Resources

 

We have an amazing team who curated many resources for the community.

Milgram Obedience Experiment: An Agent-Based Model

An open, interactive agent-based model (ABM) exploring Stanley Milgram's classic obedience experiments through computational modelling. Built with the Mesa ABM framework and a Streamlit dashboard, it simulates how situational factors (experimenter …

How to Test AI Research Tools: A Repeatability Worksheet and Worked Example

A free teaching activity for evaluating AI literature-search assistants through repeated use rather than one polished response. Learners run the same scholarly-search task three times, preserve visible sources, log test conditions and access …

Open Lab

The Open Lab platform empowers researchers to collect rich datasets by combining lab.js tasks with Open Lab's own study-building logic and participant-management system: lab.js provides the interactive tasks and surveys, while Open Lab adds the study …

Samply

Samply schedules push notifications to study participants on a flexible, repeating cadence. It works for any longitudinal design — daily diaries, experience-sampling, intervention studies, clinical trials — wherever you need to reach participants …

SMAAT

SMAAT (Sensor-based Mobile Application for Assessment and Tracking) lets you design studies, schedule experience sampling, and collect encrypted survey and sensor data from iOS and Android participants — with real-time compliance dashboards, …

An introduction to the topic of Open Science for researchers in business studies and economics

This presentation contains a concise introduction to the topics of Open Science, Open Access, Open Data, and Open Code. It is specifically designed for PhD students in business studies and economics. Feel free to adapt the content to suit your …

Open Science Sprint Content

This website offers an open science curriculum that was created by a global community of practitioners and scholars. It offers resources for teaching and studying open science techniques and was created as a part of the NASA Transform to Open Science …

Defining Effect Sizes

This guide offers detailed instructions for calculating effect sizes and confidence intervals, which are frequently utilized in the social and behavioral sciences. It provides background information, useful tools, and advice for situations in which …

Transform to Open Science

The United States government defines open science as “the principle and practice of making research products and processes available to all, while respecting diverse cultures, maintaining security and privacy, and fostering collaborations, …

DES RAP Book: Reproducible Discrete-Event Simulation in Python and R

Step-by-step guide for building Python and R simulation models as part of a reproducible analytical pipeline (RAP).
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