... right now I'm actually more interested in getting someone to help me with some computations related to climate networks and El Niño! This seems like a quicker route to doing something related to global warming than Petri nets. Also, I've been invited to speak at NIPS, a conference on neural networks and machine learning, and if we could get something done by December I could present that work.
This is a short video that explains the issues in a simple way:
* [ScienceCasts: El Niño - Is 2014 the New 1997?](http://youtu.be/zaxPwASV2kY).
This is the new paper that created a stir:
* Josef Ludescher, Avi Gozolchiani, Mikhail I. Bogachev, Armin Bunde, Shlomo Havlin, and Hans Joachim Schellnhuber, Very early warning of next El Niño, _[Proceedings of the National Academy of Sciences](http://www.pnas.org/content/early/2014/02/07/1323058111)_, February 2014.
It's not free, but I sent copies to some of you Azimuthers, and I can send it to others too. A lot of the methodology seems to be in in this free paper:
* Josef Ludescher, Avi Gozolchiani, Mikhail I. Bogachev, Armin Bunde, Shlomo Havlin, and Hans Joachim Schellnhuber, [Improved El Niño forecasting by cooperativity detection](http://www.pnas.org/content/early/2013/06/26/1309353110.full.pdf+html),
_Proceedings of the National Academy of Sciences_, 30 May 2013.
I suspect there are methodological problems with these papers, but that gives us things to do!