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THE CHALLENGE

How do universities foster innovative problem-solving and cohesive teams in ever-changing environments?

THE SOLUTION

With Design Thinking for Researchers, Skillfluence empowers researchers to address complex challenges through experiential learning by embracing a human-centric, iterative problem-solving methodology while developing social skills that promote cohort building both online and in person.

This programme utilises interactive techniques to increase researchers’ capacity to effectively problem-solve collectively, leveraging the principles of Design Thinking, namely: empathise, define, ideate, prototype, and test, and employs experiential learning to enable participants to apply these five phases to a live project in a safe and supportive environment.

Crucially, this programme places a strong emphasis on the participant’s experience, facilitating the development of social skills that effectively promote cohort building both online and in person. and enabling them to clearly define the actual problems they seek to address, rapidly test their ideas, and improve the likelihood of finding solutions that genuinely meet people’s needs.

SKILLFLUENCE IN ACTION

Collaborating with HEIs including The Data Lab at the University of Edinburgh, the University of Surrey, and The Faraday Institution, Skillfluence’s Design Thinking for Researchers has empowered participants to clearly define the actual problems they seek to address, rapidly test their ideas, and improve the likelihood of finding solutions that genuinely meet people’s needs.

RAPID TEAM BUILDING

Engaging activities delivered in an interactive format facilitate swift team cohesion and collaboration.

EXPERIENCE APPLYING DESIGN THINKING

Applying the Design Thinking approach in a live project using real-world data, enhancing their problem-solving abilities.

A DESIGN THINKING TOOLKIT

Engaging activities delivered in an interactive format facilitate swift team cohesion and collaboration.

A DESIGN THINKING HANDBOOK

Comprehensive handbook to capture participants’ individual learnings, providing a valuable reference resource for future projects.

We learnt a structured way to think about a data problem from a design perspective which has given me a transferable skill that can be applied to many more tasks than I had realised. It was a great exercise on how to communicate ideas, reach conclusions and collaborate with a team of people that you haven’t met before.

Fraser Buchanan, MSc Artificial Intelligence & Applications
The Data Lab, University of Edinburgh

The Results

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"A great mental exercise was to put ourselves in the shoes of the different groups of people, who would benefit from this system and to try and make it as usable, convenient, and clean in terms of design as possible."

Lora Kiosseva,

MSc Advanced Computer Science with Big Data

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