The monthly Bureau of Labor Statistics Employment Situation Report is widely anticipated by economists, journalists, and politicians as it is used to forecast the economic condition of the United States. The report has broad impact on public and corporate economic confidence; however, the online access to this data employs outdated techniques, using a PDF format containing solely text and fixed tabular information. Creating an interactive interface for dynamic discovery on the BLS website could elicit more dialogue between the public and government spheres, drawing more traffic to government websites and triggering greater civic engagement. Our work suggests that the implementation of interactive visual analysis techniques to enable dynamic discovery leads to rapid interpretation of data as well as provides the means to explore the data for further insights. This paper presents two inspirational prototypes: a dashboard of interactive visualizations and an interactive time series explorer, allowing for temporal and spatial analyses and enabling users to combine data sets to create their own customized visualization.
SciDaSynth: Interactive Structured Data Extraction from Scientific Literature with Large Language Model
Bosch Research North America（博世北美研究院）；Weill Cornell Medicine（威尔康奈尔医学院）；Cornell University（康奈尔大学）；Hong Kong University of Science and Technology（香港科技大学）
Collection Space Navigator: An Interactive Visualization Interface for Multidimensional Datasets
Tallinn University（塔林大学）；School of Digital Technologies, Tallinn University（塔林大学数字技术学院）；Baltic Film, Media and Arts School, Tallinn University（塔林大学波罗的海电影、媒体与艺术学院）；School of Humanities, Tallinn University（塔林大学人文学院）
针对多维数据相关视觉数字工件集合探索分析的挑战，本文提出开源的Collection Space Navigator（CSN）交互式可视化工具，结合二维投影与多维过滤器，支持缩放、投影转换等操作，助力用户探索、整理集合并反馈见解。
