
Cross-disciplinary Leadership Education for Advanced Researchers (CLEAR) Program
CLEAR is the Human-Augmented Analytic Group’s Premier Leadership education Program where PhDs and Post-Docs invited to practice their skills in a live research environment (HAAG). The CLEAR program trains participants in the Management Education for Navigating Transdisciplinary Online Research in Computer Science (MENTOR-CS) proposed by Shi et. al at Democon 25′ (under-review).

What is HAAG?
The Human-Augmented Analytics Group is a virtual research initiative that bridges the gap between computational expertise and research needs.
Online CS Master’s Students
Adult Learners With Professional Experience
New to Research
Big Data Collecting Labs
Need computational talent
Goal: Develop and publish research tools through 3-semester collaborative projects.

The Challenge
Non-computational PIs
non-computational labs can struggle to advise computational projects, lacking the technical expertise to guide students to analyze their data.
Overloaded CS Faculty
Computer science professors, already managing full teaching and research loads, cannot commit time to short-term advising opportunities.
Solution? Early Career Advisors!

Time Commitment: ~5 hours/week
Participate in structured reviews for ongoing student projects
Your Role
Mirror that of a conference or journal reviewer – guide students toward higher-quality submissions
Recognition
Be credited as co-author on the resulting publication
How It Works
Project Matching
You’ll be matched with an interdisciplinary project led by faculty affiliates who will share their research goals.
Training & Goal Setting
Receive training in research project management and develop your own objectives for the project.
Regular Meetings
Meet with students bi-weekly and faculty affiliates monthly to ensure progress toward research goals.
Publication Support
Two weeks before submission, provide additional feedback rounds and virtual meetings as needed.
Frequently Asked Questions
1. How is authorship determined?
Leadership reviews authorship order based on:
- Contribution of ideas that remain in the final work
- Execution of work included in the final submission
Proposed order is shared with all contributors, with opportunity to appeal if needed.
2. How will I know if my feedback is effective?
Our admin team will reach out if there are concerns about review quality. HAAG hosts workshops and shares best practices based on insights across projects.
Join Us Today!
Grow your publication record while gaining valuable advising experience

We’re excited to work with you!
Please don’t hesitate to reach out to our Director of Talent Management (arai91@gatech.edu) with any questions or concerns.