Winter Introductionwrite up Open Gove - Science-by Dilrukshi

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OpenGov: A framework to govern crowdsource marketplace for paid work

Crowdsource marketplaces for micro tasks enable requestors to post and workers to perform task which computers can not perform but collectively humans can perform within a timeframe. Corwdsource labor has been identified as one of the crucial element in 21st century workforce where workers can work depend on their skills, desires, when and where ever they want work. These marketplaces often depend of the workers quality work submissions and requestor fair wages for the tasks. Often, the requestor has the power to accept or reject on work submitted by any worker. The worker may or may not know the reason for rejection. Therefore workers tend to find the trustworthy requesters to perform tasks such as recommendation from Turkoption for Mechanical turk.


However, sometimes neither requestors nor the corwdcource platforms may aware whether the authored tasks were compensated fairly. There are incidents that requestors provide less than the minimum wages, as an example Crowdflower platform was sued by workers for allegedly violating the Fair Labor Standards Act. Workers claimed that Crowdflower is structured and run so that “task requesters can pay micro-taskers less than the legal minimum, perhaps the equivalent of just $2 or $3 per hour.” Crowdflower responded that it doesn’t control the employer/employee relationship, that the FLSA doesn’t apply to crowdsourced labor, and that the recruited employees are not really employees. Workers and requestors has no other option than required to trust each other in a system design to trade labor and service to each other. Crowdsourced platforms sounds next innovation of scattered labor, but it is also without structure and standards—including questions of minimum wages, trust and power of rejection. What protections are there for the online-recruited crowdsourced employee whose employer may simply refuse to pay—or for the crowdsourcing employer whose employee absconds with the product the person was recruited to produce? Although there are positive intention behind many of the crowdsourcing labor marketplaces such as Crowdflower, Mechanical Turk, and other crowdfunded microemployers., it is skeptical for suggesting that social enterprises like these can be cogs in a system of “socially responsible outsourcing. Mainly because these platforms are not designed such that it enhance and co-create a social mission for worker and requestors empowering trust.


We were inspired by cooperativism in organizational behaviour and integrate it as a design goal. We introduce OpenGov , a framework which enhance trust and leverage power between workers and requestors to Daemo - a crowdsourced crowdsourcing marketplace for Microtasks. OpenGov explores the feasibility to solve workers requestors conflicts and mismatches. Thus improve the livelihood of the worker and requestor by populating a control and fare structure. OpenGov consist of a leadership board which responsible for decisions in minimum wages or any issue faced in Daemo. Leadership board consist of selecting X workers y Requestors and z number of Daemo platform engineers.


We hypothesize the Daemo marketplace with OpGove will lead to fair wages, enhance trust and enhance to build a eco system that Dameo stakeholders are satisfied to work. We test our hypothesis using control experiment by injecting common problems artificially and measured the time they resolve within the platform. Our results show that Workers and requestor who had problems in Dameo OpenGov solved the problems 30% faster than Dameo without Open Gov. Our post survey qualitative analyse reveal the detail reasons behind the satisfaction outcomes.