Other Resources

There are so many good learning resources out there by open science enthusiasts all around the world, but you just need find such resources in a sea of commercial and other resources. We are aiming to have a good overview here that helps with starting to learn in a specific expertise domain that can be helpful to the field of multimodal analyses. It is still very much under construction, so please reach out if you have tips for resources to be included.

How to do open science

Progamming language	Contributors	Estimated skill level	Resource
Markdown (mostly text)	The Turing Way Community	Beginner to moderate	The Turing Way: A handbook for reproducible, ethical and collaborative research

Python programming

Progamming language	Contributors	Estimated skill level	Resource
Python	Luka Snoek	Beginner	Introduction to pyhon programming called introPy

Methods in Dynamical Systems

Progamming language	Contributors	Estimated skill level	Resource
R	Fred Hasselman	Beginner to moderate	The complex systems approach

Kinematics and biomechanics

Progamming language	Contributors	Estimated skill level	Resource
Python	Félix Chénier	Beginner to moderate	Biomechanical Analysis using Python and Kinetics Toolkit

Deep learning

Progamming language	Contributors	Estimated skill level	Resource
Python	Aston Zhang et al.	Advanced	Dive into Deep Learning
Varied	Beijing University of Post and Telecommunication	Advanced	Overview of state-of-the art computer vision pose models

General Resources

Jupyter Books Library

Jupyter notebooks you might know from envisionBOX, which is a way to integrate python or other code with editable chunks of guiding text. However, Jupyter books takes it one step further and allows for interactive books that guide you through complicated data science concepts with embedded code and interactive content. There are many different books already published and we fervently recommend you to check it out.

Check it out

Guide: Creating Stable Citations

Learn how to create a permanent, citable reference for your EnvisionBOX coding modules using GitHub and Zenodo. This guide walks you through setting up a CITATION.cff file and generating a DOI in Zenodo to ensure your work is properly recognized in academic research.

Read Guide

News

Summer School 'Multiscale Social Dynamics in Individuals and Groups' (MDIG2026) — 13–17 July 2026, MindLabs, Tilburg University. Five-day programme on multimodal signal analysis, motion tracking, multiscale synchrony, and GDPR-compliant data practices. Travel grants available. Supported by EnvisionBox.org.

New module on Phoneme-Level Speech-Text Synchronization using the Montreal Forced Aligner (for Python)

EnvisionBox has been shortlisted for the Leo Waaijers open science award 2025!

New module on automatic object tracking and object-to-object overlap detection using SAM2 (Python App)

Satellite event for envisionBOX: Summer school 23-27 June 2025 Amsterdam on "Unboxing Multimodality"

New module on multi-person tracking with YOLO and social proximity calculation (Python)

New module on turn-taking dynamics and entropy (Python)

New module on 3D pose tracking with OpenPose and Pose2sim (Python)!

New module on creating video-embedded animations (Python)

New module on 3D pose tracking from 2D video data (Python)!

New module that goes into dynamic dashboards (Python)!

New module that goes into full body tracking with Mediapipe (Python)!

New module that goes into multimodal data wrangling in Python!

Get in touch

You can get in touch with any contributor of particular teaching modules. Emails are generally provided in the modules themselves. If you want to reach out to the main overseeing contributors than you can reach out to any of these people: