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DEMETER - Development of Methodologies and Systems for the Identification of Emerging Food Safety Risks

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Hans Marvin from RIKILT, WUR on DEMETER - Development of Methodologies and Systems for the Identification of Emerging Food Safety Risks.

Joint Workshop on Food Risk Assessment Research & Practice
24th November 2017, Wageningen University & Research, Netherlands

Published in: Food
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DEMETER - Development of Methodologies and Systems for the Identification of Emerging Food Safety Risks

  1. 1. General introduction to project Demeter DEtermination and METrics of Emerging Risks Overall coordinator Dr. Hans Marvin (Wageningen Research RIKILT)
  2. 2. Quick facts  Response to EFSA call ‘Methods and systems for the identification of emerging food risks’  Kick-off meeting: 11 April 2017  Duration: 36 months  Objective: to support current (and future) EFSA procedures for emerging risks identification by providing a set of integrated, open- source solutions that will allow EFSA and EU Member State authorities to share data, knowledge and methods in a rapid and effective manner.  In cooperation with: ● Global consultative stakeholder group ● EREN members 2
  3. 3. Consortium partners 3 Applicant Stichting Wageningen Research • WR-RIKILT • WR-FBR WR Partner 1 Wageningen University, Department of Social Sciences WU Partner 2 University of Newcastle upon Tyne UNEW Partner 3 Federal Institute for Risk Assessment BfR Partner 4 National Food Chain Safety Office NÉBIH
  4. 4. 4 Diagram of Project DEMETER’s five integrated work packages WP1: Data retrieval and validation pipelines [WR-RIKILT] WP2: Methodological resources from social sciences [UNEW] WP3: Platform requirements [UNEW] WP4: Platform Implementation [BfR] WP5:Management& Dissemination [WR-RIKILT] Global consultative stakeholder group Reference panel (EREN members)
  5. 5. WP1: Data retrieval and validation pipelines WP3: Platform requirements WP2: Methodological resources 5 The emerging risks identification framework set in place by EFSA. Modified from Costa et al. (2016)
  6. 6. WP Objectives (1) 1. To create automated data retrieval, data validation and data mining pipelines that provide input to EFSA staff and responsible national stakeholders in their judgements on identification of possible emerging issues. 2. To develop a methodology to systematically integrate information and data from social sciences or derived from social science methodologies, into the emerging risk identification framework. 3. To build on and further develop EREN member state usage of the EFSA emerging risk identification framework currently in place. Current EREN membership is limited, potentially because barriers to utilising the current system are perceived by potential end-users. 6
  7. 7. WP Objectives (2) 4. To facilitate software-technical implementation of the desired collaborative platform (ERKEP) supporting current EFSA procedures for emerging risks identification. Specifically this platform will allow EU Member State authorities and EFSA to share knowledge, data and methods for the identification of emerging food-related risks in a rapid and effective manner. This task is also responsible for providing necessary internal training on the open source KNIME data mining solution that will be used (among others) within WP1 and WP2 5. To ensure proper coordination, integration and execution of the DEMETER activities on all levels regarding project management & financial matters, communication and dissemination. 7
  8. 8. Global consultative stakeholder group (1) 8
  9. 9. Global consultative stakeholder group (2) Member State authorities:  BVL (DE), NVWA (NL), FSA (UK) Institutes with experience in data retrieval/emerging risk identification:  FPDI: FIDES - integration of data to provide a comprehensive, systematic process for monitoring potential food threats and identifying adverse food events (food defense)  AU-DAWR: IBIS – automatically aggregates articles (search engines, research articles, etc.), and links them to specific emerging (plant and animal) biosecurity issues.  FAO: EMPRES – identifies emerging plant and animal diseases through early warning, early reaction and research activities 9
  10. 10. Anticipated outcomes Major deliverables:  “Concept Note” describing the DEMETER vision of a Collaborative Emerging Risk Knowledge Exchange Framework  New tools for automatic data retrieval and validation  Methodology to integrate info and data from social sciences  Development of a Collaborative Emerging Risk Knowledge Exchange Platform (ERKEP) 10
  11. 11. End Thank you!

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