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Researched and designed by technologist Michell Zappa, Envisioning Technology is a speculative and subjective overview of potential future technologies. Based on personal research and observations, this map is intended to facilitate predictions of where the technium is going, as well as provoke thought and stimulate debate. Due to the intrinsic difficulty of speculation, the visualization is not to be interpreted as a roadmap, but rather as a point of reference for those investigating (or designing) the future of technology. Each hub represents an important area of development to which actual technologies (shown as nodes) belong. The center of the map marks where we are today, and the further out points indicate how far into the future each technology is predicted to become mainstream. The visualization also attempts to distinguish the predicted importance of each area, shown by the relative size of the nodes

"A new study has found that climate-prediction models are good at predicting long-term climate patterns on a global scale but lose their edge when applied to time frames shorter than three decades and on sub-continental scales."

"The projected snow loss, a result of climate change, could get even worse by the end of the 21st century, depending on how the world reacts. Sustained action to reduce global greenhouse gas emissions could keep annual average snowfall levels steady after mid-century, but if emissions continue unabated, the study predicts that snowfall in Southern California mountains will be two-thirds less by the year 2100 than it was in the years leading up to 2000."

Scientists studying populations of gray wolves in the USA's Yellowstone National Park have developed a way to predict how changes in the environment will impact on the animals' number, body size and genetics, amongst other biological traits.

Climate change disasters, such as the melting of the Greenland ice sheet, dieback of the Amazon rainforest or collapse of the Atlantic overturning circulation, could be predicted according to University of Exeter research.

panel of marine scientists who met earlier this year in Oxford, England, have concluded that the world's oceans are facing an unprecedented loss of species. As the London Independent reports today, "The seas are degenerating far faster than anyone has predicted, the report says, because of the cumulative impact of a number of severe individual stresses, ranging from climate warming and sea-water acidification, to widespread chemical pollution and gross overfishing." They concluded that the negative impacts are greater than predicted, and that mass extinctions could occur within one human generation.

"Many species of fruit fly lack the ability to adapt effectively to predicted increases in global temperatures and may face extinction in the near future, according to new research."

Scientists are a step closer to predicting when and where earthquakes will occur after taking a fresh look at the formation of the Andes, which began 45 million years ago.

Predictions of the loss of animal and plant diversity around the world are common under models of future climate change. But a new study shows that because these climate models don't account for species competition and movement, they could grossly underestimate future extinctions.

Researchers at Oak Ridge National Laboratory (ORNL) are sharing computational resources and expertise to improve the detail and performance of a scientific application code that is the product of one of the world's largest collaborations of climate researchers. The Community Earth System Model (CESM) is a mega-model that couples components of atmosphere, land, ocean, and ice to reflect their complex interactions. By continuing to improve science representations and numerical methods in simulations, and exploiting modern computer architectures, researchers expect to further improve the CESM's accuracy in predicting climate changes. Achieving that goal requires teamwork and coordination rarely seen outside a symphony orchestra.

Aerosol particles, including soot and sulfur dioxide from burning fossil fuels, essentially mask the effects of greenhouse gases and are at the heart of the biggest uncertainty in climate change prediction. New research from the University of Michigan shows that satellite-based projections of aerosols' effect on Earth's climate significantly underestimate their impacts.

Wandering albatrosses have altered their foraging due to changes in wind fields in the southern hemisphere during the last decades. Since winds have increased in intensity and moved to the south, the flight speed of albatrosses increased and they spend less time foraging. As a consequence, breeding success has improved and birds have gained 1 kilogram. These are the results of the study of an international research team published in the latest issue of the Science journal. However, these positive consequences of climate change may last short if future wind fields follow predictions of climate change scenarios, researchers warn.

"Researchers at Yale, Texas A&M and Boston University predict that by 2030 urban areas will expand by more than 463,000 square miles, or 1.2 million square kilometers. That is equal to 20,000 American football fields becoming urban every day for the first three decades of this century. The growth in urban areas will coincide with the construction of roads and buildings, water and sanitation facilities, and energy and transport systems that will transform land cover and cities globally. Recent estimates suggest that between $25 trillion and $30 trillion will be spent on infrastructure worldwide by 2030, with $100 billion a year in China alone."

Web-connected devices, not just mobile phones and 3G tablets but everything from home electronics to consumer packaged goods instrumented to transmit data to the Web, have become a part of every major speech here at the wireless industry's giant conference in Orlando, CTIA. "All devices that can benefit from connectivity will be connected," Hans Vestberg, CEO of Ericsson, said in a keynote, predicting that the world's nearly 5 billion mobile phone subscribers today will be surpassed by 50 billion connected non-phone devices in 10 years.

For more than 20 years, theoretical mathematical models have predicted that a delay built into a negative feedback system is at the heart of the molecular mechanism that governs circadian clocks in mammalian cells. Now, the first experimental proof of this theory has been provided by an international research team led by molecular biologists and information scientists from the RIKEN Center for Developmental Biology in Kobe. The demonstration of the feedback delay should lead to a better understanding of how cellular clocks function, and therefore how mammals adjust to the regular daily and seasonal changes in their environment. The work could also open the way to the development of treatments for circadian disorders, such as seasonal affective disorder, jet lag and even bipolar disorder.

The innovative analytical model plots data from higher taxonomic levels on an exponential graph to predict 7.7 million species in Kingdom Animalia. 

Scientists at the NRL Materials Science and Technology Division are providing solid evidence that there is a new route towards developing novel, lightweight energy storage devices. By moving away from centuries of caustic, hazardous aqueous-based battery cells and instead using non-volatile, thermally-stable ionic liquids, scientists predict multiple new types of batteries. Rather than depend on highly acidic electrolytes, ionic liquids are used to create a solid polymer electrolyte composed of an ionic liquid and polyvinyl alcohol, developing novel types of solid state batteries with discharge voltages ranging up to 1.8 volts.

Google recently announced that it will help fund groundbreaking research by computer scientists and economists at Tel Aviv University.  The Blavatnik School of Computer Science is attempting to help computers make better decisions using a term they dubbed "regret." Head of the program Professor Yishay Mansour began this project earlier this year at the International Conference on Learning Theory in Haifa, Israel.  He and the other researchers are working on algorithms that would allow computers to learn from their past failures in an effort to make better predictions.  This is referred to as "minimizing virtual regret" by Mansour. "If the servers and routing systems of the Internet could see and evaluate all the relevant variables in advance, they could more efficiently prioritize server resource requests, load documents and route visitors to an Internet site, for instance," says Mansour.

The Challenger and Columbia space shuttle disasters were perhaps two of the most prominent reminders of how crucial it is that everything work just right for a spacecraft to travel to space and successfully return back to Earth. Whether it was the failure of the seal used to stop hot gases from seeping through, or a piece of foam insulation that damaged the thermal protection system, scientists and engineers must make thousands of predictions of all the things that could go wrong during flight.

It's ubiquitous. It's universal. And it's understood-not! Water's choices in a given situation often defy scientific predictions. When expected to bond with other water molecules, it shuns them. When expected to ignore a surface, it becomes deeply attached. However, research at Pacific Northwest National Laboratory has revealed why one of the simplest and most important molecules on the planet makes some of the decisions it does.