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Auflistung nach Autor:in "Comes, Tina"

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  • Konferenzbeitrag
    ICT solutions supporting collaborative information acquisition, situation assessment and decision making in contemporary environmental management problems: the DIADEM approach
    (Innovations in Sharing Environmental Observations and Information, 2011) Asadi, Sahar; Badica, Costin; Comes, Tina; Conrado, Claudine; Evers, Vanessa; Groen, Frans; Ilie, Sorin; Jensen, Jan Steen; Lilienthal, Achim; Milan, Bianca; Neidhart, Thomas; Nieuwenhuis, Kees; Pashami, Sepideh; Pavlin, Gregor; Pehrsson, Jan; Pinchuk, Rani; Scafes, Mihnea; Schou-Jensen, Leo; Schultmann, Frank; Wijngaards, Niek
    This paper presents a framework of ICT solutions developed in the EU research project DIADEM that supports environmental management for chemical hazards in industrial areas, with an enhanced capacity to assess population exposure and health risks, alert relevant groups and organize efficient response. The emphasis is on advanced solutions which are economically feasible and maximally exploit the existing communication, computing and sensing resources. This approach supports collaborative information acquisition thus enabling efficient situation assessment and decision making in complex environmental management applications. This is achieved through a combination of (i) a service-oriented approach supporting the integration of automated and human-based reasoning for large-scale collaborative sensemaking, (ii) advanced approaches to gas detection and gas distribution modelling, (iii) novel solutions combining Multi-Criteria Decision Analysis and Scenario-Based Reasoning and (iv) enhanced human-machine interfaces. This paper presents the basic principles of the DIADEM solutions and how they are combined to a coherent decision support system and briefly discusses the evaluation principles and activities in the DIADEM project.
  • Zeitschriftenartikel
    Resource Planning in Disaster Response
    (Business & Information Systems Engineering: Vol. 57, No. 4, 2015) Schryen, Guido; Rauchecker, Gerhard; Comes, Tina
    Managing the response to natural, man-made, and technical disasters is becoming increasingly important in the light of climate change, globalization, urbanization, and growing conflicts. Sudden onset disasters are typically characterized by high stakes, time pressure, and uncertain, conflicting or lacking information. Since the planning and management of response is a complex task, decision makers of aid organizations can thus benefit from decision support methods and tools. A key task is the joint allocation of rescue units and the scheduling of incidents under different conditions of collaboration. The authors present an approach to support decision makers who coordinate response units by (a) suggesting mathematical formulations of decision models, (b) providing heuristic solution procedures, and (c) evaluating the heuristics against both current best practice behavior and optimal solutions. The computational experiments show that, for the generated problem instances, (1) current best practice behavior can be improved substantially by our heuristics, (2) the gap between heuristic and optimal solutions is very narrow for instances without collaboration, and (3) the described heuristics are capable of providing solutions for all generated instances in less than a second on a state-of-the-art PC.