Sentences with phrase «modelling of future scientists»

SAYAS aims to contribute towards solutions to national and global challenges facing society; provide a platform for young scientists to influence policy decisions; contribute towards the development of scientific capacity in South Africa through mentoring and role - modelling of future scientists; and foster opportunities for interdisciplinary collaborations amongst young scientists.

Not exact matches

2011 Daniel Colón - Ramos is passionate about contributing to the development of future scientists and has spoken broadly about his experience on the academic path to a research career, the importance of mentoring and role models in science education, and the need for an open dialogue between scientists and the general public.

The Blue Brain Project Scientists rely on computer models to understand the toughest concepts in science: the origin of the universe, the behavior of atoms, and the future climate of the planet.

The scientists then plugged the future climate estimates from each of the 11 models into the VIC model to generate projected groundwater recharge scenarios.

Even if the near future doesn't unfold like the 2004 climate - gone - haywire film The Day After Tomorrow, scientists need to be able to produce accurate models of what abrupt change (more likely spanning hundreds or thousands or years, rather than days) would look like and why it might occur, explains Zhengyu Liu, lead author of the study and director of the University of Wisconsin — Madison's Center for Climate Research.

Data previously collected by Tarduno and Rory Cottrell, an EES research scientist, together with theoretical models developed by Eric Blackman, a professor of physics and astronomy at Rochester, suggest the core region beneath southern Africa may be the birthplace of recent and future pole reversals.

«Overall the turnaround for sample analyses fit a relevant clinical window for future comparative oncology trials to model human PMed advancements,» said Dr. William Hendricks, a TGen Staff Scientist and another author of the study.

Mission leaders were relieved and eager to begin their studies of cloud and haze effects, which «constitute the largest uncertainties in our models of future climate — that's no exaggeration,» says Jens Redemann, an atmospheric scientist at NASA's Ames Research Center in Mountain View, California, and the principal investigator for ObseRvations of Aerosols above CLouds and their IntEractionS (ORACLES).

Since, as Marcus notes, «some U.S. universities and colleges may be going the way of the music and journalism industries,» scientists at early stages of their careers may wish to consider whether they ought to tie their futures to institutions that, failing drastic reform in the near future, will in many cases continue «facing skeptical customers, declining enrollment, an antiquated financial model that is hemorrhaging money, and new kinds of low - cost competition.»

To better plan for potential effects due to climate change, scientists using the North American Breeding Bird Survey and Audubon Christmas Bird Count employed correlative distribution modeling, to assess geographic range shifts for nearly 600 North American bird species during both the breeding and non-breeding seasons under a range of future climate change scenarios through the end of the century.

The scientists also ran a computer model to simulate the future of Greenland's surface temperature, grain size, exposed ice area and albedo.

Then they mapped out the millions of citations to those papers, and searched for a statistical model that best predicted scientists» future success based on their early publication history.

To weigh the net impacts of tropical storms, the scientists used a computer model predicting future climates and the possibilities of storms.

But even the first step of modeling the effects of greenhouse gas sources and sinks on future temperatures requires input from atmospheric scientists, oceanographers, ecologists, economists, policy analysts, and others.

«The beauty of the deep - learning model we use is that it considers emotions and linguistic clues over time to predict the future,» says computer scientist Svitlana Volkova, who led the study, which was published last December in PLOS ONE.

BOULDER, COLORADO — As the gulf oil spill grows, scientists here are refining models of the slick's behavior in hopes of developing a more accurate picture of its future movements.

«For scientists to create more accurate models of Earth's current and future climate, they'll have to include more accurate representations of clouds.»

While his new study makes no use of the huge computer models commonly used by scientists to estimate the magnitude of future climate change, Lovejoy's findings effectively complement those of the International Panel on Climate Change (IPCC), he says.

Among the implications of the study are that ocean temperatures in this area may be more sensitive to changes in greenhouse gas levels than previously thought and that scientists should be factoring entrainment into their models for predicting future climate change.

In the study, scientists with Environment Canada, a government agency, fed their model various scenarios of future greenhouse gas concentrations out to the year 2100.

Scientists have developed and used Global Climate Models (GCMs) to simulate the global climate and make projections of future AT and other climatic variables under different carbon emission scenarios in the 21st century.

Scientists have recorded the active flight muscles of a blowfly, opening doors to the future development of micro-aircraft modelled on the insect's flight mechanics.

A team of scientists from Vanderbilt and Stanford universities have created the first comprehensive map of the topsy - turvy climate of the period and are using it to test and improve the global climate models that have been developed to predict how precipitation patterns will change in the future.

Albert Einstein has been dismembered in any number of ways: His eyes were the model for E.T. in Steven Spielberg's 1982 blockbuster, and his forehead graced Yoda in 1977's Star Wars — not to mention Einstein's hair, which has been transplanted onto multiple screen scientists, including Dr. Emmet Brown in the «Back to the Future» series and, yes, Dr. Strangelove.

By using simulations that were created by running the same model multiple times, with only tiny differences in the initial starting conditions, the scientists could examine the range of summertime temperatures we might expect in the future for the «business - as - usual» and reduced - emissions scenarios.

Whereas David Weinberger's speculations about predictive abilities of big data — crunching models in «The Machine That Would Predict the Future» are intriguing, planners and social scientists aren't about to step aside just yet.

The scientists have identified priority areas for future study, including how to optimize linkage of HIV - positive infants into early treatment, improve models for retention and adherence of children receiving antiretrovirals, and prioritize locally driven research questions and processes that engage end users throughout.

► In a policy forum in this week's STM, four physician scientists expressed concern that a recent «shift toward new models of medical education in which research plays a minimal role... threatens the quality of education received by our future biomedical workforce as well as the pipeline of physician - scientists — important consequences that have received little attention.»

Brent James, vice president for medical research and executive director, Institute for Health Care Delivery Research, Intermountain Healthcare, and known internationally for his innovative work on improving the quality and safety of health care delivery, comments: «Progress in CF - related care delivery provides a model for clinician - scientists» massive opportunity to improve health care delivery and patient outcomes in the future.»

But it turns out that rain also triggers the release of a mist of particles from wet soils into the air, a finding with consequences of its own for how scientists model our planet's climate and future.

The New Zealand quake is not only impacting the modeling of future quakes, but is also changing the way scientists think about past ones, says earthquake geologist Kate Clark of GNS Science, a co-author on the Science paper.

Oppenheimer and his co-authors use a technique known as «structured expert judgment» to put an actual value on the uncertainty that scientists studying climate change have about a particular model's prediction of future events such as sea - level rise.

This year «s Young Scientist Award on human health sciences, presented at the EUROTOX annual meeting in Stockholm, Sweden, has been awarded to Camille Béchaux, Anses France for her poster presentation on: Dynamical modeling of dietary exposure to dioxins and corresponding present and future health risk: A case study in France

Using global climate models is a way that scientists can size up climate outcomes using inputs of historical measurements and estimates of future conditions, depending on whether greenhouse gases are held steady, increase, or decline.

«This work was a foundational reference case for the recently released RCP4.5 model scenario, one of four scenarios that will be used by modeling groups around the globe to make realistic projections of future climate change,» said Dr. Steven J. Smith, scientist at the Joint Global Change Research Institute, a partnership between PNNL and the University of Maryland, and lead research author.

In a defining document about the future of aerosol research, Pacific Northwest National Laboratory scientist Steve Ghan teamed with Brookhaven National Laboratory's Steve Schwartz, Chief Scientist for the Department of Energy's Atmospheric Science Program, to describe a disciplined process for successfully moving aerosol research from the observational stage to model simscientist Steve Ghan teamed with Brookhaven National Laboratory's Steve Schwartz, Chief Scientist for the Department of Energy's Atmospheric Science Program, to describe a disciplined process for successfully moving aerosol research from the observational stage to model simScientist for the Department of Energy's Atmospheric Science Program, to describe a disciplined process for successfully moving aerosol research from the observational stage to model simulations.

In addition, atmospheric scientist Dr. Hendrik Tennekes, a scientific pioneer in the development of numerical weather prediction and former director of research at The Netherlands» Royal National Meteorological Institute, recently compared scientists who promote computer models predicting future climate doom to unlicensed «software engineers.»

While the new formula, which accounts for both temperature and salinity, can be used to forecast tropical cyclone intensity in real time, it can also be applied to the results of climate modeling to provide scientists with a framework to evaluate changes in future tropical cyclone activity.

Next, scientists will work on correcting the representation of tropical cloud depth in global climate models to better project future climate change.

To better understand the range of possible futures, scientists modeled greenhouse gas generated from energy use and agricultural activities to the year 2100.

The extra data spanning many thousands of years that this study uncovers will go a long way to matching model projections with past observations, helping scientists identify the most accurate models for making predictions of future climate change.

More than 60 scientists from the United States and across the world attended the workshop to discuss the future steps needed to advance the state of the science in regional climate modeling.

The scientists behind today's analysis used the same 13 climate models to investigate how often we might see a repeat of such high Arctic winter temperatures in future as warming continues.

Next, the CSIRO scientists plans to model the future toll of worsening acidification throughout the Great Barrier Reef.

Since we have no data from the future, most climate scientists will speak only of what the GCMs say, yet as humans we have learned from the Arctic that melting does not wait on models.

There are uncertainties in parts of the general circulation models used to forecast future climate, but thousands of scientists have made meticulous efforts to make sure that the processes are based on observations of basic physics, laboratory measurements, and sound theoretical calculations.

In recent years, interdisciplinary work between data scientists and modelers is promising to make global models more accurate, detailed, and useful to those charting the future of our planet.

Even if the study were right... (which it is not) mainstream scientists use * three * methods to predict a global warming trend... not just climate computer models (which stand up extremely well for general projections by the way) under world - wide scrutiny... and have for all intents and purposes already correctly predicted the future -(Hansen 1988 in front of Congress and Pinatubo).

I'm no climate scientist, but I know models in all fields are based on clusters of formulae, and these formulae are often derived from real world data partly by trial and error, and adjusting terms until they can reliably predict past and future data.

These small alterations are taken into account in climate models, with the average of all models (i.e. an ensemble forecast, a term you should know well as a former meteorologist), scientists (like those at the IPCC) can arrive at a sensible estimate of what we are likely to experience in the future.