Data Risks, Trust, and Technology Survey

I am currently conducting research on the public perception of data risks, user trust, and digital technology.

The main goal is to probe what lay audiences perceive as the main risks in their daily use of data-driven technologies and how much they trust public and private organisations.

Don’t miss out on sharing your input (it is fully anonymised)!

Here is the English version

We also have a Dutch version

And a German version:

Photo by Luke Chesser on Unsplash


Defining Data Literacy and Building Trust – How to Include User-Perspectives

Earlier this month I gave a (remote) presentation at the EuroIA conference on data literacy in the context of user-centric digital media design. Read the abstract below and watch the presentation on YouTube:

Over the past years, experts and the public expressed vocal criticism on current data practices across domains in the digital economy. Striking examples involving big tech companies have illustrated what can go wrong in terms of public trust and data collection, data analysis and the usage of that data. Professionals are aware of the (economic and legal) root causes and started to critically reflect on their own roles in the process. The goal is to learn from the past and change society’s perception of technology for the better. This implies a redefinition of value and striving for more transparency, respect for privacy needs, and a stronger inclusion of the user in data practices (collection, analysis, outcomes) during the design process. This all amounts to an additional layer of ‘engagement’. 

Trust took a toll and needs repair. However, in order to build sustainable and trust-based relationships in the digital society, it is crucial to understand users’ awareness, perception, and evaluation of the technologies that designers offer to them, i.e. their data literacy. Perspectives can vary considerably between professionals and laymen of what the costs and benefits of a data-driven solution actually are.

The main aim of this talk is to provide a definition of data literacy and how organisations and designers, especially information architects, can identify different types of users with specific data information needs. It explains when users care (or don’t care) about data collection and how professionals can engage in dialogues that foster trust through inclusion. It provides a blueprint for inclusive, user-focused data practices. Several current examples (such as “Corona apps”) serve for illustrating both the necessity and value of such an approach to develop sustainable and ethical relationships with the target audience in the long-term. The talk thus offers a toolset for hands-on research strategies on the matter.

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