Public workshops

Warm Data labs

 
 

Warm Data Labs offer a powerful way to delve into the complexities of living systems by focusing on the interrelationships and contextual nuances that shape those systems. By engaging with warm data, participants can gain a more profound understanding of complex challenges and develop more effective responses.

Services

  • Beyond Quantitative Data

  • Interconnectedness

  • Transcontextual Information

  • Multi-Contextual Exploration

  • Generating New Insights

Team

 
 

Warm Data Labs are used when dealing with complex issues where diverse perspectives, uncertainty, and interconnectedness are key. They are particularly helpful when conventional approaches haven't yielded new insights or when there are blind spots in understanding. Warm Data Labs focus on exploring the relationships and patterns within a system rather than breaking it down into parts, emphasising the collective ability to perceive, discuss, and understand complex issues. 

Here's a more detailed look at when to use a Warm Data Lab: 

1. When facing complex and ambiguous situations: 

  • High degree of complexity and uncertainty:

    If the problem is multifaceted and difficult to grasp with traditional methods, a Warm Data Lab can help reveal hidden connections and patterns. 

  • Uncertainty and ambiguity:

    When there's a lack of clear answers or understanding, a Warm Data Lab can facilitate exploration and discovery through shared dialogue and diverse perspectives.

2. When diverse perspectives are crucial: 

  • Multiple perspectives and tensions:

    If there are conflicting viewpoints or a need to understand the issue from various angles, a Warm Data Lab can create a safe space for dialogue and mutual learning.

  • Acknowledging lived experience:

    When it's important to incorporate the perspectives and experiences of those directly affected by the issue, a Warm Data Lab can provide a platform for these voices to be heard.

3. When conventional approaches haven't worked: 

  • Stuck or stagnant situations:

    If conventional problem-solving methods haven't produced desired results, a Warm Data Lab can offer a fresh perspective and potentially unlock new insights. 

  • Blind spots or underlying dynamics:

    When there are hidden dynamics or assumptions preventing progress, a Warm Data Lab can help surface and address these underlying issues.

4. When fostering collective learning and understanding: 

  • Raising the level of questions:

    Warm Data Labs are designed to deepen understanding and encourage participants to ask more insightful questions.

  • Strengthening collective ability:

    The process of a Warm Data Lab helps groups develop their capacity to perceive, discuss, and research complex issues together.

5. When exploring interconnectedness and relationships: 

  • Revealing relationships:

    Warm Data Labs focus on understanding the relationships and patterns within a system, rather than isolating its components.

  • Interdependencies:

    The approach highlights how different parts of a system are connected and influence each other, which is crucial for understanding complex issues like social, ecological, or organisational systems.