Published: Friday, 01 February 2019 08:00
Stakeholder engagement is now recognized as an essential ingredient in the governance of radiological risk. But how is stakeholder engagement achieved? Whom should it include and why? How can it inform radiation protection practices and decision making? This workshop provides an opportunity to discuss these and related questions, with the aim of stimulating more effective and democratic governance of radiological risks. Three fields will be examined in detail: medical exposures to ionizing radiation, post-accident exposures, and exposure to indoor radon.
• To share findings from the ENGAGE project;
• To collect feedback on recommendations for enhanced stakeholder participation in the abovementioned fields
We are pleased to announce that the first announcement is now available for download : download the first announcement. You will find information on the workshop format, registration and accommodation.
To register online, please use the following link:
Published: Friday, 01 February 2019 08:00
Process-based models have existed for nearly two decades, but are still rarely used in emergency planning. This workshop will bring together modellers, scientists and importantly end-users to discuss advances in foodchain transfer with an emphasis on process-based soil-plant transfer models. One aim of the workshop will be to investigate the potential adoption of process-based models by end-users and also identify future research priorities for human foodchain modelling."
The workshop will start at lunchtime on the 9th and finish at 17:00 on the 10th September.
Please note participant numbers will be limited to 45
Registration will open in March 2019 and a draft agenda will be available by 1st April 2019. Details will be available from https://radioecology-exchange.org/content/workshops
Published: Thursday, 31 January 2019 08:04
The 16th issue of the NERIS Newsletter is now available.
This edition provides some feedbacks from recent events, information on European projects and announcement of upcomings events such as RICOMET 2019, ERPW 2019, and European Projects final Workshops.
Published: Wednesday, 31 October 2018 08:00
Use of uncertain information by decision makers at the various levels within the decision making process and its communication.
Guides and recommendations for the decision making in the post release and transition phase taking into account uncertain information will be presented and tested. Attendees will debate how to interpret, use and communicate uncertainties within the decision making process. The course and practical sessions/workshops will also consider the: establishment and optimisation of remediation strategies; benefits of stakeholder involvement; inclusion of human behaviour, cultural differences and stakeholder preferences as a part of the tools to aid decision making. Training the trainers and facilitators of national, regional and local workshops based on learning from doing and own engagement and experience during the training course is one of the goals of the training.
While there is no registration fee, training course participation is limited to a maximum of 24 participants. Pre-registerers are accepted for final registration. and registration is required by filling the online registration form.
Priority will be given to participants from E.U. countries working in the domain of nuclear or radiological emergency and recovery management.
- Registration: January 31, 2019
- Training course: May 13-15, 2019
Please download the second announcement of the training course with this link.
Published: Tuesday, 17 July 2018 08:00
Modelling and measurement training course, 23 April – 3 May 2019, Roskilde Denmark
The training course on “Assessment of long-term radiological risks from environmental releases: modelling and measurements”,23 April – 3 May 2019, Roskilde, Denmark is organised by the Center for Nuclear Technologies at the Technical University of Denmark (DTU) in cooperation with PDC-ARGOS. The training course is co-funded by the European Joint Programme for the Integration of Radiation Protection Research CONCERT.
The course is aimed at providing the participants with an understanding of how to assess by measurements and modelling the long-term radiological risks from releases to the environment of radionuclides. Nuclear power plant accidents will particularly be in focus, but RDD’s will be considered.
The course builds on decades of international research work, e.g., in European projects such as ECP-4, STRATEGY, EURANOS, NERIS TP and PREPARE, including unique experience from extensive practical investigations in contaminated areas and laboratory assessments. It comprises a hands-on introduction to laboratory measurement techniques including state-of-the-art radiochemistry methods for determination of radionuclides that can not easily be determined. It also includes a hands-on decision support modelling session using a state-of-the-art computerised decision support system for nuclear and radiological emergency management.
The course will provide insight into:
- Assessment of long-term radiological risks from releases to the environment
- Theoretical principles of dosimetry
- Implications of different contamination scenario types
- Migration of radioactive contaminants in different types of environment
- Modelling internal dose and specific factors influencing ingestion dose
- Modelling external dose in contaminated inhabited areas
- Decision support systems for accident management
- Important concepts in sampling and gamma spectrometry
- Radiochemical analysis for radionuclides that are difficult to measure
- Rapid radiochemistry techniques for multiple samples
Registration: Deadline on 15th of January 2019. Limited to 12 participants
The targeted audience is PhD students and young scientists / advisors. The course will give students 2.5 ECTS points.
There is no registration fee. Participants are expected to cover their own travel and subsistence costs (e.g., meals, hotel, visa if needed)
Please donwload the first announcement of the training course with this link.