Yimi’s Presentation was insightful and helped me reflect on a  project  I’ve worked on and how I would have adjusted some of the questions to make them easy for someone to answer and increase the amount of participation or the quality of the results of  the survey.  She discouraged the use of questions that were open-ended as they tend to lead participants to produce lower quality answers or participants would not answer at all. She recommended multiple choice questions and have participants choose between the one that as closely resembles the answer that they might have as it can help increase participation. She also touches on the nature of a question and how we might be introducing bias just in the way or the form we ask a question and to be aware of the basis we might introduce and account or adjust for that. She explained that as it’s difficult to make a completely unbiased survey so the most effective way is to be self aware of that bais and adjust accordingly so that we produce higher quality data. We can use these practices and review our current survey with them in mind but that potentially would diminish the data that we have already collected as they potentially may now be answering different sets of questions. We could develop ways to extract the data that we need and adjust the survey for continued use. 

The second chapter of “Design for Information” was highly informative. It explored the concepts of networks that are ingrained into our daily lives; examples outlined in the chapter are power grids, transportation systems, metabolic systems, and social networks. It displayed common types of network layouts like linear forced direct circular and so on. This information I found more useful in identifying the types of network layouts and understanding how we visualize these networks. Network science, as mentioned in the textbook ( 2013 ) , is a recent field of study. It helps us to better comprehend the intricate patterns and interconnections present in the real world. This understanding proves invaluable in structuring the vast quantities of data we’re amassing in our modern age of computers. I really like to see more current context on the subject of network science that have been more thoroughly researched in the last decade of rapid expansion of technology in many fields that could accompany this textbook chapter.