The scope of computer scientists

In summary, the conversation discusses whether a computer scientist can be considered a traditional scientist and whether the field of computer science follows the scientific method. It is argued that computer science is more like mathematics, as it involves manipulating data and finding patterns, rather than making hypotheses and gathering evidence. Therefore, some suggest that terms like "data-ologist" or "applied ontologist" may be more appropriate.
  • #1
CyberShot
133
2
Would you consider a computer scientist (someone with a PhD & doing research) as a traditional scientist? I mean, there's no rigorous method that defines computer science as a "science" in the proper sense that is guided by the scientific method of making hypotheses, gathering evidence, weighing evidence and adjusting hypotheses, and then finally establishing new natural laws or revising old ones based on evidence.

Does it depend on the specific field? Maybe, a computer architect, dealing with circuits, could be considered an "electrical" scientist. Science usually corresponds with something physical or tries to describe nature. But, computer science attempts to manipulate, or even outwit, nature through the manipulation and transformation of data, encoded as 0s and/or 1s. Thus, computer scientists achieve their goal by mapping real world data through binary representation, essentially shifting around the 0 and 1 bits according to patterns or rules, and then mapping those new bits to new data to recognize patterns or understand trends of information. In this sense, I would say that computer science is more like mathematics, and even precedes natural science in fundamentality.

I would probably say that computer scientists are not "real" scientists. The term "data-ologist," or "applied ontologist" seems more appropriate. Your thoughts?
 
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  • #2
CyberShot said:
Would you consider a computer scientist (someone with a PhD & doing research) as a traditional scientist? I mean, there's no rigorous method that defines computer science as a "science" in the proper sense that is guided by the scientific method of making hypotheses, gathering evidence, weighing evidence and adjusting hypotheses, and then finally establishing new natural laws or revising old ones based on evidence.

This relates to your overall theme that computer scientists are more mathematicians that scientists. It's not that the method isn't rigorous, it just doesn't follow the scientific method. It's more like the method used by mathematicians, where a conjecture is made and a proof is attempted to show it is a theorem.
 

Related to The scope of computer scientists

What is the scope of computer scientists?

The scope of computer scientists is vast and constantly evolving. It includes the study and development of computer hardware, software, and systems, as well as their applications in various fields such as artificial intelligence, data science, and cybersecurity.

What are the job responsibilities of computer scientists?

The job responsibilities of computer scientists vary depending on their specific area of expertise. However, some common responsibilities may include designing and developing computer systems and programs, conducting research, and solving complex problems using technology.

What skills are required to become a successful computer scientist?

To become a successful computer scientist, one must have a strong foundation in mathematics, logic, and problem-solving. Additionally, proficiency in programming languages, critical thinking, and communication skills are also crucial for this field.

What industries employ computer scientists?

Computer scientists are in demand in a variety of industries, including technology, healthcare, finance, education, and government. They can also work in research and development, consulting, and start-ups.

What is the future outlook for computer scientists?

The future outlook for computer scientists is very promising, with a projected job growth of 15% from 2019 to 2029, much faster than the average for all occupations. This is due to the increasing reliance on technology and the need for skilled professionals to develop and maintain it.

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