# Mentor Training to enhance mentorship in an interdisciplinary training program

> **NIH NIH T32** · UNIVERSITY OF CALIFORNIA-IRVINE · 2021 · $86,373

## Abstract

Project Summary
Effective mentoring relationships influence student professional development by shaping both the
training experience and students’ perspectives on their field. Yet few of those involved in the
training of graduate students receive formal training in how to mentor. We herein propose a series
of mentor training activities tailored to the faculty in our T32 training program in Mathematical,
Computational and Systems Biology. Workshop sessions will be adapted from the Entering
Mentoring curriculum developed by the Center for the Improvement of Mentored Experiences in
Research (https://cimerproject.org/). In addition, we will use interactive, small group sessions and
invited speakers to reinforce key concepts and foster mentor-mentor support and peer mentoring
among our program faculty. We will also use the Strength Deployment Inventory assessment, a
tool to identify mentor personality and leadership strengths and motivations, to help provide
mentors with strategies for engaging with diverse mentees. Opportunities for sustaining these
activities beyond an initial year are also discussed in the proposal. Over the long run, we believe
these changes will help improve the mentee experience and enhance student retention.

## Key facts

- **NIH application ID:** 10393853
- **Project number:** 3T32GM136624-02S1
- **Recipient organization:** UNIVERSITY OF CALIFORNIA-IRVINE
- **Principal Investigator:** Arthur D Lander
- **Activity code:** T32 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $86,373
- **Award type:** 3
- **Project period:** 2020-07-01 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10393853

## Citation

> US National Institutes of Health, RePORTER application 10393853, Mentor Training to enhance mentorship in an interdisciplinary training program (3T32GM136624-02S1). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10393853. Licensed CC0.

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