The actual purpose of Jeffrey Epstein's support of science is to make striking changes in those basic areas that will bring meaningful change to the way we understand our universe and ourselves. Jeffrey has observed that these thinkers and achievers, who dedicated their lives to the sciences, require a lot of support. Those who are willing to take risks and not stick to what is traditional often catch Mr. Epstein's attention and he favors to support these individuals who have the guts to work on points not taught in scientific mainstream.
Areas that Jeffrey Epstein will find specifically worthwhile of support are the subsequent:
Quantum Computing, which unwraps the possibility to change the current state of information technology and at the same time provide opportunities for new fields of research and test the limitations of knowledge. Specifically, quantum cryptography, is an application that carries much promise in the foreseeable future.
Evolutionary Biology, advancing our knowledge of the dynamics of infectious diseases and cancer genetics, as well as alternative forms of energy. While some individuals, who are ignorant of the subject, are perhaps scared or threatened by it, and therefore oppose it, the potential of evolution, especially microevolution , has been essential to many social improvements in this century, and it promises to be profoundly important to biomedical technology in the next generation, specifically in drug development and in biotechnology.
Complexity, in order to understand the different processes that affects one's life there is a need to comprehend the complex adaptive systems. The ascending levels of the hierarchy of complexity demonstrate emergent properties at each level that appear to be non-predictable from the qualities of the component parts. We need a more comprehensive catalogue of the processes of evolution, learning, and adaptation and the ways in which they differ from one hierarchical level to another. This is the area that is forecasted to generate numerous benefits both intellectually and practically.
Cognitive Neuroscience, advancing the frontiers of brain-style computation, through the assistance of the cross-disciplinary fields of biophysics and computation. Since the brain computes, it is necessary to understand in detail the biophysical systems responsible for such computations. Another reason is the significance of being able to understand every detail of the neuron's biophysics, which includes its components. In electronic circuit design, work on the physics of calculation has characterized the physical systems that are exploited to perform elementary information processing procedures in digital computers. Unfortunately, how the brain operates and computes is not even close to the method of computation that is often taught in computer science or electrical engineering
Artificial Intelligence, striving to make machines more intelligent, self-correcting, and with more human like skills. Artificial Intelligence has already made great advances in building far better machines that reduce risk in daily human activities or by easing routine tasks. Nevertheless, we still are not at the point where computers have any understanding of either themselves, their operators, or the world around them. Is there a possibility to create a computer that is capable of absorbing the millions of day to day facts, associate those details to each other and then produce results that are both useful and insightful? How do we understand human thought in terms of its relationship to artificial intelligence?
Theoretical Physics, there are still problems that need to be solved with the standard model, as there are still many areas that do not fit with or clarify physical observations. The theoretical "Higgs field", which accounts for particle masses and the splitting of the symmetry between the electromagnetic and weak forces, is not well comprehended. The following continues to be unknown: computing masses of the field bosons or Higgs particles and how many there is. A consistent Quantum theory of Gravity is yet to be constructed, which means that this concept does not exist at the moment. There is no justification for the existence of the three families of quarks and leptons. There is no way to compute the relative masses of the different particles and strengths of the distinct forces. There is still no concrete justification on why electrons and protons have the same electrical charge despite the difference in their signs. What is the system that creates essential mass? The masses of the electron, proton, and neutron are generated through "electroweak breaking," but many particle physicists do not yet know how this breaking mechanism works. If and when a "theory of everything" is created, it will underlie almost anything in the sciences currently known as high-energy physics, cosmology, relativity, and astrophysics.
Astronomy, for as long as man has been able to think abstract thoughts, he has wondered about the character of the universe, including its origin and age. Right now, we have bigger and much better telescopes, extraordinary new accelerators, and the advance of technology in so many fields of astronomy has been able to push our comprehension and testing of concepts forward at a pace unparalleled in the history of science. Unfortunately, the answer to each question gives birth to more queries that are yet to be answered like the queries about the existence of Dark Matter which is believed to play a crucial role in the creation of the galaxies while the universe is still evolving. Of course, the Big Questions still remain: accounting for the very beginning of our universe, along with how it will end. Probably, these are the fundamental of all basic questions.
Language, the evolution of cooperation and human language; how do we obtain language?
In order to achieve Jeffrey Epstein's support, each scientist in each field must exhibit extraordinary creativity and innovation in his or her craft that allows him or her to provide a way of thinking that can be confirmed. The criteria could be the following: preparing and creating something fresh, testing the boundaries of an existing field in an extraordinary manner, or combining two experiments or two fields that has led to unique outcomes.