Changes in rural areas, such as depopulation, land abandonment and the loss of biodiversity, may proceed very slowly yet are often irreversible. Policymakers can steer these developments in order to reduce their negative impacts but this requires knowing whether current policy instruments are effective, who is benefiting from them and in what measure, what driving forces will be most influential and how they will affect people, planet, profits and land-use. To be truly useful, this knowledge must transcend siloed thinking and be the corollary of a joint effort uniting different actors under a common cause. PoliRur will provide this knowledge by combining several key activities needed to design effective place-based, human-centric and forward-looking rural policies. These include actionable research that takes place within an inclusive learning environment where rural populations, researchers and policymakers come together to address common problems; an evaluation exercise that uses text mining to assess the perceived effectiveness of past or planned policy interventions; and a foresight study that tries to glean the development trajectory of agriculture and its allied sectors until 2040 using several scenarios in which the evolution of rural populations occupies a central place. As a result of these activities, PoliRur will leave decision makers at different levels of government better equipped to tackle existing and emerging rural challenges, rural populations more empowered and rural areas more resilient.

STARGATEs contribution beyond state-of-the-art in applied climatic data solutions is the implementation of analytics models to support local and regional policy formulation and implementation related to mitigation on microclimate changes. Currently, policy making organizations predominantly utilize own data, typically limited to their own jurisdiction/administrative area. However, once the policy development process expands the evidence base and data sources beyond the traditional approach, there is need for global data. The addition of national, European and even global reference data sets for comparative analysis — including meteorological, climatic analysis, satellite data sources to improve decision making processes. The studies at landscape scale are required to understand leading ecological processes. The focus will be on Climate Smart Agriculture (CSA) and will extensively study the benefits of applying agri-environment-climate technical solutions to achieve sustainable agricultural development at landscape level. It means to support farm management modernization and at the same time get to know the underlying ecological factors that shape the farming landscape. STARGATE will leverage access to this data and also STARGATE climatic platform including developed models platforms to foster easy and affordable adoption by policy making bodies. The simples approach to decision support in policy development is effective visualization of data. Good visualization supports the policy developers’ in modelling sustainable policies and decisions. Unlike algorithmic simulation and modelling, visualization leaves the actual decision and assessment to a human user and thus provides an extra quality assurance before actual policy decisions are made. STARGATE provides innovative components for visualization of big data with a particular emphasis on geospatial visualization and advanced, dynamic charting.