Information design for data-driven decision making

Public and private organizations utilize established methods for structuring and making strategic and operational decisions. Several analytical frameworks describe these decision-making processes within frameworks developed in economics, psychology, systems analysis and behavioural sciences. Several studies have also explored the rational boundaries of human decision-making and the effect of biases on decisions and on interpretation of probabilistic outcomes. A growing literature also addresses the issue of noise vs. signal - or the data rich/information poor syndrome - and explores the relationship between decision “quality” and information availability in the face of a delusion of data that could support decisions and policies.
Parallel to these domains, information design has received a major emphasis in the recent past, with the development of tools, methods and frameworks for conveying information in an effective, unbiased, useful way. A growing number of decision situations are now complemented by graphics, real-time presentation of analytical data, visual exploration of models and insights.


This project focuses on the structuring and design of information for decision making in the context of massive availability of data. It explores the link between decision processes, data analytics (through data exploration, data modelling, predictive analytics) and visualizations, in particular for time-space domains. Areas of interest include: human decision making and information, large scale automatic decision systems, information biases and decision behaviour, real-time human system actuation.

Relevant questions include:


1.    How does individual and collective decision making change upon the availability of real-time, large scale, predictive information on collective human behaviour on the scale of a city or even larger area?
2.    How do we structure decision processes in a situation of data abundance instead of data scarcity?
3.    Which information designs, visualizations or presentations affect the perception of large-scale time-space information and its utility?
4.    How does information design support decision structuring and collaboration between stakeholders?
5.    Which areas are affected most: operational or strategic decision making?