Martin Hilbert | |
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Born | 1977 (age 47–48) |
Alma mater | University of Southern California (PhD) University of Erlangen–Nuremberg (Dr. rer.pol.) |
Known for | Big Data [1] Information explosion eLAC Action Plans. [2] |
Scientific career | |
Fields | Computational Social Science, Information Theory, Complex Systems, Information Society |
Institutions | University of California, Davis |
Doctoral advisors | Manuel Castells (2012) Karl Albrecht Schachtschneider (2006) |
Martin Hilbert (born in 1977) is a social scientist who is a professor at the University of California where he chairs the campus-wide emphasis on Computational Social Science. [3] He studies societal digitalization. His work is recognized in academia for the first study that assessed how much information there is in the world; [4] in public policy for having designed the first digital action plan with the governments of Latin America and the Caribbean at the United Nations (eLAC Action Plans); and in the popular media for having alerted about the intervention of Cambridge Analytica a year before the scandal broke. [5]
Hilbert served as Economic Affairs Officer of the United Nations Secretariat for 15 years (UN ECLAC), where he created the Information Society Program for Latin America and the Caribbean [6] He conceptualized the design of the eLAC Action Plans, which has led to six consecutive generations of digital development agendas for Latin America and the Caribbean (2005–2025). [7]
Hilbert studies the conditions and effects of digitalization (information & communication) and algorithmification (knowledge) [8] on human processes and societal dynamics. His research has found audiences in communication science, [9] information science, [10] international development, [11] evolution and ecology, [12] technological forecasting, [13] complexity science, [14] [15] network science, [16] economics, [17] [18] physics, [19] psychology, [20] women's studies [21] and multidisciplinary science. [22]
Hilbert has provided technical assistance in the field of digital development to more than 20 countries and contributed to publicly traded companies as digital strategist. He has consulted with governments and companies, especially in Latin America, which has earned him media-titles like “guru of big data”. [23] [24]
Hilbert's university courses are available as MOOCs on Coursera. His teachings on "Digital Technology & Social Change" consists of an introduction to the digital age, being informed by his hands-on experience at the United Nations and his regular consultancy work. [25] His methods course is an introduction to the scientific method, informed by complexity science, executed with computational tools and called “University of California Computational Social Science”. It was the first UC-wide online course that involves faculty members from all 10 UC campuses (17 different lecturers). [26]
Hilbert's numerous peer recognitions span from awards for visual infographics, [27] and written interviews, [28] to an endowed chair position at the Library of Congress, [29] and ranked at the 'Top-100 Best Online Courses of ALL TIMES, [30] as well as two awards for online teaching from the University of California Office of the President's Innovative Learning Technology Initiative (ILTI). [31]
Computational chemistry is a branch of chemistry that uses computer simulations to assist in solving chemical problems. It uses methods of theoretical chemistry incorporated into computer programs to calculate the structures and properties of molecules, groups of molecules, and solids. The importance of this subject stems from the fact that, with the exception of some relatively recent findings related to the hydrogen molecular ion, achieving an accurate quantum mechanical depiction of chemical systems analytically, or in a closed form, is not feasible. The complexity inherent in the many-body problem exacerbates the challenge of providing detailed descriptions of quantum mechanical systems. While computational results normally complement information obtained by chemical experiments, it can occasionally predict unobserved chemical phenomena.
Digital data, in information theory and information systems, is information represented as a string of discrete symbols, each of which can take on one of only a finite number of values from some alphabet, such as letters or digits. An example is a text document, which consists of a string of alphanumeric characters. The most common form of digital data in modern information systems is binary data, which is represented by a string of binary digits (bits) each of which can have one of two values, either 0 or 1.
Data storage is the recording (storing) of information (data) in a storage medium. Handwriting, phonographic recording, magnetic tape, and optical discs are all examples of storage media. Biological molecules such as RNA and DNA are considered by some as data storage. Recording may be accomplished with virtually any form of energy. Electronic data storage requires electrical power to store and retrieve data.
The Information Age is a historical period that began in the mid-20th century. It is characterized by a rapid shift from traditional industries, as established during the Industrial Revolution, to an economy centered on information technology. The onset of the Information Age has been linked to the development of the transistor in 1947 and the optical amplifier in 1957. These technological advances have had a significant impact on the way information is processed and transmitted.
An information society is a society or subculture where the usage, creation, distribution, manipulation and integration of information is a significant activity. Its main drivers are information and communication technologies, which have resulted in rapid growth of a variety of forms of information. Proponents of this theory posit that these technologies are impacting most important forms of social organization, including education, economy, health, government, warfare, and levels of democracy. The people who are able to partake in this form of society are sometimes called either computer users or even digital citizens, defined by K. Mossberger as “Those who use the Internet regularly and effectively”. This is one of many dozen internet terms that have been identified to suggest that humans are entering a new and different phase of society.
Hypercomputation or super-Turing computation is a set of hypothetical models of computation that can provide outputs that are not Turing-computable. For example, a machine that could solve the halting problem would be a hypercomputer; so too would one that could correctly evaluate every statement in Peano arithmetic.
DNA computing is an emerging branch of unconventional computing which uses DNA, biochemistry, and molecular biology hardware, instead of the traditional electronic computing. Research and development in this area concerns theory, experiments, and applications of DNA computing. Although the field originally started with the demonstration of a computing application by Len Adleman in 1994, it has now been expanded to several other avenues such as the development of storage technologies, nanoscale imaging modalities, synthetic controllers and reaction networks, etc.
Digital broadcasting is the practice of using digital signals rather than analogue signals for broadcasting over radio frequency bands. Digital television broadcasting is widespread. Digital audio broadcasting is being adopted more slowly for radio broadcasting where it is mainly used in Satellite radio.
A metasystem transition is the emergence, through evolution, of a higher level of organization or control.
A quantum Turing machine (QTM) or universal quantum computer is an abstract machine used to model the effects of a quantum computer. It provides a simple model that captures all of the power of quantum computation—that is, any quantum algorithm can be expressed formally as a particular quantum Turing machine. However, the computationally equivalent quantum circuit is a more common model.
Information is an abstract concept that refers to something which has the power to inform. At the most fundamental level, it pertains to the interpretation of that which may be sensed, or their abstractions. Any natural process that is not completely random and any observable pattern in any medium can be said to convey some amount of information. Whereas digital signals and other data use discrete signs to convey information, other phenomena and artifacts such as analogue signals, poems, pictures, music or other sounds, and currents convey information in a more continuous form. Information is not knowledge itself, but the meaning that may be derived from a representation through interpretation.
Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing software. Data with many entries (rows) offer greater statistical power, while data with higher complexity may lead to a higher false discovery rate.
Culturomics is a form of computational lexicology that studies human behavior and cultural trends through the quantitative analysis of digitized texts. Researchers data mine large digital archives to investigate cultural phenomena reflected in language and word usage. The term is an American neologism first described in a 2010 Science article called Quantitative Analysis of Culture Using Millions of Digitized Books, co-authored by Harvard researchers Jean-Baptiste Michel and Erez Lieberman Aiden.
Information technology (IT) is a set of related fields that encompass computer systems, software, programming languages, data and information processing, and storage. IT forms part of information and communications technology (ICT). An information technology system is generally an information system, a communications system, or, more specifically speaking, a computer system — including all hardware, software, and peripheral equipment — operated by a limited group of IT users, and an IT project usually refers to the commissioning and implementation of an IT system. IT systems play a vital role in facilitating efficient data management, enhancing communication networks, and supporting organizational processes across various industries. Successful IT projects require meticulous planning and ongoing maintenance to ensure optimal functionality and alignment with organizational objectives.
BioSystems is a monthly peer-reviewed scientific journal covering experimental, computational, and theoretical research that links biology, evolution, and the information processing sciences. It was established in 1967 as Currents in Modern Biology by Robert G. Grenell and published by North-Holland Publishing Company out of Amsterdam until North-Holland merged with Elsevier in 1970. Grenell wrote of his purpose in founding the journal,
It has become necessary to develop a new language of biology; a new mathematics, and to strip biological theory and experiment of their classical approaches, assumptions and limitations. It is such considerations which underlie the establishment of this journal.
Computational social science is an interdisciplinary academic sub-field concerned with computational approaches to the social sciences. This means that computers are used to model, simulate, and analyze social phenomena. It has been applied in areas such as computational economics, computational sociology, computational media analysis, cliodynamics, culturomics, nonprofit studies. It focuses on investigating social and behavioral relationships and interactions using data science approaches, network analysis, social simulation and studies using interactive systems.
The social genome is the collection of data about members of a society that is captured in ever-larger and ever-more complex databases. Some have used the term digital footprint to refer to individual traces.
In quantum computing, quantum supremacy or quantum advantage is the goal of demonstrating that a programmable quantum computer can solve a problem that no classical computer can solve in any feasible amount of time, irrespective of the usefulness of the problem. The term was coined by John Preskill in 2011, but the concept dates to Yuri Manin's 1980 and Richard Feynman's 1981 proposals of quantum computing.
Continuous-variable (CV) quantum information is the area of quantum information science that makes use of physical observables, like the strength of an electromagnetic field, whose numerical values belong to continuous intervals. One primary application is quantum computing. In a sense, continuous-variable quantum computation is "analog", while quantum computation using qubits is "digital." In more technical terms, the former makes use of Hilbert spaces that are infinite-dimensional, while the Hilbert spaces for systems comprising collections of qubits are finite-dimensional. One motivation for studying continuous-variable quantum computation is to understand what resources are necessary to make quantum computers more powerful than classical ones.
Lulu Qian is a Chinese-American biochemist who is a professor at the California Institute of Technology. Her research uses DNA-like molecules to build artificial machines.