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Conclusion to the course

This concludes our course on Global Systems Science and Policy. On it you have seen:

  • policy makers defined as including politicians, citizens and other stakeholders

  • examples of global systems

  • how policy depends on prediction, but social systems can be unpredictable

  • how complex systems science can inform policy of possible outcomes

  • how scientists can work with policy makers

  • Global Systems Science is still a research area, and cannot inform all policy questions.

As always we are interested in what you think. Now you have finished the course we will be very pleased if you give your comments below.

If you want to know more about Global Systems Science take a look at the website:

To learn more about the basic science used in Global Systems Science you can study the next course to be given by the UNESCO Complex Systems Digital Campus:

  • New FutureLearn Course on Systems and Complexity

which will be available in the summer of 2016.

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Statement and exam

If you have completed more than 50% of the steps in this course and attempted all assessments, you are eligible to purchase a Statement of Participation. You can check your progress in the course here.

You also have the possibility of taking a formal examination.

We would welcome any feedback about how we could improve the course and would be very grateful if you could spare a few minutes to complete the post-course survey.

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This article is from the free online course:

Global Systems Science and Policy: an Introduction

UNESCO UNITWIN Complex Systems Digital Campus

Course highlights Get a taste of this course before you join:

  • Policy Makers including presidents, directors of NGOs, and citizens
    Policy makers
    article

    In Global Systems Science this article defines policy makers are defined to be politicians, their officers, citizens and other stakeholders.

  • Prediction and the policy dilemma
    Prediction and the policy dilemma
    video

    The Policy Dilemma involves policy makers trying to predict if their policies will work. This article explains why prediction is so hard.

  • Policy design
    Policy design
    video

    In this video Jeffrey Johnson explains that policy, like design, is a coevolution between problem and solution involving compromise and satisficing.