Professor Jatinder N D Gupta (University of Alabama in Huntsville, USA)
Title: Rigor and Relevance in Scheduling Research
Abstract: There is a constant debate as to the balance of rigor and relevance in scheduling research. The academicians often claim that the rigor of research is important while the practitioners believe that relevance is more important. In fact, many believe that the gap in the perceptions of the practitioners and the academicians cannot be narrowed. At the same time, others believe that several compatibilities exist between the developments in scheduling (rigor) and their applications to practical situations (relevance).
This presentation is devoted to the discussion of the issues surrounding the rigor and relevance in scheduling research. Starting from the motivation in the early days of scheduling research, the issues related to rigor and relevance are discussed. Possible means to close the gap between the academic scheduling research and the practice in resolving scheduling situations are explored. The presentation concludes with fruitful directions for future research to make theoretical developments in scheduling useful in solving practical problems.
Professor Young-Long Kim (Department of Smart City, Gachon University, South Korea)
Title: Mapping the pulse of the city: Using big data to explore the temporal and spatial dynamics of human mobility
Abstract: The advent of urban big data has enabled significant progress in capturing the trajectory of human mobility in cities. Traditional survey-based methods for quantifying social and economic activities are limited in their ability to capture the total activity level of the population. Efforts to quantify movement through surveying or counting people at a specific point in time provide evidence for specific temporal and spatial contexts but fail to cover entire urban and regional areas over time. To analyze changes in population mobility in everyday life, it is more useful to focus on temporary movement over a short period than permanent population mobility through migration. Therefore, a better data source for the empirical analysis is mobility big data based on cell phone activities rather than census data. This data can also capture nighttime vitality patterns that are often overlooked in daytime patterns. Additionally, comparing differences between regions and seasons can shed light on the definition of nighttime.
Professor Keisuke Fukui (Faculty of Societal Safety Sciences , Kansai University, Japan)
Title: Microsimulation for Cancer Control in Japans
Abstract: In this presentation, we review the cancer microsimulation (MS) model, which has recently attracted much attention in the field of cancer control. The cancer MS model is a simulation model that describes the natural history of cancer by mathematical modeling, and can quantify the effect of cancer control measures by simulation on an individual basis. In this presentation, we will discuss the application of the Cancer MS Model, focusing on the colorectal cancer MS Model developed in Japan.