How to Set Up Your ChatGPT Account As An Academic, Researcher, or Postgraduate Student

Main ideas, concepts, and lessons

• Don’t use ChatGPT as a “prompt box only.” Many people simply create an account and start prompting. The speaker argues this doesn’t maximize what the system can do for academic or research work.

• Use ChatGPT for research workflows, not just for answers—e.g.:

  • brainstorm ideas
  • write or improve academic text
  • analyze arguments
  • plan data analysis
  • review research ideas
  • support deeper literature review

• Choose the right interface mode for your needs:

  • Web browser mode: simpler, but more restricted.
  • Desktop version: more control; recommended for “heavy” academic research users (described as larger, ~500–600 MB).

• Verify information. Even when ChatGPT uses web search or “deep research,” the researcher remains responsible for checking authenticity—ChatGPT is an assistant.

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Methodology / workflow for setting up and using ChatGPT

1) Create or log into an account

• If you already have an account (free or paid): log in.
• If you don’t: sign up, complete basic setup, and enter the dashboard.

2) Familiarize yourself with the ChatGPT dashboard/interface

• Explore the conversation area (often something like “What can I help you with?”).
• Use “+” upload/add options:
  • Add photos/files
  • Add from library (from local storage/library)
• Upload files for research tasks (e.g., research documents).

3) Select the right interaction mode (to maximize benefits)

Change modes based on the task:

• Basic chat / brainstorm-style use

  • Useful for brainstorming, explanations, and learning concepts.
  • Supports tasks like drafting or improving academic writing.
  • Examples mentioned:
    • explain the importance of p-values in inferential statistics
    • prepare lecture material
    • walk through data analysis and help create a data analysis protocol

• Web search mode

  • Use when you want ChatGPT to perform a more “web-based” search.

• Deep research mode

  • For comprehensive evidence reviews, not just surface-level searches.
  • Example mentioned: a comprehensive evidence review on antimicrobial resistance (AMR).

4) Use features in the interface to match academic/research tasks

• Basic chat feature (“new chat”)

  • Brainstorming, argument/concept analysis, academic writing support, learning.
  • Can help build research/dataset-related workflows.

• Project feature (dedicated workspaces)

  • Use for a structured, ongoing thread for a specific task.
  • Benefits:
    • keeps a line of conversation
    • lets you return later and continue where you left off
  • Typical setup behavior:
    • create a project with a name and description
    • a dedicated tab/folder is created for ongoing work
  • Example task: literature review

• Voice/dictation

  • If you don’t want to type, dictate to ChatGPT.
  • The system transcribes speech into text (faster for some users).

• Data/file upload for research document workflows

  • Upload downloaded journal articles.
  • Use ChatGPT to compare methodologies across multiple papers.
  • Support extraction and analysis from uploaded documents.

• Create image

  • Generate visuals from content/data, including:
    • graphs and figures
    • maps with legends
    • tables
    • lab/microscopy images (described broadly)
    • diagrams, charts, statistical outputs
    • infographics (including educational/scientific visualizations)

• Writing mode

  • Switch to writing mode to:
    • improve clarity
    • make writing more academic
    • reduce redundancy
    • strengthen arguments
    • improve transitions
    • convert notes into prose
    • edit grammar
    • adjust tone

• Data analysis support

  • Use ChatGPT for data cleaning and analysis assistance.
  • Emphasized to use alongside tools like Excel.
  • Mentions descriptive statistics and tasks like:
    • crosstabulation
    • variable exploration

• Coding (desktop-focused)

  • Use ChatGPT’s coding capability to support coding tasks.

• Plugins (add-ons)

  • Use plugins available in web/desktop versions for specialized tasks.
  • Example mentioned: GitHub for code-related context/tasks.

• Model selection (desktop version)

  • Desktop allows switching among models (examples mentioned: “5.6”, “5.5”).
  • Speaker notes model-specific strengths/weaknesses exist (details not covered here).

5) Configure personal instructions (personalization settings)

• In dashboard settings, configure personal instructions to improve accuracy and relevance.
• Where to find it:
  • via profile image → personalized settings (wording varies by version)
• What to include (examples given):
  • Pet name / identity info
  • Occupation (e.g., university lecturer/researcher)
  • Research interests, such as:
    • antimicrobial resistance
    • surveillance system evaluation
    • disease reporting
    • outbreak investigation
• Save settings and return to the dashboard.

6) Configure safety/privacy and behavior settings

• In General settings:
  • ensure an “access” option is unchecked:
    • do not grant “full access” of your entire system to ChatGPT
• Configure notification preferences:
  • enable permission/notifications to know when a task completes (if desired)

7) Use web/deep research responsibly

• Even with web search/deep research:
  • never use information from ChatGPT without verifying authenticity
  • the researcher remains responsible for correctness

8) Improve prompting even if you’re not strong at prompts

• Introduces reverse prompting:
  • if you’re not good at prompts, type/dictate what you mean anyway
  • ask ChatGPT to rewrite it into a refined prompt

9) Use ChatGPT as an assistant—not a replacement

• Closing lesson:
  • ChatGPT is an AI assistant, not a co-author.
  • It can handle “heavy lifting,” but you must:
    • take responsibility for outputs
    • apply your own cognitive/academic judgment

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Speakers / sources featured

• Speaker/host: The video lecturer (unnamed), described as an educator/academic (“This is research and statistics” channel).
• Primary tool/source mentioned: ChatGPT (OpenAI), including interface modes/features:
  • web, desktop, projects, deep research, voice, writing mode, create image, plugins, models
• External platform mentioned as an example plugin: GitHub