Complex systems in behavioural sciences @[email protected]
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03:51
CCS2020 poster: Complexity in Psychological Self-Ratings
43:50
Mediation, interactions, multilevel models and more (Q & A with Fred Hasselman)
02:02
General Introduction to Complex Systems Science and its Applications
01:05:48
Ken Resnicow: Behavior Change is a Complex Process. How does it impact theory, research & practice?
22:34
Ira Alanko: The AuroraAI Programme
29:12
Daniele Proverbio: Smooth or abrupt? How dynamical systems change their state
47:38
Matti Heino: Studying motivation systems with data from self-assessments and wearable technology
26:56
Nanne Isokuortti: From exploration to sustainment – Complex implementation in public social services
57:27
Gwen Marchand: Complexity Science in the Design and Evaluation of Behaviour Interventions
29:36
Nelli Hankonen: Why is it useful to consider complexity insights in behaviour change research?
37:39
Olli-Pekka Heinonen: Complexity-informed policymaking
12:34
Nelli Hankonen: Opening words & introduction to the Behaviour Change Science & Policy (BeSP) project
38:58
Marijn de Bruin: Integrating behavioural science in COVID-19 prevention efforts – the Dutch case
46:26
Jari Saramäki: How do behaviours, ideas, and contagious diseases spread through networks?
00:45
44-second Summary and Take-home Message
31:43
Lecture 11: Multiplex recurrence networks for non-linear multivariate time series analysis
45:33
Lecture 10: Introduction to graph theory, with applications of network science
01:00:04
Lecture 9: Multivariate Time Series Analysis – Dynamic Complexity & Phase Transitions in Psychology
51:49
Lecture 8: Multivariate Recurrence Quantification Analysis
41:57
Lecture 7: Recurrence Quantification Analysis in practice
46:03
Lecture 5: Quantifying temporal patterns in unordered categorical time series data
46:11
Lecture 6: Quantifying temporal patterns in continuous time series data
47:02
Lecture 4: Detecting (nonlinear) structure in time series
42:43
Lecture 3: Basic Time Series Analysis
01:02:55
Lecture 2: Introduction to the mathematics of change
55:17
Lecture 1: Introduction to Complexity Science
04:58
Getting started with complexity methods: An interview
12:37
Interaction- vs component-dominant dynamics (Fred Hasselman)
05:54
Fallacy of Averages and Ergodicity (Fred Hasselman)
01:16:41
Complexity Science – It's about time (Fred Hasselman)
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#Complexity
A channel about Complexity Science applied to the Behavioural Sciences.
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