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aWISH Project Presented on DECIDE Animal Disease Surveillance Cluster Event

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aWISH Project Presented on DECIDE Animal Disease Surveillance Cluster Event
ILVO Hosts Professor Marina von Keyserlingk to Explore aWISH’s Groundbreaking Research on PLF and AI
How Can we Measure Animal Welfare in Pig Farming?
aWISH | 5th Newsletter
Join Us for the Broiler Pre-Slaughter Phase Workshop | April 4, 2025

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1. aWISH Introduction

We would like to invite you to participate in the aWISH Expert Panel, as we believe that your experience and knowledge will contribute greatly to a key consultation body of the project. aWISH is a 4-year project funded by the European Union under the Horizon Europe Research and Innovation programme. Before you decide to participate in the aWISH Expert Panel, please take the time to read this document carefully to understand what your involvement will be in our project’s activity. If there is anything you do not understand, please feel free to ask questions.

1.1 What is the aWISH project about?

In the EU, a challenge that still remains is to reconcile the social and moral demand for a high level of animal welfare with other pillars of sustainable livestock production. Indeed, 82% of Europeans believe that farm animals should be better protected than they currently are. A broad definition of animal welfare refers to the feelings and physical well-being of an individual animal. Broilers and pigs are the farm animals EU citizens care most about, and they are also the most important meat-producing animals in the EU and worldwide. Both pigs and broilers have significant welfare problems at all stages of production (on-farm, loading and transport, unloading and slaughter), leading a growing number of citizens to question the social license to produce. Ambitious and effective, but also practical and efficient solutions are needed. This is where the aWISH project comes in to fill this gap! The aim of aWISH is to develop and provide a cost-effective solution for assessing and improving the welfare of meat-producing livestock in Europe. The aWISH solution is based on the automatic monitoring of animal-related indicators at slaughter. The necessary technologies will also be developed to collect complementary data on farm or during transport. Pilot and development activities will be carried out in 6 broiler and fattening pig production chains across Europe using a lean multi-actor approach to test and validate the project results. A catalogue of animal welfare indicators will disseminate all validated indicators and standardised data collection methods. Best practice guides will be developed to improve key aspects of animal welfare in pigs and broilers and to help external stakeholders use aWISH technologies and tools. In this context, the aWISH project will set up expert panels that will be composed of representatives of actors from the entire farm to fork value chain across the EU. The expert panels will have the function to retrieve and share feedback on technology, processes, farming practices, industry, sector regulation and markets, as well as society and perceptions. In this way, stakeholder participation in expert panels could help initiate interdisciplinary dialogue, promote interaction with target groups and associations, and strengthen trust between different actors.

2. Useful Information

2.1 Is my participation voluntary and what does it involve?

Your participation in the aWISH project is entirely voluntary. If you decide to participate in an aWISH activity, we will ask you to sign an Informed Consent Form to collect and process your data. The project will last 48 months, but you will only participate for as long as you wish.

2.2 Purpose of personal data collection

As mentioned above, the expert panel will have the function to retrieve and share feedback on technology, processes, farming practices, industry, sector regulation and markets, as well as society and perceptions. In order to do this effectively, we need to process some of your personal data:

Your contact information
Demographic information (age, gender, country of origin)
Professional information (where do you work, what position do you hold, what is your area of expertise)
Personal opinions on the subject

2.3 What we will do with your data

The information you provide is confidential. Your consent form will be kept separate from the observations collected during the course of the project activity. We will share your data with other aWISH project partners involved in the data analysis and reporting process. Once the data is analysed, a report of the findings may be submitted for publication. The project's deliverables that will be derived by this activity will not include your personal data or any other information that could identify you. The results of this project activity may also be shared with representatives of the European Union (e.g. the Project Officer evaluating the project's or the reviewing EU agencies). Only broad trends will be reported and it will not be possible to identify any individuals.

3. Access, deletion of information or withdrawal of consent

Under the EU’s General Data Protection Regulation (GDPR), you have the right to request to: (i) provide you with a copy of your data; (ii) correct your data if you believe they are inaccurate; (iii) erase your data; (iv) restrict or stop processing your data; or (v) provide your data in an appropriate format and transfer them to another organisation. In addition, you may withdraw your consent and therefore your participation at any time without consequence. Anonymous data already collected will be used as we cannot trace the information back to you. No further data will be collected or other procedures carried out in relation to your information. If you wish to have the personal data we hold checked, amended, corrected or deleted, or if you wish to withdraw your consent, you can contact the responsible partner listed below.

4. Contact Information

Partner name: WHITE RESEARCH SRL

e-mail: akyriakidis@white-research.eu

Website: www.awish-project.eu

5. Informed Consent Form

First Name

Surname

Username

E-mail Address

Password

Confirm Password

Position

Organisation Name

Type of Stakeholder

Expertise in which species:

PigsBroilers

Both

Reference Identifier

Country

Choose Expert Panel Category

Please select any other expert panel category you would like to apply for

Livestock sectorIndustry & Retail

Government & NGOsResearch

Scientific expertise in pig and/or poultry welfare

YesNo

If yes, please specify:

Other relevant experience and expertise:

Scientific expertise in farm animal behaviour (in particular pig and/or poultry)

YesNo

If yes, please specify:

Other relevant experience and expertise:

Scientific expertise in animal production, transport and slaughter (main focus: fattening pig/broiler)

YesNo

If yes, please specify:

Other relevant experience and expertise:

Scientific experience in Precision Livestock Farming (automatic monitoring systems)

YesNo

If yes, please specify:

Other relevant experience and expertise:

Veterinary expertise/knowledge of pig and/or poultry

YesNo

If yes, please specify:

Other relevant experience and expertise:

Practical experience in Precision Livestock Farming (automatic monitoring systems):

YesNo

If yes, please specify:

Other relevant experience and expertise:

Practical experience in pig and/or poultry production on farm, in animal transport or slaughter

YesNo

If yes, please specify:

Other relevant experience and expertise:

Expertise in animal welfare/behaviour/production/PLF

YesNo

If yes, please specify:

Other relevant experience and expertise:

Knowledge of EU/national (welfare) legislation

YesNo

If yes, please specify:

Knowledge of agriculture policy and economics, labelling, sustainability, animal rights etc.

YesNo

If yes, please specify:

Other relevant experience and expertise:

Experience in or link to pig and poultry sector

YesNo

If yes, please specify:

Other relevant experience and expertise:

Practical knowledge/expertise of new technologies such as precision farming, use of sensors, data infrastructure and data analytics to monitor animals and their environment, consumer behaviour etc.

YesNo

If yes, please specify:

Other relevant experience and expertise:

Knowledge of meating processing steps

YesNo

If yes, please specify:

Other relevant experience and expertise:

Knowledge of English:

No proficiencyElementary proficiency

Limited working proficiencyProfessional working proficiency

Native / Bilingual proficiency

I confirm that I understand that by ticking each box below I am consenting to this element of the study. I understand that it will be assumed that unticked boxes mean that I DO NOT consent to that part of the study. I also understand that by not giving consent for any of the elements, I may be deemed ineligible for participating in this project’s activity.

I confirm that I have been given an explanation of the purpose of the project’s activities. I have read and understood the Information Sheet which I was provided with or listened to an explanation about the project by a project partner.I have had an opportunity to consider what kind of information will be expected of me. I have also had the opportunity to ask questions and clarifications about the requested information which have been answered to my satisfaction.

I agree to provide my name, role and name of the organisation I belong to the project consortium partners and I understand that my contact details will not be made public or shared with external partners.I agree to appear in pictures/videos that might be taken during project activities as evidence of any activity itself and as promotional material for the aWISH project. I understand that these pictures will not be provided to any organisation for commercial purposes. However, they may be processed by third parties as a consequence of their dissemination at international level through the project’s social media and website. I understand that the consortium has no control over the images after dissemination.

I agree that my anonymised research data may be used by others for future research (I will not be identifiable when this data is shared). I understand that my participation is voluntary and I am free to withdraw at any time without giving a reason, and that any data after the time of which it is withdrawn will be no longer included as part of any future reports, unless I agree.I understand that my personal data will be held and processed in confidence and in accordance with the principles laid out by GDPR.

I am aware of whom I should contact if I wish to lodge a complaint. aWISH Expert Panel Manager: White Research SRL Contact Person: Anastasios Tsakas Phone: +32 2 520 00 09 E-mail: atsakas@white-research.eu Project website: www.awish-project.euI confirm that I have read and understood the above information and freely consent to participate in activities of the project. I have been given adequate time to consider my participation.

6. Declaration of Acceptance

I, the undersigned

acknowledge that I have read and agree to be bound by the aWISH Expert Panel Terms of Reference. I agree to participate in the aWISH Expert Panel in my individual capacity and, as such, may not assign or be substituted for any other person to perform the work without prior written agreement with the aWISH Expert Panel Consortium. I agree not to disclose any information given in the course of the Expert Panel’s work unless the aWISH Consortium agrees to releases me from this obligation, and to respects the confidentiality requirements. I declare that I fully and unconditionally accept my appointment as an aWISH Expert Panel member as described in the Terms of Reference. I agree that any contribution I make as an aWISH Expert Panel member may be used by the aWISH consortium for reporting purposes or to align project activities to the needs of relevant stakeholders. I consent to the processing of my personal data necessary for my participation in the aWISH Expert Panel.

Place and Country

Date

Only fill in if you are not human

Welcome to the awISH Project website

Before we dig in we would like to know a little more about you. Group that describes you the best is:

Group that best describes me is: