In particular, GIQ focuses on how policies affect government information flows and the availability of government information; the use of technology to create and provide innovative government services; the impact of information technology on the relationship between the governed and those governing; and the increasing significance of ...

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《政府信息季刊》是一本国际期刊，研究政策、信息技术、政府和公众之间的交集。 特别是，GIQ 关注政策如何影响政府 信息流 和政府信息的可用性；利用技术创造和提供创新的政府服务；信息技术对被统治者和统治者之间关系的影响；以及信息政策和信息技术在民主实践中日益重要的意义。 作为该领域的领先期刊，《政府信息季刊》致力于发表高质量的学术研究、观点文章和社论，为研究人员和从业者提供有关政策、信息技术、政府和公众之间关系的信息。 信息技术、政府 …

Leveraging cutting-edge Cesium ion technology, the gIQ system seamlessly integrates with industry-leading mapping services such as the ESRI basemap service and the openstreetmap service. The backend infrastructure is built upon a sophisticated technology stack, predominantly relying on open-source technologies to ensure scalability, reliability ...

《Government Information Quarterly》是一本由Elsevier出版商出版的专业管理学期刊，该刊创刊于1984年，刊期4 issues/year，该刊已被国际权威数据库SCIE、SSCI收录。 在中科院最新升级版分区表中，该刊分区信息为大类学科：管理学1区，小类学科：图书情报与档案管理 1区；在JCR（Journal Citation Reports）分区等级为Q1。 该刊发文范围涵盖INFORMATION SCIENCE & LIBRARY SCIENCE等领域，旨在及时、准确、全面地报道国内外INFORMATION SCIENCE & …

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GiQ is a data analytics platform that combines versatile tools to streamline data exploration and transform your data into actionable insights. Discover dependencies, find patterns, and visualize insights. Effortlessly prepare and enrich large unstructured datasets for graph analysis. Learn how customers use GiQ to solve their data challenges.

The gIQ Exploration View feature is an integral component of the gIQ GIS product, designed to provide users with a comprehensive platform for visualizing diverse datasets. Its primary purpose is to offer users the capability to explore and examine different layers within the gIQ system.

Leverage GiQ Studio to automatically generate graph structures, identify non-obvious data correlations, and improve decision-making. Analyze large datasets with neural graphs to let your team easily see what's behind the raw data.

2024年9月23日 · Recent developments in AI call for new ways of thinking about both “data" and how conclusions are “driven” by data in government, and how to transform culture, skills, leadership, and data infrastructures to take advantage of the new technologies for creating public value in the most ethical, secure, and transparent manner.