Research Week 2024

Data Vitz Camp

1

Theme:
Show More and Tell Less: Graphical Abstracts for a Wider Impact

Resource Person :
Dr. Sandun Dasanayake, Senior Lecturer, Department of Decision Sciences, Faculty of Business, University of Moratuwa

Synopsis:

Graphical abstracts are paramount in today's academic landscape, where attention spans are shrinking. A graphical abstract is a succinct, visual summary of your research, designed to quickly convey a paper's core findings, methodologies, or conclusions. These visual representations enhance accessibility, increase visibility, and engage a broader audience beyond the academic sphere. This workshop aims to impart the thinking process in developing effective and compelling graphical abstracts that communicate research findings efficiently to specialists and non-specialists, ensuring your work has a wider impact.

During this interactive session, you will be actively involved in the following steps:
- Identifying the Core Message of Your Research: Learn how to distill your research into a single, clear, and compelling visual message that serves as the foundation of your graphical abstract.
- Choosing the Optimal Layout: Explore different layout structures—linear, modular, and central focus—to organize your abstract to maximize clarity and visual flow.
- Selecting the Right Tools: Discover the most effective tools for creating professional graphical abstracts, including Inkscape, Canva, and PowerPoint, based on your design expertise.
- Minimizing Text for Maximum Impact
- Ensuring Simplicity and Clarity in Data Visualization: Learn best practices for incorporating data visualizations into your abstract, ensuring that charts, graphs, and figures effectively communicate your research findings without overwhelming the viewer.
- Engaging a Broader Audience: Understand how graphical abstracts can improve the accessibility and visibility of your research on digital platforms and social media, extending its reach beyond traditional academic circles.

Date : 4th Dec 2024

Time: 9.00 a.m to 12.00 noon

For more information
Contact person: Dr. Nayani Gunawardhana, nayanig@uom.lk

ACADEMIC WRITING

2

Theme : “Navigating Generative AI in Academic Writing: Potential and Pitfalls”

A discussion on the basic elements in academic writing, planning, writing and revising process, effective use of figures and tables and their captions and concluding with the widely accepted guidelines on using GenAI in Academic writing.