The challenge I have applied the design thinking tool Visualization to is social equity issues in   my hometown of Chicago . Recently , I was given the task of identifying the root issues of the   inequity in the city and subsequently , conjuring a technology - driven solution . There is a plethora   of studies on the root causes of inequity available , so interpreting it all seemed to be a Herculean   task . I decided it would be easier to draw conclusions from the data if I were able to see it   visually . I grouped out several different categories of data related to inequity , such as the   unemployment rate , graduation rate , and life expectancy in the respective communities .      What particularly stood out to me were the reports of the lower graduation rates , in some 

 instances there were gaps as large as 15 % between Black and White communities . It had seemed   that using Visualization had helped me find my culprit . Further research led me to find that those   without a GED have much lower chances at employment and higher rates of poverty than those   with one . I deduced that this higher rate of poverty consequently led to the lack of health care   and lower life expectancy . After using simple graphing programs with the data , I saw that the   funding for schools in majority Black and Brown communities was significantly lower than   funding in majority white neighborhoods . This gap in funding could possibly be the reason for   the gap in graduation rates .      This led me take a different approach in the Visualization tool , and look at anecdotal data 

 from students in these underfunded schools . Along with stories I was able to find online of the   lack of resources due to the under funding , I was actually able to talk to a teacher and her   colleagues at one of these underfunded schools . She confirmed what I had suspected , the lack of   funding and resources made her job especially difficult . She informed me that often she and her   colleagues would have to spend money out of their own pockets for resources for their   classrooms . Due to Visualization , I was able to find one of the main causes of inequity in my   city , however , my task was not yet complete .     The second part to my assignment , coming up with a technologically driven solution to 

 the inequity , seemed daunting to say the least . Using Visualization yet again , I asked the teacher   and her colleagues to write their biggest need on notecards and give them to me . I then grouped   them by topic and found that the largest group of needs was access to more learning resources to   diversify their lesson plans . With lack of learning resources being the biggest complaint , and the   massive expanse of learning resources called the Internet being the considered technology , I had   finally found the solution to my problem . I concluded that my solution would need to be a simple   and effective way of integrating learning softwares into the classrooms and lesson plans . Without   the insight gained from the Visualization tool , I would ’ve never been able to narrow down the   massive concept of inequity into manageable quantitative data points and an apparent cause to   them .     My next steps will include prototyping and conducting several learning launches to find 

 what works best for both the students and the teachers . By conducting these learning launches I   will be able find out whether a smart board approach or a tablet approach will be more effective .   Without the tools I learned in the Design Thinking course , I would ’ve never been able to get this   far in the process of this task . 


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: The challenge I have applied the design thinking tool Visualization to is social equity issues in   my hometown of Chicago . Recently , I was given the task of identifying the root issues of the   inequity in the city and subsequently , conjuring a technology - driven solution . There is a plethora   of studies on the root causes of inequity available , so interpreting it all seemed to be a Herculean   task . I decided it would be easier to draw conclusions from the data if I were able to see it   visually . I grouped out several different categories of data related to inequity , such as the   unemployment rate , graduation rate , and life expectancy in the respective communities .      What particularly stood out to me were the reports of the lower graduation rates , in some 

 instances there were gaps as large as 15 % between Black and White communities . It had seemed   that using Visualization had helped me find my culprit . Further research led me to find that those   without a GED have much lower chances at employment and higher rates of poverty than those   with one . I deduced that this higher rate of poverty consequently led to the lack of health care   and lower life expectancy . After using simple graphing programs with the data , I saw that the   funding for schools in majority Black and Brown communities was significantly lower than   funding in majority white neighborhoods . This gap in funding could possibly be the reason for   the gap in graduation rates .      This led me take a different approach in the Visualization tool , and look at anecdotal data 

 from students in these underfunded schools . Along with stories I was able to find online of the   lack of resources due to the under funding , I was actually able to talk to a teacher and her   colleagues at one of these underfunded schools . She confirmed what I had suspected , the lack of   funding and resources made her job especially difficult . She informed me that often she and her   colleagues would have to spend money out of their own pockets for resources for their   classrooms . Due to Visualization , I was able to find one of the main causes of inequity in my   city , however , my task was not yet complete .     The second part to my assignment , coming up with a technologically driven solution to 

 the inequity , seemed daunting to say the least . Using Visualization yet again , I asked the teacher   and her colleagues to write their biggest need on notecards and give them to me . I then grouped   them by topic and found that the largest group of needs was access to more learning resources to   diversify their lesson plans . With lack of learning resources being the biggest complaint , and the   massive expanse of learning resources called the Internet being the considered technology , I had   finally found the solution to my problem . I concluded that my solution would need to be a simple   and effective way of integrating learning softwares into the classrooms and lesson plans . Without   the insight gained from the Visualization tool , I would ’ve never been able to narrow down the   massive concept of inequity into manageable quantitative data points and an apparent cause to   them .     My next steps will include prototyping and conducting several learning launches to find 

 what works best for both the students and the teachers . By conducting these learning launches I   will be able find out whether a smart board approach or a tablet approach will be more effective .   Without the tools I learned in the Design Thinking course , I would ’ve never been able to get this   far in the process of this task .
### Output: 