5  Module 3: Governance and Leadership Models (40 minutes)

Facilitator: Jake Chen, Functional Genomics (CM4AI)

5.1 Content Block (10 minutes)

(Narrative Arc: A Maze, a Map, and the Guides)

5.1.1 Context: Navigating the Layers of Management (3 minutes)

  • Hook: In a single-lab environment, you usually have one boss (the PI) and a straight line to decision-making. In a massive consortium like Bridge2AI, that straight line becomes a maze.

  • Reality: We need to visualize the vertical depth of these projects. Decisions pass through multiple layers: from the working group to the steering committee, to the program officials, and finally to the funding agency (NIH).

Goal: Not everyone has to become an administrator. We are sharing this knowledge so scientists don’t waste weeks waiting for a decision from the wrong person. At all times, we need to know who holds the keys.

5.1.2 Theory: Overview of Models (5 minutes)

Models: Introduce the spectrum of governance, ranging from traditional to experimental.

  • Traditional Hierarchy: Clear chain of command (efficient, but can bottleneck).

  • Distributed Leadership: Authority spread by expertise (agile, but requires high trust).

  • Network Governance: Hub-and-spoke models, common in large data consortia.

Governance Models

Resource: For those who want to dig deeper into the sociology of these structures, we have included key references in your workshop booklet (e.g., Pearce & Conger on Shared Leadership).

5.1.3 Reality Check: Agency vs. Awareness (2 minutes)

A word of caution: We don’t always get to choose one of these models. When we join a massive project like Bridge2AI, the governance structure is likely already set in stone (maybe!).

Lesson: We cannot always negotiate the macro-structure (the Consortium), but we can often influence the micro-structure (our specific working group). Your goal is to understand the rules of the game so you can play it effectively, not necessarily to rewrite the rulebook.

5.2 Activity 3: Fishbowl Fireside Chat (30 minutes)

  • Format: To illustrate what this looks like in the real world, we are moving into a ‘Fishbowl’ format.

    • Setup: Chairs arranged in the center. One chair is left intentionally empty to encourage audience rotation/participation.

  • Moderator: Introduce Dr. Jake Chen, who will guide the conversation, ensuring we probe the tension between structure and innovation.

  • Keynote Lead: Introduce Dr. Casey Greene.

    • Why him? Casey represents a modern approach to scientific leadership—open, decentralized, and highly effective. We want to hear how he leads without stifling creativity.

  • Institutional Context: Introduce the Bridge2AI representatives (Pamela Foster, Colleen Cuddy, Yulia Levites Strekalova, and Jamie Toghranegar).

    • Role: They represent the connective tissue of the consortium—the people who ensure the disparate parts actually talk to one another.

Objective: We will watch them discuss how decisions actually get made. Pay attention to how they balance the need for control (to keep the project safe) with the need for freedom (to let the science happen).