department/team the project falls under
        • What is your team's role in relation to the company?
      • About the Mentor
        • Title
        • Summary of job responsibilities
        • Contact
        • Availability
      • Tenative Schedule
        • Please be mindful of holiday and academic calendars.
      • Getting Started (while the specific project goals may change over an academic year, it helps to outline overall goals and milestones)
        • Fall
          • Sprints
          • Typically understanding the data, exploration, conduct research on proposed methodology, etc.
        • Spring
          • Sprints
          • Deployment
          • Outlook for a good stopping point prior to the end of the academic year
      • Expectations
        • It is understood that this project is intended to be a learning experience; there are no guaranteed deliverables, outcomes, or performance. Having said that, outlining expectations for the students enables them to work towards the project goals.
      • Preparations
        • Reviewing Materials
          • What required materials should the students review to understand the project? (Videos, literature, articles, etc.)
        • Tools and Software
          • Identify tools and softwares the students need to know to be successful on this project.
        • Hardware
          • Identify required hardware or computing the students need access to in order to be successful on this project.
      • Legal and Funding
        • Sponsor Acknowledgement
        • NDA
        • IP
        • Funding