by Andrew Su | Feb 3, 2014 | BioGPS, bioinformatics, crowdsourcing, jobs, recruiting
There is currently no higher priority for our group right now than recruiting 2-3 new postdoctoral associates to join the lab. We are lucky enough to have very stable funding over the next few years, so these are already-funded positions waiting to be filled ASAP. I...
by Andrew Su | Dec 4, 2013 | bio-ontologies, bioinformatics, BioThings, breast cancer, community intelligence, community-annotation, crowdsourcing, games, grant, mass collaboration, semantic web
I offer an idea, and a proposal… What: We want to structure biological knowledge by annotating BioThings (genes, proteins, mutations, diseases, and drugs) in biomedical research articles. We want to comprehensively annotate the mentions of these BioThings in...
by Andrew Su | Sep 5, 2013 | citizen science, crowdsourcing, Gene Wiki, GeneWikiRenewal, mark2cure
This is the fifth and final blog post in a series on our Gene Wiki renewal. More details below. Crowdsourcing is all about motivating large groups of individuals to collaboratively achieve some shared vision. For example, the Wikipedia crowd primarily uses...
by Andrew Su | Aug 16, 2013 | crowdsourcing, Twitter
Since I prematurely reentered grant writing hell, there’s been a bit of delay with the last segment of my blog series on our Gene Wiki renewal proposal. editing and proofreading services But in the mean time, I did want to share one interesting vignette that is...
by Andrew Su | Jun 8, 2013 | collective intelligence, community-annotation, crowdsourcing, database, genomics, wiki, wikipedia
Model organism databases are great. They span a spectrum of model organisms as diverse as mouse, rat, fly, worm, zebrafish, yeast, and E. coli. And they fulfill key roles for their respective communities, from warehousing key genomic data, to providing query and...
by bgood | Apr 6, 2012 | class prediction, classification, crowdsourcing, games, gwaps, hgf, machine learning, random forest, sulab
Yesterday I posted some slides about an idea I had recently which I call Human Guided Forests or HGF for short. This an attempt to marry crowdsourcing with machine learning to produce better class predictors for datasets with very large features spaces....
