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  1. <div class="container has-fixed-header">
  2. <!--<h1 class="pl-2">Rural Attractiveness Explorer</h1>
  3. <h2 class="pl-2">Regional attractiveness of Polirural Pilot Regions based on system Dynamics models</h2>
  4. <div class="pl-2">
  5. <h3>SDM &ndash; DIH integration bridge</h3>
  6. <p>This page provides some showcase ideas about visualization of SDM model outputs in various points in time.
  7. SDM is a System Dynamics Model developed as a part of the Polirural project. <a href="hub.polirural.eu">DIH</a> is
  8. a Digital Innovation Hub developed as another part of the Polirural project.
  9. Regional attractiveness is one of the tools present in the DIH.</p>
  10. </div>
  11. <div class="pl-2">
  12. <h3>About System Dynamics Modelling</h3>
  13. <p>The SDM tool can be used to simulate the impacts of different policy approaches on various KPIs in the PoliRural
  14. pilot regions through 2040. The outputs of this tool are highly interesting and relevant for decision-making and
  15. planning activities.
  16. </p>
  17. <p></p>
  18. </div>
  19. <div class="pl-2">
  20. <h3>About Regional Attractiveness</h3>
  21. <p>Attractiveness can be seen from the perspective of a farmer, a young man or woman, a businessman or a
  22. sociologist. As there is no singular perception of attractiveness, there cannot be a singular value representing
  23. it. In the Index of regional attractiveness, we emphasize the attractiveness of a region as a compound and
  24. relative value. Based on available statistical data about a region, each region is then assessed by several
  25. factors. In this showcase we differentiate social, anthropic, natural and economic factor.</p>
  26. <p></p>
  27. </div>-->
  28. <h2 class="my-5">
  29. Exploring New Tools to Support Regional Foresight Initiatives
  30. </h2>
  31. <div class="row mt-4 p-4">
  32. <p>
  33. From 2020 to 2022, twelve Regional Foresight exercises in the EU and neighbouring countries, provided a living
  34. laboratory for exploring the use of novel tools and techniques in highly participative approaches to local policy
  35. co-design, led by teams at regional and sub-regional level. To this end POLIRURAL teams designed and developed
  36. novel IT systems intended to support and enrich stakeholder engagement in those 12 regional Foresight exercises.
  37. </p>
  38. <a class="btn" [routerLink]="['rural-attractiveness-explorer', 'comparing-rural-attractiveness']">Skip directly to
  39. the Rural Attractiveness Explorer</a>
  40. </div>
  41. <div class="row mt-4">
  42. <div class="col-8 p-5 bg-light">
  43. <p>
  44. One of those systems employed a wide range of Text Mining and Machine learning techniques to support the work of
  45. readers and researchers tasked with discovering relevant information in large libraries of documents, with a
  46. view to reducing the burden of work required of local leadership teams to provide stakeholders with short,
  47. relevant, and timely texts on complex issues that affect their region, and which may require a policy response.
  48. This tool is called the <a href="https://semex.io/" target="_blank" rel="noopener">SEMANTIC EXPLORER (SE)</a>.
  49. </p>
  50. </div>
  51. <div class="col-4 p-3">
  52. <div class="card shadow">
  53. <img class="card-image-top" src="assets/fig/ill-text-mining.jpeg" />
  54. </div>
  55. </div>
  56. </div>
  57. <div class="row mt-4">
  58. <div class="col-4">
  59. <div class="card shadow">
  60. <img class="card-image-top" src="assets/fig/ill-sdm.png" />
  61. </div>
  62. </div>
  63. <div class="col-8 p-5 bg-light">
  64. <p>
  65. </p>
  66. <p>
  67. Our biggest effort was devoted to the use of System Dynamic Modelling or SDM, in a tool allowing normal citizens
  68. to explore the impact of different policy options on regional KPIs or indicators of performance. This tool is
  69. called the <a routerLink="/policy-options-explorer">POLICY OPTIONS EXPLORER (POE)</a>.
  70. </p>
  71. </div>
  72. </div>
  73. <div class="row mt-4">
  74. <div class="col-8 p-5 bg-light">
  75. <p>
  76. Our third tool is the <a routerLink="/rural-attractiveness-explorer/about">RURAL ATTRACTIVENESS EXPLORER
  77. (RAE)</a>. It connects the POE to a composite Index of Rural Attractiveness (RAI), allowing users to see how
  78. different policy choices will play out over time in terms of their impact on the Index of Rural Attractiveness.
  79. </p>
  80. </div>
  81. <div class="col-4">
  82. <div class="card shadow">
  83. <img class="card-image-top" src="assets/fig/ill-rae.png" />
  84. </div>
  85. </div>
  86. </div>
  87. <div class="row mt-4 p-4">
  88. <p>
  89. An important aspect of all of this work was to better understand how one can help non-experts, as opposed to
  90. professional economists, statisticians, and modellers, to better understand how the world is changing, how the
  91. challenge of growth and development is evolving, and the range of available real-world policy options, with the
  92. intention of being able to take part in a meaningful and impactful local policy process.
  93. </p>
  94. </div>
  95. <div class="row mt-4 p-4">
  96. <p>
  97. To find out more, the reader is invited to follow the links to our pages on
  98. </p>
  99. <nav>
  100. <ul>
  101. <li>
  102. <a routerLink="/regional-foresight" routerLinkActive="active" ariaCurrentWhenActive="page">
  103. Regional foresight
  104. </a>
  105. </li>
  106. <li>
  107. <a routerLink="/text-mining" routerLinkActive="active" ariaCurrentWhenActive="page">
  108. Text Mining applied to Regional Foresight
  109. </a>
  110. </li>
  111. <li>
  112. <a routerLink="/system-dynamics" routerLinkActive="active" ariaCurrentWhenActive="page">
  113. System Dynamic Modelling
  114. </a>
  115. </li>
  116. </ul>
  117. </nav>
  118. </div>
  119. </div>