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The D4Runoff project has received funding from the European Union’s Horizon Europe research and innovation programme. Grant agreement 101060638. You may find more information about the project at its official website.

Here you will find an organised collection of knowledge about the PoMM made available to the D4Runoff partners and users.

This documentation is provided by KlinK within the scope of the D4Runoff project and is intended to help D4R partners and users in the use and improvement of the policy making module PoMM.

If you already know what to do, you can access the Policy Making Module PoMM.

Otherwise, please keep on reading.

Map of Content

The knowledge base and user's documentation is organized in the following sections.

User Guide

• More about the PoMM and D4Runoff
• Getting Started
• Features Overview
• Workflow of the policy-making experiment

• The Case Study Lab
  • Workflow Guide, Step-by-step instructions
    • Deciding the Experiment Strategy
    • Starting a New Session
    • Restoring Previous Sessions
    • Using Process Templates
  • Customizing scenarios for local conditions
    • Selecting NUTS
    • Selecting NBS
    • Selecting CEC
  • Description processes using BPMN
    • Guidelines for eliciting and documenting of PoMM relevant processes
    • Identifying and tagging critical point

• Simulation with Agent Based Models
• Thesaurus and Controlled Vocabulary (TheVoc)
• The PoMM Ontology
• Tutorials
• FAQ
• Contact support

Case Studies and Applications

• Application to D4R pilot sites
  • PoMM for the Santander D4Runoff pilot
  • PoMM for the Odense D4Runoff pilot
  • PoMM for the Pontedera D4Runoff pilot
• Case Studies Outside D4Runoff
• Case Studies Used for the Templates and Library
• Policy Scenarios
• Library of PoMM Reusable Data
  • BPMN Process Description
  • ABM Models
  • Full Experiments

Technical Documentation

• PoMM System View
  • High-level system architecture
  • Core modules and their interconnections
  • Overall Workflow
• Key Functionalities
  • Knowledge Management Tools
  • Experiment Setting Tools
  • Scenario Simulation Tools
  • Data Integration Mechanisms
  • Decision Analytics And Visualization

• User Roles
  • Permissions and access levels

• Controlled Vocabulary and Thesaurus (TheVoc)
  • The Tematres Technology
    • Users and Permissions
    • Core modules and their interconnections
    • Data Interchange Mechanism and LOD
    • Download, Upload and Backup
    • ...

• The Case Study Lab
  • Connecting with the NUTS database
  • Connecting with the NBS database
  • Connecting with The CEC database
  • Technical info about the BPMN module
  • Technical info about the FCM module
  • Technical info about the ABM module

Theory of Operations

• Scientific Basis of the PoMM approach
  • Decision Support Systems
  • Knowledge Representation
  • Modelling for Policy Making
  • Simulation for Policy Making
  • Terminology and Semantic
• Thesaurus and Vocabulary
  • Underlying models (SKOS, FOAF, ...)
  • Validation and Verification
  • Accuracy and Reliability of Definitions and Relations
  • Limitations, known constraints or areas needing caution
  • References to research papers and studies
• Decision Making Process
  • Underlying models (DMN, CMMN, BPMN, ...)
  • Validation and Verification
  • Accuracy and Reliability of BPMN based Process Elicitation
  • Limitations, known constraints or areas needing caution
  • References to research papers and studies

Bibligraphy

• References
• Data Sources and Other Web Resources

Overview of the PoMM in D4Runoff

The Policy-Making Module (PoMM) is a component of the AI-assisted platform, which is a deliverable of the D4Runoff project.

About D4Runoff

D4Runoff objective is to help preventing and managing pollution from urban water runoff through the design of data-driven hybrid nature based solutions.

The AI-Assisted Platform is a key element of D4Runoff: its core includes a calculation engine and four decision-making modules:

• operational and strategic
• risk assessment
• policy-making (PoMM)
• social engagement

The Policy-Making Module

The Policy-Making Module is developed by KlinK

The objective of the Policy-Making Module (PoMM) is to enable users to analyze the impact of changes in the policies related to the adoption of NBS and hybrid NBS for mitigation of Contaminants of Emerging Concern (CEC) from urban runoff, hence enabling users on both science and policy sides to devise what changes would be more effective.

In order to link the PoMM to real-world applications, this general objective is grounded into three specific objectives that apply to the D4RUNOFF pilots and the foreseen replication cases.

These specific objectives regard enabling decision makers to explore, in a given context, the best ways

• to include NBSs among customary or preferred solutions in spatial planning;
• to include CECs in water monitoring plans;
• to develop a pilot management plan of CECs from urban runoff that includes hybrid NBS solutions.

The PoMM hinges on three pivots:

• knowledge representation,
• mapping the playground of the case under study,
• analysis of the outcomes of modelling and simulations.

Who is the PoMM intended for

The PoMM is specially conceived for decision-makers and policy-makers who are involved (or might be involved) in the formation of policies and rulemaking about the adoption of hNBS for the mitigation of runoff CECs.

Intended users of the PoMM include

• Policymakers-rulemakers at town, province, regional level
• Bureaucratic and administrative agents (includng controlling and permitting bodies)
• Politicians
• Planners
• Scientists

From the PoMM viewpoint, user categories are not linked to the actual role played by a user in real-life (a user can play any any role, real or fictional). Having this in mind, the PoMM is applicable to both actual and potential situations.

Next Step

You may start exploring your PoMM journey from the Getting started section and learning how to map the playground of your case under study, then modelling your policy-making domain, designing your experiments, running simulations and finally analysing of the outcomes of your effort.

Alternatively you may dig in more details about the PoMM tools for knowledge representation, design and theory of operation, hints for advanced use, bibliography and references.

When you're ready, just reach the Case Study Lab and start with modelling and experimenting your policy interventions of interest

• to include (h)NBSs among the recommended/preferred solutions,
• to include CECs in monitoring plans
• to develop a pilot CECs management plan with hybrid NBS solution in your unit of analysis (your experimentation theatre)

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