This 6 hours course provides training on how AI can assist a survey project from beginning to the end. 

We will focus on each step of the research process (Callegaro and Yang, 2025)

• Planning
• Execution 
• Activation

In the planning phase there are two sub phases

1) Ideate and define 

• AI can be an idea helper and assist on generating research ideas starting from previously knowledge
• A literature review can definitely be assisted by AI and there are specific tools available for that

2) Design and plan

• The design stage is where AI can assist in producing design brief, analysis plan and map the concepts that are going to be measured using the questionnaire

The execution phase consists of 

3) Data wizard

• Here AI has been used to help drafting and pretesting the questionnaire, help writing survey material such as survey invitation and confidentiality assurances.

4)Analysis copilot

• Once the data collection is under way, AI can assist in automating, and writing statistical code to analyze the dataset (stat code assistant). It can also be used as  theme discovery, for coding of open ended answers and data visualization.

The activation phase consists of:

5) Insight partner

• Help summarize findings, generate reports, help review the final deliverables such as a research report or a complete academic paper

6) Storytelling aid

• Develop presentation materials, create multi-media artifacts, generated blog post for different platforms, generate images based on content from the research

Organizational Structure of the Course 

The course will be taught in a workshop style where the lectures will be using presentation slides as a roadmap. After each concept has been introduced and discussed, the participants will be invited to work on brief hands on exercises with different LLMs such as Gemini, Claude, Copilot, and ChatGPT 

Participants will be strongly encouraged to ask questions during lectures, especially on how the content relates to their own research. 

Learning objectives
By the end of the course, you will:

• Learn how to prompt LLMs for survey research help and assistance
• Learn how to evaluate the quality of LLMs outputs
• Strengths and challenges of different LLMs tools
• Where LLMs are not necessary
• Ethical usage of LLMs/AI Tools
• Recent debate of using LLMs to produce research and write academic papers