From Community Analysis to Prototype: Creating an Online Matchmaker for Inflammatory Bowel Disease Patients

  • Jermain KaminskiEmail author


Since about five years, the MIT Center for Collective Intelligence, Cambridge, U.S., and the Chronic Collaborative Care Network (C3N) at Cincinnati Children’s Hospital, Cincinnati, U.S., have been working together to improve care for inflammatory bowel disease (IBD) patients by harnessing methods of computational social science. The goal of this contribution is (1) to present an approach in measuring communication patterns and sentiments within online communities of IBD patients, (2) to analyze the enablers for a better connectedness of community members, and (3) to introduce a prototype application of a collective intelligent online network for IBD patients, named “YouMeIBD”. The mobile application, developed within an interdisciplinary student class at MIT and four other universities, aims to improve the connectedness, well-being and diffusion of innovations in a community of IBD patients.


Social network analysis Sentiment analysis Coolhunting Patient community Collaborative innovation network Inflammatory bowel disease (IBD) 



This contribution represents the work of a team consisting of more than 15 students, patients, clinicians, designers, researchers and developers. Prof. Dr. Peter A. Gloor at the MIT Center for Collective Intelligence and the Collaborative Chronic Care Network (C3N) team at Cincinnati Children’s Hospital initiated this research project. Hauke Führes, Linda Bäbler, Jonas Lauener and Leslie Marticke contributed to the first YouMeIBD prototype application described in this article. Since then, five interdisciplinary and international student classes contributed to the project (cf. COINs Class 2010, 2011, 2012, 2013, 2014, 2015). I like to thank the Dr. Werner Jackstädt Foundation for their generous support.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Witten/Herdecke UniversityWittenGermany
  2. 2.MIT Center for Collective IntelligenceMassachusetts Institute of TechnologyCambridgeUSA

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