Science Research Groups

Energy powers our modern world, fueling innovation and improving living standards across the globe. But delivering access to reliable and affordable energy, while limiting its social and environmental impacts, is one of society’s greatest and most complex challenges. The Energy Policy Institute at the University of Chicago (EPIC) is contributing solutions using a unique approach that translates cutting-edge research into real-world impacts through strategic outreach, and training for the next generation of global energy leaders.

The Gary Becker Milton Friedman Institute for Research in Economics at the University of Chicago advances inquiry that illuminates our choices, our economy, our society, and our future.

Our programs foster research in the distinctive Chicago economics approach, exemplified in the enduring work of our namesakes, Milton Friedman and Gary S. Becker. They shared the belief that economics is a powerful tool for understanding the world. Following that belief, we prepare and support innovative scholars who apply economic analysis to our most challenging social and policy issues.

The Kansas Biological Survey, established in 1911, is a KU research center. It is a nexus for natural sciences research, environmental mapping, conservation and education. Our scientists — working with graduate and undergraduate students, as well as visiting scholars — conduct research that affects our health, our state and our world. This research covers a broad spectrum and includes subjects such as water, air and soil quality; land use; threatened and endangered species; global change biology; environmental engineering; and aquatic ecology and watersheds.

The Agricultural Research Division is the major research agency of the University of Nebraska's Institute of Agriculture and Natural Resources and is Nebraska's Agricultural Experiment Station. ARD scientists improve the quality of life for Nebraskans across the state. They make important contributions to the state's agriculture, food industries, environment, the well-being of families, and community development. Research occurs in fields, feedlots, the natural environment, homes, yards, gardens, and cities and towns. ARD scientists provide new knowledge and seek answers to Nebraskans' problems and concerns.

Beginning in the Fall Semester of 2014, Columbia University has developed a new organization which both builds upon and maintains Columbia’s strong and successful experiences with highly multidisciplinary and collaborative research programs in Nanoscale Science and Engineering. This new research structure both stimulates the development of new major research centers and programs as well as works to assure the creation and maintenance of the specialized facilities that underlie these groundbreaking programs for the benefit of the entire university.

Nevis Labs is a physics research facility operated by Columbia University's Physics Department. We have projects that research topics in particle physics, astrophysics, and biophysics.

EMSL is a national scientific user facility that is funded and sponsored by the US Department of Energy's Office of Biological & Environmental Research. EMSL’s mission as a national scientific user facility is to lead molecular-level discoveries for the Department of Energy and its Office of Biological and Environmental Research that translate to predictive understanding and accelerated solutions for national energy and environmental challenges.

The High Energy Theory Group at Harvard consists of faculty, post-docs, graduate students and affiliates. Members pursue a wide and exciting selection of research topics and seminars. The High Energy Theory Group also hosts two seminar speaker series in Particle and String Theory throughout the academic year.

Welcome to the CALVIN research group homepage. We are part of the IPAB institute of the University of Edinburgh.

We research several topics related to learning in computer vision. Our current focus is on weakly supervised learning of object classes, semantic segmentation, and large-scale auto-annotation.

The Media Laboratory vision of "enabling technology for learning and expression by people and machines" emphasizes technologies that improve the quality of life in the digital age, and that assist people in constructing their own tools for expression. The Lab advocates a process that includes both imagination and realization, criticism and reflection. Research at the Media Lab comprises interconnected developments in an unusual range of disciplines. Lab research is now exploring new frontiers, such as wireless, "viral" communications; wearable computing; machines capable of common-sense reasoning; new forms of artistic expression; and how children learn. These themes outline a future where the bits of the digital realm interact seamlessly with the atoms of our physical world, and where our machines not only respond to our commands, but also understand our emotionsa future where digital innovation becomes the domain of all.

The Natural Language Processing Group at Stanford University is a team of faculty, postdocs, programmers and students who work together on algorithms that allow computers to process and understand human languages. Our work ranges from basic research in computational linguistics to key applications in human language technology, and covers areas such as sentence understanding, automatic question answering, machine translation, syntactic parsing and tagging, sentiment analysis, and models of text and visual scenes, as well as applications of natural language processing to the digital humanities and computational social sciences.

The goal of the Morpho project is to develop unsupervised data-driven methods that discover the regularities behind word forming in natural languages. In particular, we are focussing on the discovery of morphemes, which are the primitive units of syntax, the smallest individually meaningful elements in the utterances of a language. Morphemes are important in automatic generation and recognition of a language, especially in languages in which words may have many different inflected forms.

Offering innovative and influential thought leadership, the Georgetown Center for Financial Markets and Policy fosters discussion on critical policy and regulatory issues related to global financial markets.

Founded in 1972 by a grant from the partners of Salomon Brothers, the Salomon Center specializes in the study of financial institutions and markets, including commercial banks, investment banks, managed funds and insurance companies.

The International Center for Finance (ICF) supports the creation of new knowledge in finance and disseminates it in many different forms to the world’s academic and professional communities. The Center provides data, technology and staff support for financial research. It organizes conferences that bring together researchers, professionals and students to exchange ideas about the role of finance in society, broadly defined. The Center develops and supports opportunities for Yale students and faculty to engage with key practitioners and thought leaders in the world of finance.

Research website for Tamara Munzner's information visualization lab at the University of British Columbia.

This page presents images and news releases based on observations of the El Nino, La Nina phenomenon in the Pacific Ocean by the U.S./French TOPEX/Poseidon, Jason-1, and other NASA/JPL satellites and instruments.

A concern with physical quantities – energy, temperature, and the like – has inspired the development of modern mathematics. Scientific and engineering questions have provided a source of vitality to, among other fields, algebra, geometry and analysis.

A concern with logical and statistical quantities – information – is central to present-day science and engineering. The pertinent mathematics is being actively developed, as disciplines such as algorithms, complexity, communications and control motivate questions in adjoining fields such as probability, combinatorics, algebra and harmonic analysis. A common framework supporting the study of information and computation across disciplines is as yet a distant goal. The Caltech CMI is a home in which unfettered development of the mathematical foundations of information and computation can be influenced by, and influence in turn, progress in engineering and science.

<img src="http://www.elementlist.com/images/alaskaeqlogo.jpg" alt="alaska earthquake observatory" width="126" height="104" align="right">Located at the Geophysical Institute of the University of Alaska Fairbanks, the Alaska Earthquake Information Center receives data from more than 350 seismic sites. AEIC serves as an integration of all seismic networks within Alaska, also archiving and processing data from the Pacific Coast and Alaska Tsunami Warning Center in Palmer, Alaska, (~20 sites), and the Alaska Volcano Observatory in Fairbanks and Anchorage (~90 sites). All sites in the network operate with a real-time data acquisition system at the Geophysical Institute. The network is further strengthened by three Incorporated Research Institutions for Seismology (IRIS) sites, at College, Kodiak Island, and Adak. The Alaska Earthquake Information Center, a member of the Council of the National Seismic System (CNSS), is funded by the State of Alaska, NOAA, and USGS. Alaska Earthquake Information Center personnel locate and report about 22,000 earthquakes each year, and advise federal and state officials of each major earthquake's location and size within 30 minutes. In addition, the earthquake catalogs generated by AEIC are fundamental for seismic hazard studies, because they are the most important element in defining the seismic source zones and the level of seismicity. Alaskan earthquakes, active faults, and rupture zones. Interactive Alaska seismicity maps.

The machine learning laboratory at the University of Montreal is led by seven professors, Prof. Yoshua Bengio, Prof. Aaron Courville, Prof. Pascal Vincent, Prof. Roland Memisevic, Prof. Christopher Pal, Prof. Laurent Charlin, and Prof. Simon Lacoste-Julien, all of whom are leading world experts in machine learning, especially in the rapidly growing field of deep learning.

Researchers from MILA have pioneered the field of deep learning and deep neural networks (both discriminative and generative) and their applications to vision, speech and language. MILA is world-renowned for many breakthroughs in developing novel deep learning algorithms and applying them to various domains. They include neural language modelling, neural machine translation, object recognition, structured output generative modelling and neural speech recognition.