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Resources
Data Science & Human Behavior Online Resource Library
We built an online resource for scientists studying human behavior to understand and apply new methods, concepts, and techniques from machine-learning, AI, and other computational fields. Many online data-science resources target workers in industry, programmers, …
Data Science and Pandemics
COVID-19 Data Science and Behavior Links by Tim Rogers you can also view this page on Tim’s github The following are resources for non-medical, non-expert data-scientists interested in understanding the COVID-19 pandemic and human behavioral …
Reinforcement Learning
by Rahul Parhi This video by Arxiv Insights called “An Introduction to Reinforcement Learning” provides a decent high level introduction to reinforcement learning that I believe is accessible to academics, but doesn’t go into a …
CogSci 2018 – Why Changing Minds?
On the motivation for this year’s theme and its connection to current events. When we bid to organize CogSci three years ago the global erosion of faith in factual knowledge was already well under way. Scientific …
Interactive Science Communication
by Scott Sievert and Purav “Jay” Patel Scientific research is still communicated with static text and images despite innovations in learning theories and technology. We are envisioning a future in which interactive simulations and visualizations …
Singular Value Decomposition (SVD)
By Lowell Thompson and Ashley Hou This is a collaborative tutorial aimed at simplifying a common machine learning method known as singular value decomposition. Learn how these techniques impact computational neuroscience research as well! Singular …
What is a Computational Cognitive Model?
By Rui Meng and Ayon Sen A computational cognitive model explores the essence of cognition and various cognitive functionalities through developing detailed, process-based understanding by specifying corresponding computation models. Sylvain Baillet discusses various aspects of …
Martina Rau on Learning with Visuals
Lucid Faculty, Educational Psychology Professor, Director of Learning, Representations, & Technology Lab as well as Computer Sciences Affiliate, Martina Rau is interested in educational technologies to support more effective learning with visuals. While we generally …
Poolmate: Pool-Based Machine Teaching
Poolmate provides a command-line interface to algorithms for searching teaching sets among a candidate pool. Poolmate is designed to work with any learner which can be communicated with through a file-based API. Developed by Ara …