-
Notifications
You must be signed in to change notification settings - Fork 0
/
1
621 lines (621 loc) · 26.7 KB
/
1
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "Z7zvmrKedLgT"
},
"source": [
"# Assignment 1: Algorithms as Decision Makers \n",
"\n",
"Please rename this file, replacing <tt>YourName</tt> with your first and last name, and also write your name in the cell below: "
]
},
{
"cell_type": "raw",
"metadata": {},
"source": [
"Brynna Childs"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "xcLWlFGNdwns"
},
"source": [
"***\n",
"## Task 1: Assess User Needs\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "xcLWlFGNdwns"
},
"source": [
"*Replace the text in this cell with your answer for the first task.* \n",
"\n",
"In accessing user needs, many points about access to student needs became apparent and were influential on how one may create a housing model to best address the needs of all students such as: \n",
"\n",
" - Security of personal safety\n",
" - Healthful living conditions\n",
" - Quiet/lack of noise pollution\n",
" - Access to utilities and services \n",
" - Distance to school or work \n",
" - Access to transit \n",
" - Access to food and drink \n",
" - Access to culture (shopping centres, theatres, museums, venues)\n",
" - Potential for networking and community-building\n",
" - Communication services (high-speed internet access and international telephone services)\n",
"\n",
"A basic ranking system of common user needs cross-sectioned with societal factors that contribute to greater housing need is shown below from greatest priority to least: \n",
"\n",
"* Indigenous students\n",
"* Disabled students \n",
"* Students who have experienced homelessness or displacement currently or in the past\n",
"* Students experiencing poverty\n",
"* Queer and/or trans students \n",
"* Those who experience food instability\n",
"* Students whose parents are immigrants to Canada\n",
"* Graduate students \n",
"* Students nearing the completion of their studies\n",
"* Students who work or volunteer on campus \n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "2xwKpb_FhWaN"
},
"source": [
"***\n",
"## Task 2: Design Your Algorithm\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "2xwKpb_FhWaN"
},
"source": [
"For our algorithm, we are going to prioritize those with unmet housing needs first:\n",
"\n",
"- Question 1: *Are you Indigenous?(Yes/No):* \n",
" - Yes: +20 pts\n",
" - No: +0 pts\n",
"- Question 2: *Are you disabled?(Yes/No):*\n",
" - if Yes then add + 20 pts\n",
" - if No then add +0 pts\n",
"- Question 3: *Do you experience poverty?(Yes/No):*\n",
" - if Yes then add +10 pts\n",
" - if No then add +0 pts\n",
"- Question 4: *Are you currently experiencing or have you in recent history experienced homelessness or displacement?(Yes/No):*\n",
" - if Yes then add +10 pts\n",
" - if No then add + 0 pts\n",
"- Question 5: *Are you queer or trans?(Yes/No):* \n",
" - if Yes then add +10 pts\n",
" - if No then add +0 pts\n",
"- Question 6: *Do you experience food instability?(Yes/No):*\n",
" - if Yes then add +10 pts\n",
" - if No then add +0 pts\n",
"- Question 7: *Do you volunteer or work on campus?(Yes/No):*\n",
" - if Yes then add +10 pts\n",
" - if No then add +0 pts\n",
"- Question 8: *Are you a master's student?(Yes/No):* if Yes then add +10 pts\n",
" - if Yes: *Are you in a thesis-concentration? :* if Yes then add +5 pts\n",
" - if No: then add +0 pts \n",
"- Question 9: *Are your parents immigrants to Canada or Quebec?:*\n",
" - if Yes then add +10 pts\n",
" - if No then add +0 pts\n",
"- Question 10: *Do you have workspace outside of your residence that you readily access?:*\n",
" - if Yes then subtract -10 pts\n",
" - if No then subtract -0 pts\n",
"- Question 11: *Were you born in the city in which you reside?:*\n",
" - if Yes then subtract -10pts\n",
" - if No then subtract -0 pts \n",
"- Question 12: *How many semesters are remaining to your course of study?:*\n",
" - Subtract entered numerical value ten and add the difference to total points\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "2xwKpb_FhWaN"
},
"source": [
" "
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "8z3RY6vziDhW"
},
"source": [
"***\n",
"## Task 3: Test Your Algorithm\n",
"\n",
"### Summary of findings"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This algorithm looks to eliminate student hardship in relation to housing by prioritizing students with greatest housing need. The students least benefitted from the algorithm are those not experiencing poverty, are from the city in question and are presumed to have access to the houses of family and friends. For simplicity and the assumption that most PhD students reside off-campus, they are also not included in this exercise. \n",
"\n",
"I tested the algorithm by using the profiles of a few friends and some personas that met user profiles facing discrimination. I found the algorithm to work well in prioritizing students experiencing poverty and barriers to securing housing. I found the students that may have de-prioritizing attributes such as being from their city of residence could gain points through their engagements on campus or thesis program; therefore, it is expected that in its implementation we have created a healthy community that includes many cross-sections. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Test Cases"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "8z3RY6vziDhW"
},
"source": [
"*Replace with your answer for Task 3 (test cases). In the example text below, I have included 3 test cases. You should probably have more.* \n",
"\n",
"* Case 1\n",
" * Input: A Caucasian, able-bodied, cisgender, heterosexual graduate student in a non-thesis program who is experiencing poverty but has a source of food and an alternative work place.\n",
" * Output:\n",
"\n",
"Are you Indigenous? No\n",
"Are you disabled? No\n",
"Do you experience poverty? Yes\n",
"Are you currently experiencing or have you in recent history experienced homelessness or displacement? No\n",
"Are you queer or trans? No\n",
"Do you experience food instability? No\n",
"Do you volunteer or work on campus? No\n",
"Are you a master's student? Yes\n",
"Are you in a thesis-concentrated program? No\n",
"Are your parents immigrants to Canada or Quebec? No\n",
"Do you have workspace outside of your residence that you readily access? Yes\n",
"Were you born in the city in which you reside? Yes\n",
"Number of semesters remaining to your course of study: 2\n",
"\n",
"------YOUR HOUSING SCORE----------\n",
"Your housing points score is 8\n",
"----------------------------------\n",
"\n",
" \n",
"* Case 2\n",
" * Input: An Indigenous undergraduate from a middle class background who works on campus.\n",
" * Output: \n",
"\n",
"Are you Indigenous? Yes\n",
"Are you disabled? No\n",
"Do you experience poverty? No\n",
"Are you currently experiencing or have you in recent history experienced homelessness or displacement? No\n",
"Are you queer or trans? No\n",
"Do you experience food instability? No\n",
"Do you volunteer or work on campus? Yes\n",
"Are you a master's student? No\n",
"Are your parents immigrants to Canada or Quebec? No\n",
"Do you have workspace outside of your residence that you readily access? No\n",
"Were you born in the city in which you reside? Yes\n",
"Number of semesters remaining to your course of study: 4\n",
"\n",
"------YOUR HOUSING SCORE----------\n",
"Your housing points score is 36\n",
"----------------------------------\n",
"\n",
"\n",
"* Case 3\n",
" * Input: A houseless trans student completing a thesis without family or friends in the city where they attend school.\n",
" * Output: \n",
"\n",
"Are you Indigenous? No\n",
"Are you disabled? No\n",
"Do you experience poverty? Yes\n",
"Are you currently experiencing or have you in recent history experienced homelessness or displacement? Yes\n",
"Are you queer or trans? Yes\n",
"Do you experience food instability? Yes\n",
"Do you volunteer or work on campus? Yes\n",
"Are you a master's student? No\n",
"Are your parents immigrants to Canada or Quebec? No\n",
"Do you have workspace outside of your residence that you readily access? No\n",
"Were you born in the city in which you reside? No\n",
"Number of semesters remaining to your course of study: 7\n",
"\n",
"------YOUR HOUSING SCORE----------\n",
"Your housing points score is 53\n",
"----------------------------------\n",
"\n",
"* Case 4 \n",
" * Input: A Caucasian, able-bodied, cis-gender, heterosexual first-year undergraduate who was born in the city in which they attend school and is from an upper-middle class background.\n",
" * Output: \n",
" \n",
"Are you Indigenous? No\n",
"Are you disabled? No\n",
"Do you experience poverty? No\n",
"Are you currently experiencing or have you in recent history experienced homelessness or displacement? No\n",
"Are you queer or trans? No\n",
"Do you experience food instability? No\n",
"Do you volunteer or work on campus? No\n",
"Are you a master's student? No\n",
"Are your parents immigrants to Canada or Quebec? No\n",
"Do you have workspace outside of your residence that you readily access? Yes\n",
"Were you born in the city in which you reside? Yes\n",
"Number of semesters remaining to your course of study: 8\n",
"\n",
"------YOUR HOUSING SCORE----------\n",
"Your housing points score is -18\n",
"----------------------------------\n",
"\n",
" \n",
"* Case 5 \n",
" * Input: A two-spirit undergraduate student from a rural community who volunteers at the radio station on campus.\n",
" * Output: \n",
"\n",
"Are you Indigenous? Yes\n",
"Are you disabled? No\n",
"Do you experience poverty? Yes\n",
"Are you currently experiencing or have you in recent history experienced homelessness or displacement? Yes\n",
"Are you queer or trans? Yes\n",
"Do you experience food instability? Yes\n",
"Do you volunteer or work on campus? Yes\n",
"Are you a master's student? No\n",
"Are your parents immigrants to Canada or Quebec? No\n",
"Do you have workspace outside of your residence that you readily access? Yes\n",
"Were you born in the city in which you reside? No\n",
"Number of semesters remaining to your course of study: 2\n",
"\n",
"------YOUR HOUSING SCORE----------\n",
"Your housing points score is 58\n",
"----------------------------------\n",
"\n",
"* Case 6\n",
" * Input: A cisgender lesbian artist with studio space off campus who is well established in the city in which she resides.\n",
"\n",
"Are you Indigenous? No\n",
"Are you disabled? No\n",
"Do you experience poverty? Yes\n",
"Are you currently experiencing or have you in recent history experienced homelessness or displacement? Yes\n",
"Are you queer or trans? Yes\n",
"Do you experience food instability? Yes\n",
"Do you volunteer or work on campus? No\n",
"Are you a master's student? No\n",
"Are your parents immigrants to Canada or Quebec? No\n",
"Do you have workspace outside of your residence that you readily access? Yes\n",
"Were you born in the city in which you reside? Yes\n",
"Number of semesters remaining to your course of study: 2\n",
"\n",
"------YOUR HOUSING SCORE----------\n",
"Your housing points score is 28\n",
"----------------------------------\n",
"\n",
"\n",
"* Case 7 \n",
" * A cisgender gay man who has a brain injury and has taken a leave from employment.\n",
" \n",
"Are you Indigenous? No\n",
"Are you disabled? Yes\n",
"Do you experience poverty? Yes\n",
"Are you currently experiencing or have you in recent history experienced homelessness or displacement? No\n",
"Are you queer or trans? Yes\n",
"Do you experience food instability? Yes\n",
"Do you volunteer or work on campus? No\n",
"Are you a master's student? No\n",
"Are your parents immigrants to Canada or Quebec? No\n",
"Do you have workspace outside of your residence that you readily access? No\n",
"Were you born in the city in which you reside? Yes\n",
"Number of semesters remaining to your course of study: 2\n",
"\n",
"\n",
"------YOUR HOUSING SCORE----------\n",
"Your housing points score is 58\n",
"----------------------------------\n",
"\n",
"* Case 8 \n",
" * An autistic woman completing her thesis who is not currently employed.\n",
"\n",
"Are you Indigenous? No\n",
"Are you disabled? Yes\n",
"Do you experience poverty? Yes\n",
"Are you currently experiencing or have you in recent history experienced homelessness or displacement? No\n",
"Are you queer or trans? No\n",
"Do you experience food instability? Yes\n",
"Do you volunteer or work on campus? No\n",
"Are you a master's student? Yes\n",
"Are you in a thesis-concentrated program? Yes\n",
"Are your parents immigrants to Canada or Quebec? No\n",
"Do you have workspace outside of your residence that you readily access? No\n",
"Were you born in the city in which you reside? No\n",
"Number of semesters remaining to your course of study: 1\n",
"\n",
"------YOUR HOUSING SCORE----------\n",
"Your housing points score is 64\n",
"----------------------------------\n",
"\n",
" \n",
"* Case 9 \n",
" * An activist and community organizer who volunteers at the student union on campus, is from the city where they go to school, and whose parents were born in Hungary. \n",
"\n",
"Are you Indigenous? No\n",
"Are you disabled? No\n",
"Do you experience poverty? No\n",
"Are you currently experiencing or have you in recent history experienced homelessness or displacement? No\n",
"Are you queer or trans? No\n",
"Do you experience food instability? No\n",
"Do you volunteer or work on campus? Yes\n",
"Are you a master's student? No\n",
"Are your parents immigrants to Canada or Quebec? Yes\n",
"Do you have workspace outside of your residence that you readily access? Yes\n",
"Were you born in the city in which you reside? Yes\n",
"Number of semesters remaining to your course of study: 4\n",
"\n",
"------YOUR HOUSING SCORE----------\n",
"Your housing points score is 6\n",
"----------------------------------\n",
"\n",
"* Case 10\n",
" * A Caucasian, able-bodied, cisgender, heterosexual first-year undergraduate student who is born in the city in which they attend school and is from a working class background.\n",
"\n",
"Are you Indigenous? No\n",
"Are you disabled? No\n",
"Do you experience poverty? No\n",
"Are you currently experiencing or have you in recent history experienced homelessness or displacement? No\n",
"Are you queer or trans? No\n",
"Do you experience food instability? No\n",
"Do you volunteer or work on campus? No\n",
"Are you a master's student? No\n",
"Are your parents immigrants to Canada or Quebec? No\n",
"Do you have workspace outside of your residence that you readily access? Yes\n",
"Were you born in the city in which you reside? Yes\n",
"Number of semesters remaining to your course of study: 8\n",
"\n",
"------YOUR HOUSING SCORE----------\n",
"Your housing points score is -18\n",
"----------------------------------\n",
"\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "HskXtXm8ez4T"
},
"source": [
"***\n",
"## Task 4: Write Code to Automate Your Algorithm\n",
"\n",
"Remember to first run the starter code and make sure you understand what's happening. Then modify the code to make it follow your algorithm"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 202
},
"colab_type": "code",
"executionInfo": {
"elapsed": 15662,
"status": "ok",
"timestamp": 1579630051191,
"user": {
"displayName": "Evan Peck",
"photoUrl": "https://lh3.googleusercontent.com/a-/AAuE7mCxqtmZwdbuOZzmvr73NOsgNgzxnNCRqz5t-P4daA=s64",
"userId": "04911074708321622228"
},
"user_tz": 300
},
"id": "0H9WjBtTevTn",
"outputId": "b9417197-14e0-40e9-87a3-5cd69b9cbe43"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"-------------------------------\n",
"HOUSING SCORE CALCULATOR\n",
"-------------------------------\n",
"Please answer honestly the following questions with a 'Yes' or a 'No' to determine your total points. Question 12 is an exception, please respond with a numerical value. All information with exception of the resulting score is rendered anonymous.\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Are you Indigenous? Yes\n",
"Are you disabled? Yes\n",
"Do you experience poverty? Yes\n",
"Are you currently experiencing or have you in recent history experienced homelessness or displacement? Yes\n",
"Are you queer or trans? Yes\n",
"Do you experience food instability? Yes\n",
"Do you volunteer or work on campus? Yes\n",
"Are you a master's student? Yes\n",
"Are you in a thesis-concentrated program? Yes\n",
"Are your parents immigrants to Canada or Quebec? Yes\n",
"Do you have workspace outside of your residence that you readily access? Yes\n",
"Were you born in the city in which you reside? Yes\n",
"Number of semesters remaining to your course of study: 2\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"------YOUR HOUSING SCORE----------\n",
"Your housing points score is 103\n",
"----------------------------------\n"
]
}
],
"source": [
"# Created by: Brynna Childs at McGill University\n",
"\n",
"# A header to start the program\n",
"print(\"-------------------------------\")\n",
"print(\"HOUSING SCORE CALCULATOR\")\n",
"print(\"-------------------------------\") \n",
"\n",
"\n",
"totalPoints = 0 # Tally of the point total (score) during questions\n",
"\n",
"#The line below is an initial announcement to explain the program to the user. It also enforces honesty and anonymity.\n",
"print(\"Please answer honestly the following questions with a 'Yes' or a 'No' to determine your total points. Question 12 is an exception, please respond with a numerical value. All information with exception of the resulting score is rendered anonymous.\")\n",
"\n",
"#All questions with exceptions of Questions 8 and 12 follow this same formatting as described in first example\n",
"\n",
"questionOne = input (\"Are you Indigenous?\") #Presents a prompt for user, opens editable field \n",
"\n",
"if (questionOne == \"Yes\"): \n",
" totalPoints += 20 #Points are added to the total if answer is \"Yes\" (in this case 20 points)\n",
"else: totalPoints += 0 #No points are added if answer is \"No\"\n",
"\n",
"questionTwo = input (\"Are you disabled?\") \n",
"\n",
"if (questionTwo == \"Yes\"): \n",
" totalPoints += 20\n",
"else: totalPoints += 0\n",
"\n",
"questionThree = input (\"Do you experience poverty?\") \n",
"\n",
"if (questionThree == \"Yes\"): \n",
" totalPoints += 10\n",
"else: totalPoints += 0\n",
"\n",
"questionFour = input (\"Are you currently experiencing or have you in recent history experienced homelessness or displacement?\")\n",
" \n",
"if (questionFour == \"Yes\"): \n",
" totalPoints += 10\n",
"else: totalPoints += 0\n",
" \n",
"questionFive = input (\"Are you queer or trans?\") \n",
"\n",
"if (questionFive == \"Yes\"): \n",
" totalPoints += 10\n",
"else: totalPoints += 0\n",
"\n",
"questionSix = input (\"Do you experience food instability?\") \n",
"\n",
"if (questionSix == \"Yes\"): \n",
" totalPoints += 10\n",
"else: totalPoints += 0\n",
"\n",
"questionSeven = input (\"Do you volunteer or work on campus?\") \n",
"\n",
"if (questionSeven == \"Yes\"): \n",
" totalPoints += 10\n",
"else: totalPoints += 0\n",
"\n",
" \n",
"questionEight = input (\"Are you a master's student?\") #Priority is given to graduate students especially those completing a thesis\n",
"\n",
"if (questionEight == \"Yes\"): #10 points are added if graduate student\n",
" totalPoints += 10\n",
" if (questionEight == \"Yes\"):\n",
" thesis = input (\"Are you in a thesis-concentrated program?\") # 5 additional points are added if in thesis program\n",
" if (thesis == \"Yes\"): \n",
" totalPoints += 5 \n",
"else: totalPoints += 0 #No points are added for undergraduate students\n",
" \n",
" \n",
"questionNine = input (\"Are your parents immigrants to Canada or Quebec?\") \n",
"\n",
"if (questionNine == \"Yes\"): \n",
" totalPoints += 10\n",
"else: totalPoints += 0\n",
"\n",
"questionTen = input (\"Do you have workspace outside of your residence that you readily access?\") \n",
"\n",
"if (questionTen == \"Yes\"): \n",
" totalPoints -= 10 #Points are subtracted for students who have alternative access to space\n",
"else: totalPoints -= 0\n",
" \n",
" \n",
"questionEleven = input (\"Were you born in the city in which you reside?\") \n",
"\n",
"if (questionTen == \"Yes\"): \n",
" totalPoints -= 10 #Points are subtracted for students who live in their city of birth\n",
"else: totalPoints -= 0 \n",
"\n",
" \n",
"questionTwelve = input (\"Number of semesters remaining to your course of study:\")\n",
"totalPoints += 10 - int(questionTwelve) #int() object converts string to integer, number of remaining semesters are subtracted from ten and added to total \n",
" \n",
"print()\n",
"print(\"------YOUR HOUSING SCORE----------\")\n",
"print(\"Your housing points score is\", totalPoints) #At the end of the program this code announces to total score to the user \n",
"print(\"----------------------------------\")\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "VimdCdQhmuoY"
},
"source": [
"***\n",
"## Task 5: Test Your Assumptions"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The algorithm would undoubtedly be more accurate if all (or many) socio-economic groups were better represented; however, for the purpose of this experiment, I have decided to choose Indigenous students as representative of those facing the greatest racial discrimination and likewise trans/queer students as those facing greatest gender discrimination which is otherwise unaddressed. A revision would account for many more student profiles, to prevent students with different backgrounds but similar circumstances from scoring the same (as is illustrated by Cases 4 and 10). Anonymousness is important for this algorithm to be accurate, as many may be unlikely to divulge personal details that may be professionally jeopardizing due to stigmatization.\n",
"\n",
"Another inaccuracy exists in understanding who is at greatest need, and what constitutes that need. In reflection with another student during the planning phase, they had made the decision not to prioritize queer students \"just because they are queer,\" insinuating to do so was in-itself a discrimination, which is valid in that I imagine some may be taken aback with such frank questioning. However, they did so without an understanding of the disproportionate frequency that LGBTQIA+ youth are underhoused, and the likelihood that if underhoused as youth, they are more likely to experience displacement as adults. \n",
"\n",
"In some regard this algorithm is designed to bring to the forefront connections between social demographic and this risk. Nonconcurrent to this sentiment, especially on university campuses, there are many exceptions to distinctions of class, access, and status. Two represented examples of operating outside of class or racial distinction are Case 2, an Indigenous students from an urban center that does not experience the poverty impacting many rural Indigenous populations, and Case 1, a student whose poverty is implied to be the result of his educational costs. The intention with this short list of questions was to hint at intersections and consider that it is within these exceptions and overlap that the efficiency of the algorithm becomes most apparent, as is clearly shown in the results. \n",
"\n",
"To reduce bias, I included also some more normative systems of determining seniority, such as number of semesters remaining in the program, to give priority to students finishing their studies and to make the algorithm \"fairer\" as to not over-privilege those facing discriminations. Overall, the algorithm is effective in its' current form which is intended to be as concise yet representative of as many student populations as possible. The algorithm functions both to ensure the fulfillment of universal needs, such as access to food and functional workspace, for all students, while presenting a clear and intentional bias toward vulnerable populations that historically do not as easily secure safe and affordable housing."
]
}
],
"metadata": {
"colab": {
"collapsed_sections": [],
"name": "conditionals_report_demo.ipynb",
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}