Merger ballot results of eligible EBEA members

On the 16th of July at midnight, the merger ballot was closed.

67 of the 114 (58.8 %) eligible EBEA members (full members that paid their membership in 2017/2018) casted their vote.

Members had to answer 2 questions:

First question: Do you agree that EBEA and BEMS merge into a new society?

Second question: Whatever your answer to question 2, please indicate which option you would prefer should the majority vote be in favour of a merger

The results are as follow:

Eligible Voters %
Double members 76 49 64.47
Ebea members only 38 18 47.37
Tot Members 114 67 58.77


Merge No Merge No Pref Tot Merge* Tot No Merge* % Merge % no merge
Double members 43 5 1 44 6 89.80 12.24
Ebea members only 15 2 1 16 3 88.89 16.67
Tot Members 58 7 2 60 9 89.55 13.43
* no preference is added to both “merge” and “no merge”
OPT1 OPT2 No pref Tot Opt1* Tot Opt2* % Opt 1 % Opt 2
Double members 35 10 5 40 15 81.63 30.61
Ebea members only 8 7 3 11 10 61.11 55.56
Tot Members 43 17 8 51 25 76.12 37.31
* no preference is added to both “option 1” and “option 2”

By “agree to merge” it is meant the commitment of EBEA to set up a new Society to which both societies will be merged in due time, and to resolve all details of a merger such as name, location, statutes, finances etc.

It would culminate in a second and decisive ballot in both Societies on dissolution by merger into the new Society once these details have been resolved. The final ballot would need a two-third majority, according to the Statutes.

The EBEA council and the EBEA members of the merging committee will further discuss the position of EBEA and next steps. We will inform you on our further decisions.

With my best regards,

Luc Martens

EBEA President

Arno Thielens is the winner of the 2019 Alessandro Chiabrera award

EBEA is proud and honoured to announce that Arno Thielens (UC Berkeley, Berkeley, CA, USA) is the winner of the 2019 edition of the Alessandro Chiabrera award.
This prize has the main purpose to foster excellence in the Bioelectromagnetics community by giving recognition to outstanding scientific contributions from early stage researchers, and to keep alive Prof. Chiabrera’s memory and scientific legacy.
The nominations were evaluated and selected by a committee composed by the EBEA Past-President; EBEA treasurer and by the last four winners of the Chiabrera Award, the EBEA Council gave the final approval.

Arno gave a lecture entitled: “Personal RF Exposure Assessment in Current and Future Telecommunication Networks” during the joint annual meeting of the American Bioelectromagnetics Society and the European Bioelectromagnetics Association, BioEM2019: June 25, 2019 • 10:00 – 11:00, Einstein, Corum, Montpellier, France.


Radio-Frequency (RF) electromagnetic fields (EMFs) enable wireless communication between billions of users worldwide. Humans are exposed to these fields, but quantifying this exposure has proven to be challenging. There exist methods for measuring personal exposure to RF-EMFs emitted by far-field sources, but these are faced with uncertainties. This talk will present some techniques to reduce these measurement uncertainties and further improvements that could be made in the future, alongside measurements of exposure to near-field RF-EMF sources. These research efforts should improve our understanding of personal exposure to RF EMFs in the current telecommunication networks. However, future networks will use new technologies. Three of those are studied in terms of RF-EMF exposure: distributed small-cell networks, (massive) MiMo antennas, and higher carrier frequencies.

Congratulations Arno!

Luc Martens, EBEA President

Special Issue on Applied Statistics and EMF Dosimetry – Call for papers

Special Issue on “Machine Learning, Stochastic Modelling and Applied Statistics for EMF Exposure Assessment” [Intl J Env Res Public Health (IF 2.145)]

It is open for contributions the Special Issue “Machine Learning, Stochastic Modelling and Applied Statistics for EMF Exposure Assessment” on the Intl J Env Res Public Health (JCR IF: 2.145).
(Guest Editors: Gabriella Tognola, Emma Chiaramello, Masao Taki, Joe Wiart).

Topics: The Special Issue is open to scientific studies addressing the use of applied statistics, machine learning, and stochastic dosimetry for EMF exposure assessment. It is dedicated to works in any frequency area, from static fields up to exposures in the THz region, dealing with exposure assessment, dosimetry, hazard identification, and characterization, risk assessment.
Keywords: EMF exposure assessment; Machine learning; Stochastic dosimetry; Applied statistics; Environmental health

Deadline for manuscript submission: 29 Feb 2020.
Details here: