Coordination Funds

在过去的几年里，志愿地理信息(VGI)已经成为一种新的用户生成内容形式。VGI涉及主动生成地理数据，例如在公民科学项目中，其形式是通过用户具有定位功能的移动设备被动收集数据。此外，有越来越多的传感器可以更详细、更动态地感知我们的环境。这些信息的解释和可视化是具有挑战性的，因为潜在的多源数据具有很大的异质性，并且需要考虑社会背景因素。德国研究基金会(DFG)发起了一项优先计划“VGI：解释、可视化和社会计算”，该计划支持与这一主题相关的跨学科研究项目。这些新信息源的使用受到基础数据的特定特征的影响，如实时可用性、事件驱动的生成和主观性，所有这些都具有隐含或明确的空间参考。对于信息社会来说，这些数据可以支持各种应用，以解决广泛的社会挑战，例如在环境和灾害管理、保健、交通或公民参与等领域。优先方案旨在为利用VGI和传感器数据的潜力提供科学基础。第一阶段的三个研究支柱已稍作修改，将为第二阶段提供框架，即“VGI的信息检索和分析”、“与VGI有关的地理可视化和用户互动”以及“积极参与、社会背景和隐私意识”。协作研究的潜力尤其在这三个领域的交叉点上显现出来。因此，受资助的项目将涉及上述至少两个研究领域。特别令人感兴趣的是，在VGI的集体收集、处理和使用过程中，社会行为与技术之间的联系。这包括例如考虑不同的获取和使用环境、主观信息的评估以及确保隐私意识数据处理。优先方案内的协作研究成果将通过VGI储存库提供，VGI储存库是一个可持续的公共平台，可获取基准数据、VGI相关软件工具、文件和出版物。

In the past years Volunteered Geographic Information (VGI) has emerged as a novel form of user-generated content. VGI involves active generation of geo-data for example in citizen science projects, in the form of passive collection of data via the user’s location-enabled mobile devices. In addition, there are more and more sensors available that sense our environment with ever greater detail and dynamics. The interpretation and visualisation of such information is challenging because of the large heterogeneity of the underlying multi-source data and the requirement of considering social context factors. The German Research Foundation (DFG) has initiated a Priority Programme „VGI: Interpretation, Visualisation and Social Computing“, which supports interdisciplinary research projects related to this topic.The usage of these new information sources are influenced by the specific characteristics of the underlying data, such as real-time availability, event-driven generation, and subjectivity, all with an implicit or explicit spatial reference. For the information society, these data can support a variety of applications for the solution of a broad number of societal challenges e.g. in the fields of environment and disaster management, health, transport or citizen participation. The priority programme aims to provide a scientific basis for utilising the potential of VGI- and sensor data. The three research pillars of the 1st phase have been slightly modified and will provide the frame for the 2nd phase, namely “Information Retrieval and Analysis of VGI”, “Geovisualisation and user interactions related to VGI” and “Active participation, social context and privacy awareness”. The collaborative research potential especially emerges at the intersection of these three domains. Therefore, funded project will address at least two of the above research domains. Of particular interest is also the link between social behaviour and technology during the collective collection, processing and usage of VGI. This includes e.g. the consideration of different acquisition and usage contexts, the evaluation of subjective information, as well as ensuring privacy aware data processing. Results of the collaborative research within the priority programme will be made available through the VGI-repository the sustainable public platform with access to benchmark data, VGI related software tools, documentations and publications.