Skip to main content

Understanding Hackathons for Science: Collaboration, Affordances, and Outcomes

  • Conference paper
  • First Online:
Information in Contemporary Society (iConference 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11420))

Included in the following conference series:

Abstract

Nowadays, hackathons have become a popular way of bringing people together to engage in brief, intensive collaborative work. Despite being a brief activity, being collocated with team members and focused on a task—radical collocation—could improve collaboration of scientific software teams. Using a mixed-methods study of participants who attended two hackathons at Space Telescope Science Institute, we examined how hackathons can facilitate collaboration in scientific software teams which typically involve members from two different disciplines: science and software engineering. We found that hackathons created a focused interruption-free working environment in which team members were able to assess each other’s skills, focus together on a single project and leverage opportunities to exchange knowledge with other collocated participants, thereby allowing technical work to advance more efficiently. This study suggests “hacking” as a new and productive form of collaborative work in scientific software production.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Major League Hacking, MLH. https://mlh.io.

  2. 2.

    Astro Hack Week. http://astrohackweek.org/2018/.

  3. 3.

    The Space Telescope Science Institute (STScI) is operated by the Association of Universities for Research in Astronomy. http://www.stsci.edu/institute/.

References

  1. Bos, N., et al.: From shared databases to communities of practice: a taxonomy of collaboratories. J. Comput.-Mediat. Commun. 12, 652–672 (2007)

    Article  Google Scholar 

  2. Corbin, J., Strauss, A.: Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory, 4th edn. SAGE Publications Inc., Thousand Oaks (2014)

    Google Scholar 

  3. Crowston, K., Howison, J., Masango, C., Eseryel, Y.: Face-to-face interactions in self-organizing distributed teams. In: Presentation at the OCIS Division, Academy of Management Conference (2005). http://floss.syr.edu/StudyP/ftf2005.pdf

  4. Greeno, J.G.: Gibson’s affordances. Psychol. Rev. 101(2), 336–342 (1994)

    Article  Google Scholar 

  5. Hatton, L., Roberts, A.: How accurate is scientific software? IEEE Trans. Software Eng. 20, 785–797 (1994)

    Article  Google Scholar 

  6. Heaton, D., Carver, J.C.: Claims about the use of software engineering practices in science: a systematic literature review. Inf. Softw. Technol. 67, 207–219 (2015). Carver

    Article  Google Scholar 

  7. Henderson, S.: Getting the most out of hackathons for social good. In: Rosenthal, R.J. (ed.) Volunteer Engagement 2.0: Ideas and Insights Changing the World, pp. 182–194 (2015)

    Google Scholar 

  8. Hinds, P.J., Cramton, C.D.: Situated coworker familiarity: how site visits transform relationships among distributed workers. Organ. Sci. 25, 794–814 (2013)

    Article  Google Scholar 

  9. Howison, J., Herbsleb, J.D.: Scientific software production: incentives and collaboration. In: The ACM 2011 Conference on Computer Supported Cooperative Work, pp. 513–522. ACM, New York (2011)

    Google Scholar 

  10. Kelly, D.: Scientific software development viewed as knowledge acquisition: towards understanding the development of risk-averse scientific software. J. Syst. Softw. 109, 50–61 (2015)

    Article  Google Scholar 

  11. Komssi, M., Pichlis, D., Raatikainen, M., Kindström, K., Järvinen, J.: What are hackathons for? IEEE Softw. 32, 60–67 (2015)

    Article  Google Scholar 

  12. Kraut, R.E., Streeter, L.A.: Coordination in large scale software development. Commun. ACM 38, 69–81 (1995)

    Article  Google Scholar 

  13. Möller, S., et al.: Community-driven development for computational biology at sprints, hackathons and codefests. BMC Bioinf. 15, S7 (2014)

    Article  Google Scholar 

  14. Olson, G.M., Olson, J.S.: Distance matters. Hum.-Comput. Interact. 15, 139–178 (2000)

    Article  Google Scholar 

  15. Paine, D., Lee, C.P.: Who has plots? Contextualizing scientific software, practice, and visualizations. ACM Hum. Comput. Interact. 1, 21 (2017). Article 85

    Google Scholar 

  16. Segal, J.: Scientists and software engineers: a tale of two cultures. In: The 20th Annual Meeting of the Psychology of Programming Interest Group, PPIG 2008, University of Lancaster, UK (2008)

    Google Scholar 

  17. Stoltzfus, A., et al.: Community and code: nine lessons from nine NESCent Hackathons. F1000Research 6 (2017)

    Google Scholar 

  18. Teasley, S., Covi, L., Krishnan, M.S., Olson, J.S.: How does radical collocation help a team succeed? In: The 2000 ACM Conference on Computer Supported Cooperative Work, pp. 339–346, ACM, New York (2000)

    Google Scholar 

  19. Trainer, E.H., Kalyanasundaram, A., Chaihirunkarn, C., Herbsleb, J.D.: How to hackathon: socio-technical tradeoffs in brief, intensive collocation. In: The 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, pp. 1118–1130. ACM, New York (2016)

    Google Scholar 

  20. Wyngaard, J., Lynch, H., Nabrzyski, J., Pope, A., Jha, S.: Hacking at the divide between polar science and HPC: using hackathons as training tools. In: 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 352–359. IEEE (2017)

    Google Scholar 

  21. Zhang, Z.-X., Hempel, P.S., Han, Y.-L., Tjosvold, D.: Transactive memory system links work team characteristics and performance. J. Appl. Psychol. 92, 1722 (2017)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ei Pa Pa Pe-Than .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Pe-Than, E.P.P., Herbsleb, J.D. (2019). Understanding Hackathons for Science: Collaboration, Affordances, and Outcomes. In: Taylor, N., Christian-Lamb, C., Martin, M., Nardi, B. (eds) Information in Contemporary Society. iConference 2019. Lecture Notes in Computer Science(), vol 11420. Springer, Cham. https://doi.org/10.1007/978-3-030-15742-5_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-15742-5_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-15741-8

  • Online ISBN: 978-3-030-15742-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics