Back to All Events

Mapping Partner Networks

Learn the essentials of network science to inform meaningful partner network maps. Shape collaborative strategy by identifying gaps, hubs, and opportunities to build new relationships.

Learning Objectives:

  • Understand basic network science concepts such as nodes, ties, and network metrics.

  • Design and interpret a network map of partner relationships.

  • Identify gaps, hubs, and key influencers in a collaborative network.

  • Apply network insights to strengthen communication, equity, and collaboration strategy.

Duration: 3.5 hours

Format: Virtual - Real-time learning with a mix of lecture, discussion, activities & work time.

Date & Time: Monday, November 17, 2025 from 9:00 AM - 12:30 PM Mountain Time

  • Register using the buttons below.

    Registration closes Monday, November 10, 2025.

    Please note: Pre-scheduled, open-registration trainings (for individuals) require a minimum of 8 participants. If fewer than 8 people are registered one week before the training date, the session will be rescheduled. A new date will be set in coordination with those already registered.

  • Varies by group size and discount eligibility.

    Individual Registration: $200

    Group Registration:

    • Up to 15 participants: $2,250

    • 16–30 participants: $3,250

    • Students: 50% off with code STUDENT

    • Nonprofit organizations: 25% off with code NONPROFIT

    • Government organizations: 10% off with code PUBLIC

    • Open Access: 100% off with code FREE. We believe cost shouldn’t be a barrier to building skills for collaboration and community impact. The FREE code is available for individuals or organizations who need financial support to participate in this training. Please use this code if it helps make the training accessible to you.

      If you’re able to cover the full registration cost, we kindly ask that you do so—your payment helps us continue offering quality, accessible trainings for everyone.

Previous
Previous
October 23

Mapping Systems of Influence

Next
Next
December 10

Using Network Data for Strategic Action