After an online consortium meeting at the beginning of this year, the DECIDE consortium was finally able to meet up for its first in-person general assembly in Zurich, Switzerland. Bringing together around 50 people, the meeting took place from June 7-8, 2022 and was kindly hosted by our project partner ETH Zürich. Project coordinator Gerdien
It has been a while since the DECIDE project team was able to meet fellow scientists and stakeholders in person – but with life picking back up, on-site meetings & conferences did too. Accordingly, members of the DECIDE consortium started to present the project at events in front of real people instead of computer screens.
In a virtual meeting that took place in April, a webinar organised by the COST Action SOUND control (Standardizing Output-based surveillance to control Non-regulated Diseases of cattle in the EU), Gerdien van Schaik (UU) presented the DECIDE project under the title: “The DECIDE project: a data-driven approach for decision support to better manage endemic diseases
12 July 2021 Today marked the Kick-off of DECIDE H2020, which brings together 19 partners from 11 European countries to address non-EU-regulated contagious animal diseases through data-driven control and prioritisation. In the next 5 years, this consortium will aim to tackle a lack of information on the prevalence and burden of these diseases in cattle, pigs,
ISVEE17 | Leipzig, DE
ModAH 2024 | Nantes, FR
IPVS & ESPM 2024 | Leipzig, DE
“Harnessing the power of data – veterinary perspective” | Science Briefing to tackle AMR | Uppsala SE
“Deep mechanistic model: Integrating deep learning and stochastic mechanistic approaches for Bovine Respiratory Diseases diagnosis and epidemiological forecasting” SVEPM | Uppsala SE
“Using data to support day-to-day health management of farmed Atlantic salmon” FSV 2024 | Edinburgh, SCT
“Data to support health management of maricultured salmonids in Scotland” AquaEpi III | New Delhi, IN
“Innovation in Veterinary Medicine – practical approaches to using Big Data” TOPRA Veterinary Medicines Symposium | Portugal, PT
DECIDE workshop on state space models for animal health surveillance | Copenhagen, DK
“GLEAM model and the welfare burden of animal diseases: Exploring sustainability in livestock production” | GBADs & DECIDE Seminar Series, online
European Buiatrics Congress 2023 | Berlin, DE
DECIDE General Assembly | Copenhagen, DK
Green Data Lab Conference 2023 | Oslo, NO
SRA Europe 2023 | Lund, SE
ISSESAH 2023 | Helsinki, FI
The burden of endemic respiratory disease in pigs: developing farm-level tools to monitor pig health and improve disease control | Online Webinar
SVEPM 2023 | Toulouse, FR
EMA Second Veterinary Big Data stakeholder forum | Online
Speakers Prof. Dr. Gerdien van Schaik (UU), and Dr. Miel Hostens (UU).
VPHI Webinar | Online
“Collecting stakeholder perspectives on animal health and welfare: Needs and challenges related to data use analysis visualisations and sharing”, Dr. Angela Bearth (ETHZ)
HAVBRUK 2022 | Bergen, NO
ECPLF 2022 | Vienna, AUT
ISVEE 2022 | Halifax, CA
Presentation “The DECIDE project: from surveillance data to decision support for farmers and veterinarians” by Marloes Boeters (UU).
Annette Boerlage (SRUC) and João Afonso (UoL) will also present at ISVEE 2022.
XXIV JORNADAS DE PORCINO DE LA UAB Y AVPC | Barcelona, ES
Presentation: DECIDE: towards the development of tools that allow better control of endemic diseases by Beatriz Garcia Morante (IRTA)
General Assembly | Zurich, CH
British Pig and Poultry Fair | Warwickshire, UK
ICAHS 2022 | Copenhagen, DK
Precision Livestock Farming workshop | Wageningen, NL
Presentation of DECIDE by Carolina Merca (UCPH)
SOUND control webinar | Virtual
Presentation “The DECIDE project: a data-driven approach for decision support to better manage endemic diseases in cattle, pigs, poultry and salmon” by Gerdien van Schaik (UU).
General Assembly | Virtual
Cluster meeting for livestock-related projects | Virtual Event organised by the European Research Executive Agency
Kick-off meeting | Virtual
The DECIDE project starts!