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SUMMARY:Preserving Your Digital Scholarship Projects
DESCRIPTION:Don’t lose all that hard work you’ve put into creating a digital scholarship project! With all the moving parts involved\, digital scholarship projects can “break” two or three years after completion when preservation concerns aren’t considered. Websites require maintenance\, platforms like Omeka and StoryMaps need version updates\, file formats become obsolete – making projects interactive and accessible over the long-term can be complex. In this roundtable discussion\, we’ll explore challenges in preserving digital scholarship projects\, as well as tools & approaches to supporting their long-term access and use. We’ll conclude with a sandbox session where we share case studies and respond to participant questions.
URL:https://ccdhhn.ca/workshop/preserving-your-digital-scholarship-projects/
LOCATION:McMaster University\, 1280 Main St W\, Hamilton\, Ontario\, L8S 4L8\, Canada
CATEGORIES:1-4 hour workshop
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SUMMARY:Using Generative AI for Student Research
DESCRIPTION:This workshop aims to equip participants with a basic understanding of Generative AI (GenAI) and the ethical implications of its use in student research. Participants will explore its use for idea generation\, and literature reviews\, and consider ethical considerations such as plagiarism\, privacy\, and research integrity. In the hands-on portion of the workshop\, participants will explore GenAI tool usage and output evaluation for accuracy and biases. The workshop will also cover UVic policies\, attribution methods\, library resource integration\, and campus support services\, to encourage informed\, responsible GenAI use. \n\n\n\nInstructor: Christian Schmidt \n\n\n\nLearning Objectives: \n\n\n\n\nUnderstand Generative AI: Define Generative AI and explain its relevance and potential applications in student research.\n\n\n\nEthical Considerations: Discuss the ethical implications of using GenAI in academic work\, including issues related to plagiarism\, data privacy\, and research integrity.\n\n\n\nApply strategies such as prompt design\, critical review of terms and conditions\, and adjustments to privacy settings to address GenAI ethics and safety issues\n\n\n\nExplore Use Cases: Identify specific use cases of different GenAI in academic settings\, such as literature review\, idea generation\, and data analysis.\n\n\n\nPractical Applications: Demonstrate how to use Generative AI tools effectively for research purposes\, including tips for generating useful outputs and refining queries.\n\n\n\nEvaluate Quality and Reliability: Teach participants how to critically evaluate the outputs of Generative AI tools\, including assessing accuracy\, relevance\, and potential biases.\n\n\n\nIntegrate with Research Workflow: Show how Generative AI can be integrated into the research workflow\, from initial brainstorming to finalizing research papers.\n\n\n\nAttribution: Cite outputs from GenAI tools using APA\, MLA\, IEEE\, or other citation styles.\n\n\n\nUVic Policies: Describe UVic policies and guidelines that relate to the use of GenAI\, and understand their implications for academic integrity\n\n\n\nLeverage Library Resources: Explain to a friend how GenAI tools integrate with traditional library resources to advance research and learning\n\n\n\nStay Informed: Be familiar with other places on campus\, like LTSI\, which can support you in the effective and appropriate use of GenAI\n\n\n\n\nInstructor: Christian Schmidt
URL:https://ccdhhn.ca/workshop/using-generative-ai-for-student-research-2/
LOCATION:University of Victoria Libraries\, 3800 Finnerty Road\, Victoria\, British Columbia\, Canada
CATEGORIES:1-4 hour workshop
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