Understanding team collaboration processes is key for the development of new technologies towards increasing groups effectiveness. In particular, the need and challenges of coordinating potentially large-scale, self-organized, collaborative initiatives have been made even more salient by the COVID-19 pandemic. Key to this challenge is the difficulty for participants to situate themselves within the larger social context. At the individual level, the Quantified-Self movement has showcased how insights from one’s own data can trigger changes in behavior, sometimes leading to fundamental insights through self-research. Building on these premises, here we present CoSo (Collaborative Sonar), a digital platform for participatory collective sensing and social research. CoSo is a web and mobile data collection platform for team network reconstruction and visualization. It leverages a “group-in-the-loop” intrinsic motivator to collect data on collaborative activities performed by a team through a mobile app, with summary statistics and visualizations of the collected data made available on a web dashboard. We showcase its use and discuss the perspectives offered by promoting group-level metacognition and collective introspection. By highlighting the invisible relationships in a group, CoSo facilitates in-the-wild studies, remote/hybrid data collection, and multi-modal sensing approaches of group interactions within professional and other social contexts.
- Daniel Barkoczi and Mirta Galesic. 2016. Social learning strategies modify the effect of network structure on group performance. Nat. Commun. 7 (Oct. 2016), 13109.
- Alain Barrat, Ciro Cattuto, Vittoria Colizza, Jean-Francois Pinton, Wouter Van den Broeck, and Alessandro Vespignani. 2008. High resolution dynamical mapping of social interactions with active RFID. (Nov. 2008). arxiv:0811.4170 [cs.CY]
- Vincent D Blondel, Adeline Decuyper, and Gautier Krings. 2015. A survey of results on mobile phone datasets analysis. EPJ Data Science 4, 1 (Aug. 2015), 10.
- Vincent D Blondel, Jean-Loup Guillaume, Renaud Lambiotte, and Etienne Lefebvre. 2008. Fast unfolding of communities in large networks. J. Stat. Mech. 2008, 10 (Oct. 2008), P10008.
- Tjeerd W Boonstra, Mark E Larsen, and Helen Christensen. 2015. Mapping dynamic social networks in real life using participants’ own smartphones. Heliyon 1, 3 (Nov. 2015), e00037.
- J Brown. 2007. The iGEM competition: building with biology. IET Synth. Biol. 1, 1 (June 2007), 3–6.
- Mathieu Cunche, Antoine Boutet, Claude Castelluccia, Cédric Lauradoux, and Vincent Roca. 2020. On using Bluetooth-Low-Energy for contact tracing. Research Report. Inria Grenoble Rhône-Alpes ; INSA de Lyon. https://hal.inria.fr/hal-02878346
- Pierre Deville, Dashun Wang, Roberta Sinatra, Chaoming Song, Vincent D Blondel, and Albert-László Barabási. 2014. Career on the move: geography, stratification, and scientific impact. Sci. Rep. 4 (April 2014), 4770.
- Chiara Franzoni and Henry Sauermann. 2014. Crowd science: The organization of scientific research in open collaborative projects. Res. Policy 43, 1 (Feb. 2014), 1–20.
- Fosca Giannotti, Luca Pappalardo, Dino Pedreschi, and Dashun Wang. 2013. A Complexity Science Perspective on Human Mobility.
- Bastian Greshake Tzovaras, Misha Angrist, Kevin Arvai, Mairi Dulaney, Vero Estrada-Galiñanes, Beau Gunderson, Tim Head, Dana Lewis, Oded Nov, Orit Shaer, Athina Tzovara, Jason Bobe, and Mad Price Ball. 2019. Open Humans: A platform for participant-centered research and personal data exploration. Gigascience 8, 6 (June 2019).
- R Guimera. 2005. Team Assembly Mechanisms Determine Collaboration Network Structure and Team Performance., 697–702 pages.
- Saurabh Gupta, Mandeep S Dhillon, Siddhartha Sharma, Riddhi Gohil, and Sunny Sachdeva. 2021. Epicollect5: A Free, Fully Customizable Mobile-based Application for Data Collection in Clinical Research., 248–251 pages.
- Arno Klein, Jon Clucas, Anirudh Krishnakumar, Satrajit S Ghosh, Wil Van Auken, Benjamin Thonet, Ihor Sabram, Nino Acuna, Anisha Keshavan, Henry Rossiter, Yao Xiao, Sergey Semenuta, Alessandra Badioli, Kseniia Konishcheva, Sanu Ann Abraham, Lindsay M Alexander, Kathleen R Merikangas, Joel Swendsen, Ariel B Lindner, and Michael P Milham. 2020. Remote Digital Psychiatry: MindLogger for Mobile Mental Health Assessment and Therapy. (Nov. 2020), 2020.11.16.385880 pages.
- Michael Klug and James P Bagrow. 2016. Understanding the group dynamics and success of teams. R Soc Open Sci 3, 4 (April 2016), 160007.
- Camille M Masselot, Bastian Greshake Tzovaras, Chris L B Graham, Gary Finnegan, Rathin Jeyaram, Isabelle Vitali, Thomas E Landrain, and Marc Santolini. 2021. Co-Immune: a case study on open innovation for vaccination hesitancy and access. medRxiv (2021).
- Staša Milojević. 2014. Principles of scientific research team formation and evolution. Proc. Natl. Acad. Sci. U. S. A. 111, 11 (March 2014), 3984–3989.
- Michael Nielsen. 2011. Reinventing Discovery.
- J G Oliveira and A-L Barabási. 2005. Human Dynamics: The Correspondence Patterns of Darwin and Einstein. (Nov. 2005). arxiv:physics/0511006 [physics.soc-ph]
- Pentland, A. 2012. The new science of building great teams. Harv. Bus. Rev. 90, 4 (2012), 60–69.
- Barbara Pernici. 2020. CROWD4SDG: Crowdsourcing for sustainable developments goals. Pearson, Upper Saddle River, NJ. 248–252 pages.
- Christoph Riedl and Anita Williams Woolley. 2017. Teams vs. Crowds: A Field Test of the Relative Contribution of Incentives, Member Ability, and Emergent Collaboration to Crowd-Based Problem Solving Performance. AMD 3, 4 (Dec. 2017), 382–403.
- Shuyun Shi, Debiao He, Li Li, Neeraj Kumar, Muhammad Khurram Khan, and Kim-Kwang Raymond Choo. 2020. Applications of blockchain in ensuring the security and privacy of electronic health record systems: A survey. Computers & Security 97 (Oct. 2020), 101966. https://doi.org/10.1016/j.cose.2020.101966
- John Torous, Mathew V Kiang, Jeanette Lorme, and Jukka-Pekka Onnela. 2016. New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research. JMIR Ment Health 3, 2 (May 2016), e16.
- Timothy J Trull and Ulrich W Ebner-Priemer. 2020. Ambulatory assessment in psychopathology research: A review of recommended reporting guidelines and current practices., 56–63 pages.
- Bastian Greshake Tzovaras, Enric Senabre Hidalgo, Karolina Alexiou, Lukasz Baldy, Basile Morane, Ilona Bussod, Melvin Fribourg, Katarzyna Wac, Gary Wolf, and Mad Ball. 2021. Quantified Flu: an individual-centered approach to gaining sickness-related insights from wearable data. medRxiv (2021).
- Brian Uzzi, Stefan Wuchty, Jarrett Spiro, and Benjamin F Jones. 2012. Scientific teams and networks change the face of knowledge creation. In Networks in Social Policy Problems. Cambridge University Press, 47–59.
- Duncan Watts. 2016. The organizational spectroscope. Medium, April 1(2016).
- Steve Woolgar and Bruno Latour. 1986. Laboratory life: the construction of scientific facts. Princeton University Press.
- Anita Williams Woolley, Christopher F Chabris, Alex Pentland, Nada Hashmi, and Thomas W Malone. 2010. Evidence for a collective intelligence factor in the performance of human groups. Science 330, 6004 (Oct. 2010), 686–688.
- Stefan Wuchty, Benjamin F Jones, and Brian Uzzi. 2007. The increasing dominance of teams in production of knowledge. Science 316, 5827 (May 2007), 1036–1039.