Mentor a Challenge Team
Penn State faculty and industry subject-matter experts have the unique opportunity to serve as mentors to Nittany AI Challenge teams. Mentors need not be AI experts to participate; they just need the time and the desire to help. Participating teams can benefit from support in both technical and non-technical areas including project management, team dynamics, and presentation design. Additionally, subject-matter experts in fields aligned with the AI for Good pillars of education, environment, health, and humanitarianism can help guide teams’ solutions and navigate the complex data landscape.
Time commitment will vary depending on individual team needs and success within the Challenge. As general guidance, mentors should plan to meet with their respective team(s) at least twice prior to each submission deadline.
If you are interested in mentoring students on their AI journey through the Challenge, you can complete a profile in the Nittany AI Challenge Team Tool, which is the tool that helps students form and find teams for the Challenge. Once you are a mentor in the Team Tool, teams can find you and request your mentorship, or you can browse the teams and connect with them to offer your mentorship.
Nittany AI Challenge Team Tool
My team started this competition with an idea but thanks to the support from this competition we have been able to turn our idea into a technology that can create a better future for others. We are here because you gave us the platform to innovate and create something out of an idea, so on behalf of my team, I want to say thank you to the whole Nittany AI Alliance team for this competition.
Share Nittany AI News
Help spread the word about the Nittany AI Alliance across Penn State campuses, colleges, and departments. The Alliance is most successful when a broad spectrum of individuals, skills, and areas of expertise are represented in our challenges and events. Some easy ways to advocate for us include:
- following us on social media @PSUNittanyAI, or sharing our content via social media channels using #NittanyAI
- talking with classes or student clubs and organizations about involvement with our programs
- emailing students, colleagues, or friends about opportunities
- offering course credit or extra credit for participation in Nittany AI Inspire or the Nittany AI Challenge
- encouraging students to leverage the Challenge for capstone projects
- facilitating Nittany AI leadership presentations to student groups
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