The AI Explorers Program is an international research and mentorship initiative created to support high‑potential pre‑doctoral students who aspire to pursue PhD studies in Artificial Intelligence. Designed and led by experts from the University of Michigan and global AI institutions, this program provides a structured pathway for emerging researchers to gain the skills, experience, and scholarly output required to become competitive applicants for top-tier doctoral programs worldwide.
This article provides a detailed, broad, and SEO‑optimized overview of the program, its mission, structure, expectations, and opportunities for both mentees and mentors.
Program Overview
Mission
The AI Explorers Program is built around a clear mission: To equip talented pre‑doctoral students with the research experience, mentorship, and academic preparation needed to gain admission into leading PhD programs in AI across the globe.
The program achieves this by:
- Connecting emerging researchers with world‑class mentors in Artificial Intelligence
- Providing structured research training and academic development
- Offering a collaborative, international environment that nurtures innovation and scholarly growth
- Supporting participants through the graduate school application process
Program Timeline
The AI Explorers Program spans 6–9 months, during which participants engage in:
- Sustained, mentored research
- Graduate school preparation
- Professional development activities
This timeline is intentionally designed to allow participants to develop technical depth, produce meaningful research output, and build a strong academic profile.
Expected Outputs
Participants are expected to complete two major deliverables:
1. Research Output
A submission‑ready research paper suitable for:
- A workshop
- A conference
- A journal (depending on the field and scope of the project)
2. Graduate School Application Package
Participants will develop:
- A Statement of Purpose (SOP)
- A Curriculum Vitae (CV)
- A Research Statement
These materials are crafted with mentor guidance to strengthen the participant’s competitiveness for PhD admissions.
Program Structure
The AI Explorers Program is built on consistent, high-quality mentorship and community engagement. Its structure includes:
1. Weekly Mentor Meetings
Participants meet with their assigned mentors to:
- Discuss research progress
- Receive technical guidance
- Refine methodologies
- Plan next steps
2. Monthly Cohort Meetings
These meetings allow participants to:
- Present research updates
- Receive peer feedback
- Engage in collaborative discussions
- Build a supportive research community
3. Monthly or Bimonthly ACL Mentorship Sessions
These sessions focus on:
- Research skills
- Academic writing
- Career pathways in AI
- Graduate admissions strategies
Program Outcomes
By the end of the program, participants will have:
- Completed a research project under expert mentorship
- Produced a submission‑ready research paper
- Developed a polished graduate school application package
- Gained exposure to global AI research communities
- Strengthened their academic and professional profile
The AI Explorers Program ultimately aims to expand access to advanced study in AI and cultivate the next generation of AI researchers.
How to Get Involved
Mentee Application
Prospective mentees can apply through the program’s official application portal.
Mentor Application
Experienced researchers and professionals in AI are invited to join as mentors.
Partnership and Fundraising
Organizations and individuals interested in supporting the program can explore partnership opportunities.
Program Organizers
The AI Explorers Program is led by distinguished AI researchers:
- Rada Mihalcea – Director, Michigan Artificial Intelligence Lab; Janice M. Jenkins Collegiate Professor of Computer Science and Engineering
- Zhijing Jin – Assistant Professor, University of Toronto; Research Scientist, Max Planck Institute; CIFAR AI Chair; ELLIS Advisor
- Angana Borah – PhD Candidate, Michigan Artificial Intelligence Lab
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