En ésta cuarta edición, entre otros enlaces, información sobre varios libros interesantes que se publicarán en 2015.
1. Psicología del nodo. Internet Trolls Really Are Horrible People: Narcissistic, Machiavellian, psychopathic, and sadistic.
Con trolls o sin trolls, soy de los que sigue encontrando los comentarios en los blogs informativos (no todos claro).
2. Historia de la industria de la computación.
¡¡ Muy interesante !!
Libro de reciente publicación (2015). Ya hemos hablado recientemente sobre uno de los dos autores.
This compact history traces the computer industry from its origins in 1950s mainframes, through the establishment of standards beginning in 1965 and the introduction of personal computing in the 1980s. It concludes with the Internet’s explosive growth since 1995. Across these four periods, Martin Campbell-Kelly and Daniel Garcia-Swartz describe the steady trend toward miniaturization and explain its consequences for the bundles of interacting components that make up a computer system. With miniaturization, the price of computation fell and entry into the industry became less costly. Companies supplying different components learned to cooperate even as they competed with other businesses for market share. Simultaneously with miniaturization—and equally consequential—the core of the computer industry shifted from hardware to software and services. Companies that failed to adapt to this trend were left behind.
Governments did not turn a blind eye to the activities of entrepreneurs. The U.S. government was the major customer for computers in the early years. Several European governments subsidized private corporations, and Japan fostered R&D in private firms while protecting its domestic market from foreign competition. From Mainframes to Smartphones is international in scope and broad in its purview of this revolutionary industry.
Han utilizado la misma “periodización” que nosotros en nuestra historia del Imperialismo Computacional. Seguramente muy interesante.
3. Dos enlaces sobre innovación en España.
El autor es profesor de derecho en EEUU y por lo tanto nadie debe de esperar presentación técnica de algoritmos.
Every day, corporations are connecting the dots about our personal behavior—silently scrutinizing clues left behind by our work habits and Internet use. The data compiled and portraits created are incredibly detailed, to the point of being invasive. But who connects the dots about what firms are doing with this information? The Black Box Societyargues that we all need to be able to do so—and to set limits on how big data affects our lives.
Hidden algorithms can make (or ruin) reputations, decide the destiny of entrepreneurs, or even devastate an entire economy. Shrouded in secrecy and complexity, decisions at major Silicon Valley and Wall Street firms were long assumed to be neutral and technical. But leaks, whistleblowers, and legal disputes have shed new light on automated judgment. Self-serving and reckless behavior is surprisingly common, and easy to hide in code protected by legal and real secrecy. Even after billions of dollars of fines have been levied, underfunded regulators may have only scratched the surface of this troubling behavior.
Frank Pasquale exposes how powerful interests abuse secrecy for profit and explains ways to rein them in. Demanding transparency is only the first step. An intelligible society would assure that key decisions of its most important firms are fair, nondiscriminatory, and open to criticism. Silicon Valley and Wall Street need to accept as much accountability as they impose on others.
5. La economía, desde un punto de vista poco habitual. Why information Grows: The Evolution of Order, from Atoms to Economies.
While economists often turn to measures like GDP or per-capita income, César Hidalgo turns to information theory to explain the success or failure of a country’s economic performance. Through a radical rethinking of what the economy is, Hidalgo shows that natural constraints in our ability to accumulate knowledge, knowhow and information explain the evolution of social and economic complexity. This is a rare tour de force, linking economics, sociology, physics, biology and information theory, to explain the evolution of social and economic systems as a consequence of the physical embodiment of information in a world where knowledge is quite literally power.
Así es como ve el mundo económico el enfoque de la Economía de la complejidad. No se si me convence éste enfoque. Más bien no.
6. Big data. Nuevo libro: Data-ism.
Steve Lohr, a technology reporter for the New York Times, chronicles the rise of Big Data, addressing cutting-edge business strategies and examining the dark side of a data-driven world.
Coal, iron ore, and oil were the key productive assets that fueled the Industrial Revolution. Today, Data is the vital raw material of the information economy. The explosive abundance of this digital asset, more than doubling every two years, is creating a new world of opportunity and challenge.
Data-ism is about this next phase, in which vast, Internet-scale data sets are used for discovery and prediction in virtually every field. It is a journey across this emerging world with people, illuminating narrative examples, and insights. It shows that, if exploited, this new revolution will change the way decisions are made—relying more on data and analysis, and less on intuition and experience—and transform the nature of leadership and management.
7. Diseño de mercados. Problemas de emparejamiento sin mecanismo de precios.
Hablamos de un nuevo libro de un reciente Premio Nobel de Economía sobre un campo en el que la teoría económica y las ciencias computacionales tienen intereses convergentes.
Es un nuevo campo intelectual y un nuevo mercado: muchas de las plataformas de Internet son soluciones a este tipo de problemas.
If you’ve ever sought a job or hired someone, applied to college or guided your child into a good kindergarten, asked someone out on a date or been asked out, you’ve participated in a kind of market. Most of the study of economics deals with commodity markets, where the price of a good connects sellers and buyers. But what about other kinds of “goods,” like a spot in the Yale freshman class or a position at Google? This is the territory of matching markets, where “sellers” and “buyers” must choose each other, and price isn’t the only factor determining who gets what.
8. Imperialismo computacional. La verdad sobre la Inteligencia Artificial.
En el artículo repasan algunos hitos tecnológicos y culturales relacionados con la Inteligencia Atificial.
9. Neurociencias. Los neuromarcadores y sus implicaciones éticas.
Son medidas en base a neuroimagen que, según dicen, permiten predecir el comportamiento a largo plazo de los individuos.
Pseudoerasmus es un bloguero (seguramente un economista académico) que escribe sobre todo sobre historia económica. Esto le da una perspectiva diferente al de otros economistas que han escrito sobre la temática del Imperialismo Computacional.
What if human wants are not infinite ? And/or, what about the sci-fi future where machines can do pretty much everything humans can do, and do it better, and cost less to produce than to hire a human ?
But as long as we are speaking of sci-fi, why not also econ-fi ? In that case, there are only owners of capital who are passively receiving incomes from their assets. There is not much human labour per se, other than capital owners managing their portfolios. Machines could probably do that too, but most humans will continue to disbelieve even the weak form of the efficient markets hypothesis.
Así comienza una larga entrada que no he leído. Pero llamar a ésta temática Econ-fi (en analogía con Sci-fi o ciencia ficción) ya es una toma de posición.