Governance of complexity in systems thinking. A multidisciplinary heuristic approach

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Transcription:

Governance of complexity in systems thinking A multidisciplinary heuristic approach Professor Brian Collins CB, FREng Professor of Engineering Policy UCL

Agenda Complexity Science Systems thinking Governance Synthesis Case studies Discussion Provocation

Complexity Science The definition of complexity science is still very much open to debate (Bristol Centre for Complexity Science) To some, complexity science is merely the study of branches of different sciences, each with its own examples of complex systems Others argue that there is a single natural phenomenon called complexity, which is found in a variety of systems, and which can be the subject of a single scientific theory or approach.

Innovation in Systems Thinking Integration of infrastructure and construction design Innovation at the interface Balancing costs and benefits, risks and uncertainties Human and environmental impact Safety, behaviour, congestion, community Noise, air quality, pollution, carbon Information integration Data from all sources over a range of timescales Systemic models to enable predictions to support decision making through whole life cycle and throughout the supply network Professional bodies can act as convenors for the debate on how to define systems and then manage and engineer change Information and collaboration are the new assets available to facilitate change

Governance Governance is the act of governing. It relates to decisions that define expectations, grant power, or verify performance. It consists of either a separate process or part of management or leadership processes. These processes and systems are typically administered by a government. A reasonable or rational purpose of governance might aim to assure, (sometimes on behalf of others) that an organization produces a worthwhile pattern of good results while avoiding an undesirable pattern of bad circumstances. Source - wikepedia

Synthesis The act of combining or adding parts to make a unified whole The ambition of strengthening networks of policies by building strong alliances among key stakeholders The activity of contributing policy recommendations that incorporate stakeholder perspectives on the integration of policies more effective collaboration and cooperation

The holistic, integrated, vision of cities Weather Land and water PEOPLE Demographics Data

Bio Fuel cycle PEOPLE ENERGY LAND PROCESS REGULATION ENVIRONMENT ECONOMICS SYSTEM

Initial System of Systems Representation for GB Railways REGULATION EU ECONOMICS Treasury ENERGY Ground Water Tsunami Heat Wind Eruption Precipitation Earthquake Flood Drought 3 rd Rail OLE Electricity Lighting Fuel Oil Energy Core Cities Propulsion Asset Management Vehicles PTE s LA TfL PEOPLE Passenger Info Ops Telecoms Despatch Drivers Guards Control Permanent Way SYSTEM NIA Scot Parl WAG Access to Depots Other On-Board Crew Control Centres Maintenance UkGov DfT Signalling UK Supply Chain Int Supply Chain Depots Transport Scotland ORR PROCESS Maintenance Break-Fix Routine Heavy Franchising Subsidy TOCS Freight Ticketing Adjacent Land Management RoSCos Financial Markets Passengers Ownership Interaction with other land uses Capital Funding Operational Funding Returns Interaction with other Infrastructures ENVIRONMENT Civil Mechanical Electrical Telecoms Alternative Travel Modes Groundwork Structures Bridges Embankments Cuttings Level Crossings LAND

A challenge to the status quo Complex packages of policies are avoided because impact is more difficult to assess as is attribution of successful governance. Multi factoral evaluation of benefits are difficult so too many stakeholders are to be avoided Financial models for different infrastructure sectors are different, so the risk of integration is hard to evaluate. The overhead of collaboration is not seen to add value because single stakeholder benefit assessments are used

The opportunities Use new systems thinking approaches combined with complexity science to support the evaluation of integrated investment and governance. Examine different governance models for their degree of integration and what aspects of their degree of integration and complexity produce a significant contribution to the delivery of benefits and mitigation of risks Identify key factors needed in a managed change programme to improve outcomes by better governance where appropriate Understand where the convening power is for sets of communities and facilitate their activities

Thank you