The six projects result from two recent calls. Two projects will be funded in the areas of Humanities and Social Sciences. Project leaders Dr. Loro Aroyo and Prof. Piek Vossen will each receive funding to the value of 125K euro. Four more projects will receive funding to the value of 500K euro to address challenges in climate research, eChemistry and green genetics. NLeSC funds projects by the direct provision of cash and the in kind provision of eScience Research Engineers.
The six selected projects include the following:
This project provides a basis for interpretation support in searching and browsing of heritage objects, where semantic information from existing collections plus open linked data vocabularies are linking collection objects to the events, people, locations and concepts that are depicted or associated with those objects. An innovative interface paradigm allows for browsing this network of data in an intuitive fashion supporting both digital humanities scholars and general audiences in their online explorations.
This project aims to develop a tool that visualizes subjectivity, perspective and uncertainty to make them controllable variables in Humanities research. The tool should allow users to compare information from different sources representing alternative perspectives and visualize subjectivity and uncertainty. Such a visualization enables improved and comprehensive source criticism, provides new directions of research and strengthens the methodology of digital humanities.
Ongoing world-wide climate change and urbanization illustrate the need to understand urban hydrometeorology and its consequences for human thermal comfort and water management.
Limited availability of long-term geographical and hydrometeorological observations and limited computational capacity for urban scale simulations have so far hampered answering related scientific research questions. This project will develop an urban hydrometeorological archive that combines all available, rich and heterogeneous observations with multi-scale atmospheric and hydrological model results. The challenge is to make the data in the archive meaningful, insightful and useful for scientists, local-scale urban planners, policy makers, (local) companies and individual citizens.
Many new protein targets have been discovered recently and it has been shown that clinical efficacy is often the result of polypharmacologicalaction of drug molecules, i.e. the interaction with more than one protein target. Efficient exploitation of chemical and biological information is hampered however, because a good approach to efficiently integrate large volumes of heterogeneous data from different disciplines is still missing. The data needs to be properly integrated in order to extract useful information that is manageable and applicable in various life science disciplines. This project will develop technologies to improve the integration of ligand and protein data for structure-based prediction of protein-ligand selectivity and polypharmacology.
This project concerns the construction and efficient execution of computational chemistry work flows. This allows computational chemists to use the emerging massively parallel computing environments in an easy manner and focus on interpretation of scientific data rather than on tedious job submission procedures and manual data processing. This makes entirely new approaches possible in which a single researcher can model and analyze thousands of compounds with high-level quantum chemistry methods. This yields a wealth of detailed data (molecular structures, transition states, charge distributions, electronic excitation energies) to rationally design solar cells, reduce solvent losses in organic synthesis, tune catalysts, or develop better LEDs, to name just a few applications. The project goal will be realized by bringing concepts from distributed computing (efficient parallelization in heterogeneous environments) and bioinformatics (data management and workflow construction) to the field of computational chemistry.