Brown Bag Lunch Schedule

The HCIL has an open semi-organized weekly "brown bag lunch (BBL)" on every Thursdays from 12:30-1:30pm in HCIL (2105 Hornbake, South Wing). The topics range from someone's work, current interest to the HCIL, a software demo/review, a study design, a proposed research topic, an introduction to a new person, etc. The BBL is the one hour a week where we all come together--thus, it’s a unique time for HCIL members with unique opportunities to help build collaborations, increase awareness of each other’s activities, and generally just have a bit of fun together with free food every week.

To sign up for a session, send an email to BBL student co-coordinator Austin Beck (austinbb@umd.edu) or Lelya Norooz (leylan@umd.edu). In the email, briefly describe the topic and preferred dates.

To get notified about upcoming events, please subscribe one of these mailing lists.

We thank YAHOO for its sponsorship of the HCIL Brown Bag Lunches .

Fall 2015 Schedule

Date	Leader	Topic
09/03/2015	All new students!	Expand New student introductions! Much like last year, this BBL is for new students to introduce themselves, talk briefly about their projects and interests and bounce their ideas off the HCIL members. The purpose of these informal and participatory talks is to help connect new students with professors and other students sharing the same interests. We'll also cover useful resources for students (e.g., this very wiki!)
09/10/2015 STARTING AT NOON exceptionally	Jean-Daniel Fekete Senior Research Scientist at INRIA (link)	Expand ProgressiVis: a New Workflow Model for Scalability in Information Visualization Information Visualization (infovis) has, for years, been limited to small data: a typical infovis application will work well with up-to 1000 items/records, a few can scale to 100,000 items, and very few, including the leading commercial products such as Tableau and Spotfire, have been able to deal with millions of items. Billions are seldom mentioned in the infovis literature. In contrast, the research fields of machine learning and databases are routinely dealing with datasets of several billions of items, and the numbers are growing. There are legitimate reasons why it takes time for infovis to start catching-up with these large numbers, and some work such as Lins et al. Nanocubes (http://www.nanocubes.net/) and Liu et al. imMens (http://idl.cs.washington.edu/papers/immens), have started to show possible routes to scalability. However, they both rely on either pre-computed aggregations that need hours to compute for large datasets, or on a highly parallel infrastructure performing aggregations on the fly. In my talk, I will explain why we need more flexible solutions and present a new workflow architecture called ProgressiVis, to achieve progressive computations and visualization over massive datasets.
09/17/2015	Liese Zahabi Assistant Professor of Graphic Design at the University of Maryland, College Park (link)	Expand
09/24/2015	HCIL Student Presentations	Expand
10/01/2015	Celine Latulipe Associate Professor at The University of North Carolina at Charlotte (link)	Expand
10/08/2015		Expand
10/15/2015		Expand
10/22/2015	Heather Bradbury Director, Masters of Professional Studies Programs at Maryland Institute College of Art (link)	Expand
10/29/2015		Expand
11/05/2015	C. Scott Dempwolf Research Assistant Professor and Director, UMD - Morgan State Joint Center for Economic Development (link)	Expand
11/12/2015		Expand
11/19/2015		Expand
11/26/2014	No Brown Bag for Thanksgiving break.
12/03/2015		Expand
12/10/2015		Expand
12/17/2015		Expand

Past Brown Bags

View the Past Brown Bag Lunch Schedules to learn more about prior talks.