--- _id: '5675' abstract: - lang: eng text: When responding to natural disasters, professional relief units are often supported by many volunteers which are not affiliated to humanitarian organizations. The effective coordination of these volunteers is crucial to leverage their capabilities and to avoid conflicts with professional relief units. In this paper, we empirically identify key requirements that professional relief units pose on this coordination. Based on these requirements, we suggest a decision model. We computationally solve a real-world instance of the model and empirically validate the computed solution in interviews with practitioners. Our results show that the suggested model allows for solving volunteer coordination tasks of realistic size near-optimally within short time, with the determined solution being well accepted by practitioners. We also describe in this article how the suggested decision support model is integrated in the volunteer coordination system which we develop in joint cooperation with a disaster management authority and a software development company. author: - first_name: Gerhard full_name: Rauchecker, Gerhard last_name: Rauchecker - first_name: Guido full_name: Schryen, Guido id: '72850' last_name: Schryen citation: ama: 'Rauchecker G, Schryen G. Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief. In: Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management. ; 2018.' apa: Rauchecker, G., & Schryen, G. (2018). Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief. In Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management. Rochester, NY, USA. bibtex: '@inproceedings{Rauchecker_Schryen_2018, title={Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief}, booktitle={Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management}, author={Rauchecker, Gerhard and Schryen, Guido}, year={2018} }' chicago: Rauchecker, Gerhard, and Guido Schryen. “Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief.” In Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management, 2018. ieee: G. Rauchecker and G. Schryen, “Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief,” in Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management, Rochester, NY, USA, 2018. mla: Rauchecker, Gerhard, and Guido Schryen. “Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief.” Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management, 2018. short: 'G. Rauchecker, G. Schryen, in: Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management, 2018.' conference: location: Rochester, NY, USA name: 15th International Conference on Information Systems for Crisis Response and Management date_created: 2018-11-14T15:35:54Z date_updated: 2022-01-06T07:02:28Z ddc: - '000' department: - _id: '277' extern: '1' file: - access_level: open_access content_type: application/pdf creator: hsiemes date_created: 2018-12-07T11:25:06Z date_updated: 2018-12-13T15:05:44Z file_id: '6020' file_name: 2018_ISCRAM_Conference_Proceedings - Publication Version.pdf file_size: 488472 relation: main_file file_date_updated: 2018-12-13T15:05:44Z has_accepted_license: '1' keyword: - Coordination of spontaneous volunteers - volunteer coordination system - decision support - scheduling optimization model - linear programming language: - iso: eng oa: '1' publication: Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management status: public title: Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief type: conference user_id: '61579' year: '2018' ...