uka Kompetisi Data dan Aplikasi: kasus NYC BigApp 3.0


Introduction
The view toward crowds and their involvement in society has replaced by way of time. They have been first viewed as irrational protest teams watching to create riots. Later the crowds have been viewed as rational protesters hard these in powers. Now they're viewed as resolution service to issues (Wexler 2011).



The personal sector has actively used the gang for its merit in huge industries akin to safety program program (Franke & von Hippel 2003), laptop video games (Prugl & Schreier 2006; Jeppesen & Molin 2003), integrated circuits (von Hippel 1998), athletic sneakers (Piller & Walcher, 2006) and construction amongst many diversified industries (von Hippel 2005).


Even although the utilization of crowds for issue fixing will be traced again to many years or centuries (Quill 1963; Wexler 2011), it's been with the Web 2.0 that it has increase into a well-known methodology for these in search of manner to problems. The collaborative sides of Web 2.0 adds the wanted instruments for reaching a centred viewers that may foster communities that may grow creative answers to problems.

The success within the personal sector with the utilization of the gang has shifted the belief of a few government and now additionally they search to collaborate with their residents for issue solving. This shift have allowed governments to open their guide to the public and as such behave as structures (O’Reilly, 2010) fostering entrepreneurship, innovation, cost advent and financial increase (Lakhani et al 2010; Noveck 2009; Foutnier-Tombs 2011).


By commencing their data, governments create datasets which might be accessible in open codecs with licenses that permit its utilization in diversified methods (Davies 2010). This implies that an open government dataset will be mashed with diversified datasets from any diversified sources in countless ways. To exploit these countless mashups possibilities, governments can create ideation competitions that sell the utilization of the open guide (Nam 2012). This pageant technique was lucrative for Washington, DC. They have been capable to received 47 programs in 30 days with an envisioned cost of US$2.6 million by simply providing US$25,000 as prize for the greatest application (Lakhani et al 2010). The success of this contest impressed diversified towns and governments to do the same.


Idea pageant has shown to be a a success program program for issue fixing (Howe 2006, 2008) and new product trend (Piller & Walcher 2006) within the personal sector. On the diversified hand, the public sector has primarily applied it as a promotional program program to incentive the utilization in their open data. However, little is identified concerning the programs advanced throughout the pageant as soon because the pageant has finished. The objective of this examine is to discover the standing of those programs as soon because the competitions are carried out and speak their sustainability.


This examine maintains by first describing the examine methodology after which by presenting the effects of the findings. The fourth and remaining phase adds the implications of our findings, a temporary discussion and the concluding remarks

Study method
To discover the standing of programs that make probably probably the foremost of open guide after a pageant has finished, this examine facilities on the case of NYC BigApps 3.0. NYC BigApps 3.0 was an application pageant sponsored by the metropolis of New York between October 2011 and April 2012 for program program developers to create new programs that may assist these that dwell and go to the city, as properly because the agencies that function in it. For an application to participate, it ought to make use of no less than one dataset of those accessible within the NYC open guide catalog.


The methodology applied on this examine comes to a two-step approach. First a content material evaluation of the rules, targets and prizes of the contest was done. Secondly a thorough evaluation of all of the programs submitted to the contest was conducted. A checklist of all submitted programs was stored on the official webpage of the contest (http://2011.nycbigapps.com/submissions). The checklist contains a textual content material description, a hyperlink and a video of the functionalists for every application.


Surveying developers that participated within the pageant might supply an perception on motivations that may have an effect on the sustainability of the applications. However, content material evaluation can supply a thorough realizing of the points affecting the sustainability of those programs (Fournier-Tombs, 2011).

NYC BigApp 3.0
The contest
The NYC BigApps 3.0 was the third model of the NYC BigApps annual contest. This model supplied US$50,000 in prizes plus the probability for the profitable app to reward its application at NY Tech Meetup . Additionally, all of the winners have been brought into the BigApps Founder Network, a community that adds assist within the manner of mentor send and networking to successfully construct a startup.


The contest was collectively created by New York City’s Department of Information Technology & Telecommunications and the Economic Development Corporation with the objective of fostering the trend of programs that would deliver entry to news for the residents of New York and transparency for the govt. of the city. These programs would also boost the interactions that diversified actors would have with the city. Secondly the pageant appeared to inspire innovation and cost advent to incentive financial increase by citizens, startups or small organizations.


The pageant began accepting submissions on October 11, 2011 and stopped on January 25, 2012. They received a whole of 96 programs on this interval of time. After the submission interval ended NYC BigApps 3.0 began a public voting interval that was prolonged from February 9 to March 8, 2012. The public voting consistent on sign up customers from NYC BigApps 3.0 internet site to vote on their favourite application submitted to the contest. More than 9,000 customers registered and have been allowed to put up one vote per day for every application they discovered to be their favorite. The objective of this public voting was to decide on the winner for the primary and moment prize on the “Popular Choice Award” category.


To decide on the winners of the diversified 11 categories judges have been appointed by the creators of NYC BigApps 3.0. A whole of 15 judges, who all had senior positions in diversified technology associated organizations, judged every application founded principally on the superb of the idea, its implementation and the strength effect it might have in New York City. Each class had a subject and every application was categorized to suit in a category. A checklist of the diversified categories for the contest will be viewed in Table 1.


The submitted application wanted to be an authentic work from the submitter and was loose to mash any guide as lengthy because it used no less than one dataset from the open guide portal of NYC . This supplied countless options of applications. They in simple terms constraint was that the application wanted to be loose for the public for the period of the pageant plus no less than one yr after the completion. Any diversified dataset applied by the developers wanted to supply this requirement. Additionally the contestant wanted to put up a hyperlink to the application alongside with a video and a photograph of the application working, as properly as a textual content material description of it. The contest was open to any sort of program program application akin to mobile, internet or SMS.


Table 1: NYC BigApps 3.0 categories

Category

Requirement

Best Overall Application - Grand & Second Prize

based on quality, implementation and strength impact

Investor’s Choice Application

based on strength of commercialization

Best Mobility Application

make it simple to transfer round NYC

Best Green Application

encourage environment sustainability

Best Education Application

include, inspire or deliver awareness of academic aspects

Best Health Application

include, inspire or deliver awareness of well being aspects

Best NYC Mashup

utilize APIs from partaking firms with the Open Data of NYC

Best Student Award

applications submitted by students

City Talent Award

for workers of the native government of NYC

Large Organization Recognition Award

for firms with extra than 50 employees

Popular Choice Award – Grand & Second Prize

most legitimate votes





All submitted programs had an probability to be chose to take part within the TechStars program , given that they have been also going to elect NULL programs from the pool of programs within the contest. This partnership surely flags the intention of making programs that may remaining longer than the contest itself.

The applications
After one yr handed from the pageant we might discover that from the eleven profitable programs within the contest in simple terms NULL have been now not working. However, in simple terms five had any replace given that the pageant had completed. From all of the programs in simple terms 35% of them had been up to date no less than as soon as after the give up of the contest and 28% have been now not available.


The contest was open to any sort of program program application. However, participants principally submitted programs for internet or cell platforms. Only considered one of the programs was submitted that labored founded principally on SMS. Mobile application have been probably probably the foremost submitted being 56% of all summations, adopted by internet programs with 38%. Interestingly 5% of the participants submitted a mix of programs for internet and cell platforms.


From all of the cell programs submitted in simple terms 72% of them have been nonetheless operating one yr after the contest submission deadline but in simple terms 28% of the whole had been up to date given that the submission deadline. In the case of internet programs 69% have been nonetheless operating and 47% had indicators of an replace after the submission deadline had passed. For these that submitted application for equally internet and mobile, all of them had their programs operating but in simple terms NULL of those programs had any signal of updates. Table 2 adds additional info on operating and non-working programs submitted to the contest.


Table 2: operating and non-working programs founded principally on sort of application



Non-working (total)

Non-working   (Percentage)

Working/not   up to date (total)

Working/not up to date (Percentage)

Working/ up to date (total)

Working/ up to date (Percentage)

Mobile

15

27.8%

24

44.4%

15

27.8%

Web

11

30.5%

8

22.2%

17

47.2%

Mobile & Web

0

0%

3

60%

2

40%




From the evaluation of all of the programs we might staff programs founded principally on the guide supply applied in every applications. The first staff was founded principally on these programs that exclusively used the guide positioned on NYC open guide portal. This teams was comprise of 41 programs have been in simple terms 19.5% of those application have been nonetheless operating and had signed of an replace after the pageant had completed (see Table 3).


The moment staff was shaped by these programs that had mashed accessible guide from diversified sources. Some applied generally accessible APIs, akin to these from Google Maps, Bing Maps, Twitter or Foursquare alongside with these from the NYC open guide portal. This staff was shaped by 35 programs and 40% of those programs the place nonetheless operating one yr after the pageant and had been up to date no less than as soon as given that then.


The third and remaining staff was shaped by programs that applied diversified accessible guide simply identical to the moment staff but in addition generated guide by their users. This staff was shaped by 20 application the place 60% of them the place nonetheless operating one yr from the contest and had been up to date no less than as soon as given that then.


Table 3: operating and non-working programs founded principally on guide source



Non-working

Working/not updated

Working/ updated

First group: exclusive NYC open data

31.7%

48.8%

19.5%

Second group: distinct sources of data

31.4%

28.6%

40%

Third group: distinct sources of guide plus person generate data

15%

25%

60%



Discussion and conclusion
NYC BigApp 3.0 surely confirmed an pastime on the trend of programs that may deliver cost to the citizens, industry and vacationer of New York City. They created partnership with diversified startups accelerators and supplied networking and industry trend assist a lengthy with money prizes. However, in simple terms 35% of all programs had signed of nonetheless being working.


Those programs that exclusively used guide from the NYC open guide portal had the optimum options of being left outdated  meaning that their developers had handed to diversified projects. Those that used distinct sources of guide and engaged with new person generated guide had the optimum survival rate, no less than one yr after the pageant had finished.


The programs that mashed guide from distinct sources alongside with that of the open guide portal can teach to be handy for diversified communities. On the diversified hand, these that also mashed person generated guide to their distinct guide sources proved to be extra sustainable and supplied increased cost to the communities.


Value will be created in lots of diversified ways. Mashing diversified datasets or providing visualization instruments to diversified datasets can monitor news in methods that may transfer market (Lakhani et al 2010). In the case of BigApp 3.0 the programs that applied exclusively with guide from the NYC open guide catalog didn’t mashed diversified datasets in distinctive ways. They principally applied one or NULL datasets and displayed the news that it contained. This can supply sure cost to these that don’t perceive how one can use the open guide set and assist cut back the guide dive (Gustein 2011), but no financial cost or innovation come from that source. Few programs within the contest applied diversified datasets to produce new data, and these who did this teach to maintain operating on improving these applications.


The success of a contest has to contain the effect that the consequence has (Nam 2012). Applications that remaining longer durations than the contest can have increased effect on the communities. Open guide projects should appear additional than concept pageant to assist the utilization in their open guide catalogs. Providing tuition to residents on how one can use the open guide can deliver awareness to the open guide (Gustein 2011) and assist constructed extra sustainable programs that may remaining longer than the contest.


This examine has a few limitations. The examine focuses exclusively in a single contest in New York City, many diversified towns within the international have implemented identical contest and findings from these contest can reward diversified features of sustainability founded principally on the accessible sources of guide or partnership of the contest sponsors. More studies is wanted to recognize our realizing of application sustainability after an open guide contest. A subsequent step for this studies is to discover diversified circumstances and to habits survey on motivations of the participants to have a clean view on points that have an effect on the sustainability of those applications.

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