OMINO - Overcoming Multilevel INformation Overload

OMINO - 克服多级信息过载

• 批准号: EP/X040496/1
• 负责人: Ingo Frommholz
• 金额: $ 27.78万
• 依托单位: University of Wolverhampton
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FX040496%2F1
• 关键词: OMINO; Overcoming; Multilevel; INformation; Overload

In today's world, access to information thought of as the resolution of uncertainty; is often considered a benefit or even an indisputable human right. There is, however, the "dark side" of information: the abundance of data beyond one's capacity to process them leads to so-called information overload (IOL). This notion had troubled mankind long before even the print was invented and examined from different points of view, ranging from neuroscience to journalism. IOL is, however, usually considered at the individual level by examining a single factor or a specific level that eventually leads to switching off an active individual. The influence of IOL appearing simultaneously at different levels, i.e., a multilevel information overload is unknown, though. These observations lead to setting the main aim of the OMINO - Overcoming Multilevel INformation Overload project in a form of the following objectives: (1) create and apply means to measure multilevel IOL in different systems as well as methods to model IOL and counter-measures to mitigate this phenomenon, (2) training and knowledge exchange on IOL between partners in different domains using expertise from universities in U.S., Singapore and Japan, (3) intersectoral knowledge transfer between academia and the media industry (Slovenian and Austrian Press Agencies) by exposing researchers to real-life problems and giving business access to innovative methods and tools for information analysis. One of the most important aspects of the undertaken research area is its interdisciplinary nature, requiring joint work of experts in different fields and topics, i.e., social sciences, neuroscience, journalism, computing, data mining and complexity science. OMINO will accelerate the individual careers of involved researchers, especially early-stage ones and increase their employability. The project will lay foundations for long-term collaboration by strengthening existing links between partners and creating new ones.

在当今世界，获取信息被认为是解决不确定性的方法;通常被认为是一种好处，甚至是一项无可争议的人权。然而，信息也有“阴暗面”：大量数据超出了人们的处理能力，导致所谓的信息过载。早在印刷术发明之前，这个概念就已经困扰着人类，并从不同的角度进行了研究，从神经科学到新闻学。然而，IOL通常是在个体水平上考虑的，通过检查最终导致关闭活跃个体的单一因素或特定水平。IOL的影响同时出现在不同水平，即，然而，多级信息过载是未知的。这些观察结果导致OMINO -克服多级信息过载项目的主要目标以以下目标的形式设定：（1）创建和应用测量不同系统中多级IOL的方法以及IOL建模方法和缓解该现象的对策，（2）利用美国大学的专业知识在不同领域的合作伙伴之间进行IOL培训和知识交流，新加坡和日本，（3）学术界和媒体行业（斯洛文尼亚和奥地利新闻社）之间的部门间知识转让，让研究人员接触现实生活中的问题，让企业获得信息分析的创新方法和工具。所进行的研究领域的最重要方面之一是其跨学科性质，需要不同领域和主题的专家共同工作，即，社会科学、神经科学、新闻学、计算、数据挖掘和复杂性科学。OMINO将加速相关研究人员的个人职业生涯，特别是早期阶段的研究人员，并提高他们的就业能力。该项目将通过加强合作伙伴之间的现有联系和建立新的联系，为长期合作奠定基础。

项目成果

Protect our environment from information overload

保护我们的环境免受信息过载的影响

• DOI: 10.1038/s41562-024-01833-8
• 发表时间: 2024
• 期刊: Nature Human Behaviour
• 影响因子: 29.9
• 作者: Hołyst, Janusz A.;Mayr, Philipp;Thelwall, Michael;Frommholz, Ingo;Havlin, Shlomo;Sela, Alon;Kenett, Yoed N.;Helic, Denis;Rehar, Aljoša;Maček, Sebastijan R.
• 通讯作者: Maček, Sebastijan R.

JayBot -- Aiding University Students and Admission with an LLM-based Chatbot

JayBot——利用基于法学硕士的聊天机器人帮助大学生和入学

• DOI: 10.1145/3627508.3638293
• 发表时间: 2024
• 作者: Odede J