Implementation in the context of Scientific modelling

Public policy is an institutionalized proposal or a decided set of elements like laws, regulations, guidelines, and actions to solve or address relevant and problematic social issues, guided by a conception and often implemented by programs. These policies govern and include various aspects of life such as education, health care, employment, finance, economics, transportation, and all over elements of society. The implementation of public policy is known as public administration. Public policy can be considered the sum of a government's direct and indirect activities and has been conceptualized in a variety of ways.

They are created and/or enacted on behalf of the public, typically by a government. Sometimes they are made by Non-state actors or are made in co-production with communities or citizens, which can include potential experts, scientists, engineers and stakeholders or scientific data, or sometimes use some of their results. They are typically made by policy-makers affiliated with (in democratic polities) currently elected politicians. Therefore, the "policy process is a complex political process in which there are many actors: elected politicians, political party leaders, pressure groups, civil servants, publicly employed professionals, judges, non-governmental organizations, international agencies, academic experts, journalists and even sometimes citizens who see themselves as the passive recipients of policy."

In computer science and computer engineering, a computer architecture is the structure of a computer system made from component parts. It can sometimes be a high-level description that ignores details of the implementation. At a more detailed level, the description may include the instruction set architecture design, microarchitecture design, logic design, and implementation.

In computer science, and more specifically in computability theory and computational complexity theory, a model of computation is a model that describes how an output of a mathematical function is computed given an input. A model describes how units of computations, memories, and communications are organized. The computational complexity of an algorithm can be measured given a model of computation. Using a model allows studying the performance of algorithms independently of the variations that are specific to particular implementations and specific technology.

Systems engineering is an interdisciplinary field of engineering and engineering management that focuses on how to design, integrate, and manage complex systems over their life cycles. At its core, systems engineering utilizes systems thinking principles to organize this body of knowledge. The individual outcome of such efforts, an engineered system, can be defined as a combination of components that work in synergy to collectively perform a useful function.

Issues such as requirements engineering, reliability, logistics, coordination of different teams, testing and evaluation, maintainability, and many other disciplines, aka "ilities", necessary for successful system design, development, implementation, and ultimate decommission become more difficult when dealing with large or complex projects. Systems engineering deals with work processes, optimization methods, and risk management tools in such projects. It overlaps technical and human-centered disciplines such as industrial engineering, production systems engineering, process systems engineering, mechanical engineering, manufacturing engineering, production engineering, control engineering, software engineering, electrical engineering, cybernetics, aerospace engineering, organizational studies, civil engineering and project management. Systems engineering ensures that all likely aspects of a project or system are considered and integrated into a whole.

An instruction set architecture (ISA) is an abstract model that defines the programmable interface of the CPU of a computer; how software can control a computer. A device (i.e. CPU) that interprets instructions described by an ISA is an implementation of that ISA. Generally, the same ISA is used for a family of related CPU devices.

In general, an ISA defines the instructions, data types, registers, and the programming interface for managing main memory such as addressing modes, virtual memory, and memory consistency mechanisms. The ISA also includes the input/output model of the programmable interface.

Instructional design (ID), also known as instructional systems design and originally known as instructional systems development (ISD), is the practice of systematically designing, developing and delivering instructional materials and experiences, both digital and physical, in a consistent and reliable fashion toward an efficient, effective, appealing, engaging and inspiring acquisition of knowledge. The process consists broadly of determining the state and needs of the learner, defining the end goal of instruction, and creating some "intervention" to assist in the transition. The outcome of this instruction may be directly observable and scientifically measured or completely hidden and assumed.

Learning theories also play an important role in the design of instructional materials. Theories such as behaviorism, constructivism, social learning, and cognitivism help shape and define the outcome of instructional materials.There are numerous instructional design models, but many are based on the ADDIE model with its five phases: analysis, design, development, implementation, and evaluation.

A communication protocol is a system of rules that allows two or more entities of a communications system to transmit information. The protocol defines the rules, syntax, semantics, and synchronization of communication and possible error recovery methods. Protocols may be implemented by hardware, software, or a combination of both.

Communicating systems use well-defined formats for exchanging various messages. Each message has an exact meaning intended to elicit a response from a range of possible responses predetermined for that particular situation. The specified behavior is typically independent of how it is to be implemented. Communication protocols have to be agreed upon by the parties involved. To reach an agreement, a protocol may be developed into a technical standard. A programming language describes the same for computations, so there is a close analogy between protocols and programming languages: protocols are to communication what programming languages are to computations. An alternate formulation states that protocols are to communication what algorithms are to computation.

Modular programming is a programming paradigm that emphasizes organizing the functions of a codebase into independent modules – each providing an aspect of a computer program in its entirety without providing other aspects.

A module interface expresses the elements that are provided and required by the module. The elements defined in the interface are detectable by other modules. The implementation contains the working code that corresponds to the elements declared in the interface.

Software design is the process of conceptualizing how a software system will work before it is implemented or modified.Software design also refers to the direct result of the design process – the concepts of how the software will work which may be formally documented or may be maintained less formally, including via oral tradition.

The design process enables a designer to model aspects of a software system before it exists with the intent of making the effort of writing the code more efficiently. Creativity, past experience, a sense of what makes "good" software, and a commitment to quality are success factors for a competent design.

Carl May FAcSS (born 1961, in Farnham, Surrey) is a British sociologist. He researches in the fields of medical sociology and Implementation Science. Formerly based at Southampton University and Newcastle University, he is now Professor of Health Systems Implementation at the London School of Hygiene and Tropical Medicine. Carl May was elected an Academician of the Academy of Learned Societies in the Social Sciences in 2006. He was appointed a Senior Investigator at the National Institute for Health and Care Research (NIHR) in 2010. He was elected an Honorary Fellow of the Royal College of General Practitioners in 2020. He has honorary professorial appointments in primary care at the University of Melbourne, and in public health at Monash University.

May is best known for his contributions to Implementation Science and his work is represented by many studies of the interaction between health technologies and their users. In Implementation Science his work investigates how innovations become routinely embedded in health care and other organizational systems. This research has led to Normalization Process Theory, developed with Tracy Finch and others, including Victor Montori. This is a sociological theory of the implementation, embedding, and integration of new technologies and organizational innovations. May and colleagues have applied Normalization Process Theory to explaining patient non-compliance with treatment, proposing that a proportion of non-compliance is structurally induced by healthcare systems themselves as patients are overburdened by treatment. To counter this, they have proposed Minimally Disruptive Medicine, which seeks to take account of its effects on patients' workload.

The protocol stack or network stack is an implementation of a computer networking protocol suite or protocol family. Some of these terms are used interchangeably but strictly speaking, the suite is the definition of the communication protocols, and the stack is the software implementation of them.

Individual protocols within a suite are often designed with a single purpose in mind. This modularization simplifies design and evaluation. Because each protocol module usually communicates with two others, they are commonly imagined as layers in a stack of protocols. The lowest protocol always deals with low-level interaction with the communications hardware. Each higher layer adds additional capabilities. User applications usually deal only with the topmost layers.

Reward management is concerned with the formulation and implementation of strategies and policies that aim to reward people fairly, equitably and consistently in accordance with their value to the organization.

Reward management consists of analysing and controlling employee remuneration, compensation and all of the other benefits for the employees. Reward management aims to create and efficiently operate a reward structure for an organisation. Reward structure usually consists of pay policy and practices, salary and payroll administration, total reward, minimum wage, executive pay and team reward.