Author-tag: Faye Miller

Cultivating epistemic humility in research teams

By Faye Miller.

faye-miller_2025
Faye Miller (biography)

What makes it so challenging for research teams to be truly receptive to being wrong? And what can teams do to make doubt expressible and useful?

Being aware that knowledge is always situational, incomplete, and prone to error, as well as the willingness to hold opinions tentatively, be receptive to change, and recognise the boundaries of understanding, are all components of epistemic humility. Humility about what one knows and can know is an intellectual quality in individual researchers. Yet epistemic humility also has a structural dimension: which doubts get expressed, whose knowledge is heard, and how teams handle what they don’t yet know, are challenges that go beyond the individual researcher to shape how research teams function.

This i2Insights contribution is an attempt to highlight two challenges that need to be addressed:

  • the confidence trap, built on the pressure to exude certainty, and
  • the silence trap, arising from the social dynamics that can suppress productive doubt.

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A framework for navigating the impact of using artificial intelligence on collaborative research communication

By Faye Miller.

faye-miller_2025
Faye Miller (biography)

How can research teams recognise when their use of artificial intelligence is affecting their ability to integrate different knowledge and perspectives? How can they navigate the impact of artificial intelligence on their collaborative processes?

When research teams use artificial intelligence in collaborative work, new complexities emerge, especially subtle shifts in communication patterns that can fundamentally alter how teams integrate different perspectives and knowledge forms. Consider an environmental team relying on artificial intelligence summaries across hydrology, ecology, and policy. They might miss crucial disciplinary nuances, or follow its “evidence-based” recommendations that may clash with community priorities.

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Five capacities for human–artificial intelligence collaboration in transdisciplinary research

By Faye Miller

faye-miller_2025
Faye Miller (biography)

How can transdisciplinary researchers work with artificial intelligence as a genuine collaborator while maintaining integrative thinking? What new capabilities should be developed to ensure that artificial intelligence enhances, rather than fragments or compromises, cross-disciplinary human insights? 

What can trandisciplinary researchers learn from human–artificial intelligence collaboration across disciplines?

Before moving on to capacities, let’s examine the growth in human–artificial intelligence research partnerships to see what lessons can be adapted by transdisciplinary researchers in their work. In particular, I suggest that integrative methodologies can be developed by understanding what is happening within the following domain-specific approaches.

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Facilitating narratives for knowledge co-production: A knowledge broker’s role

By Faye Miller and Jess Melbourne-Thomas

authors_faye-miller_jess-melbourne-thomas
1. Faye Miller (biography)
2. Jess Melbourne-Thomas (biography)

How can knowledge brokers facilitate transdisciplinary knowledge co-production and mobilisation? How can a narrative approach contribute to the knowledge co-creation process?

A knowledge broker often sits between different stakeholders (researchers, end-users, policymakers) to facilitate knowledge co-creation and knowledge mobilisation. Their main role is to make evidence accessible, understandable and useful for knowledge users. As knowledge mobilisation is usually experienced by participants as a personal and social activity, a key starting point for facilitating knowledge co-production with different stakeholders is to develop a narrative approach.

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Navigating paradoxical tensions through both/and thinking

By Faye Miller

author_faye-miller
Faye Miller (biography)

How can the many paradoxical tensions that arise in transdisciplinary projects be effectively navigated?

My recent research into how to produce shared understanding for digital and social innovation identifies three key tenets for navigating paradoxes as an emerging transdisciplinary method:

  1. Identifying paradoxical tensions;
  2. Moving from either/or to both/and thinking; and
  3. Working through paradoxes to workable certainty or negotiated understanding.

Identifying paradoxical tensions

A paradox involves contradictory-yet-interrelated elements that exist simultaneously, which morph, shift and persist over time. Increasing our focus on paradoxes fosters the development of creative and innovative mindsets encouraging transdisciplinary researchers to employ both logic and intuition in their approaches.

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