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Project Information

About #ProjectGOLIAT

GOLIAT (5G expOsure, causaL effects, and rIsk perception through citizen engAgemenT) is a research project that aims to characterize and monitor RF-EMF exposure, in particular 5G, provide novel insights into potential causal neuropsychological and biological effects, and understand risk perception and communication through citizen engagement using an integrative and transdisciplinary pan-European approach.

The primary objectives of the project include:

  • Automated Dosimetry: Creating a Python-based framework to automate simulations using the Sim4Life platform.
  • Child Phantom Analysis: Performing simulations on detailed child phantoms, such as "Thelonious" and "Eartha," to understand age-dependent effects.
  • Comprehensive SAR Analysis: Calculating Specific Absorption Rate (SAR) metrics, including whole-body, head, trunk, and peak spatial-average SAR (psSAR10g) in sensitive tissues like the skin, eyes, and brain.
  • Varied Exposure Scenarios: Investigating numerous exposure conditions, including different frequencies, antenna types, and device positions (e.g., by the cheek, in front of the eyes, near the belly).

Check out the GOLIAT website!

Funding and acknowledgements

This work is part of the GOLIAT project, which has received funding from the European Union's Horizon Health program under the call HORIZON-HEALTH-2021-ENVHLTH-02-01 – Exposure to electromagnetic fields (EMF) and health. GOLIAT is part of the CLUE-H consortium with ETAIN, NextGEM and SEAWave.

Check out the CLUE-H website!

Project partners

The GOLIAT consortium consists of 22 partners from across Europe and the United States:

  • Barcelona Institute for Global Health (ISGlobal), ES (Coordinator)
  • Ghent University (UGent) and IMEC, BE (lead subtask 1.5)
  • Telecom Paris (TP), FR
  • Consiglio Nazionale delle Ricerche (CNR), IT
  • Swiss Tropical and Public Health Institute (SwissTPH), CH
  • Nofer Institute of Occupational Medicine (NIOM), PL
  • University of Bristol (UNIVBRIS), UK
  • Università degli Studi di Torino (UNITO), IT
  • Academisch Medisch Centrum (AMC), NL
  • Centre National de la Recherche Scientifique (CNRS), FR
  • National Institute of Industrial Environment and Risks (INERIS), FR
  • University La Sapienza (UNIROMA1), IT
  • University of Bologna (UNIBO), IT
  • National Public Health Center (NPHC), HU
  • University of Pécs (UP), HU
  • University of Exeter Medical School (UNEXE), UK
  • University of Vienna (UNIVIE), AT
  • Science for Change (SfC), ES
  • Norwegian University of Life Sciences (NMBU), NO
  • Massachusetts General Hospital (MGH), US
  • Harvard School of Public Health (HSPH), US
  • University of Michigan (UMich), US

Developer lab

The main developer, Robin Wydaeghe, is from the WAVES Research group at Ghent University and IMEC.

imec ugent waves