What tools and techniques do you use to present algorithm research results?

1 Visualize your data

One of the most powerful ways to present algorithm research results is to use data visualization. Data visualization is the process of creating graphical representations of data, such as charts, graphs, maps, or diagrams. Data visualization can help you to illustrate your algorithm's performance, compare different algorithms, show trends and patterns, and highlight key insights. Data visualization can also make your results more engaging and accessible to your audience, especially if they are not familiar with the technical details of your algorithm. Some of the popular tools for data visualization are matplotlib, seaborn, plotly, ggplot2, and Tableau.

2 Explain your code

Another way to present algorithm research results is to explain your code. Code is the core of your algorithm, and it shows how you implemented your logic, design, and optimization. Explaining your code can help you to demonstrate your algorithm's functionality, correctness, and efficiency. It can also help you to share your code with other researchers or developers, who can learn from your approach, reuse your code, or extend your algorithm. Some of the techniques for explaining your code are commenting, documenting, annotating, and using code snippets or notebooks. Some of the tools for explaining your code are Sphinx, Doxygen, Jupyter, and Colab.

3 Showcase your results

A third way to present algorithm research results is to showcase your results. Showcasing your results means displaying the output or the impact of your algorithm in a concrete and meaningful way. For example, if your algorithm is for image processing, you can show the original and processed images side by side. If your algorithm is for natural language processing, you can show the input and output texts or speech. If your algorithm is for machine learning, you can show the accuracy, precision, recall, or other metrics of your model. Showcasing your results can help you to convey the value and the relevance of your algorithm to your audience, and to elicit feedback or suggestions. Some of the tools for showcasing your results are HTML, CSS, JavaScript, Dash, or Shiny.

4 Tell a story

A fourth way to present algorithm research results is to tell a story. Telling a story means organizing your results in a logical and coherent way, with a clear beginning, middle, and end. Telling a story can help you to capture your audience's attention, interest, and curiosity, and to guide them through your research process, challenges, and solutions. Telling a story can also help you to connect your results with the bigger picture, such as the problem statement, the research question, the literature review, the implications, or the future work. Some of the techniques for telling a story are using an outline, a hook, a narrative arc, a theme, or a takeaway. Some of the tools for telling a story are PowerPoint, Keynote, Prezi, or Medium.

5 Use examples and analogies

A fifth way to present algorithm research results is to use examples and analogies. Examples and analogies are ways of explaining complex or abstract concepts using simple or familiar terms. Examples and analogies can help you to make your results more understandable and relatable to your audience, especially if they have different backgrounds, levels, or interests. Examples and analogies can also help you to illustrate your results in a more concrete and vivid way, and to highlight the key points or the main ideas. Some of the techniques for using examples and analogies are using real-world scenarios, case studies, metaphors, similes, or comparisons. Some of the tools for using examples and analogies are images, videos, animations, or interactive demos.

6 Get feedback and improve

A sixth way to present algorithm research results is to get feedback and improve. Getting feedback means soliciting opinions, comments, questions, or suggestions from your audience, peers, mentors, or reviewers. Getting feedback can help you to evaluate your results, identify strengths and weaknesses, and discover new perspectives or insights. Getting feedback can also help you to improve your results, by correcting errors, clarifying doubts, refining arguments, or adding value. Some of the techniques for getting feedback are asking open-ended questions, inviting critiques, conducting surveys, or using peer review. Some of the tools for getting feedback are email, online forums, social media, or platforms like ResearchGate or arXiv.

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?