In the algoaware project we will apply both design and scientific research principles in order to ensure that the outputs are relevant, accurate and address stakeholder needs throughout the algoaware project. While following those principles, the project team runs several ‘policy analysis cycles’ (i.e. iterations together with key stakeholders to ensure the constant evolution of findings). The methodology also foresees working with a wide range of stakeholders and the collection of data from a wide range of sources to ensure the breadth of the debate is captured. Taken together, it means that processes will be put in place to ensure that deliverables (such as case studies and the state-of-the-art report as explained below) will be kept up-to-date even as new evidence and research emerges.  

Our data capture methods will include several familiarisation and design sprints with a variety of different stakeholders, from industry, academia, and civil society, to scope the research area and to review the findings. We have already conducted two of these sprints at the beginning of the study to scope the research and the deliverables with the European Commission. As you can see in the picture below, the sprints are very interactive and based on the design principles such as understanding stakeholder needs and rapid iteration. Stakeholders were encouraged to share their thoughts and expectations with a view to define common goals and objectives. We are planning to conduct many more of these sprints to scope the case studies and the research in general. If you are interested to get involved in these sprints, feel free to get in touch.