Future Research and Limitations Discussion

1. Think back on the research questions and their answers. What are some aspects of these questions that could benefit from further studies? Be specific in your answers! (3-5 sentences)

2. What were some of the limitations of your research? i.e., what were the constraints in terms of how much data you collected, the type of data, etc., that may have impacted your results and conclusions? How might you overcome these limitations in the future with more research? (3-5 sentences)

3. Do you have any general questions at this time that you’d like me to address? If so, please discuss your questions here, so that we can work through them. (use as much or as little space as you need)

PART-5:

This week, you will share your second and final Capstone Project Update. This presentation should consist of:

1. An introduction/title slide (1 slide)

2. A background/motivation slide (can include relevant literature review) (1 slide)

3. A slide describing your research questions (1 slide)

4. Slides describing your data collection and analysis (3-4 slides) this is the “meat” of your presentation!

5. A conclusions slide (answering your research questions) (1 slide)

6. A next-steps/recommendations slide (1 slide)

Read the following 2020 article by Murray Gray on  and discuss the following in your initial post: 

1. What are the three most important takeaways that you learned from reading this article? Rank them and explain your reasoning.,
2. Explain what a (research) zombie is in your own words. 
3. What do you think is the most important thing that you (or other engineers) can do in the future to avoid creating zombies?

For experimental research to offer valuable insights and predictions, its results and interpretation need to be properly validated. When the experiments deal with complex systems, such as biological materials, multicomponent mixtures, or mul-tiple phases, the use of the rigorous scientific method is essential. Setting and test-ing hypotheses and design of experimental programs to include formal positive and negative experiments helps to identify artefacts and to minimize the influ-ence of the biases of the investigators that can invalidate the results of studies.

The literature has many examples of well-executed studies, but there is much less discussion of the pitfalls and traps that can beset experimental research. This paper presents cases in the area of chemical reaction engineering and biochemi-cal engineering. Experimental designs are presented that were successful in vali-dating results by using positive and negative controls.APA