GOLIAT: 5G expOsure, causaL effects, and rIsk perception through citizen engAgemenT

尽管无线技术的新应用快速增长，但人们对其对健康的潜在影响知之甚少。特别是，应特别注意最脆弱(即25岁以下的年轻人)和受影响最大(即工人)的人口。Goliat的目标是监测射频电磁场(RF-EMF)暴露，特别是来自5G的暴露，为其潜在的因果健康影响提供新的见解，并了解如何利用公民参与来感知和最好地传达暴露和风险。应用综合和跨学科的泛欧洲方法，我们将：i)开发下一代暴露评估方法，以估计对年轻人全身和组织的RF-EMF累积剂量；ii)确定5G部署产生的新的职业RF-EMF源，并估计工人的RF-EMF暴露水平和模式；iii)使用因果推理评估RF-EMF对年轻人和工作人员的神经心理影响；以及iv)在人群水平上量化暴露的潜在健康影响；v)使用体外、体内、人体和硅学实验评估5G对大脑功能、体温调节和自由基应激的影响；vi)确定减少暴露的有效方法；Vii)更好地了解对射频电动势和5G的风险认知；viii)应用包容性参与模式和共同设计沟通方法/工具，以解决射频电动势的关切和误解；ix)向利益攸关方传播Goliat的成果，并将其纳入政策行动；x)对射频电动势和5G的社会和伦理影响进行更广泛的分析；xi)开发公平的数据基础设施；以及xii)开展与电动势和健康组有关的活动。预期结果将有助于提供强有力的证据，证明(5G)RF-EMF暴露对年轻人和工作人员的潜在影响，并有助于制定预防/减少包括物联网在内的新一代无线电通信网络暴露的指导方针。Goliat是欧洲电磁磁场和健康集群的一部分

Despite the rapid growth in novel applications of wireless technology, comparatively little is known about their potential impacts on health. In particular, special attention should be paid to the most vulnerable (i.e. young people up to 25 years old) and most exposed (i.e. workers) populations. The aims of GOLIAT are to monitor radiofrequency electromagnetic fields (RF-EMF) exposure, particularly from 5G, provide novel insights into its potential causal health effects, and understand how exposures and risks are perceived and best communicated using citizen engagement. Applying an integrative and transdisciplinary pan-European approach, we will i) develop nextgeneration exposure assessment methodsto estimate aggregated RF-EMF dose to the whole-body and organsin young people; ii) identify new occupational RF-EMF sources resulting from 5G deployment and estimate RF-EMF exposure levels and patterns in workers; iii) assess neuropsychological effects of RF-EMF in young people and workers using causal inference, and iv) quantify potential health impacts of exposures at the population level; v) assess effects of 5G on brain function, thermoregulation, and radical stress using in vitro, in vivo, human, and in silico experiments; vi) identify effective means of exposure reduction; vii) better understand risk perceptions to RF-EMF and 5G; viii) apply an inclusive engagement model and co-design communication methods/tools to address RF-EMF concerns and misconceptions; ix) disseminate GOLIAT’s results to stakeholders and integrate them into policy actions; x) implement a broader analysis of the societal and ethical implications of RF-EMF and 5G; xi) develop a FAIR data infrastructure; and xii) perform activities related to the EMF and health cluster. The expected results will serve to deliver robust evidence on the potential effects of (5G) RF-EMF exposure in young people andworkers, and contribute to developing guidelines for exposure prevention/reduction from new generation radio-communication networks including internet of things. GOLIAT is part of the European cluster on EMFs and health