Find AI research tutorials, official documentation, and selected videos organized by task, with source attribution and practical exercises to try.

Audit AI-written analysis code with hand-checkable examples, protected raw data, statistical review, and a clean rerun of your research outputs.

Plan a qualitative-coding pilot, protect participant context, review AI suggestions, and document your decisions with a reusable prompt and example.

Verify AI-generated references, check DOI records, read supporting passages, and keep a claim-by-claim log before using citations in your research.

Build an AI-assisted literature review with a search log, source-linked evidence matrix, reusable extraction prompt, and checks against the original papers.

Claude Code, Codex and Gemini CLI can run a whole analysis from raw data to figure. Here is how to set up the project so the result is reproducible.

How to design, pilot, run and analyse AI-moderated interviews at scale, and where human judgement still has to sit.

Choose an AI model for research with a realistic pilot, evidence checks, account-specific privacy review, and a record of versions and decisions.

AI research assistant helping with coding and data analysis In recent years, large language models, coding agents, and automation tools have gradually entered research practice. They can assist researchers with literature organization, code implementation, experiment orchestration, result aggregation, and even drafting. But this does not mean that the research process will naturally become more rigorous. On the contrary, if clear boundaries, evaluation, and process control ar

On October 15, New Scholars hosted a webinar featuring Stine Grodal and Henri Schildt on using AI for qualitative studies. Here is A Best Practice Guide to AI-Augmented Qualitative Research based on Stine and Henri's paper and their webinar. 1.0 Introduction: A New Frontier for Qualitative Inquiry New artificial intelligence (AI) tools are fundamentally reshaping the landscape of knowledge work, creating both significant opportunities and profound challenges for the qualitati

In academic research, qualitative interviews serve as a cornerstone for gathering rich, detailed data. However, traditional interview...

Automating interview processes has the potential to transform the way we gather qualitative data, particularly when dealing with...

Imagine you're trying to organize thousands of comments about a product into main themes or topics. Traditionally, researchers either had...

Use NotebookLM for source-based reading and audio summaries. Follow citations, check missing evidence, and review privacy settings for your account.

As an editor for the academic journals "Personality and Individual Differences" and "Psychology of Leaders and Leadership," Dritjon Gruda...

Build a small ScrapeGraphAI extraction pilot, follow maintained examples, inspect records against source pages and document the full data path.

Proofread academic writing with a correction-only AI prompt, tracked changes, and checks that protect technical terms, numerical values and meaning.

Plan AI-assisted web extraction with a sampling rule, explicit schema, source log and validation checks. Includes the original tutorial recordings.

Choose an AI research workflow for literature review, qualitative coding, data analysis, writing, or video learning, with practical checks and next steps.

Identify topics with AI using source-linked labels, a reviewed codebook, held-out examples and frequencies calculated from checked assignments.

This video is from DataScienceDojo. A very nice place for you to learn data analytics. Copyright @DataScienceDojo Generative AI is a...