|||

Klijn suggests that some elements of this approach, specifically non-linearity and behaviour that is not dependent on central control, can be found in existing policy theories

Klijn suggests that some elements of this approach, specifically non-linearity and behaviour that is not dependent on central control, can be found in existing policy theories. For example, the garbage can model (from 1972) conceives of organisations as organised anarchies where decisions are made by chaotically mixing problems and solutions together like rubbish in a bin, rather than being the result of a single rational decision-maker. Similarly, Kingdon’s multiple stream analysis (1984) suggests that decisions are made only when three “streams” – policy problems, solutions, and political events – happen to coincide, and when there is a “policy entrepreneur” on hand to take advantage of this. Lindblom’s advice from the late 1950s and early 1960s that, given the uncertainty of the policy environment (or non-linearity), changes are, and should always be, incremental, also seems to be a pragmatic response to some concerns raised by complexity theory. — http://blogs.lse.ac.uk/impactofsocialsciences/2018/10/12/what-are-the-implications-of-complex-systems-thinking-for-policymaking/
Up Next Next → Frequent mention is made in the academic literature to the need to clarify the way that this approach can be put into practice empirically, or as Holmes and Noel put it, move from “systems thinking-talking to systems thinking-action” http://blogs.lse.ac.uk/impactofsocialsciences/2018/10/12/what-are-the-implications-of-complex-systems-thinking-for-policymaking/ ← Previous Perhaps due to the variety of definitions of complex systems, there is a lot of variation amongst the claims made for their application to policy http://blogs.lse.ac.uk/impactofsocialsciences/2018/10/12/what-are-the-implications-of-complex-systems-thinking-for-policymaking/
Latest posts
▵  Elon Musk attempts to explain Twitter to normal people in court
▵  TED and YouTube launch global climate initiative
▵  Embracing multilingualism to enhance complexity sensitive research
▵  The ‘Amazon effect’ is flooding a struggling recycling system with cardboard
▵  John Kerry, Arnold Schwarzenegger wage ‘World War Zero’ on climate change
▵  Combining semantic and term frequency similarities for text clustering
▵  Bad RCS implementations are creating big vulnerabilities, security researchers claim
▵  2019 Tech Trends Report — The Future Today Institute
▵  Medical Crowdsourcing: Harnessing the “Wisdom of the Crowd” to Solve Medical Mysteries
▵  Report Launch - OPSI Primer on AI for the Public Sector
▵  “Level Up”: Leveraging Skill and Engagement to Maximize Player Gameplay
▵  Beautiful is Good and Good is Reputable: Multiple-Attribute Charity Website Evaluation and Initial Perceptions of Reputation Under the Halo Effect
▵  Piret Tõnurist & Systems Change: how to get started and keep going?
▵  IBM expert Tamreem El Tohamy on bridging the skills gap in Africa
▵  The changing work of innovation for public value and social impact
▵  Former Go champion beaten by DeepMind retires after declaring AI invincible
▵  What part of “viral” content makes platforms want to encourage its spread?
▵  MTA floods NYC subway entrance because ‘climate change is real’
▵  The Demon Haunted World
▵  How to recognize AI snake oil
▵  A Systemic View of Research Impact
▵  Nobel Economics Prize Goes to Pioneers in Reducing Poverty
A brief, informal guide to doing grounded theory
▵  Adam Savage on Lists, More Lists, and the Power of Checkboxes
▵  Systems Practice, Abridged
▵  Fukushima reinvents itself with a $2.7 billion bet on renewables
▵  How Tesla’s first Gigafactory is changing Reno, Nevada
▵  “This is Sticking with Them:” Professor Explores Benefits of Model-Based Learning
Keeping the buzz in buzzwords
▵  README.txt: Introducing Into the Dataverse, the article series
▵  A ton of people received text messages overnight that were originally sent on Valentine’s Day