The key to advancing the digital community lies in digitized data. Data is the foundation of how digital communities add value and redistribute energy.
In the connected world, data is used for continuous storage and expansion. When the same data contained in the analog world is distributed over a digital network, its potential can grow. Numerical data is not a problem. But once written, it can last forever. This new way of doing and sharing creates a difference between people who can use information as a resource and those who cannot. The ability to discover data, convert it into data, and use it in offline content is the key to good data. This chapter outlines the question of how exclusion of information can lead community members from community sharing to the digital substrate. Data fluency has been shown to be an important part of digital performance. Reinikka and Svensson used an unusual policy to measure the effectiveness of increasing public access to information as a tool to reduce the capture of public funds and corruption. In 1990, the Ugandan government issued a proclamation promoting the ability of schools and parents to oversee municipal police in charge of major school curricula. The results have been amazing. Capture rates dropped from 80% in 1995 to less than 20% in 2001. Writers used distance to the nearest log as a counterattack tool. Correspondence with the newsletter was helpful with administrators’ knowledge of program policies and when to deposit funds from sites, but not with nie test scores. Since the creation of the media, there has been a significant (reduced) close relationship with the press and a reduction in funding for schools. These models are to be compared with the results of the five years preceding the race. Drawing on key insights from the program, the authors recognize that public access to information is a powerful deterrent against arrests in the city. The benefits of this information (Public Services, Development Research Group) are part of a larger effort by the group to understand the role of information in developing services for the poor.
What’s the big deal with processing data anyway? Clearly, information has played a role in industry since ancient times. What changed?
One of the reasons for the confusion is that we are not used to distinguishing between information and knowledge. If you go to the old Grand Bazaar in Istanbul, you will immediately understand that even the most knowledgeable shopkeepers do not have much convenience, even if they need it. That makes all the difference. The emergence of information as a medium of storage and exchange has transformed our economy and our populations in ways we are less aware of. It makes us richer, smarter and healthier. Also, the impact is faster, so next year will see more changes than in the past. In fact, we’re just getting started.
If I had to make an appointment, it was in 1948 that the digital age really began. Two earthquakes occurred at Bell Labs that year. The first and most popular was the invention of the transistor, which formed the basis of today’s (but soon to be lost) digital technology paradigm.
A little known but in some ways more important is Claude Shannon’s book A Mathematical Theory of Communication. Although this form does not seem to have any precursors, it presents data in the form of weather forecasts.
Although little known or understood at the time, it became the basis of all the technologies we use today.
The main idea is that data is not a function of content, but that there is no ambiguity in getting into a room. You have to choose between two options. Data happens when the confusion clears, much like a coin toss where data is sparse when it’s in the air but there’s some reality when it lands.
These units are called “binary” units, or objects, such as pounds, quarts, meters or liters, which have become a simple unit of measurement that it is difficult to imagine that the modern world does not have them.
stored and transmitted
In the late 1940s, Shannon’s colleague Richard Hamming of Bell Labs feared that continuous computer errors were ruining his career. Based on Shannon’s article, he created the Hamming Code, a bit of extra information that allowed the computer to identify and fix errors.
Of course, this increases the data to be processed. No problem. Data theory also shows how to recover data by deleting reusable objects. The formats we use every day, such as JPEG and MP3, are compression formats that have their roots in Shannon’s 1948 form.
What differentiates the age of data from what we knew in the past is storage and transmission. Contrary to the knowledge of market traders, computers replicate and transmit an infinite number of times with as few errors as we choose.
Keep your income
The ability to store and send high quality data pays off. It can improve exponentially. The recovery of our efforts is not increasing, but fast. The most famous example is the Moore Code, which stipulates that work is doubled every 18 months.