Science is magic. If you think magic does not happen, check scientific facts, case studies, and more. Science is explained as a series of explained occurrences that took place but no one could explain. So, science came in place and explained everything that first seemed like magic with facts and proof. Here are the types of science streams and if operational science involves collecting data about unobserved events in the past, or not?
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Types of Science
There are mainly 2 types of science that you need to know about. Both of these are the backbone of science. The universal facts don’t stand a chance to be discovered without any of these. Operational Science and Historical Science are the two types of science.
Operational Science is the observant science that one does to make predictions on their own without the help of any tools. It is a great method through which anyone reading your report/research can conclude on their own to figure out if the result is, in fact, correct or not. The best part about this is that you can solve complex problems with ease.
Historical Science is the study of manuscripts and past events to draw effective conclusions and patterns. These are the results of thousands of years that are studied excessively and in detail with the hope to find certain patterns and beliefs that will result in predictions of the future.
Now that we know about different types of Science, let’s see if operational science is really important. In the next section, we’ll study operational science and its importance in detail.
It is the learning path where we study the resource transformation needed to potentially create and then efficiently distribute goods and services in the future. Its main focus is to find the interaction between future demand, production, as well as the variable aspect that could be linked with them. Operational Science is the shield for the inventory, capacity, and time that data scientists require to sync demand with production for the future.
Operations Science is observing and analyzing the practical application of the desired concepts so that the subject matter becomes:-
• effective and efficient
• more profit-prone in the future
Operational Science deals with more advanced methods of analyzing facts that’ll help everyone make better decisions and predictions after reading the research. This term is excessively used in the military to explain devoted time to management, development, future assurance, and more. For a deeper study on Operational Science check Factory Physics.
Importance of Operational Science
Everything has a purpose. Having a purpose in life is as important as backing up facts with scientific research. Here is why Operational Science is important. Let’s understand why is it considered a backbone to understanding the future and the universe.
- It solves complex problems at uncertain times.
- Keeps decision making easy and precise through data/facts
- Provides the basis of business decision making by research
- Set up the basics and standards in place to help managers
- Operational Science increases productivity
- It increases the chances of coordination and cooperation between departments
What are Unseen Events
Are you able to believe your eyes? It is a body part that helps us to see everything with clarity. But, do they actually show us everything and every truth? Truth be told, we only see what the light allows us to see. If the light did not reach our eyes we would never be able to see anything. The same and events are the ones that we cannot predict and see even if we wanted to. Everything is in vain until the particular experiment, incident, or experience happens.
For example, when someone throws you a surprise party that was not expected it becomes an unseen event. Another great example would be exceptional events that take place like fans surprised by their favorite star. Before science experts, we never predicted that there could be a Galaxy and a universe. People at that time would laugh if someone talked about living in another state, let alone another planet.
The Art of Data Collection
Data is the collection of knowledge as well as the relevant fact that are put together for a specific purpose. The purpose is actually what defines the data that would be needed and if a piece of particular information for the same would be needed or not. Search which has to be done on rats would not require the data related to GDP, income, RBI, and more. Although, it will require the data and facts about rats, their normal behavior, and how are they potentially going to behave.
Data can include everything starting from a reference point up to the analysis and the result of the particular analysis. Quantities, Statistics, Characters, Facts, Past records, Translations, and Symbols are some of the major key data points that help in the study/experiment of anything. Data Collection is an art and a complex process through which you gather and measure every information that you can find about a certain topic.
It is then schedule and used in such a way that it justifies many interests and fashion that potentially helps them to answer research-based questions, evaluate outcomes, and derive hypotheses. There are mainly four types of Data Collection that you or anyone wanting to do strategic research can do. These are namely observational data, experimental data, derivative data, and lastly the simulation data.
These data types and how you use them are completely dependent upon what kind of research you want to do and what is the purpose of the research. A clear idea about the research and clarity of basics will set you to know the right kind of Data Collection type we need to go for and the methods that you can potentially use.
Interviews, observations, governmental records, focus groups, previous year records, oral histories, questionnaire, and surveys are some of the ways that you can collect the required information and converted into data that one can use in their research and experimentation. Many scientists love to incorporate three to four of these different Data Collection methods so that everything can be used effectively and a well-researched conclusion is derived.
Can We Use Operational Science for Collecting Past Data
Yes, we can use operational Operational Science in collecting data about unobserved events from the past. According to the research study by Stanford Encyclopaedia of Philosophy, “Scientists obtain a great deal of the evidence they use by collecting and producing empirical results. Much of the standard philosophical literature on this subject comes from 20th-century logical empiricists, their followers, and critics.”
Many research pieces of evidence focus on questions regarding epistemology play important role in philosophy. Operational scientists and researchers often assist many managers and companies in making better decisions in the future through an analytical approach where the first observed monitor and use past references to find problem-causing areas so that all solutions can be derived from the same analysis.
If we have the facts of an element that was not seen and heard of, operational science will be able to analyze and figure out if any event can occur again. If the prediction is right then it means that we will be able to get more information that we loved before to make more discoveries and figure out the universe.
So, now you know that operational science does involve collecting data about unobserved events in the past. Let us know in the comments if you want to conduct any research/experiment on your own with the past. Past is really mystical and science can explain it if given a chance.