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The ESPON Scientific Platform

This overview explores the various aspects of the ESPON Scientific Platform, covering topics such as the use of regional data, the limitations and solutions for regional data analysis, modeling techniques for territorial research, and prospective thinking for policy making. It also discusses the importance of scientific peer review in advancing knowledge.

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The ESPON Scientific Platform

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  1. Data, tools and scientific innovation The ESPON Scientific Platform Moritz Lennert - IGEAT - ULB

  2. Overview Expressionism or realism: Using regional data The vast treasures of the ESPON Database Limits to regional data: MAUP and disrupted time series Possible solution for the future: Long-Term Database and cartographic techniques From data to messages: policy indicators Do It Yourself: ESPON tools for everyone ESPON DB and Data Navigator WebGIS HyperAtlas Experiments in vitro: Modelling techniques for territorial research Models to analyse the current situation Models to simulate and forecast the future A general model for territorial impact assessment Looking ahead: Prospective thinking Friendly discussions: Scientific peer review in ESPON ?

  3. Expressionism or realism: Using regional dataThe vast treasures of the ESPON Database • covers 29 countries 29 countries !!!

  4. Expressionism or realism: Using regional dataLimits to regional data: Disrupted time series and MAUP 1) Time series interrupted by change in data and region definitions 2) Modifiable Area Unit Problem: Results of spatial analyses depend on definition of studied units An illustration of MAUP: the variation of Urban-Rural Typology at different levels of territorial aggregation (NUTS 2 and NUTS 3) (Project 3.4.3 Proposals: • new hierarchies of territorial division for research and strategic policy making • development of interactive and dynamic cartographic methods • development of multiscalar methods of analysis

  5. Expressionism or realism: Using regional dataPossible solution for the future I: Long-Term Database Hierarchy of geographic entities, names Definitions of basic stock indicators (population, area, GDP) Definitions and formulas of complex indicators (pop. density, GDP/cap) The actual data Expert system for choice of estimation method Collection of estimation methods for missing data

  6. Expressionism or realism: Using regional dataPossible solution for the future II: Innovative cartography

  7. Expressionism or realism: Using regional dataFrom data to messages: policy indicators

  8. Do It Yourself: ESPON tools for everyoneESPON DB and Data Navigator

  9. Do It Yourself: ESPON tools for everyoneHyperAtlas and WebGIS • ESPON HyperAtlas: Innovative multiscalar cartography on your desktop • ESPON WebGis: Mapping the ESPON database online

  10. Experiments in vitro: Modelling techniques for territorial researchModels to analyse the state of the system • Used for the analysis of the situation of the modelled system in the present or past • Mostly pre-existing models, adapted to the specific needs of ESPON research • Most models concern transport theme: accessibility, flows, pollution, infrastructures, etc • Provide complex indicators • Examples: ICON index, various accessibility measures, logistic model of IT diffusal, etc.

  11. Experiments in vitro: Modelling techniques for territorial researchModels to simulate and forecast the future • deal with the future, based on different assumptions => forecast and impact assessment • Existing models used: SASI, CGEurope, STIMA, CAPRI, etc • Some ESPON babies: • MAcro-economic, Sectoral, Social and Territorial (MASST) model • Know Trans-European Networks (KTEN/K10) • Demographic Cohort-Survial model • RESSET (accessibility and economic development)

  12. Experiments in vitro: Modelling techniques for territorial researchA general model for territorial impact assessment Multicriteria Model with two main layers: 1) General assessment GA = Σc θc . PIMc c = criterion θc = weight PIM = general impact 2) Territorial assessment TIMr = Σc θc . Sr,c . (PIMc . PIr ). Par r = region Sr,c = sensitivity of region r to criterion c PI = policy intensity PA = policy applicability

  13. Looking ahead: Prospective thinking • Policy making = future-oriented => Applied scientific results have to respond to this need • Territorial development = very long-term • Much of what will happen is out of reach for « classical » (quantitative) scientific methods • ESPON provides prospective thinking in the form of the scenarios • Thinking beyond the verifiable and imagining the possible in scientifically informed creative prospective research • Permanent process depending on policy goals and general evolutions

  14. Friendly discussions: Scientific peer review in ESPON ? • If we want evidenced-based policy, we need solid evidence • Knowledge grows through controversial discussion • ESPON seminars always very polite:

  15. Friendly discussions: Scientific peer review in ESPON ? • We just had the first experience of « peer review » in ESPON • Can be a frustrating experience for all sides • Sometimes it feels like this:

  16. Friendly discussions: Scientific peer review in ESPON ? • But it advances everyone's knowledge • So, let's dare some more controversy: • Have a great seminar !

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