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Het creëren van een smart participatie hub voor het optimaal gebruik van de synergie tussen humane - en artificiële intelligentie ter ondersteuning van beleidsvorming. Hierdoor wordt een effectievere "open beleidsvorming" mogelijk, door het aantal betrokkenen te vergroten, het gebruik van de nieuwste analytische technieken en een flexibele en een iteratieve aanpak bij het bouwen van nieuwe creatieve oplossingen

Negotiation Support System for which I received a (NWO-STW VICI grant) in 2007. With this ongoing project I aim to support human negotiators. Over time various fantastic people have joined the team for some years. With them I study ways to elicit information from negotiation parties about their preference profiles and underlying concerns.

Genius is a negotiation environment that implements an open architecture for heterogeneous negotiating agents. It provides a testbed for negotiating agents that includes a set of negotiation problems for benchmarking agents, a library of negotiation strategies, and analytical tools to evaluate an agent's performance.

You can download the latest Genius here.

Smart M2M Grids the M2M Internet for dynamic M2M Information Business ecosystem. Our contribution in that project focuses on multi-party negotation, where we study protocols, bidding and search heuristics and human-in-the-loop automated negotations.

IQmulus which is a EU project to create a High-volume Fusion and Analysis Platform for Geospatial Point Clouds, Coverages and Volumetric Data Sets. Our contribution focuses on human-computer interaction. We employ value-sensitive design methods and focus group interviews to support the design of IQmulus.

VRAPT- Virtual Reality Aggression Prevention Training is a project to that focuses on building a Virtual Reality therapy system that facilitates treatment. The patients have to interact with avatars in a virtual world. Our role in the project is part of the effort to make the experience real. To increase presence, the avatar has to respond appropriately and fast. This is facilitated by two main components: behaviour recognition and behaviour generation. We focus on behaviour recognition.

Socially Adaptive Electronic Partners (SAEP). The overall aim of this VIDI project of Birna van Riemsdijk is to develop a reasoning framework that combines logic and quantitative techniques for Socially Adaptive Electronic Partners (SAEPs) that adapt their behavior to norms and values of people. This becomes more and more important as technology becomes an integral part of our daily lives.

The starting point of the SHINE research project is simple: better data leads to better understanding leads to better decisions. This holds for both individual citizens and government authorities. For this reason, SHINE develops ICT techniques to collect, process, and visualize data that concerns different aspects of urban life. Heavy rainfall is a good example of this. We collect data from physical sensors, e.g., weather stations that measure rainfall and wind direction.

Shared Mental Models is a project that studies what human and artificial actors should know about each other to get the best experience and task performance. A research questions is, how to formalize that knowledge in what is known as shared mental models. A related question is how to quantifiably measure sharedness and develop agents that work to improve sharedness.

Dog cognition is a topic of research that arose from my passion for dogs and science. When my trainer at De Roedel said he could predict how my dog would perform a task based on paw the dog departed with to perform the task, he sparked the unquenchable thirst to see scientific evidence and to find out more.