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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