Big Data and Predictive Analytics

Welcome to the MIT/SCAD/Aalto University/University of Cologne/University of Bamberg 2012 Collaborative Innovation Networks (COINs2012) seminar. The theme of this year is "Big Data and Predictive Analytics"

The emergence of online social networks opens up unprecedented opportunities to read the collective mind, discovering emergent trends while they are still being hatched by small groups of creative individuals. The Web has become a mirror of the real world, allowing researchers in predictive analytics to study and better understand why some new ideas change our lives, while others never make it from the drawing board of the innovator. 
In this seminar you will get the opportunity to lead and work in a wide range of projects doing analysis of large corpora of digital traces of human activity, in particular the Web, Blogs, online forums, social networking sites, e-mail archives, phone logs, and face-to-face interaction through sociometric badges. In our research we have identified interaction patterns of successful teams and organizations through dynamic social network analysis. On the global level, you will learn to correlate Web sentiment with macroeconomic indicators, and Blog buzz with the outcome of political elections. On the organizational level you will compare performance metrics such as revenue, productivity, peer ratings, and customer satisfaction with e-mail network metrics in a variety of settings. On the individual level you have the opportunity to employ sociometric badges as a powerful tool that can connect the impact of behaviors such as speech patterns with business outcomes.

Diversity begets creativity – in this seminar we tap the amazing power of swarm creativity on the Web by studying and working together as Collaborative Innovation Networks (COINs). As interdisciplinary teams of MIT management, SCAD design, University of Cologne informatics, and Aalto University software engineering students we will explore how to discover latest trends on the Web, and how to make them succeed in online social networks.

Students will be asked to do preparatory readings. During class, small teams will be asked to present an overview of research topics based on the papers listed on the Papers & Resources page. In the second half of the seminar (after Oct 23), small student teams with participants from MIT, Savannah College of Art and Design (SCAD), Aalto University Helsinki, University of Cologne, and University of Bamberg, Germany will work on their own trend analysis, prediction, and viral marketing projects using Web mining and dynamic SNA tools and methods, gaining invaluable insights about global virtual collaboration and about themselves as members of cross-disciplinary global virtual teams.

This is a demanding course, as it combines skills from many interdisciplinary fields:

Social network analysis

Using our own tool Condor for analyzing online social networks

Statistical methods, Data Mining and Filtering

Software development

Concept visualization and information modeling

OpenCourseWare (OCW) version of the course is here

The draft syllabus for MIT students is here.

The 2011 course home page is here
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Peter Gloor,
Sep 23, 2012, 12:40 PM