The essence of any design is in the interactions it can trigger. We can’t design interactions, instead we design the context for interactions. The context is as important as the quality of the interactions it fosters. The ‘design’ process begins before any actual designing starts and ends after the design ends. Stephanie will explain her four-steps process to create contexts that foster the interactions needed for learning. This process does not only lead to interactions, it is an intrinsically collaborative process that is in itself based on interactions. The power of a project is in its resilience and ability to adapt.

As designers, and those with roles driven by design, the identification and clear understanding of the users’ problem is a basic and critical part of the journey to a new and better solution. But what do we need to better understand our users’ perception or how they make decisions? What does it take to change their behavior? And in particular, how are we able to influence it with design? Using a case from a corporate sustainability initiative, I will explore the design process and the obstacles to consider in order to understand and guide behavior change - in ourselves and in those we are designing for.

​Today, it is unthinkable to approach any product without analysing the data behind. When using data in an interface, however, there is a fine line between being useful and being annoying. I will share our experience in XING B2B of how some design problems can be solved with data. My focus is how, based on user needs, smart data can help enrich the interface in order for the users to be guided through the system more quickly and efficiently.

Globally, hundreds of millions of people suffer from interpersonal violence including child maltreatment or sexual abuse. Reliable information on this is scattered across statistical databases, technical reports, and academic journals. Together with the World Health Organization, we’ve built a platform which combines the existing scientific body of knowledge. This talk shares the learnings from aggregating data from over 3700 scientific studies, spanning 50 years of research, and covering up to 200 countries. It offers advice on how to visualize without bias and how to report without blame.

Yesterday we designed information for paper. Today we design apps for screens. What will we design tomorrow? When we look to tomorrow we see artificial intelligence, drones, self-driving cars, autonomous robots, augmented reality, virtual reality, and more. What we see is a world of artificial bodies, artificial minds, and artificial reality. Collectively we can call these «the artificials». At the heart of this shift is a desire for real experience. This talk will explore three fundamental design problems of the future: the design OF artificials, design FOR artificials, and design WITH artificials. All paths point to a single future: designing artificials.

To be announced.

The talk will cover how knowledge is constructed by both machine learning algorithms and humans. And as such, it will show how a communication based on contextual information can be established. Thus, a short introduction of the famous black box of machine learning will illustrate the way information is processed nowadays. And by using examples from real estate industries, an application of context based communication will serve to explain how this is just mimicking our most natural intuition, and how we can make use of it easily.