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02. Alternative Energy
03. Computer Power
04. Nanotechnology
05. Stem Cells
06. Communications
07. Hydrocarbon Use
08. Clean Transportation
09. Online Information
10. DNA Decoding
11. Cell Biology
12. Photonics
13. Proteomics
14. Quantum Physics
15. Genetic Modification
16. Degrading Oceans
17. Robotics
18. Nanomedicine
19. Neuroscience
20. Extending Lifespan
21. Overpopulation
22. Scientific Instruments
23. Synthetic Biology
24. Nuclear Physics
25. Artificial Intelligence
26. Body Implants
27. Major Disease Cures
28. Water Shortage
29. Species Loss
30. Brain Enhancement
31. Origin of Life
32. Sensor Technology
33. Pandemics
34. Exogenous Life
35. Dark Matters
36. Cosmology
37. Energy Storage
38. Virtual/Augmented Reality
39. Space Exploration
40. Impact Event
Impact Areas listed in order of ranking

Global warming may have unforeseen (and nasty) tipping points
Similar to the financial crisis of 2008, or the over-fishing of the seas, the dynamics of the global warming problem are pretty well known. What is not known are all the possible ‘tipping points,’ those events (big or small) that can push the dynamic forces into crisis, and how rapidly crises can develop. That’s the message in a soon to be released paper, Regime shifts in ecological systems can occur with no warning, by Alan Hastings, University of California Davis (USA) and Derin Wysham, John Innes Center (Norwich, UK). Predictably the general media headlines will look like this: “Top scientist says global warming tipping points hard to predict.” In today’s global warming PR climate, that’s probably all too often going to be read as: “Scientists admit they can’t get a handle on global warming.”
Ironically, global warming tipping points are difficult to predict, as is attaining precision and certainty for huge dynamic (often changing) problems such as climate change. It’s ironic, because with good intentions (and often not) people will use what is uncertainty at the margin (90% probability, 10% uncertainty) to cast a pall of doubt over the whole issue. Most of the scientists involved would happily take the 10% that they are wrong; but they can’t because most of what they are seeing in the data (e.g. facts) tells them the 90% is the way to bet. Then along come scientists such as Hastings and Wysham, telling them that while the probability of global warming may be high, in fact, the severity and suddenness may be worse than expected.
Alan Hastings in particular is well known and acclaimed in the ecological community for his ground-breaking computer models of biological problems. The models developed for this paper concentrate on the ecological impact of global warming. As Hastings describes it…
In short, even with global systems, changes can happen unnoticed until they become really bad. It speaks to the whole problem: If you set up the conditions where tipping points may occur, then you may have no recourse but to endure the consequences.
Some may regard this attitude as unduly pessimistic…even fatalist. Others would say it forces us to deal with the root causes of global warming – the indiscriminate emission of greenhouse gases. Still others would counter that getting enough of the world to limit greenhouse gases means limiting economic growth, which isn’t going to happen – and so back to pessimism. This new study tends to reinforce the idea that we’re likely to have some nasty surprises, which will be very difficult to avoid.