OMINO - Overcoming Multilevel INformation Overload

在当今世界，获取信息被认为是不确定性的解决方案；通常被认为是一种福利，甚至是一项无可争辩的人权。然而，信息也有“阴暗面”：大量的数据超出了人们的处理能力，导致了所谓的信息过载（IOL）。早在印刷术发明之前，这种观念就已经困扰着人类，并从从神经科学到新闻学的不同角度进行了研究。然而，人工晶状体通常是在个体水平上考虑的，通过检查单个因素或特定水平，最终导致活跃个体的关闭。然而，人工晶状体同时出现在不同水平的影响，即多水平的信息过载是未知的。这些观察结果导致将西非监测行动- -克服多层次信息超载项目的主要目标确定为以下目标：(1)创建和应用不同系统中多层人工晶状体的测量方法，以及模拟人工晶状体的方法和缓解这一现象的对策；(2)利用美国、新加坡和日本大学的专业知识，在不同领域的合作伙伴之间进行人工晶状体的培训和知识交流；(3)学术界和媒体行业（斯洛文尼亚和奥地利通讯社）之间的跨部门知识转移，让研究人员接触现实生活中的问题，并为企业提供信息分析的创新方法和工具。所承担的研究领域最重要的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将加速参与研究人员的个人职业生涯，特别是早期研究人员，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并建立新的联系，为长期合作奠定基础。

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.