Citizen Science Grid

The Citizen Science Grid is run by Travis Desell, an Assistant Professor in the Computer Science Department at the University of North Dakota. It is hosted by UND's Computational Research Center and Information Technology Systems and Services. The Citizen Science Grid is dedicated to supporting a wide range of research and educational projects using volunteer computing and citizen science, which you can read about and visit below.

DNA@Home

The goal of DNA@Home is to discover what regulates the genes in DNA. Ever notice that skin cells are different from a muscle cells, which are different from a bone cells, even though all these cells have every gene in your genome? That's because not all genes are "on" all the time. Depending on the cell type and what the cell is trying to do at any given moment, only a subset of the genes are used, and the remainder are shut off. DNA@home uses statistical algorithms to unlock the key to this differential regulation, using your volunteered computers.

Climate Tweets

The Climate Tweets project is focused on personal opinions about climate change or global warming. The goal is to sort tweets and view the different views in various countries, how the discussion has changed over time, and how opinions change with political orientation. Classifying tweets allows us to discover patterns and coorelations in people's opinions about our world. It also helps us understand what people know about climate change. Please note that the tweets are unfiltered and may contain profanity or controversial views, and these are not the views of the Citizen Science Grid, any of our team, or funding agencies. Because of this the project is 18+.

SubsetSum@Home

The Subset Sum problem is described as follows: given a set of positive integers S and a target sum t, is there a subset of S whose sum is t? It is one of the well-know, so-called "hard" problems in computing. It's actually a very simple problem computationally, and the computer program to solve it is not extremely complicated. What's hard about it is the running time – all known exact algorithms have running time that is proportional to an exponential function of the number of elements in the set (for worst-case instances of the problem).

Wildlife@Home

Wildlife@Home is citizen science project aimed at analyzing video gathered from various cameras recording wildlife. Currently the project is looking at video of sharp-tailed grouse, Tympanuchus phasianellus, and two federally protected species, interior least terns, Sternula antillarum, and piping plovers, Charadruis melodus to examine their nesting habits and ecology.

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Hi there, I am a chemist and I live in Stuttgart. Professionally I am working as a technical supervisor. Since 2005, I expect at various BOINC...

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[wildlife] status update

So I've found a bit of a bug in the application where it's not training the neural networks quite right. I'm letting the current batch of WUs clear out of the system. I'm hoping to have a fix soon and once I do I'll release a new set of apps and more workunits.

Travis Desell on Wednesday, January 18th
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[wildlife] image credit now being exported to badges.xml

Image credit is now being exported to http://csgrid.org/csg/download/badges.xml as <image_credit>. This should allow signature generators, etc to use the correct image_credit images.

Interface enhancements to the image interface are still being tweaked, but I'm hopeful all will be implemented by the weekend and ready for testing.

Marshall

Marshall Mattingly on Monday, January 9th
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[wildlife] credit and fpops update

Looks like my estimates for fpops (and credit) were quite a bit low. I've increased them by a factor of 6, which I think should be more in line with what we should be awarding, with a little added bonus for putting up with the new app while it's in alpha testing.

Let me know how this works out. All new workunits should be awarded the new amount of credit and have the new FPOPS estimate.

Travis Desell on Wednesday, January 11th
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[wildlife] testing exact assimilator

So far results coming in for the v0.11 app look really good. Not seeing any conflicts as of yet, which is good news!

I've also fired up the assimilator and am watching it manually. It should be automatically generating new workunits as work starts flowing in. Let me know if you have any problesm!

Travis Desell on Saturday, January 7th
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[wildlife] v0.11 apps

I've updated the applications to version 0.11. I believe I've fixed all inconsistencies so checkpointing and validation should really be working correctly now. It took me a bit of time as I had to write a few things by hand involving random number generation that weren't working across operating systems and then double (or triple check) that everything was running the same everyone.

On my Windows, Linux and OS X systems I'm getting the same results, so I hope this should fix those issues so I can get back to updating the assimilator and getting a steady flow of work going!

Let me know if you're having any issues.

Travis Desell on Sunday, January 15th
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