Some people feel that there is an urgent need of female in the field of science and technology. Do you agree with the statement? Explain your reasons with examples.
Diversity plays an important role in the improvement of science and technology. Facts and figures say that there is a huge gender imbalance in the research, especially in science and technology and this really matters a lot. I believe there should be more women in the field of science and technology. I feel this way for several reasons which I will explore in this essay.
To begin with, Scientific research is more accurate when gender is considered. There is no doubt that men are capable to do well in any field and produce good scientific data. However, women have a unique nature to see things and that is very crucial in research to have different opinions. For example, if there is research going on environmental issues, a woman can have very different approaches to deal with the issue. Moreover, Dr. Vera Regitz-Zagrosek ( a famous researcher ) explained it by giving a heart disease scenario. He asserts that heart disease symptoms can have very different in men and women, and also women can respond to it very differently than men.
Similarly, Another leading proponent of gender in science is Prof. Londa Schiebinger of Stanford University, who gives the term “gendered innovations” to describe scientific discoveries enabled by including women as research subjects or by considering gender as a factor in the research. For example, artificial intelligence and machine learning have become a revolution in the field of science and technology. Fifteen percent of women are working in this field, if we want to avoid the bias then there should be more females writing the algorithm.
To sum up, gender balance is an important facet of scientific research, hence I feel that there should be more women working in the science and technology not just to improve the accuracy of the data but also to remove the bias in the artificial intelligence and machine learning field.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2019-11-05 | Kumari Soni | 70 | view |
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- Summarize the points made in the lecture you just heard, explaining how they cast doubt on points made in the reading.In 1939, David O Selznick produced a film of Margaret Mitchell’s Pulitzer Prize winning novel, Gone with the Wind. The movie proved to 75
Grammar and spelling errors:
Line 7, column 458, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ssue. Moreover, Dr. Vera Regitz-Zagrosek a famous researcher explained it by giv...
^^^
Line 7, column 480, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ra Regitz-Zagrosek a famous researcher explained it by giving a heart disease s...
^^
Line 11, column 357, Rule ID: AFFORD_VB[1]
Message: This verb is used with the infinitive: 'to have'
Suggestion: to have
...icial intelligence and machine learning have become a revolution in the field of sc...
^^^^
Line 11, column 370, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...gence and machine learning have become a revolution in the field of science and t...
^^
Line 15, column 80, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...nt facet of scientific research, hence I feel that there should be more women wor...
^^
Line 15, column 282, Rule ID: AFFORD_VB[1]
Message: This verb is used with the infinitive: 'to field'
Suggestion: to field
...icial intelligence and machine learning field.
^^^^^
Transition Words or Phrases used:
also, but, hence, however, if, moreover, really, similarly, so, then, well, for example, i feel, no doubt, to begin with, to sum up
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 13.0 15.1003584229 86% => OK
Auxiliary verbs: 7.0 9.8082437276 71% => OK
Conjunction : 15.0 13.8261648746 108% => OK
Relative clauses : 8.0 11.0286738351 73% => More relative clauses wanted.
Pronoun: 17.0 43.0788530466 39% => OK
Preposition: 41.0 52.1666666667 79% => OK
Nominalization: 12.0 8.0752688172 149% => OK
Performance on vocabulary words:
No of characters: 1599.0 1977.66487455 81% => OK
No of words: 313.0 407.700716846 77% => More content wanted.
Chars per words: 5.10862619808 4.8611393121 105% => OK
Fourth root words length: 4.20616286096 4.48103885553 94% => OK
Word Length SD: 2.9455552215 2.67179642975 110% => OK
Unique words: 163.0 212.727598566 77% => More unique words wanted.
Unique words percentage: 0.520766773163 0.524837075471 99% => OK
syllable_count: 509.4 618.680645161 82% => OK
avg_syllables_per_word: 1.6 1.51630824373 106% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 3.0 9.59856630824 31% => OK
Article: 1.0 3.08781362007 32% => OK
Subordination: 2.0 3.51792114695 57% => OK
Conjunction: 1.0 1.86738351254 54% => OK
Preposition: 3.0 4.94265232975 61% => OK
Performance on sentences:
How many sentences: 15.0 20.6003584229 73% => Need more sentences. Double check the format of sentences, make sure there is a space between two sentences, or have enough periods. And also check the lengths of sentences, maybe they are too long.
Sentence length: 20.0 20.1344086022 99% => OK
Sentence length SD: 59.1520075737 48.9658058833 121% => OK
Chars per sentence: 106.6 100.406767564 106% => OK
Words per sentence: 20.8666666667 20.6045352989 101% => OK
Discourse Markers: 8.73333333333 5.45110844103 160% => OK
Paragraphs: 4.0 4.53405017921 88% => OK
Language errors: 6.0 5.5376344086 108% => OK
Sentences with positive sentiment : 6.0 11.8709677419 51% => More positive sentences wanted.
Sentences with negative sentiment : 1.0 3.85842293907 26% => More negative sentences wanted.
Sentences with neutral sentiment: 8.0 4.88709677419 164% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.150709421586 0.236089414692 64% => OK
Sentence topic coherence: 0.0585762232576 0.076458572812 77% => OK
Sentence topic coherence SD: 0.0415129257602 0.0737576698707 56% => OK
Paragraph topic coherence: 0.0972551416154 0.150856017488 64% => OK
Paragraph topic coherence SD: 0.0329456295484 0.0645574589148 51% => OK
Essay readability:
automated_readability_index: 13.1 11.7677419355 111% => OK
flesch_reading_ease: 51.18 58.1214874552 88% => OK
smog_index: 8.8 6.10430107527 144% => OK
flesch_kincaid_grade: 11.1 10.1575268817 109% => OK
coleman_liau_index: 12.36 10.9000537634 113% => OK
dale_chall_readability_score: 8.46 8.01818996416 106% => OK
difficult_words: 76.0 86.8835125448 87% => OK
linsear_write_formula: 7.0 10.002688172 70% => OK
gunning_fog: 10.0 10.0537634409 99% => OK
text_standard: 10.0 10.247311828 98% => OK
What are above readability scores?
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We are expecting: No. of Words: 350 while No. of Different Words: 200
Better to have 5 paragraphs with 3 arguments. And try always support/against one side but compare two sides, like this:
para 1: introduction
para 2: reason 1. address both of the views presented for reason 1
para 3: reason 2. address both of the views presented for reason 2
para 4: reason 3. address both of the views presented for reason 3
para 5: conclusion.
So how to find out those reasons. There is a formula:
reasons == advantages or
reasons == disadvantages
for example, we can always apply 'save time', 'save/make money', 'find a job', 'make friends', 'get more information' as reasons to all essay/speaking topics.
or we can apply 'waste time', 'waste money', 'no job', 'make bad friends', 'get bad information' as reasons to all essay/speaking topics.
Rates: 70.0 out of 100
Scores by essay e-grader: 21.0 Out of 30
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.