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Navigating Research: Workshops

The Edith Cowan Library- Scholarly Communication team facilitate a range of workshops specifically designed to assist research staff and higher degree by research students. We are able to develop and tailor sessions to meet the needs and requirements of a school, research group or other audience. Please contact us to discuss your training needs.

Topics include:

  • planning and sourcing information
  • researcher profiles eg ORCID
  • research metrics
  • open access and data sharing via the Institutional Repository

These are offered either on campus, as live webinars hybrid sessions or via appointment.

Responsible Use of AI in Research Workflows

DECEMBER 15

Join this webinar

Online

1:30 PM - 2:30 PM

Clarivate

This session offers a comprehensive guide to improving your search strategies by blending traditional methods, such as Boolean operators and subject searches, with AI-assisted approaches and hybrid search techniques. Participants will explore the fundamentals of conducting an effective literature review, learning techniques to efficiently find, evaluate, and document relevant academic resources. Additionally, the session will cover the importance of documenting searches and managing them using tools designed to assist with your research, ensuring a thorough and organised approach to data management. The session will focus on legal, ethical, and privacy considerations when handling all types of data, whether traditional or AI-generated.

Agenda:

  • Introduction to Responsible AI in Research: Setting the context for ethical, transparent, and accountable AI adoption.
  • Understanding AI Capabilities and Limitations: Clarifying what AI can and cannot do across discovery, writing, and analysis.
  • Ensuring Research Integrity in AI-Assisted Workflows: Addressing risks of hallucination, inaccuracies, and unverifiable claims.
  • Data Privacy, Security, and Sensitivity in AI Tools: How to handle confidential data and avoid unintended disclosure.
  • Ethical Literature Search and Review Practices: Using AI to streamline reviews without compromising methodological rigor.
  • AI-Assisted Writing: Transparency and Attribution: What to disclose, how to cite, and maintaining authorship accountability.
  • Avoiding Bias and Ensuring Fairness in AI Outputs: Identifying algorithmic bias and evaluating outputs critically.
  • Using AI for Research Design and Analysis Responsibly: Guardrails for hypothesis development, statistical suggestions, and coding.
  • Evaluating AI Tools for Trustworthiness: Key criteria: provenance, accuracy checks, audit trails, and reproducibility.
  • Institutional Policies and Global Guidelines on AI Use: Overview of policies from UGC, COPE, publishers, and research organizations.
  • Building a Responsible AI Culture in Academic Institutions: Training, governance, and role of libraries in ethical AI adoption.