About SPARK

What does it take to move AI research beyond the paper?

SPARK is a Fellow-led forum and community hub. It brings current and alumni Schmidt AI in Science Fellows together to build practical skills, test ideas through small-group projects, and begin working with cross-sector collaborators earlier in the research process.

Our mission

Move AI-enabled science toward responsible, reproducible, and useful outcomes.

SPARK combines a retreat-style forum with a public resource hub supporting research translation, practical skills, cross-sector collaboration, mentorship, and sustained community connection.

The initiative welcomes scientific diversity. It is not centered on one discipline, one AI method, or one career path. Instead, it creates a shared environment in which participants can learn from one another and connect technical research with societal needs.

The public hub is designed to remain useful beyond a single event: preserving selected learning resources and project outputs, sharing community perspectives, and helping Fellows and alumni discover future opportunities and activities.

SPARK Forum

Planning in progress

A Retreat for Responsible Research Translation and Cross-Sector Collaboration

SPARK will bring current and alumni Schmidt AI in Science Fellows together with cross-sector collaborators to explore how research moves into practice—through shared problem framing, emerging AI methods, hands-on skills, small-group projects, mentorship, and reflection.

Location
Ann Arbor, Michigan
Dates
March 7–12, 2027 (tentative)
Status
Program in development

March 7: participant check-in only. March 8–12: main program.

Program arc · Preview

From welcome and connection to work that can continue.

Schedule details remain in development.
  1. Day 1Frame real-world impact
  2. Day 2Explore emerging methods
  3. Day 3Build practical skills
  4. Day 4Prototype together
  5. Day 5Share & continue

The people behind SPARK

Meet the six Fellows and alumni leading the SPARK Forum.

We conceived SPARK and are bringing it to life—shaping the Forum's program, partnerships, participant experience, collaborative projects, and long-term community resources.

Portrait of Xin Wei

Xin Wei

Forum lead and lead content organizer

Schmidt AI in Science Fellow · University of Michigan

AI for geohazards, responsible research translation, and cross-sector collaboration.

Portrait of Shanshan Liu

Shanshan Liu

Content development and logistics

Schmidt AI in Science Fellow · University of Michigan

AI in transportation engineering, event organization, and cross-sector collaboration.

Portrait of Paige Bowling

Paige Bowling

Logistics and participant experience

Schmidt AI in Science Fellow · University of Michigan

Scientific software and method development, event planning, and retreat activities.

Portrait of Christin Salley

Christin Salley

Alumni engagement and workshop design

Schmidt AI in Science Alum · Research Assistant Professor, Virginia Tech

AI ethics and governance, mentorship, and facilitation of multi-stakeholder convenings.

Portrait of Nathan Fox

Nathan Fox

Organizing team member

Schmidt AI in Science Alum · MIDAS AI Scientist, University of Michigan

AI in science community programming and conference and workshop organization.

Portrait of Eliot Miller

Eliot Miller

Collaborative projects and community activities

Schmidt AI in Science Alum · BirdsPlus Index Manager, American Bird Conservancy

AI for biodiversity monitoring, conservation decision support, and community-building.

Meet the full organizing team

Special thanks

This work would not be possible without their support.

We are grateful for the guidance, coordination, and practical help of colleagues across Schmidt Sciences and MIDAS.

AI in Science Fellowship Program at Schmidt Sciences

Michigan Institute for Data & AI in Society (MIDAS) team

Our principles

The commitments guiding the work.

These principles shape both the Forum and the way this hub is developed and maintained.

01

Responsibility from the start

Ethics, participation, accountability, and stakeholder values belong throughout the research lifecycle.

02

Translation through collaboration

Strong pathways to impact are co-designed with the people and institutions involved.

03

Open and reproducible practice

Research outputs should be understandable, maintainable, and shareable whenever possible.

04

Accessible technical depth

People with different backgrounds should be able to contribute meaningfully and continue learning.

05

Relationships that last

Community-building is an essential research capability, not an optional social activity.

Community-led

A hub built with—not merely for—the community.

SPARK is organized by current and alumni Schmidt AI in Science Fellows.

This public hub and website were created by Dr. Xin Wei at MIDAS, University of Michigan as part of the SPARK initiative.

Get involved

There are many ways to contribute.

Share a useful resource, point the community toward an opportunity, suggest an event, or bring a real research-translation challenge.