Agent-Based Modelling for the Social Scientist -
A Practical Guide to Model Building and NetLogo
8th-11th June 2015, Centre for Research in Social Simulation, School of Social Science, University of Surrey, Guildford, UK
Computational methods have revolutionised the sciences, including the social sciences. By being able to investigate dynamics in silico, model complex, interdependent systems and experiment with different hypotheses, computer modelling has become a research tool as important as the survey.
This course will guide you through the research process of agent-based modelling in the social sciences: formulating a research question, specifying a model, creating a simulation and interpreting the output. During the course you will be helped to build a model using NetLogo, acquiring basic and intermediate programming skills.
The syllabus includes:
• conceptualising agent-based models
• operationalising and calibrating from data
• experimenting and analysing
• interpreting models
• verifying and validating
Each step of the research process will be complemented by:
a. Hands-on sessions of model building in NetLogo, a widely used and powerful language for social science modelling. The sessions are designed in such a way that you will understand the structure of a model and learn to write the program code yourself.
b. Model development sessions. These sessions will facilitate the development of a model relevant to your research, from conception through specification to first steps of implementation.
At the end of this course you will be able to see the world through modeller’s eyes and start programming your own agent-based models.
Students/PhD £200, higher education staff £400, others £800. The course is part of the ESRC Advanced Training Initiative; three bursaries for non-DTC South East PhD students are available, covering fees and some travel. To apply please send a brief report from your supervisor/manager about the relevance of the course for your work and a statement why you need financial support attend. Deadline for bursary application 8th of May 2015.
To book please visit http://store.surrey.ac.uk/browse/extra_info.asp?compid=1&modid=2&catid=15&prodid=244 <http://store.surrey.ac.uk/browse/extra_info.asp?compid=1&modid=2&catid=15&prodid=244>
For further information please email: email@example.com <mailto:firstname.lastname@example.org>
Written by the author of NetLogo, and with downloadable examples, is just out.
Where: Technical University of Dresden
When: 9. – 17. July 2015
Application deadline: 28. February, 2015
More details: http://tu-dresden.de/forst/summerschool
The International Advanced Studies in Demography (IDEM) program is currently accepting applications for an intensive course on Agent-based Modeling and Simulation, to be held 20-30 October 2014 at the Max Planck Institute for Demographic Research in Rostock, Germany.
The course aims at introducing students to agent-based modeling and simulation and offers four important skills: simulation skills, an agent-based modeling language, software skills (NetLogo), as well as strategies for designing agent-based models and implementing simulation experiments. This course is jointly organized by the Max Planck Institute for Demographic Research, the Vienna Institute of Demography and the University of Southampton.
There is no tuition fee. However, students are expected to pay their own transportation and living costs. A limited number of scholarships are available on a competitive basis for outstanding candidates and for those applicants who might otherwise not be able to come.
The application deadline is 20 August 2014.
For more information about the course and application instructions please visit http://tinyurl.com/goabm
Dr. Anna Klabunde
Max Planck Institute for Demographic Research
Phone: (+49) (0) 381 2081 – 174
By Scott E. Page of the University of Michigan. In this class, you will learn how to think with models and use them to make sense of the complex world around us.
About the Course
We live in a complex world with diverse people, firms, and governments whose behaviors aggregate to produce novel, unexpected phenomena. We see political uprisings, market crashes, and a never ending array of social trends. How do we make sense of it? Models. Evidence shows that people who think with models consistently outperform those who don’t. And, moreover people who think with lots of models outperform people who use only one. Why do models make us better thinkers? Models help us to better organize information – to make sense of that fire hose or hairball of data (choose your metaphor) available on the Internet. Models improve our abilities to make accurate forecasts. They help us make better decisions and adopt more effective strategies. They even can improve our ability to design institutions and procedures. In this class, I present a starter kit of models: I start with models of tipping points. I move on to cover models explain the wisdom of crowds, models that show why some countries are rich and some are poor, and models that help unpack the strategic decisions of firm and politicians. The models covered in this class provide a foundation for future social science classes, whether they be in economics, political science, business, or sociology. Mastering this material will give you a huge leg up in advanced courses. They also help you in life. Here’s how the course will work. For each model, I present a short, easily digestible overview lecture. Then, I’ll dig deeper. I’ll go into the technical details of the model. Those technical lectures won’t require calculus but be prepared for some algebra. For all the lectures, I’ll offer some questions and we’ll have quizzes and even a final exam. If you decide to do the deep dive, and take all the quizzes and the exam, you’ll receive a certificate of completion. If you just decide to follow along for the introductory lectures to gain some exposure that’s fine too. It’s all free. And it’s all here to help make you a better thinker!
Subtitles for all video lectures available in: English, Chinese (provided by Yeeyan), Ukrainian (Pinchuk Foundation), and Turkish (provided by Turkcell Akademi).
Due do some cancellations, we still have a few places free in our course on agent-based/individual-based modelling, given by Steve Railsback, Daniel Ayllon, and me in Leipzig, September 15-19, 2014.
The course is designed for those who consider or plan to teach agent-based modelling, but in previous courses we also have accepted postdocs and PhD students. We teach how to teach by just teaching: we treat all participants as beginners (which many of the participants in our earlier course were), and make them do exercises taken from our texbook.
More infos on the course are available here: http://www.humboldt.edu/ibm/index.html and below. The course fee is 450 Euros, which includes instruction, lunches, and several social events. The fee does not include transportation or lodging.
If you have interest, please contact me (email@example.com).
…as part of the University of Manchester‘s “Methods@Manchester” Summer School. For more information or to participate please register with the Summer School site:
TALISMAN Summer School: Computer Programming for Social Scientists
July 15-19, 2013 at the University of Leeds
The TALISMAN node of the National Centre for Research Methods is pleased to offer a five-day summer school on computer programming for social scientists. The school aims to bring social scientists without any programming experience to the point where they can program their own social science models and applications. It will provide a beginners’-level introduction to computer programming using examples drawn from social science. It will also introduce key libraries, methodologies, and platforms available for social science programmers.
Students will learn the high-level programming language Java. Java was chosen because it is the most in-demand language in industry, and because people who learn the language should have no difficulty picking up other languages.
The school offers a unique, hands-on learning experience. Practical work will include building up core social science models, and will introduce students to Spatial Interaction Modelling, Microsimulation, Agent-based modelling, Genetic Algorithms and other Artificial Intelligence techniques, Statistical Analysis and Scientific Visualisation. Each day there will be a two hour “hacking” workshop for students to build their own software with advice from experienced staff.
We welcome applications from postgraduate students/researcher and academics. The deadline for applications is April 30, 2013
For further information and to apply, please visit: http://www.geog.leeds.ac.uk/research/events/computer-programming-for-social-scientists/
TALISMAN Project Assistant
School of Geography
Faculty of Environment
University of Leeds
Tel: 0113 343 7992
Is being offered for the last time on the Coursera website, designed and lead by Scott Page!It lasts for 10 weeks starting from March 4th see: https://www.coursera.org/course/modelthinking
…but the materials, slides and accompanying example models will remain here, freely accessible for any educational use. To access them use the links just below, or from the menus above, in particular the “Course Outline” menu from the pages on each session.
If you have any queries about the materials, please contact me, the author of them,