Share your Work

Content Creation for Research

Document New Data ^{11 mins} README Best Practices ^{5 mins} Pandoc: An Easy Document Converter ^{8 mins} Publish Ebooks and Interactive Articles Directly From R ^{2 mins} Create Your First Interactive Document With Quarto ^{9 mins} Automating Dynamic Reports With Quarto ^{6 mins} Build and Publish a Website With Quarto ^{6 mins}

Shoot Educational Videos

Part 1: What Is an Educational Video? ^{1 mins} Part 2: Buying Equipment for Educational Videos ^{21 mins} Part 3: Shooting Educational Videos ^{13 mins}

Create Your Own Website in 15 Minutes

Part 1: Hugo Website Overview ^{3 mins} Part 2: Get Hugo ^{2 mins} Part 3: Pick a Theme ^{3 mins} Part 4: Add Some Content ^{3 mins} Part 5: Go Live! ^{3 mins}

Project Management and Team Sciences

Engage in open source projects

Contribute to Open Source Projects ^{5 mins}

Project Management on GitHub

Document and Share your Data using GitHub ^{5 mins} Use Overleaf to Collaborate on Research Papers ^{2 mins} Share Large Temporary Files ^{4 mins} Use Software Environments to Ensure Replicability ^{7 mins} Set up TeamViewer ^{2 mins} Safely Store Your Credentials By Configuring Environment Variables ^{4 mins}

Contribute to Tilburg Science Hub

Your building block title (50-70 characters + most important keyword must be in the title atleast once) ^{2 mins} Your Building Block Title (50-70 characters + most important keyword must be in the title atleast once) ^{3 mins} Style and Writing Guide ^{15 mins} Ways of contributing to Tilburg Science Hub ^{3 mins} Contribute using Pull Requests ^{6 mins} Code of Conduct ^{2 mins} Add yourself as a Contributor ^{3 mins} Adding Pages to Home Page Cards ^{2 mins}

Big Team Science

Bring Open Science Practices to your Research Group ^{1 mins} How to Prepare for (and Follow-up On) Scrum Meetings ^{2 mins} Linux file permissions ^{4 mins} Professionalize your Team Work Using Scrum ^{6 mins}

Organizing your Research

Note Taking

Note Taking Systems in Academia ^{12 mins}

Templates and Dynamic Documents

Write Your First LaTeX Document in 15 Minutes

Part 1: The Fine Art of Typesetting ^{3 mins} Part 2: Setup LaTeX ^{2 mins} Part 3: Your First Article ^{7 mins} Part 4: Add a Bibliography ^{3 mins} Part 5: Useful Tips ^{3 mins}

Dynamic Reports

Citation Management within Rmarkdown ^{6 mins} Cross-Referencing within Rmarkdown ^{6 mins} Handling Figures in Rmarkdown ^{6 mins} Automate Converting Regression Results to LaTeX Equations in Rmarkdown ^{5 mins}

Templates

LyX for Professional Research Papers and Presentations ^{2 mins} Get Started With Our LaTeX Thesis Template ^{1 mins} Get Started With Our Bookdown Thesis Template ^{2 mins} Cheatsheet for LaTeX Math Commands ^{10 mins}

Writing an academic paper

Writing Process

Master Thesis Resource Bundle ^{1 mins} Prepare for your Master Thesis ^{8 mins} Chapter Structure of a Thesis or Academic Paper ^{13 mins} Mastering Academic Writing ^{6 mins}

Citations and References

Build and Maintain a Reference List ^{6 mins} Cite Efficiently in Your Academic Paper ^{5 mins}

Literature Review

Searching for Literature on the Web ^{3 mins}

Data and Coding Related

Coding, Workflow, and Data Management in a Research Project/Thesis ^{5 mins}

Machine Learning and Predictive Modeling

Supervised Machine Learning

Support Vector Machines in Python ^{11 mins} Introduction to Random Forests in Python ^{11 mins} Extreme gradient boosting with XGBoost in R ^{15 mins} Extreme Gradient Boosting with XGBoost in Python ^{5 mins} Loss Functions and Cost functions in Machine Learning ^{9 mins} Optimization in Machine Learning ^{7 mins} Linear Regression for Prediction in Python ^{8 mins} Classification for Prediction in Python ^{8 mins} Mitigating Overfitting in Decision Trees ^{11 mins} Detecting Overfitting with K-Fold Cross-Validation ^{6 mins}

Machine Learning 101

In-depth Introduction to Unsupervised Machine Learning ^{17 mins} In-depth Introduction to Supervised Machine Learning ^{13 mins} Get Introduced to Machine Learning ^{7 mins} Introduction to Deep Learning ^{11 mins} In-depth Introduction to Machine Learning and R ^{1 mins}

Tests

Testing OLS Assumptions

Evaluate Model Assumptions of an OLS Regression in R ^{3 mins} Testing and Correcting for Heteroskedasticity ^{16 mins} Testing for Serial Correlation ^{9 mins}

Non-parametric Tests

Understanding the binomial test ^{8 mins} Chi-Squared Test ^{5 mins} Wilcoxon test ^{8 mins}

Causal Inference

Regression Discontinuity Designs (RDD)

Sharp RD Designs ^{7 mins} Regression Discontinuity Plots ^{9 mins} Continuity-Based Approach ^{6 mins} Fuzzy RD Designs ^{8 mins} Fuzzy RDD in Practice ^{4 mins} Local Randomization Approach ^{10 mins} Validation and Falsification Analysis for RDD ^{11 mins} RDD with Discrete Running Variables ^{13 mins} Regression Discontinuity in Time (RDiT) ^{15 mins}

Synthetic Control

Introduction to Synthetic Control Methods ^{11 mins} Synthetic Control Method without Exogenous Variables ^{11 mins} Synthetic Control for Impact Evaluation ^{5 mins}

Matching

An Introduction to (Exact) Matching ^{10 mins} Propensity Score Matching: A Method for Approximate Matching ^{9 mins}

Instrumental Variables

Intro to IV Estimation ^{7 mins} The Shift-Share Instrumental Variable ^{7 mins}

Difference in Difference

An Introduction to Difference-in-Difference Analysis ^{8 mins} Difference-in-Difference as a Regression ^{9 mins} Staggered Difference-in-Difference Estimation ^{10 mins} Testing for Pre-trends in DiD and Event Studies ^{14 mins} Impact evaluation: RD vs DID ^{6 mins} Handling Parallel Trends Violations with `HonestDiD` in R ^{10 mins}

Panel Data

An Introduction to Panel Data ^{13 mins} Event Studies for Causal Inference ^{10 mins} The Fixed Effects Model (Within Estimator) ^{6 mins} Fixed-Effects Estimation in R With the `fixest` Package ^{9 mins} The Pooled OLS Model ^{3 mins} The First-Difference Estimator ^{4 mins} The Between Estimator ^{2 mins} The Random Effects Model ^{8 mins} Dynamic Panel Data Estimation with System-GMM ^{9 mins}

Regression Analysis

Reporting

Evaluate Model Assumptions ^{3 mins}

Linear Regression

Run a Regression Analysis ^{4 mins} Interaction Terms ^{17 mins} Easy Standard Error Adjustment with `estimatr` ^{5 mins} Doing Calculations with Regression Coefficients Using deltaMethod ^{4 mins} Compute Marginal Effects ^{7 mins} Fixed Effects Regression Assumptions ^{5 mins} Mediation Analysis Tutorial in R ^{15 mins} Interpreting Regression Models in R ^{12 mins} Understanding Linear Regression Summary Output in R ^{10 mins} Survival Analysis in R ^{12 mins}

Software Installation

Introduction

Introduction to Causal Inference ^{5 mins} Software Setup Overview ^{2 mins} Statistical Power ^{11 mins}

IDE's

Comparing Text Editors ^{6 mins} Set up Visual Studio Code ^{4 mins} Other Programming Languages ^{1 mins}

Document Creation

Set up LaTeX ^{3 mins} Set up TeXmacs ^{2 mins} Set up Pandoc ^{3 mins} Set up Sublime Text ^{3 mins} Set up Quarto ^{2 mins}

Python

Set up Python ^{4 mins} Python Coding Style Guidelines ^{5 mins} Introduction to Coding With Python ^{12 mins} Install Python Packages ^{2 mins} Configuring Python for Web Scraping ^{5 mins} Configure Python Virtual Environments ^{5 mins}

MATLAB

Set up Julia ^{1 mins} Set up MATLAB ^{1 mins}

Stata

Getting started with Stata ^{2 mins} Set up Stata ^{3 mins} Stata Coding Style Guidelines ^{5 mins} Install Stata Packages ^{2 mins}

R & RStudio

Set up R and RStudio ^{6 mins} Get Started With R ^{5 mins} R Coding Style Guidelines ^{5 mins}

Perl

Set up Perl ^{2 mins}

Developing Coding Skills

Coding Practices

Principles for Good Coding ^{3 mins} Parallel Computing in R ^{7 mins}

Bash

Learn Bash Commands ^{5 mins} Set up Command Line Tools ^{4 mins} Making Path Settings Permanent ^{3 mins} Bring AI to your command line/terminal ^{7 mins}

Data Visualization

R-Shiny

Shiny Fundamentals: Introduction and Building Your First Shiny App ^{12 mins} Shiny Fundamentals: The User Interface ^{12 mins} Shiny Fundamentals: Reactive Programming ^{10 mins} Shiny Fundamentals: Introduction to Shiny Modules ^{8 mins} How to: Build a Data Exploration App in Shiny ^{11 mins} How to: Integrate Plotly within Shiny for Data Storytelling ^{11 mins} How to: Create the 'perfect' plot with R Shiny ^{13 mins} Advanced Customization: The bslib and thematic packages ^{10 mins} How to create a Shiny Dashboard using Shinydashboard: A User Interface Guide ^{13 mins} Build Interactive Dashboards with R Shiny ^{7 mins}

Graphs and Charts

Plot Saving in R: Techniques and Best Practices ^{9 mins} Data Visualization Best Practices ^{11 mins} Grammar of Graphics of ggplot2 ^{12 mins} Visualizing data with Plotnine and Altair ^{4 mins} Plotting with Matplotlib and Seaborn in Python ^{7 mins} Stata Graphs Made Easy ^{3 mins} Visualizing Time Series Data with ggplot2 ^{14 mins} Styling Bar Charts in ggplot2 ^{12 mins} Dynamic Data Storytelling with Plotly ^{14 mins} Combining Statistical Testing and Visualization, directly in R using ggpubr and rstatix ^{9 mins}

Regression Results

Generate a coefficient plot in R with the `modelplot` function ^{8 mins} Generate regression tables in R with the `modelsummary` package ^{39 mins} Forest Plot Generation in R ^{6 mins}

Reporting Tables

tableFill for Reproducible Tables ^{4 mins} Make Tables and Figures Reproducible with Autofilling Values ^{2 mins} Converting Pandas DataFrames to LaTeX and Markdown Tables ^{4 mins} Create a publication-ready LaTeX regression table with `kableExtra` in R ^{14 mins} Stargazer: Exporting Publication-Ready Tables in R ^{2 mins}

Version Control and Repository Management

Advanced Git

Restoring Timestamps in Git Repositories ^{3 mins} Exclude Files from Versioning ^{2 mins} Getting started with Tilburg's GitLab ^{7 mins} Git Branching Strategies ^{9 mins} Best Practices for Naming Git Branches ^{3 mins} Best Practices for Git Commits ^{2 mins} Working with Large Files on GitHub ^{5 mins} Remove Sensitive or Large Files From Your Repository ^{2 mins}

Getting Started with Git and Github

Set up Git and GitHub ^{4 mins} Get Started With Using Git and GitHub ^{11 mins} The Most Important Git Commands You Should Know ^{4 mins} The GitHub Workflow ^{8 mins} Manage Your Projects Using the GitHub Project Board ^{2 mins} Best Practices for GitHub Issues Management ^{11 mins}

Repository Lifecycle

Make Your GitHub Repository Citable using DOIs ^{1 mins} Archiving Repositories When They Are Done ^{2 mins} Export Repositories With GitHub Releases ^{2 mins}

Replicability and Environment Management

Running Computations Remotely

Part 1: Cloud Computing ^{2 mins} Part 2: Launch Instance ^{2 mins} Running Computations Remotely ^{3 mins} Part 4: Move Files ^{1 mins} Part 5: Run Scripts ^{2 mins} Part 6: Terminate Instance ^{1 mins}

Docker

Set up Docker ^{6 mins} Import and run a project environment with Docker on Google Cloud ^{13 mins} Export a Python Environment with Docker and Share It Through Docker Hub ^{13 mins}

Cloud Computing

HPC TiU High-performance Computing ^{3 mins} Snellius: The Dutch National Supercomputer ^{2 mins} Cloud Computing with SURFsara's LISA Cluster ^{1 mins} Cloud Computing with SURFsara's Cartesius Cluster ^{1 mins} Getting Started with SURF Research Cloud (SRC) ^{6 mins} Setting Up a New Workspace, Configuring Git and Adding Research Drive on Research Cloud ^{4 mins} Set up the AWS Client ^{1 mins} Run RStudio on AWS using Docker ^{6 mins} Use Google Colab to Run Python in the Cloud ^{3 mins} Configure a VM with GPUs in Google Cloud ^{9 mins} Combine GitHub and Google Colab for Collaborative Development ^{7 mins} Monitor and solve memory constraints in your computational environment ^{6 mins}

Package Management

Package Management for R: renv ^{5 mins} Manage your R Packages with Packrat ^{6 mins} How to Automatically Install R Packages Used in a Project ^{3 mins}

Using Artificial Intelligence

Transcription and Command Line Tools

Making transcriptions using OpenAI's Whisper ^{4 mins}

Enhance your Research Using ChatGPT Models

Use ChatGPT for your research! ^{5 mins} GitHub Copilot in RStudio and VS Code ^{16 mins}

Workflows

Principles of Project Setup and Workflow Management

Part 1: Project Setup Overview ^{5 mins} Part 2: Pipelines and Project Components ^{9 mins} Part 3: Data Management and Directory Structure ^{14 mins} Part 4: Automating your Pipeline ^{6 mins} Part 5: Documenting Datasets ^{1 mins} Part 6: Documenting Source Code and Pipeline Workflows ^{3 mins} Part 7: Part Versioning using Git and GitHub ^{9 mins} Part 8: Collaborating using GitHub ^{7 mins} Part 9: Checklist to Audit Data- and Computation-intensive Projects ^{4 mins}

Starting a New Project

Starting Up a New Empirical Research Project ^{6 mins} Learn About the Various Ways to Setup a Research Infrastructure ^{6 mins}

Auditing Existing Projects

Use this Checklist to Improve Your Project's Structure and Efficiency ^{4 mins}

Automation Tools

Practicing Pipeline Automation using Make

Part 1: Pipeline Automation Overview ^{3 mins} Part 2: Verify Software Setup ^{1 mins} Part 3: Download the Template ^{2 mins} Part 4: Running the Workflow ^{1 mins} Part 5: Inspecting the Data-preparation Pipeline ^{1 mins} Part 6: Dry-run of Make and First Modifications ^{4 mins} Part 7: More Modifications ^{2 mins} Part 8: Extending the Analysis ^{1 mins} Part 9: Wrap-Up ^{2 mins}

Make and Makefiles

Use Makefiles to Manage, Automate, and Reproduce Projects ^{5 mins} Set up Make ^{4 mins} Debugging Makefiles With Remake ^{7 mins} Set up Snakemake ^{2 mins}

Inside AirBnB - Workflow Walkthrough

Part 1: Airbnb Workflow Overview ^{1 mins} Part 2: Loading the Data ^{4 mins} Part 3: Transforming the Data ^{3 mins} Part 4: Exporting the Data ^{2 mins} Part 5: Automating Workflows ^{2 mins} Part 6: Conclusion ^{2 mins}

Task Automation

Error Handling in Stata Workflows Using R ^{4 mins} Schedule Recurring Tasks (e.g., by day, hour) ^{6 mins}

Deployment

Implement a GitHub Actions workflow for code formatting and testing ^{7 mins} Configure a Self-hosted runner for GitHub Actions workflows ^{10 mins} Enhance Reproducibility and Automation with GitHub Actions ^{6 mins}

Data Collection

Web Scraping

Extract Data Using the YouTube API ^{5 mins} Avoid Getting Blocked While Scraping ^{2 mins} Web Scraping and API Mining ^{4 mins} Scrape Dynamic Websites ^{4 mins} Scrape Static Websites ^{5 mins} Assess what Data is Available ^{5 mins} Monitor and Safeguard Your Data Quality ^{4 mins} Safeguard Legal Compliance When Scraping ^{6 mins} Calculate Sample Sizes for Web Scrapers ^{2 mins}

Surveys

Creating Qualtrics Surveys and Exporting Data to R and Python ^{6 mins}

API's

Extract Data From APIs ^{5 mins} Read & Write Data From APIs ^{2 mins}

Data Storage

Databases

From CSV to SQL Databases: Matching Data Solutions to Your Needs ^{4 mins} SQLite in R for Research Data Storage ^{3 mins} Online Data Sources for Economists ^{2 mins} Online Data Collection and Management ^{1 mins}

Long Term Archiving

Choose a Data Repository for Long-Term Storage ^{5 mins}

Commercial Cloud

Use AWS S3 Buckets ^{5 mins} Handle storage within your Google Cloud instance ^{5 mins} Download Data Programmatically ^{8 mins}

Surf Research Cloud

Set up SURF Research Drive to Store Data ^{6 mins}

Manipulating and Cleaning Data

Numerical Data

Clean Numeric Data Scraped From Social Media ^{1 mins} Pandas for Data Manipulation in Python ^{16 mins}

Textual Data

Learn Regular Expressions ^{12 mins} Text Pre-processing in Python ^{11 mins} Text Pre-processing in R ^{9 mins}

Loading and Importing Data

Import Large Datasets

Handle Large Datasets In Python ^{5 mins} Import Large Datasets Into R ^{10 mins} Practical Example with Dask ^{7 mins}

Getting Started

Data Preparation and Workflow Management ^{1 mins} SPSS Data in R ^{11 mins}

Personalized Cookies

Topics

Collaborate and Share

Share your Work

Content Creation for Research

Shoot Educational Videos

Create Your Own Website in 15 Minutes

Project Management and Team Sciences

Engage in open source projects

Project Management on GitHub

Contribute to Tilburg Science Hub

Big Team Science

Research Skills & Theses

Organizing your Research

Note Taking

Templates and Dynamic Documents

Write Your First LaTeX Document in 15 Minutes

Dynamic Reports

Templates

Writing an academic paper

Writing Process

Citations and References

Literature Review

Data and Coding Related

Analyze Data

Machine Learning and Predictive Modeling

Supervised Machine Learning

Machine Learning 101

Tests

Testing OLS Assumptions

Non-parametric Tests

Causal Inference

Regression Discontinuity Designs (RDD)

Synthetic Control

Matching

Instrumental Variables

Difference in Difference

Panel Data

Regression Analysis

Reporting

Linear Regression

Computer Setup

Software Installation

Introduction

IDE's

Document Creation

Python

MATLAB

Stata

R & RStudio

Perl

Developing Coding Skills

Coding Practices

Bash

Visualizing and Reporting

Data Visualization

R-Shiny

Graphs and Charts

Regression Results

Reporting Tables

Reporting Tables

Automations and Workflows

Version Control and Repository Management

Advanced Git

Getting Started with Git and Github

Repository Lifecycle

Replicability and Environment Management

Running Computations Remotely

Docker

Cloud Computing

Package Management

Using Artificial Intelligence

Transcription and Command Line Tools

Enhance your Research Using ChatGPT Models

Workflows

Principles of Project Setup and Workflow Management

Starting a New Project

Auditing Existing Projects

Automation Tools

Practicing Pipeline Automation using Make