Sponsoring a Data Mine Project

Sponsoring a Data Mine Project

Why sponsor a data mine project?

Through the Data Mine you'd be working with interdisciplinary students for 9 months (compared to 10 weeks in summer)

Competition with big firms - by interacting with students early, they're likely to pursue employment with familiar names. 

See what innovative students can create before putting internal resources on the effort

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

 

 

What's involved with being a 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.

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

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.

  • Sponsor Acknowledgement
  • NDA
  • IP
  • Funding

 

Question About Sponsorship?

Vivian Lallo - Coordinator, Corporate Engagement & Development

vmlallo@ysu.edu