The SEKISUI HOUSE KUMA LAB is an educational and research facility establishedby a donation from Sekisui House, Ltd. focusing on the theme of "the future of housing". There arethree main core activities of SEKISUI HOUSE KUMA LAB: International Design Studio, Digital Fabrication Center, and Digital Archive Center. In this article, we will give an overview of the facility, introduce the project that was established at the time of the facility's establishment, which is a manufacturing project using waste materials as its theme, and describe the future development and vision of the new fusion of architecture and digital fabrication.

In this study, we set the agenda with examples of traditional local food and new food technology in order for the public to have a correct knowledge of their food habits. By providing reference information (evidence) when speaking to a discussion, knowledge of the discussion and avoid pointless discussions with wrong assumptions. We have developed a method for structuring and visualizing the reference information of the food debate. For structuring, we designed a task ontology UML to structure the reference information for discussion. Based on the design, Linked Data is represented by Turtle. To visualize the reference information, we used icons to indicate each phase and the type of reference information.

We have developed the QGIS plugin to find an optimal path to support the on-demand trafficservices in Sanyo-Onoda city. Since the plugin can be helpful in assisting in running the service, there is arequest to apply the function for planning a new service area. When they plan a new service area, it isrequired to find an optimal path that could be the longest with registered addresses. The plugin we havedeveloped can find an optimal path, but it does not have a function to do combinational optimization. If they try to find the longest path with the previous plugins, they need to test each combination one by one, which occurs combinational explosion. Therefore, in this research, we had preliminary consideration about a combinational optimization algorithm for assisting in planning a new service area and prototyped the QGIS plugin based on the algorithm.

We aim to support citizen-participatory discussions about public collaboration usingevidence data. There is a suitable dataset on volunteer recruitment collected by Boramimi, a nonprofit organization. Therefore, we analyzed this dataset in order to use the analysis result as an evidence of the discussion. This analysis is based on TF-IDF and information gain in order to use the data in a discussion experiment. We developed a web application for visualizing the analysis results in order to use the data as evidences of opinions in citizen-participatory discussions.