E-democracyE-democracy (a blend of the terms electronic and democracy), also known as digital democracy or Internet democracy, uses information and communication technology (ICT) in political and governance processes. The term is credited to digital activist Steven Clift. By using 21st-century ICT, e-democracy seeks to enhance democracy, including aspects like civic technology and E-government. Proponents argue that by promoting transparency in decision-making processes, e-democracy can empower all citizens to observe and understand the proceedings.
Transparency (behavior)As an ethic that spans science, engineering, business, and the humanities, transparency is operating in such a way that it is easy for others to see what actions are performed. Transparency implies openness, communication, and accountability. Transparency is practiced in companies, organizations, administrations, and communities. For example, in a business relation, fees are clarified at the outset by a transparent agent, so there are no surprises later. This is opposed to keeping this information hidden which is "non-transparent".
Conditional probabilityIn probability theory, conditional probability is a measure of the probability of an event occurring, given that another event (by assumption, presumption, assertion or evidence) has already occurred. This particular method relies on event B occurring with some sort of relationship with another event A. In this event, the event B can be analyzed by a conditional probability with respect to A. If the event of interest is A and the event B is known or assumed to have occurred, "the conditional probability of A given B", or "the probability of A under the condition B", is usually written as P(AB) or occasionally P_B(A).
Probability distributionIn probability theory and statistics, a probability distribution is the mathematical function that gives the probabilities of occurrence of different possible outcomes for an experiment. It is a mathematical description of a random phenomenon in terms of its sample space and the probabilities of events (subsets of the sample space). For instance, if X is used to denote the outcome of a coin toss ("the experiment"), then the probability distribution of X would take the value 0.5 (1 in 2 or 1/2) for X = heads, and 0.
Probability spaceIn probability theory, a probability space or a probability triple is a mathematical construct that provides a formal model of a random process or "experiment". For example, one can define a probability space which models the throwing of a die. A probability space consists of three elements: A sample space, , which is the set of all possible outcomes. An event space, which is a set of events, , an event being a set of outcomes in the sample space. A probability function, , which assigns each event in the event space a probability, which is a number between 0 and 1.
