Crowsourcing Awareness:
"To augment the use of these space technologies, virtual communities of group intelligence - called "Crowdsourcing" - can aide in emergency planning and post-disaster coordination."
For future reference...
At the same time, a crowdsourced article:
"We began the crowdsourcing by collecting a list of possible rules for the article via a git-controlled repository"
SVN would be so 2000-ish...
"A band of space hackers and engineers are trying to do something never done before - recover a 36 year old NASA spacecraft from the grips of deep space and time. With old NASA documents and Rockethub crowdfunding, a team led by Dennis Wingo and Keith Cowing is attempting to steer ISEE-3, later rechristened ICE, the International Cometary Explorer, back into an Earth orbit and return it to scientific operations. Dennis says, 'ISEE-3 can become a great teaching tool for future engineers and scientists helping with design and travel to Mars'. Only 40 days remain before the spacecraft will be out of range for recovery. A radio telescope is available, propulsion designs are in hand and the team is hoping for public support to provide the small amount needed to accomplish a very unique milestone in space exploration
Foldit takes a hybrid approach. The Rosetta algorithm is used to create some potential starting structures, but users are then given a set of controls that let them poke and prod the protein's structure in three dimensions; displays provide live feedback on the energy of a configuration.
By tracing the actions of the best players, the authors were able to figure out how the humans' excellent pattern recognition abilities gave them an edge over the computer.
Humans turn out to be really bad at starting from a simple linear chain of proteins; they need a rough idea of what the protein might look like before they can recognize patterns to optimize. Given a set of 10 potential structures produced by Rosetta, however, the best players were very adept at picking the one closest to the optimal configuration.
The authors also note that different players tended to have different strengths. Some were better at making the big adjustments needed to get near an energy minimum, while others enjoyed the fine-scale tweaking needed to fully optimize the structure. That's where Foldit's ability to enable team competitions, where different team members could handle the parts of the task most suited to their interests and abilities, really paid off.
Kaggle is an innovative solution for statistical/analytics outsourcing.
We are the leading platform for data modeling and prediction competitions. Companies, governments and researchers present datasets and problems - the world's best data scientists then compete to produce the best solutions. At the end of a competition, the competition host pays prize money in exchange for the intellectual property behind the winning model.
There is this optical neuron that gets stimulated from motion. Mapping it is difficult in the lab: "The stumbling block is a lack of fine-grained anatomical detail about how the neurons in the retina are wired up to each other."
So, use people deciphering from 2D images --> the 3D neuron structure using the human spatial reasoning to figure out what is part of a branching cell and what is just background noise in the images (yet incomparable to their best algorithms' performance)
120.000 users so far mapped
2% of the retina
Old post from Luis brought back from graveyard.....
At least two good ideas to put there:
1) tipping points prediction
2) planetary phases for trajectory transfer
and probably many more if we think about it a bit more