Big Data, Small Apps: Premises and Products of the Civic Hackathon

Carr, Sara Jensen; Lassiter, Allison

doi:10.1007/978-3-319-40902-3_29

Cited by 24 publications

(20 citation statements)

References 2 publications

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“…Since these methods have been used in studies of urban parks for a long time, these methods are often called traditional analytics [45,46]. Some studies have termed these methods as small data analytics when compared to new methods such as big data analytics [47]. In this study, we call these methods traditional analytics to stress their historicity.…”

Section: Literature Reviewmentioning

confidence: 99%

Understanding an Urban Park through Big Data

Sim

Miller

2019

IJERPH

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To meet the needs of park users, planners and designers must know what park users want to do and how they want the park to offer different activities. Big data may help planners and designers gain this knowledge. This study examines how big data collected in an urban park could be used to identify meaningful implications for planning and design. While big data have emerged as a new data source, big data have not become an accepted source of data due to a lack of understanding of big data analytics. By comparing a survey as a traditional data source with big data, this study identifies the strengths and weaknesses of using big data analytics in park planning and design. There are two research questions: (1) what activities do park users want; and (2) how satisfied are users with different activities. The Gyeongui Line Forest Park, which was built on an abandoned railway, was selected as the study site. A total of 177 responses were collected through the onsite survey, and 3703 tweets mentioning the park were collected from Twitter. Results from the survey show that ordinary activities such as walking and taking a rest in the park were the most common. These findings also support existing studies. The results from social media analytics found notable things such as positive tweets about how the railway was turned into a park, and negative tweets about diseases that may occur in the park. Therefore, a survey as traditional data and social media analytics as big data can be complementary methods for the design and planning process.

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Section: Literature Reviewmentioning

confidence: 99%

Understanding an Urban Park through Big Data

Sim

Miller

2019

IJERPH

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“…Open data initiatives like app contests, hackathons and codefests are an interesting example of activities for building capacity by raising awareness, increasing participation and stimulating community-driven development in the smart city domain, especially from citizens. By hosting these events, city governments bring together groups of IT-skilled individuals which are invited to conceive new digital applications to address urban concerns by using public data (Johnson and Robinson 2014;Irani 2015;Komssi et al 2015;Lodato and DiSalvo 2016;Carr and Lassiter 2017;Concilio et al 2017).…”

Section: Strategic Principle 3: Combine Top-down (Government-led) Andmentioning

confidence: 99%

Strategic principles for smart city development: A multiple case study analysis of European best practices

Mora

Deakin

Reid

2019

Technological Forecasting and Social Change

260

184

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Recent studies reveal a deep-rooted division in research on smart cities, which surfaces as a set of dichotomies that question whether smart city development should be based on a: (1) technology-led or holistic strategy; (2) double or quadruple-helix model of collaboration; (3) top-down or bottom-up approach; (4) mono-dimensional or integrated intervention logic. These dichotomies generate a critical knowledge gap because they suggest divergent hypotheses on what principles need to be considered when implementing strategies for enabling smart city development. This paper starts filling such a gap by reporting on the findings of a multiple case study analysis which is conducted into European best practices. In meeting this aim, four European cities considered to be leaders in the field of smart city development are analyzed to test the validity of the hypotheses emerging from each dichotomy. These cities are Amsterdam, Barcelona, Helsinki and Vienna. The results of this best practice analysis offer a series of critical insights into what strategic principles drive smart city development in Europe and generate scientific knowledge which helps to overcome the dichotomous nature of smart city research.

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“…Whether that effort is transformed into valuable innovations is not so clear. Many of the services that they generate are already available in more mature forms from the market (Carr and Lassiter 2017). Johnson and Robinson (2014) argue that more research is needed to conclude whether innovation contests are useful in generating long-term impacts or whether they are mere 'stunts' to create short-term buzz.…”

Section: Organizing Innovation Contestsmentioning

confidence: 99%

“…In the private sector, contests are typically targeted at well-defined (technical) problems, and it is possible to identify some best practices (Ford, Richard, and Ciuchta 2015;Gillier et al 2018). Public sector organizations, in contrast, have more broad aims than corporations, including promoting open governance and civic engagement and supporting the emergence of innovative businesses and economic development in their respective regions (Bleda and Chicot 2020;Carr and Lassiter 2017;Hartmann, Mainka, and Stock 2016;Johnson and Robinson 2014;Mergel and Desouza 2013;Sotarauta 2009). In making decisions on innovation contest design, various trade-offs need to be considered (Dahlander, Jeppesen, and Piezunka 2019), and, in the public sector, the integration of priorities from various policy areas creates additional trade-offs that need to be balanced, generating a complex managerial challenge between strategic leadership and operational environment (Sotarauta 2005;Sotarauta and Mustikkamäki 2012).…”

Section: Introductionmentioning

confidence: 99%

“…In making decisions on innovation contest design, various trade-offs need to be considered (Dahlander, Jeppesen, and Piezunka 2019), and, in the public sector, the integration of priorities from various policy areas creates additional trade-offs that need to be balanced, generating a complex managerial challenge between strategic leadership and operational environment (Sotarauta 2005;Sotarauta and Mustikkamäki 2012). Procurers often lack skills and experience in procuring for innovations in general (Georghiou et al 2014;Obwegeser and Müller 2018), especially when it comes to innovation contests (Carr and Lassiter 2017). Unfortunately, few studies address their organization, apart from reports of well-known ambitious innovation contests (Adler 2011;Kay 2012;Mergel and Desouza 2013;Stine 2009), such as the Ansari X-prize contest organized by NASA.…”

Section: Introductionmentioning

confidence: 99%

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Organizing innovation contests for public procurement of innovation – a case study of smart city hackathons in Tampere, Finland

Pihlajamaa

Merisalo

2021

European Planning Studies

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Public procurement of innovation is a key policy instrument for improving the quality of public services and achieving wider benefits for society. Recently, innovation contests have reemerged as a means to procure innovative new solutions. There is, however, limited understanding of how innovation contests should be organized in the public sector. In this study, we investigate the organization of two smart city hackathon-style innovation contests in Tampere, Finland. We examine the contests' structure and goals, the definition of a problem statement, the motivation of potential participants, and their outcomes. We find that innovation contests may be used for, not only sourcing novel technologies, but also for engaging in conversations with companies, and developing an understanding of local problems and potential solutions. We further discuss the issues that arise from the integration of multiple goals in a single contest. We provide practical guidance for organizing innovation contests and evaluate their role for public procurement of innovation and local development.

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Big Data, Small Apps: Premises and Products of the Civic Hackathon

Cited by 24 publications

References 2 publications

Understanding an Urban Park through Big Data

Understanding an Urban Park through Big Data

Strategic principles for smart city development: A multiple case study analysis of European best practices

Organizing innovation contests for public procurement of innovation – a case study of smart city hackathons in Tampere, Finland

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