Action IC0903 MOVE (from 11/2009 until 10/2013) had as its first objective to facilitate research collaboration between researchers in disparate disciplines dealing with whole-body movement, thus establishing a network of ICT researchers and domain specialists to enable the development of novel methods for knowledge discovery from moving object data. Secondly, IC0903 was aiming to build capacity and form a new generation of researchers in the domain of the Action, thus achieving sustainability. IC0903 has been very successful in setting up a highly interdisciplinary network in movement research, possibly the largest worldwide. Several break-through algorithms have been developed by members of the Action, a large number of publications generated, and awards received. Various outreach activities took place, e.g. through openly available software and data, through keynote speeches at conferences, public tutorials and short courses, with participants from outside the Action. Regarding the first objective — facilitating research interaction — the most successful instruments were workshops and Short Term Scientific Missions (STSMs). 6 large multi-WG meetings and 13 specialized workshops were held, many including a data challenge, an element found to make workshops particularly focused and productive. A special effort was made to promote STSMs, and ensure that these visits also resulted in lasting collaborations and tangible results. A total of 53 STSMs took place, which were one of the main drivers for the more than 120 joint publications generated. The second objective — capacity building — was met by organizing 5 training schools over three years. The added value of building the IC0903 network continues to show a tremendous effect, with several project proposals on the national and EC level submitted/approved, an increasing number of joint publications, and an increasing number of joint experiments started (with application groups making available their data to ICT groups).

The main objective of the Action was to develop improved methods for knowledge extraction from massive amounts of data regarding moving objects.

This Action aimed to build a network for collaboration that led to the improvement of ICT methods for knowledge extraction from massive amounts of data about moving objects. This knowledge is essential to substantiate decision making in public and private sectors. Moving object data typically include trajectories of concrete objects (e.g. humans, vehicles, animals, and goods), as well as trajectories of abstract concepts (e.g. spreading diseases). While movement records are nowadays generated in huge volumes, methods for extracting useful information are still immature, due to fragmentation of research and lack of comprehensiveness from monodisciplinary approaches. Overcoming these limitations calls for COST-like networking. In response to a strong expression of interest from the academic, industrial, and user communities, this Action empowered the development of substantial and widely applicable methods in mobility analysis, focusing on representation and analysis of movement, including spatio-temporal data mining, and visual analytics. Results have been demonstrated through showcases for decision makers. Researchers from various subdomains in computer and geographic information sciences joined domain specialists from a broad range of relevant applications, from courier services and transportation to ecology, and epidemiology, among others. This made Europe a central stakeholder in an emerging key domain.