Trust Across Boundaries

Bridging Minds, Systems, and Societies

Human, Cultural, and Artificial

TRUST is a U.S.-based nonprofit advancing a transdisciplinary science of trust across human and artificial systems.

We bring researchers, technologists, policymakers, educators, and global partners together to understand how trust is formed, how it breaks, and how it can be strengthened — across individuals, cultures, institutions, and intelligent technologies.

Slogan and program names proposed to the Board, 13 Nov 2026

The Moment

Why Trust, Why Now

Societies today face unprecedented challenges to trust — from declining confidence in institutions to rapid transformations in artificial intelligence, global communication, and cross-cultural relationships. Traditional academic disciplines study trust in isolation, yet trust itself transcends psychology, neuroscience, economics, technology, and ethics. TRUST was created to bridge these divides.

Our Mission

From Convening to Communicating

TRUST's mission is to advance a transdisciplinary science of trust across human and artificial systems — connecting research, public dialogue, and emerging scholars.

TRUST aims to conduct research and education on trust

To advance rigorous, evidence-based inquiry across disciplines on trust in human and artificial systems.

TRUST aims to convene international meetings and dialogues

To bring scientists and stakeholders together at major convenings and through TRUST Across Perspectives, an interdisciplinary dialogue series between scientists and stakeholders (pilot proposed for 2027).

TRUST aims to communicate insights to society and policymakers

To translate research into public-facing dialogue, publications, and applied guidance.

TRUST aims to support emerging scholars and global partnerships

To foster fellowships, collaboration, and international research connections (planned).

TRUST TRACE · Provisional collection, 2019–2023 · not yet screened

39 in 100 mapped citations crossed from one research field to another.

The other 61 stayed inside their own field. If citations were matched to fields at random, keeping each field’s share of citing and cited links, about 79 in 100 would cross. These papers cite within their own field more often than chance.

Provisional figure from the 2019–2023 collection of 11,339 records. Counted: 31,751 of 81,570 citations between papers in TRACE. These are the 14% of references that point to another paper in the collection; the rest are not counted. Relevance screening is pending, and a citation alone does not show that research was integrated.

How the figure is calculated · Open TRUST TRACE

Proposed program · for Board discussion, 13 Nov 2026

Evidence, Dialogue, and a Shared Day

One proposed cycle would connect them: a TRACE finding raises a question, a scientist and a stakeholder discuss it, and the outcome reaches readers through the newsletter.

Public trust surveys measure how people trust. TRUST TRACE maps how trust research connects — across disciplines, countries and institutions — and is developing indicators such as a cross-field connection score. These indicators describe research activity, not public trust or research quality.

Research · preview, screening pending

TRUST TRACE

Tracing trust across disciplines: fields, connections and the papers behind them. Explore →

Dialogue · pilot proposed for 2027

TRUST Across Perspectives

A scientist and a stakeholder on one question about trust in AI, moderated by Frank Krueger. The format →

Newsletter · working title · proposed monthly

Trust Science Brief

Each issue looks at trust research from a different angle, alongside that month’s dialogue. Get updates →

Concept · planning target

Trust Across Boundaries Day

An independently organized day on 8 August 2028. The concept →

Vision

Toward a Global Hub for the Science of Trust

TRUST aims to become a global hub for research, education, and dialogue on trust — connecting collaborators across continents through joint work, international convenings, fellowships, and public communication. As the world becomes increasingly interconnected and technologically mediated, we work to ensure that trust remains a source of cooperation, stability, and shared progress.

Our Values

What Guides Our Work

Transdisciplinarity

Integrating science, society, and technology.

Global Inclusivity

Embracing diverse regions, cultures, and perspectives.

Responsible Innovation

Supporting trustworthy AI and human–machine systems.

Scientific Integrity

Rigorous, evidence-based inquiry and transparent reporting.

Clarity

What TRUST Is Not

Setting boundaries is part of being trustworthy ourselves.

  • Not a single-discipline research institute — TRUST is a convening foundation; primary research happens in members' labs and institutions.
  • Not a certification body — TRUST does not certify products, systems, or organizations as “trustworthy.”
  • Not a consultancy — TRUST does not perform paid commercial work; its agenda is set by scientific merit, not by clients.

Leadership

Board of Directors

The Foundation is governed by a Board of Directors of three to nine members serving three-year terms. The current Board has three Directors.

Frank Krueger

Frank Krueger, PhD

President

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Frank Krueger, PhD, is a Professor at George Mason University in Fairfax, Virginia, where he directs the SCI:FI Lab. His research integrates social psychology, behavioral economics, and social and computational neuroscience to study the psychological and neurobiological mechanisms of trust, cooperation, and social cognition. He convened the inaugural T·R·U·S·T meeting in Vienna in 2023.

Lindsey Bertin

Lindsey Bertin

Secretary

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Lindsey Bertin is a doctoral student in the SCI:FI Lab at George Mason University in Fairfax, Virginia, where her research examines the neuroscience of trust and social interaction. She serves as Secretary of the TRUST Foundation, supporting the Board’s governance, records, and member communications.

William G. Kennedy

William G. Kennedy, PhD, Captain, USN(Ret.)

Treasurer

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William G. Kennedy, PhD, Captain, USN(Ret.) is an Associate Professor and Co-Director of the Center for Social Complexity at George Mason University in Fairfax, Virginia. He has been leading Agent-Based Modeling projects in the Center for over 18 years. His areas of interest are in computational social science, cognitive science, and trust.

Get Involved

Join the Global TRUST Network

TRUST connects researchers, policymakers, technologists, regulators, institutions, and civic leaders across continents.

Updates

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