Reflection - Visualization 

 Challenge & Selection      The tool I chose was visualization due to the major impact it has helped me with throughout my   military career .   It was not that long ago that I was had the challenge of having to go brief   higher - ranking officers on ideas I had within the innovation realm ; to try and improve concepts   and pre - existing structures within the military .   The only way I was able to show what I believed   to be a great idea , was by a 3 - Dimensional proof of concept .      I had an idea of showing correlated - variables in vehicles that would become inoperable , by   collecting enough data and averaging / quantifying the causes for a vehicle to become   inoperable .   I was trying to pitch to this panel of judges that we need to develop a computer   program that can accumulate variables , spit out what these variables combined will do to your   vehicle , and you use this to forecast when to purchase vehicle parts .   In order to show exactly   why a program would be required , I needed to think of a way to first visually show that vehicles   become broken / deadlined repeatedly when specific variables arose , and I needed to show that   multiple variables showing up can be directly correlated to when we found specific parts on the   vehicles being broken or unserviceable .   Explaining this in just words , like I will try to in the   application section , shows exactly why a 3 - D proof of concept is required .       Application      As you can imagine , there are hundreds of thousands of variables that can be stand - alone and   cause a vehicle to die , or can be grouped together in order for the vehicle to die .   I aimed at   creating a visual tool to show what I was talking about in front of this board of high - ranking   officers , and succeeded by making a 3 - D cube made of plexiglass .   The had labels on the sides   of it that described general issues that could affect vehicle health , and then pieces of string   connected all around the sides , with different , more specific issues being labeled .    A white   bead , labeled with a number , will connect multiple pieces of string , showing how multiple   variables equal a specific part of the vehicle breaking and needing replacement .   Then there   would be an index of numbers for the beads in the cube , and would correlate to what part   required purchasing and replacement before the variables broke that specific part .     When I stood in front of the panel of service members that judged my idea , the cube did a   wonderful thing ; it drew their attention not to fancy words I was saying , but the exact problem .   I   literally threw the problem in their face , and everyone in the room immediately knew what I was   talking about .   I had service members   with 26 years of experience in the room look at the cube   and say “ Wow , I wish we had that in Iraq back in ‘ 06 ” , as I had shown them a new concept not   yet developed in the US military .   They immediately understood how important data collection   on something as simple as driving was .   As I turned the cube around all of its sides , I was able   to show that you can collect data and begin to correlate a vehicle driving at 25 mph on a windy 

 day , in the rain , over rocks for a quarter mile , while going downhill with the vehicle in low - drive ,   and that the vehicle also needed a new transmission three days later .   This was I was striving to   describe in words , but had difficulty in , and using the visualization tool helped me in succeeding .     Insight & Approach      My insight into using the visualization was very positive .   I was able to reach the “ customer   basis ” and get everyone on the same page and agree with the idea .   Doing it over , however , I   would have done a test - trial on my own and brought hard evidence that this method worked .   I   stood in front of the panel pitching a brand new idea , essentially with no hard facts that it would   work , even though theoretically it would .   In my line of work , however , hard facts win over theory   any time the two are compared .   I would say that using a combination of evidence with   scaled - down theory would have proven more effective , and more financial obligations would   have been given to my concept for further research .      For further approaches into this concept , I will definitely be using the after - actions gained from   my insights , and use a combination of hard , tested evidence that my theory will work , and then   the 3 - D proof of concept into the theory to visualize what my data actually represents .   I believe   that others in the room who maybe still struggle believing that this concept of correlated   variables affecting vehicle health will be able to see that this is a real issue with the evidence I   bring , and then visualize the underlying problem with the visualization tool I provide . 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: Reflection - Visualization 

 Challenge & Selection      The tool I chose was visualization due to the major impact it has helped me with throughout my   military career .   It was not that long ago that I was had the challenge of having to go brief   higher - ranking officers on ideas I had within the innovation realm ; to try and improve concepts   and pre - existing structures within the military .   The only way I was able to show what I believed   to be a great idea , was by a 3 - Dimensional proof of concept .      I had an idea of showing correlated - variables in vehicles that would become inoperable , by   collecting enough data and averaging / quantifying the causes for a vehicle to become   inoperable .   I was trying to pitch to this panel of judges that we need to develop a computer   program that can accumulate variables , spit out what these variables combined will do to your   vehicle , and you use this to forecast when to purchase vehicle parts .   In order to show exactly   why a program would be required , I needed to think of a way to first visually show that vehicles   become broken / deadlined repeatedly when specific variables arose , and I needed to show that   multiple variables showing up can be directly correlated to when we found specific parts on the   vehicles being broken or unserviceable .   Explaining this in just words , like I will try to in the   application section , shows exactly why a 3 - D proof of concept is required .       Application      As you can imagine , there are hundreds of thousands of variables that can be stand - alone and   cause a vehicle to die , or can be grouped together in order for the vehicle to die .   I aimed at   creating a visual tool to show what I was talking about in front of this board of high - ranking   officers , and succeeded by making a 3 - D cube made of plexiglass .   The had labels on the sides   of it that described general issues that could affect vehicle health , and then pieces of string   connected all around the sides , with different , more specific issues being labeled .    A white   bead , labeled with a number , will connect multiple pieces of string , showing how multiple   variables equal a specific part of the vehicle breaking and needing replacement .   Then there   would be an index of numbers for the beads in the cube , and would correlate to what part   required purchasing and replacement before the variables broke that specific part .     When I stood in front of the panel of service members that judged my idea , the cube did a   wonderful thing ; it drew their attention not to fancy words I was saying , but the exact problem .   I   literally threw the problem in their face , and everyone in the room immediately knew what I was   talking about .   I had service members   with 26 years of experience in the room look at the cube   and say “ Wow , I wish we had that in Iraq back in ‘ 06 ” , as I had shown them a new concept not   yet developed in the US military .   They immediately understood how important data collection   on something as simple as driving was .   As I turned the cube around all of its sides , I was able   to show that you can collect data and begin to correlate a vehicle driving at 25 mph on a windy 

 day , in the rain , over rocks for a quarter mile , while going downhill with the vehicle in low - drive ,   and that the vehicle also needed a new transmission three days later .   This was I was striving to   describe in words , but had difficulty in , and using the visualization tool helped me in succeeding .     Insight & Approach      My insight into using the visualization was very positive .   I was able to reach the “ customer   basis ” and get everyone on the same page and agree with the idea .   Doing it over , however , I   would have done a test - trial on my own and brought hard evidence that this method worked .   I   stood in front of the panel pitching a brand new idea , essentially with no hard facts that it would   work , even though theoretically it would .   In my line of work , however , hard facts win over theory   any time the two are compared .   I would say that using a combination of evidence with   scaled - down theory would have proven more effective , and more financial obligations would   have been given to my concept for further research .      For further approaches into this concept , I will definitely be using the after - actions gained from   my insights , and use a combination of hard , tested evidence that my theory will work , and then   the 3 - D proof of concept into the theory to visualize what my data actually represents .   I believe   that others in the room who maybe still struggle believing that this concept of correlated   variables affecting vehicle health will be able to see that this is a real issue with the evidence I   bring , and then visualize the underlying problem with the visualization tool I provide .
### Output: 