2012年12月17日星期一

Perspectives on Innovation wow po 7k

Perspectives on InnovationThis post was written by Innovation Program Manager Dan Kuster, who designed and developed a large portion of the next generation Prodigy online scoring system.When we ask Solvers and Seekers how to improve the open innovation experience, we consistently hear about a need for quick and useful feedback. After all, Solvers are committing time and resources for a chance to win an award a Solver, it can be hard to know if it is worth the effort. On the other hand, Seekers feel the burden of uncertainty too, by exposing valuable problems to the world in the hope that someone will have a solution. If it were possible to pre-evaluate a submission, then Solvers would be able to estimate the risk in developing a full solution, and Seekers could manage an open innovation project with greater certainty of the results.The Prodigy online scoring system was developed as an attempt to provide some quick and objective feedback, by providing Solvers with a single number score indicating the quality of their submission, relative to the Challenge Requirements, and to other Solvers. The first incarnation of the Prodigy system compared a Solver predictions to a known answer, and reported how well the Solver was able to predict the known answer. The next generation of Prodigy takes the idea of online feedback even further, by allowing Solvers to upload native R code. A Solver code is dynamically evaluated, in real-time, on our standardized server hardware, where performance can be measured objectively on an independent set of data. For Solvers, this means you can spend your effort developing good code, and when your score is good, you know it is worthwhile to invest the time in making a full submission. An upcoming blog post will show To write R code for this Challenge, make a submission to the Prodigy online scoring system, and see how you stack up against other Solvers.While the Prodigy scoring systems begin to address the need for quick and useful feedback early in the open innovation experience, we realize there are even more opportunities to enable Solvers to focus on the most interesting and valuable solutions, especially beyond the domain of computational or analytical Challenges. Do you have an idea that would make the open innovation experience better? Leave a comment to let us know!TimOBrien |September 30th, 2011 |Seeker Spotlight: Life TechnologiesToday we released a new round of four Life Technologies Grand Challenges wow po. The three Challenges are Speed, Scalability, and Accuracy. The speed Challenge is centered on going from genomic DNA to pressing the start button on the Ion Torrent Personal Genome Machine(TM). If a Solver can do that in half the amount of time as we can do it, they win $1M. The focus on the scalability Challenge is to get more data from a single run of the PGM either by generating more reads or by my making the reads longer. If a Solver can double the throughput of a single run, you win $1M. Finally, the accuracy Challenge. The accuracy Challenge is unique in that it is purely a bioinformatics Challenge and Solvers don need to have a PGM to participate. The goal here is to take a subset of reads in which the bases calls are 99% accurate and develop a better signal processing algorithm to make them 99.5% accurate. Since these Challenges all involve core pieces of the platform, we continue to work on them along side Solvers wow gold. Each quarter we release the current benchmarks along with protocols and software used to generate them and Solver have three months to work on and submit a solution. At the end of the three month if the Challenges remain unsolved, we update the benchmarks and the process starts over.Wow, $1M that's a pretty big prize pool? Why are these Challenges so important to Life Technologies?It is about shared innovation, semiconductor sequencing in and of itself is built on innovations that happen from many others across a wide range of industries. For example the computing industry, semi-conductor industry, sequencing manufacturing industry, etc. Additionally, a lot of what we are doing is open source like our software where we release our source code. The Grand Challenges represent a continuation of shared innovation. We realize that there are a lot of really bright people in this world. Why not empower them and leverage their insights and innovation by building a community and platform where they can openly share their ideas.(more class="postmetadata">TimOBrien |September 30th, 2011 |(Comments Off)Upcoming Webinar New Tool for Computational and Bioinformatics ChallengesHello InnoCentive Blog Readers:I am writing to tell you about a upcoming event that may be of interest to you. On March 30th at 11AM (EST), I will be hosting a 1 hour webinar for Seekers interested in learning more about what InnoCentive does for Computational and Bioinformatics Challenges. I am planning on discussing InnoCentive's work with global Seekers and how we have been able to deliver an 80% success rate for Challenges in those disciplines. Plus, as you may have seen in my most recent blog post, we just launched the Prodigy tool and I will speak about how it is revolutionizing data-oriented or computational Challenges wow gold ideal. Lastly I will conclude the webinar with a brief question and answer period. This is a fantastic way to learn about best practices of running computational and bioinformatics Challenges and how to maximize your success with future Challenges!Everyone is welcome to attend no matter if you're a new Seeker, an experienced Seeker looking to expand your deployment of Open Innovation or even, perhaps, just a curious Solver. The identities and affiliations of all attendees will be kept confidential.Leave a comment here if you have any questions about the webinar.Hello Readers! I am writing to tell you about some exciting news from the Client Services group at InnoCentive.Just last week we launched an exciting new Challenge entitled Predictive Data Analysis wow gold. This $100,000 Challenge asks Solvers from all backgrounds to build a predictive model based on a complex dataset. I know, $100,000 on its own makes this Challenge quite special. But, there is another really cool feature that's so noteworthy - The Prodigy. This website feature allows enables Solvers to get instant feedback on how well they're doing in comparison to other Solvers. Sound exciting? Let me tell you a bit more.First, a bit of background. The Predictive Data Analysis Challenge asks Solvers to build a model using a large dataset in order to estimate the relative performance of various breeds of an organism. We have provided the molecular and performance data on 100 breeds of the organism and ask Solvers to estimate the relative performance of an independent set of 150 breeds based on their molecular data. The Prodigy allows Solvers to upload the relative ordering of the breeds and then it will instantly be compared to the known answer provided to InnoCentive by the Seeker. After submitting, the Prodigy will provide Solvers with their score, their ranking and if they are within the top 10 best submitted scores thus far, their username will appear on the leader's table.This feature is obviously not amenable to all of InnoCentive's Challenges. However, we think that it will encourage you to continue if you're on the right track and to go back to the drawing board if you aren't Acheter Des PO! We recommend that you log into the Predictive Data Analysis Challenge and let us know what you think about the Prodigy. We'd love to hear from you in the comments section below.
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