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Helping people learn skills in the Knowledge economy

One of the things that gets us excited here at MobileWorks is the opportunity to put our technology to use to find solutions to big social problems. Over the past several months, we've been working with a handful of organizations in New York on a pilot initiative that is very central to our social mission -- enabling upward mobility in the Knowledge economy for underemployed or unemployed people.

Today, in partnership with the New York City Economic Development Corporation and a handful of other local partners in New York, we're excited to announce a series of pilot programs called LINK --Leveraging Innovations and our Neighborhoods in the Knowldge economy. The programs are designed to increase computer skills and strengthen employability of participants who've had limited or no access to formal computer training. The goal is to provide participants with training in computer basics--everything from word processing to photo editing--and at the same time give them the opportunity to do real-world projects using these skills to earn money while they learn. Students can take certifications to qualify to work on real-world tasks from real customers while putting their recently learned skills to the test. You can read the NYCEDC press release here.

This "Learn and Earn" platform was developed by MobileWorks by adapting our advaned crowdsourcing technology to help combat the challenges of digital literacy. We're really excited and bullish about the potential of these typs of programs to make a difference in communities around the U.S. Interested in this type of program in your area?  Contact us and let us know how we might partner together.

Can startups fight unemployment? Introducing Work for America.

There’s been a lot of talk lately about why startups don't spend time attacking big social problems.

Here’s an idea.  What if the network of disruptive startups being created in Silicon Valley could band together to disrupt unemployment itself, right here in the US? Today, we’re announcing a new experiment to try and do exactly that.

MobileWorks, Inc., has partnered with civic agencies in the US to start letting organizations throughout the web and all over Silicon Valley work with American workers in job training programs for short online work projects over three-month engagements.

We're calling it the Work for America program, and we're putting out an open call for any interested companies or individuals to pick up the last few slots. For the next seven days, Work for America is giving away heavily-subsidized project work for $600.  

It's a chance to get some high-quality work done right here in the United States while helping US workers in need develop basic technology skills.

 

 

What can you get done?

After the program ends, participants will be able to take skills learned working on Silicon Valley’s projects with them as they’re placed into full-time jobs in their own communities.

For this experiment, we're making 150 projects available.  To make sure they run out fast, we’re opening this up to the public for just 8 days starting today.

Can Silicon Valley
disrupt unemployment in the rest of America?  We can try.  Let’s see what we find out. Click here to reserve a project.

New Year. New Look.

Happy 2013!

Today we're launching a new look and a redesign to help improve our service specifically for our MobileWorker community. 

We've been hard at work, gathering feedback and giving our service a makeover so it's even easier to use and earn money as a MobileWorker. 

Next time you sign in to your account, you'll notice a whole bunch of improvements, including:

  • Choose which type of tasks you'd like to do.
  • A new certification system so that you can qualify to work on a variety of tasks, everything from video analysis to transcription. The more certifications you earn, the more types of work you'll be able to complete.
  • New, easier-to-use service with a fresh design.
  • The opportunity to learn new computer skills.

 

    If you are an existing MobileWorker, all of your current account statistics and payment balance will remain the same. Any certifications you've earned will carry-over to the new system. To help familiarize you with all of the improvements, next time you sign in you'll have the opportunity to follow a brief walkthrough that will familiarize you with the new interface.

    We're excited about these changes and are eager to hear your feedback!  Let us know what you think.

     

    MobileWorks solves the "find-the-worker" problem on Elance

    In Reuters, Jeremy Wagstaff explains how MobileWorks has a leg up on outsourcing and on freelancer marketplaces like Elance

    "In the past couple of years, other startups have tried to mend weak links in the chain. A potential employer posting a project on Elance or oDesk, for example, can be overwhelmed by applicants - making it difficult for them to find the best freelancers quickly, and harder for freelancers to stand out from the crowd.

     

    Kulkarni hopes to solve this problem by having his startup MobileWorks train workers to guarantee quality, and by breaking down projects into micro-tasks to lift less-skilled workers onto their first rung. Tasks range from transcribing hedge fund forms to generating sales leads.

     

    'This is moving the entire BPO industry - that was dominated by these large middlemen organisations that take most of the profits - to the cloud,' says Anand Kulkarni, an academic-turned-entrepreneur. 'Now you no longer need to be able to afford Infosys rates to be able to get quality results out of an outsourcing system.' "

     

     

     

     

    MobileWorks introduces Political Sentiment Analysis powered by crowdsourcing tweets

    With the MobileWorks crowdsourcing platform, anyone can analyze large sets of data that are simple for humans, but difficult for computers to understand. In the spirit of the upcoming U.S. 2012 Presidential Election, we initially ran a small experiment to show how - without any programming knowledge - anyone could build a high quality, data driven, analysis on a subject. For this experiment we chose to show America’s play-by-play reactions to this year’s presidential election.

    For this initial test we collected 900 tweets (data points) between September 10th and September 11th, 2012. We sent this data via our BrainPower API to our distributed workforce to answer two questions per tweet for us. First question: “What political party is the tweet about?” Of the 900 tweets, 39% were categorized as either about the Republican Party or Democratic Party. The rest were about other parties or other aspects of the election not related to a specific party or not about the election at all. Second question: “What is the sentiment of the tweet?” Is the tweet Positive, Negative, or Neutral about the Political Party? The graph below best shows the results.

    Sentiment Analysis is a great example of data that is difficult for computers to process but easy for humans. These simple, repetitive, context related tasks showcase the true power of the MobileWorks crowdsourcing platform. Measured over time (as you will see in the next blog post) a business can easily see how consumers feel about their brand. If you are interested in how to create your own version of this experiment or something a bit more complex Contact Us. This process has hundreds of variations but here’s some examples of how a similar workflow could be used within your business’s twitter-universe:

    • Rather than a catch-all reply to any @mention, an intelligent reply could be generated within a specific set of options
    • Use this same process to analyze the sentiment of any subject, including your company's twitter followers
    • Marketing to potential customers with intelligently designed messages: “Does anyone know when Metallica will be in SF again?”, your event ticketing company twitter account replies with “Hi @MetallicaFan Buy your Metallica tickets for SF – February 1st, 2013 at TheBestTicketingPlace.com/Metallica-SF/”


    We will continue to gather and analyze data up until the day after the 2012 U.S. Presidential Election and periodically update our blog with analysis. If you are interested in receiving updates subscribe to our mailing list.

    Comment below with any questions, ideas for other twitter analysis, or if you just think its cool!

    - Florian Mettetal

    TechCrunch reports on our millionth task

    MobileWorks finished its 1 millionth task this month, and TechCrunch has the story:

    MobileWorks set out with a different approach (and a social mission) — to pay workers fair wages and create a collaborative online work environment in which microwork would become less anonymous and more like a self-organizing virtual office. The startup believes that this approach can lower the cost of obtaining quality work or results, pay fewer workers more and, in so doing, enable non-enterprise (i.e. smaller companies) to tap into the benefits of crowdsourcing.

    The company announced today that its workers have collectively completed one million commercial tasks since launch. What’s more, companies have effectively outsourced five continuous years of work in the last year by hiring its cloud-based crowd, which the team believes is a testament to how much businesses can accomplish by collaborating with a virtual labor pool.

    ...

    MobileWorks automatically identifies its brainiest members and calls on them to manage the rest of the crowd, with the top one percent of the workforce being able to review everybody’s performance, train workers, hire and fire, and review answers. It’s potentially dangerous, but it also has a lot of advantages. The brainier members of the crowd don’t feel like they’re bored or being held down, others get a sense of the opportunity for upward mobility. What’s more, the crowd is just much more likely to be content and produce good work if it’s policing and monitoring itself, instead of feeling like Big Brother is watching. And that’s good for business.

    There are a lot of underprivileged, underemployed workers out there in developing parts of the world who can be trained to be effective workers within MobileWorks’ framework — which, in turn, can help lift them up.

     

    Crowds for a Cause: we're giving away a month of free work.

    To celebrate the one-year anniversary of our crowd computing platform, MobileWorks is providing one full month* of accurate crowdsourcing power to an inspirational nonprofit, government entity, or academic institution that is working to make the world a better place. Interested? Tell us why your favorite organization should be accepted and what they would use the MobileWorks crowd to do by applying before August 30.

    Image credit: Will Clayton

    What could your favorite organization do with one month of free time with the MobileWorks crowd? Some examples might include:

    • Generate a list of 10,000 new leads to register for bone marrow donation
    • Turning stacks of paper into digital files for a local health clinic
    • Eliminating all the duplicate names in a database of donors
    • Transcribing hours of audio from your library's archives
    • Labeling millions of proteins to discover new treatments for disease
    • Categorizing all the archeological data discovered at a recent dig
    • ...limitless other possibilities!

    Any charity, research group at an academic institution, or non-profit organization is eligible to apply. Apply here using this entry form. And help spread the word!

    Not a nonprofit organization?  You can still use the MobileWorks crowd to get just about any online work done for just $5 an hour.  Try it out now or drop us a line at hello@mobileworks.com.

     

    *That's equivalent to 30 full-time person-days!

     

    MobileWorks isn't the anti-Turk: it's Turk 2.0.

    The East Bay Express writes about how MobileWorks aims to fix what's wrong with crowdsourcing:

    On the eleventh floor of an office building in downtown Berkeley, a few UC Berkeley School of Information alumni think they may have found a different way. MobileWorks isn't according to Kulkarni, the anti-Turk— it's more like Turk 2.0. Kulkarni and his cofounders are mostly computer scientists by training, and they're big believers in both the promise and the inevitability of crowdsourced work — they just think it can be better. "Turk was a great idea, but it was a nightmare to use," explained Kulkarni — from both sides of the equation.

    "Obviously, from the perspective of the workers, folks would be working for hours at a time just to make a few cents," he said. A couple years ago, Kulkarni himself went on Turk, just to see how long it would take him to earn a dollar. It took more than an hour. "It was incredibly painful," he said. "It's so difficult to earn a living wage."

    The irony is that requesters aren't even necessarily getting what they want out of it either. "You'd get right answers sometimes, wrong answers sometimes, and you'd never know if your results would get completed," said Kulkarni. Part of the problem with paying people so little — and doing so in a completely anonymous, decentralized system — is that people have a huge financial incentive to game the system. Chirag Ahuja, the inbound marketing director for a company called TranscribeMe, said that the inaccuracy and slow turnaround time associated with Turk eventually made his company move away from the service. "Accuracy was good about 70 percent of time. The [other] 30 percent was spam," Ahuja wrote in an email. "Workers were submitting spam and expecting to get paid."

    But Kulkarni and his co-workers think they've found a solution to that, and it's a simple one: "We believe that as soon as you're paying people a fair living wage, they don't need to cheat the responses," he said. "They're just a lot less likely to scam the system." MobileWorks isn't a charity, like Samasource, which means it's intended to work within the system, rather than alongside it. Employees work from mobile phones and cheap laptops; the majority of them are women, and all of them are based in the developing world. They get paid roughly twice as much as Turkers do, according to the company.

    10,000 new microwork jobs in Jamaica

    We're pleased to announce that MobileWorks has just made a deal facilitated by the Jamaican government to use MobileWorks as the centerpiece of a brand new online work industry for the country.

    MobileWorks was chosen due to our stated commitment to "fair trade" work practices and the technical openness of our platform -- anyone can build out their own service applications to market in the West and generate local work, and young developers in Jamaica have already started building local businesses on MobileWorks. 

    As far as I know, this is the first time a government has embraced the potential of crowd work as an alternative industry to traditional employment models: they are explicitly rejecting traditional models of working with conventional outsourcing providers and large companies, and picking up crowdsourcing as the future of work for Jamaica and a model for high-unemployment regions in the Caribbean.  

    The hope is that as crowd computing and microwork expands, it will disrupt and replace the knowledge outsourcing industry that's been owned by India and China.

    You can read the story in the Jamaican press, here and here.

    What did people crowdsource with MobileWorks in 2011?

    Here at MobileWorks, the next-generation replacement for Amazon's Mechanical Turk, we've processed nearly half a million crowdsourcing and human computation tasks since launching in mid-2011. 

    We've built a platform that's powerful and versatile, but we're still constantly surprised by the ingenious uses of human brainpower that our customers come up with. 

    So, what did people crowdsource through MobileWorks in 2011? Here's a breakdown of the 7 most popular and most innovative tasks we saw:

    #1: Human-powered search and information collection

    Organizing the world's information constituted nearly 30% of our brainpower usage this past year. While modern search engines do a great job at gathering the individual pages you want, they can't yet deliver the exact information you need.

    What do you do if you want to find the homepages of 1000 people working as software engineers and willing to move across the country to take a new job? How about if you want to generate an up-to-the-minute database of the most popular products sold on Craigslist in San Francisco? What if you need to generate a verified list of leads for a sales team, like 100,000 restaurant phone numbers in New York City? 

    In these situations, Google may be able to deliver individual pages for you, but it isn't able to extract and collect exactly what you're looking for. A trained crowd is still the best way to get it done.

    We aren't surprised that this task is so popular, as the ability to quickly gather this sort of information is enormously valuable for recruiting, lead generation, and maintaining databases. 

    (If you're interested, MobileWorks has a dedicated application for web scraping: the Excavator.)

    #2: Text extraction: OCR, handwriting recognition, form digitization & data entry

    Digitization exploded in 2011, fueled in part by the medical industry's push to move paper records to digital ones.

    Why use the crowd for a classic AI problem like OCR?  Although plenty of software-based OCR solutions exist, they're often expensive and aren't great at understanding handwriting that's a little sloppy or unusual. They trip up on documents with mixed typefaces or changing orientations. Simply put, they can't handle corner cases. Crowds provide a completeness and robustness that traditional OCR doesn't.

    On top of that, lab research shows us that crowd solutions can digitize documents that are simply beyond the capabilities of OCR software. In one experiment by our friends at MIT, a crowd deciphered this handwritten note:

    image credit: Greg Little, Lydia B. Chilton, Robert C. Miller, and Max Goldman, HCOMP 2010 

    You misspelled several words. Please spellcheck your work next time. I also notice a few grammatical mistakes. Overall your writing style is a bit too phoney. You do make some good points, but they got lost amidst the writing. (signature)

    Let's see OCR do that!

    In 2012, we expect to see more and more companies with piles of paper choosing to send their work to the MobileWorks crowd to be digitized, rather than investing in developers or OCR software solutions.

    #3: Tagging and sorting

    As the web produces more user-generated content is produced -- photos, podcasts, and more -- more of it needs to be tagged by humans. Don't just think of your pictures on Flickr and Facebook: MobileWorks received requests to tag user-generated content in games, relevant segments in videos, and customer phone calls for automatic follow-up.

    #4: Content filtering

    Was that post naughty or nice?  Machines do a good job keeping pill ads out of your email, but for almost all other kinds of content – marketplace listings, advertisements, and more – humans beat machines every time in checking whether content is relevant, interesting, and on-topic.  More companies are finding that it's simpler to use a one-line crowd solution than try to fight a technological battle against spam.

    #5: Advertising analysis

    The popularity of ad-distribution networks sometimes means that advertisers don't know where their ads end up on the web. It's critical to understand the content of an ad and an article to avoid slip-ups like this:

    Image credits:  The Stupidity of Scripts, James Duncan, Flickr

    We had two common advertising-related tasks: judging which company was behind a particular advertisement, and judging whether an ad was appropriate on a certain page. The cost of slip-ups are in ad placement are fairly high for advertisers and content producers alike, and it's very simple for humans to determine whether a particular combination is appropriate or inappropriate.

    #6 Image recognition and description

    We saw a good number of tasks that involved recognizing objects in images, classifying objects in pictures, or tagging images for a machine learning system to analyze later. These tasks came from a variety of sources, including a number of mobile phone applications letting users ask questions about documents or objects in the real world seen through their cameras.

    This is another application where lab research paved the way: Rochester's VizWiz project allowed visually-impared people to upload pictures from their mobile phones and get descriptions of what they photographed back in seconds.

    #7 Audio transcription and analysis:

    Whenever a podcast is produced or an interview goes up on a tube site, advertisers want to be able to place relevant ads in it. And until speech recognition can deal with complex words, music, and accents, it's still better to use qualified humans.

    And, without further ado, 2011's Task Of The Year...

    Human powered website testing took the role as the most interesting task we saw in 2011.

    It's sometimes difficult when maintaining large projects to write test cases that simulate extended human interaction with all parts of a website. 

    But it's dead simple to ask a human on MobileWorks to carry out a list of tasks on your site and make sure everything's working OK. It's cheap that many developers wanted to include a call to MobileWorks in their "automated" test routines, as a final deployment step.

    What do you want to see crowdsourced in 2012?

    Crowdsourcing is growing by leaps and bounds, and we can't wait to see what the next year will bring.

    If you've got an idea for something you want to crowdsource, what are you waiting for? There's no easier way to crowdsource work than MobileWorks.  Try it today for free!