1 / 12

Research Lifecycle

Research Lifecycle. Computer Science Research Practicum Fall 2012 Andrew Rosenberg. Biological Lifecycle. Birth Adolescence Maturity Procreation Death. Research Lifecycle. Birth – A new idea is proposed Adolescence – The idea is tested and refined.

ledell
Télécharger la présentation

Research Lifecycle

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Research Lifecycle Computer Science Research Practicum Fall 2012 Andrew Rosenberg

  2. Biological Lifecycle • Birth • Adolescence • Maturity • Procreation • Death

  3. Research Lifecycle • Birth – A new idea is proposed • Adolescence – The idea is tested and refined. • Maturity – The idea enters “common knowledge” • Procreation – The idea spawns new ideas. • Death – The idea is replaced by new ideas. • Do ideas ever really die?

  4. Major Steps in Research • Literature Review • Proposal • Development • Evaluation • Reporting • Publication • Presentation

  5. Literature Review • Increase knowledge and understanding of the current state of the art. • Read previously published studies and hypotheses. • In additional to traditional publications, blog posts and arxiv style self-publishing can be a useful source of information.

  6. Proposal • Advisors, funders, colleagues and instructors use research proposals to communicate and assess research ideas. • What are you going to do? • Motivate the research question. • Motivate your answer.

  7. Development • Execute the experiment. • Write code that implements your idea. • Develop a written proof of your theory. • How good does your code need to be?

  8. Evaluation • How do you know that your idea is working? • Objectivity • Empiricism • Reproducibility • Baselines • Statistical Significance.

  9. Reporting • Share your research findings with other people through written reports. • Motivate the problem • Contextualize with previous work • Describe the approach • Discuss the contribution • Future implications.

  10. Reporting • Reproducibility • How does Open-source software fit?

  11. Publication • Journal Articles • Conference Publications • Workshops • Technical Reports • “Self-publishing” • Peer-review. • Blind, double-blind

  12. Presentation • Oral Presentations • 20-60 minutes. • Currently, there is an expectation of slides • PowerPoint, Keynote, Blender (latex) • Poster Presentations • Sessions can last between 1.5-4hrs. • Design a 3’x4’ poster that contains research material

More Related