About this webpage


We created the Beginner's Interactive NetLogo Dictionary (BIND) to provide an extensive but approacheable starting point for new learners of NetLogo. By new learner, we do not only mean students; we mean a wide spectrum of newcomers ranging from K-12 and college students who learn NetLogo as part of their in-school curriculum or after school programs to teachers who would like to create novel computational models for their students to scientists who would like to learn NetLogo to construct models of cutting-edge scientific phenomena. Thus, each item in this dictionary includes a beginner friendly description and an interactive code example so that you can see each NetLogo primitive in action and tinker with ideas. We hope that this resource will help you learn NetLogo faster and start creating your own models sooner.

In case you cannot find an entry for a NetLogo primitive in this webpage, you can refer to the full NetLogo documentation at https://ccl.northwestern.edu/netlogo/docs/

You can reach out to bind@ccl.northwestern.edu if you have any questions or feedback for us.


You can cite BIND as follows:

Aslan, U., & Wilensky, U. (2021). Beginner’s Interactive NetLogo Dictionary (BIND). Center for Connected Learning and Computer-Based Modeling, Northwestern University. Evanston, IL.



Our Team



Umit Aslan (umitaslan[at]u.northwestern.edu)

Uri Wilensky (uri[at]northwestern.edu)


Research Assistants

Nala Bishop

Sydney Crawford

James Hovet


Web development

Umit Aslan

James Hovet

Jeremy Baker

Jason Bertsche


Other Active Contributors

Jacob Kelter, Advisor in Instructional Design, NetLogo Programming

John Chen, Advisor in Web Development & NetLogo programming


Past Contributors

Mitchel Estberg, Undergraduate Research Assistant, Content

Kevin Mui, Undergraduate Research Assistant, Web Development

Shin Lee, Undergraduate Research Assistant, Web Development


We thank Aaron Andre Brandes for formulating the name of the Beginner's Interactive NetLogo Dictionary (BIND).


We also thank the following collaborators for their generous feedback: Gabby Anton, Connor Bain, Sugat Dabholkar, Can Gurkan, Kit Martin, Amanda Peel, Leif Rasmussen, Wouter Vermeer, Sally Wu.