The innovation-driven hackathon

Frey, Frank J.; Luks, Michael

doi:10.1145/3011784.3011794

Cited by 35 publications

(9 citation statements)

References 1 publication

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“…Those originally from software development coming short-term events have been named by several experts (A, B, D, and H) when they have been asked if they have hosted a machine learning competition so far. The association between a machine learning competition on Kaggle and a hackathon can be seen as reasonable, as hackathons usually do not create fully-fledged solutions but rather partially usable prototypes and furthermore are intended to increase the brand awareness among possible employees or customers [16]. This coincides with what the experts think about the results of Kaggle competitions, as mentioned above, and also with the aim to engage in brand building.…”

Section: Organization-related Factorsmentioning

confidence: 65%

Crowdsourcing Data Science: A Qualitative Analysis of Organizations’ Usage of Kaggle Competitions

Tauchert¹,

Buxmann²,

Lambinus³

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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In light of the ongoing digitization, companies accumulate data, which they want to transform into value. However, data scientists are rare and organizations are struggling to acquire talents. At the same time, individuals who are interested in machine learning are participating in competitions on data science internet platforms. To investigate if companies can tackle their data science challenges by hosting data science competitions on internet platforms, we conducted ten interviews with data scientists. While there are various perceived benefits, such as discussing with participants and learning new, state of the art approaches, these competitions can only cover a fraction of tasks that typically occur during data science projects. We identified 12 factors within three categories that influence an organization's perceived success when hosting a data science competition.

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Section: Organization-related Factorsmentioning

confidence: 65%

Crowdsourcing Data Science: A Qualitative Analysis of Organizations’ Usage of Kaggle Competitions

Tauchert¹,

Buxmann²,

Lambinus³

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…The highest degree of industry involvement is a company-internal hackathon, which is a hackathon exclusive to the organisation's employees that aims to solve a shared problem. For example, at a hackathon hosted by a large IT provider in Germany, 24 employees from various departments split up into 5 teams that competed to develop an app that supported the sharing of a 'thing', such as a car or book (Frey & Luks 2016). In this case, the goal of the hackathon was predetermined, requiring less discovery for the participants.…”

Section: Participants' Design Processmentioning

confidence: 99%

“…First, by design, hackathons typically enable collaboration between different topic experts (Frey & Luks 2016); thus, different team members may have different subject matter knowledge. Research on the impact of the diversity of expertise on hackathon performance is limited and inconclusive (Legardeur et al 2020).…”

Section: The Role Of Expertisementioning

confidence: 99%

“…These hackathon-like events aim to engage students in a heightened design activity, either in-class or as an out-of-class activity, where the specific topic is related to the students' field of study, with the prompts ranging from addressing natural disasters to solving mechanical engineering problems. (Frey & Luks 2016). Also included in the third section is if design was facilitated during the event, if the event was competitive, and the targeted participant profile.…”

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confidence: 99%

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Design at hackathons: new opportunities for design research

Flus

Hurst

2021

Des. Sci.

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Hackathons are short-term events at which participants work in small groups to ideate, develop and present a solution to a problem. Despite their popularity, and significant relevance to design research, they have only recently come into research focus. This study presents a review of the existing literature on the characteristics of designing at hackathons. Hackathon participants are found to follow typical divergence–convergence patterns in their design process throughout the hackathon. Unique features include the initial effort to form teams and the significant emphasis on preparing and delivering a solution demo at the final pitch. Therefore, hackathons present themselves as a unique setting in which design is conducted and learned, and by extension, can be studied. Overall, the review provides a foundation to inform future research on design at hackathons. Methodological limitations of current studies on hackathons are discussed and the feasibility of more systematic studies of design in these types of settings is assessed. Further, we explore how the unique nature of the hackathon format and the diverse profiles of hackathon participants with regards to subject matter knowledge, design expertise and prior hackathon experience may affect design cognition and behaviour at each stage of the design process in distinctive ways.

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“…Frey and Luks [15] presented innovation-driven hackathons as a mean for overcoming organizational obstacles and challenges which hinder and slow down innovation within medium and large sized companies. They suggested to invite best people with different skills and backgrounds from both within and outside the organization to participate in compact 1-3 days events.…”

Section: Hackathon Related Workmentioning

confidence: 99%

On the Use of Hackathons to Enhance Collaboration in Large Collaborative Projects : - A Preliminary Case Study of the MegaM@Rt2 EU Project -

Sadovykh

Truşcan

Pierini

et al. 2019

2019 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE)

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In this paper, we present the MegaM@Rt2 ECSEL project and discuss in details our approach for fostering collaboration in this project. We choose to use an internal hackathon approach that focuses on technical collaboration between case study owners and tool/method providers. The novelty of the approach is that we organize the technical workshop at our regular project progress meetings as a challenge-based contest involving all partners in the project. Case study partners submit their challenges related to the project goals and their use cases in advance. These challenges are concise enough to be experimented within approximately 4 hours. Teams are then formed to address those challenges. The teams include tool/method providers, case study owners and researchers/developers from other consortium members. On the hackathon day, partners work together to come with results addressing the challenges that are both interesting to encourage collaboration and convincing to continue further deeper investigations. Obtained results demonstrate that the hackathon approach stimulated knowledge exchanges among project partners and triggered new collaborations, notably between tool providers and use case owners.

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The innovation-driven hackathon

Cited by 35 publications

References 1 publication

Crowdsourcing Data Science: A Qualitative Analysis of Organizations’ Usage of Kaggle Competitions

Crowdsourcing Data Science: A Qualitative Analysis of Organizations’ Usage of Kaggle Competitions

Design at hackathons: new opportunities for design research

On the Use of Hackathons to Enhance Collaboration in Large Collaborative Projects : - A Preliminary Case Study of the MegaM@Rt2 EU Project -

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