Striking the Perfect Balance

You've put in the work. You've analyzed the data. Now, you are ready to share your findings. Communicating your research accurately while ensuring it is accessible and understandable by the audiences that can use this knowledge to better effect positive change. This can feel like carefully walking a tightrope, where you must effectively balance complexity and simplicity to convey your work. Let’s explore how generative artificial intelligence (GenAI) can help achieve that balance, ensuring your research reaches and resonates with a diverse audience.

Translating and Sharing

Research projects generate extensive data and analyses that need to be presented in such a way that audiences beyond academia understand the knowledge. Presenting complex information without oversimplifying or losing scientific integrity is a unique skill. Advances in artificial intelligence, GenAI, provide solutions to this challenge.

GenAI uses advanced algorithms and deep learning to analyze complex datasets and highlight key points for communication. By creating concise summaries and contextual explanations, GenAI helps researchers balance depth and clarity.

The Tools

AI tools make scientific literature more accessible. For instance, Semantic Scholar uses natural language processing to summarize computer science papers. AI tools like ChatGPT (the front runner in GenAI at the time of this writing), IBM Watson Discovery (built for business), Scite.AI (an AI research partner), Iris.AI (the researcher workspace), Sharly (AI summarization tool), and Scholarcy (summarize, analyze, and organize your research) use machine learning and advanced algorithms to extract essential information from research papers.

?Check out this list of over 100 GenAI-powered tools and find ones that will help you bridge the divide between your knowledge and those who can use it to effect real change.

Be aware that these are tools to enhance the work you do. Please rigorously edit the outputs you get before you claim them as your own. GenAI can hallucinate and give you information that is not true. ALWAYS do a detailed fact check.

The Impact

The impact of AI in making complex information more accessible is evident in education, where machine learning algorithms highlight key concepts in texts and predict student retention. Similarly, in healthcare, AI algorithms can quickly sift through vast amounts of medical literature to identify crucial findings and treatment guidelines, helping professionals stay current with the latest advancements. In finance, AI-driven systems analyze market data and financial reports, providing investors with clear, actionable insights to make informed decisions.?You can harness this power to help you communicate your research.

Clear and concise presentation of research findings can maximize impact and drive positive societal change. Leveraging GenAI allows us to communicate research with precision and impact.

Don't forget to sign up for KM in the AM (Saskatchewan) at https://eepurl.com/h8orwH to stay updated on the latest trends in knowledge mobilization.

Knowledge Nugget: Use GenAI to condense complex information into clear summaries, balancing depth and clarity in research communication.

Sources:

Acorn. “AI for Summarizing Articles: How It Works & 10 Tools You Can Use.” Acorn, 3 June 2024, https://www.acorn.io/resources/learning-center/ai-for-summarizing-articles.?

“AI Document Summarization.” IBM, https://www.ibm.com/architectures/hybrid/genai-document-summarization. Accessed 10 June 2024.

FSC Editors and Writers. “Conveying Complex Ideas: Improving Clarity in Scientific Writing.” Falcon Scientific Editing, 3 Sept. 2023, https://falconediting.com/en/blog/conveying-complex-ideas-improving-clarity-in-scientific-writing/.?

Jamie Smith, L&D Specialist. “The Art Of Simplicity: Making Scientific Concepts Easy To Grasp | Learnexus.” Learnexus, Feb. 2024, https://learnexus.com/blog/scientific-concepts-made-easy/.?

KM in the AM. “KM in the AM (Saskatchewan).” Facebook, https://www.facebook.com/KMintheAM/. Accessed 10 June 2024.

Nicolaos Giarelis, et al. “Abstractive vs. Extractive Summarization: An Experimental Review.” Applied Sciences, vol. 13, no. 13, June 2023, https://doi.org/10.3390/app13137620.?

Rosa Merced. “GenAI and Data Summarization: Use Cases of GenAI for Data Analytics.” Outshift by Cisco, 30 Apr. 2024, https://outshift.com/blog/genai-data-summarization-analytics.?

Zara Ersozlu, et al. A Review of Machine Learning Methods Used for Educational Data | Education and Information Technologies. https://link.springer.com/article/10.1007/s10639-024-12704-0. Accessed 10 June 2024.