On Friday September 30th, the University of Chicago will host an NSF Midwest Big Data Hub sponsored workshop: Midwest Big Data Opportunities and Challenges (MBDOC). This workshop is designed to bring together junior researchers from top universities and industry leaders to discuss active areas of research and development in Big Data. The primary goals will be to (i) allow local industry leaders to discuss current big data infrastructures, open challenges encountered, and what they believe to be the next important problems, (ii) give junior researchers the ability to discuss active and future research areas, and (iii) allow regional practitioners and researchers to connect and identify areas of potential collaboration. In addition to presentations from junior faculty, senior faculty, postdocs, and graduate students will be invited to participate. While any area related to Big Data is open for discussion, there will be a particular focus on systems, visualizations, databases, and analytics. We hope to get an engaging set of participants to ensure an informative workshop and hopefully lay the foundation for an annual midwest data retreat!

The workshop will be held at the scenic University of Chicago, located about 20 minutes south of downtown Chicago.

Limited travel support is available and there is no cost to attend. Please contact us if you would like to apply for travel support.

Click here to register for the event's waitlist (you must have a ticket to attend)


Speaker Talk Title
Mike Franklin (UChicago) Welcome
Boris Glavic (IIT) HRDBMS: How to scale like an elephant and perform like a fruit
Spyros Blanas (OSU) Data management for datacenter-scale computers
Prasanna Balaprakash (Argonne) Machine learning for high performance computing
Dmitry Karpeyev (KCG) Large-scale distributed market data capture and analytics
Yongjoo Park (UMich) Building databases that become smarter over time
Alex Rasin (DePaul) Monitoring Database Query Access through Forensic Analysis
Eli Brown (DePaul) The Best of Both Worlds: Machine Learning with a Human in the Loop
Ceren Budak (UMich) Constructing Ex Post Panels to Study Behavior Change in a Social Movement
Michael Horrell (Uptake) Big data and Analytics applications in Heavy Industry
Linda Yao (Boeing) Connect & Protect with Boeing Analytics
Arnab Nandi (OSU) Chasing Interactivity: Query, Feedback, and Result
Michael Gleicher (Wisconsin) Towards Comprehensibility in Modeling: Human Centric Issues in Data Analysis
Kris Hammond (NU / Narrative Science) TBD
Willis Lang (Microsoft Gray Systems Lab) Harnessing cloud telemetry to optimize over-booking.
Mike Burton (Nationwide) A Survey of Data Management and Modernization Challenges at Nationwide
Andrew Baptist (Cleversafe) Building a private storage cloud
Paris Koutris (Wisconsin) Pricing Relational Data with Guarantees
Dan Collins (Morningstar) Solving for Versatility: Big Data at Morningstar
Tim Weninger (Notre Dame) Learning Hyperedge Replacement Graph Grammars
Mike Spertus (Symantec/UChicago) Designing and Implementing a Big Data Store and Analytics Platform for Cybersecurity
Michelangelo D'Agostino (Civis) Flash Talk on Civis
Tanu Malik (DePaul) Reproducibility in the Era of Big Data
Aditya Parameswaran (UIUC) Three Tools for 'Human-in-the-Loop' Data Analytics

The event is sold out. Please click here to register for the waitlist.

Directions and Accomodations

Detailed directions to the University can be found on the university's website. The workshop will be held in The Polsky Center for Entrepreneurship and Innovation.