Brown Bag Lunch Schedule: Difference between revisions
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| '''Adil Yalcin''' <br> PhD Student in Computer Science at UMD ([http://adilyalcin.me/ link]) | | '''Adil Yalcin''' <br> PhD Student in Computer Science at UMD ([http://adilyalcin.me/ link]) | ||
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Keshif: Data Exploration using Aggregate Summaries and Multi-Mode Linked Selections | |||
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'''Abstract:''' We present a new aggregation and multi-mode linked selection framework for data exploration. To enable scalable data overviews, aggregates group records by their attribute values and measure group characteristics within data summaries. To reveal details, linked selections visualize data distributions on aggregations upon interaction with three complementary modes: highlighting, filtering, comparison. This model is domain independent, expressive, minimal, and scalable, and constructs an exploration space without the complexity of manual visualizations and interaction specification tasks. We implemented this framework for tabular data as a web-based tool, Keshif. A Keshif data browser combines summarized aggregations on existing or calculated attributes, and individual records. Data exploration is supported from importing raw data, to authoring, sharing, and forking data browsers, through a fluid, consistent, rapid, and animated interaction design. We demonstrate aggregation designs for multiple data types (categorical, set-typed, numeric, timestamp, spatial) using various glyphs and non-overlapping visualizations (bar, line, icon, disc, geo-area). We illustrate examples from 130+ publicly published Keshif data browsers from diverse domains. | |||
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'''Bio:''' M. Adil Yalcin, is a Ph.D. candidate at the Department of Computer Science at University of Maryland, College Park, and a member of Human Computer Interaction Laboratory (HCIL). His goal is to lower human-centered barriers to data exploration and presentation. His research focuses on information visualization and interaction design, implementation, and evaluation. He is the developer of keshif, a web-based tool for rapid exploration of structured datasets. In his previous work, he developed computer graphics techniques and applications. | |||
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Revision as of 19:41, 11 February 2016
The HCIL has an open, semi-organized weekly "brown bag lunch (BBL)" every Thursdays from 12:30-1:30pm in HCIL (2105 Hornbake, South Wing). The topics range from someone's work, current interests in the HCIL, software demos/reviews, study design, proposed research topics, introductions to new people, 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. There is no RSVP; simply show up!
If you would like to give or suggest a talk, presentation, workshop, etc., send an email to BBL student co-coordinators Austin Beck (austinbb@umd.edu) or Leyla Norooz (leylan@umd.edu). In the email, briefly describe the topic and preferred dates.
To be notified about upcoming events, please subscribe one of these mailing lists.
We thank YAHOO for its sponsorship of the HCIL Brown Bag Lunches .
Spring 2016 Schedule
Date | Leader | Topic |
---|---|---|
01/28/2016 | Kickoff to a new Semester! |
Come network, make introductions, share what each of us is working on, and learn about the new HCIL website Please come to our first BBL of the spring and introduce yourself, and share what you're working on in the coming semester. We'll also cover our new HCIL website and ask our community to help us tweak and improve it (so bring your laptops if you can). The first BBL will be for us to network with each other and kickoff a great new semester.
|
02/04/2016 |
Tom Yeh Assistant Professor, University of Colorado CS (link). Host: Jon Froehlich |
Printing Pictures in 3D
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02/11/2016 | Cliff Lampe Associate Professor, University of Michigan iSchool (link) Host: Jessica Vitak |
Citizen Interaction Design and its Implications for HCI
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02/18/2016 | Thomas Haigh Associate Professor of Information Studies, University of Wisconsin-Milwaukee (link) Host: ??? |
Working on ENIAC: The Lost Labors of the Information Age
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02/25/2016 | Adil Yalcin PhD Student in Computer Science at UMD (link) |
Keshif: Data Exploration using Aggregate Summaries and Multi-Mode Linked Selections
|
03/03/2016 | Eytan Adar. Assoc Prof, School of Information, Univ. of Michigan (link). Host: Ben Shneiderman |
All the Data Fit to Print: Newsroom Tools for Generating Personalized, Contextually-Relevant Visualizations (Campus Visualizations Partnership lecture) Host: Ben Shneiderman Abstract Visualizations can enhance news article content by presenting complex facts clearly and providing contextually-relevant visualizations. By using novel natural language and text mining approaches, our systems define "queries" that encode the article's topic (e.g., "unemployment in CA in March," "global average temperatures in 2012") and the comparisons that are made in the article's text (e.g., differences between states or over time) to guide the visualization generation. Compelling visualizations are relevant and 'interesting'-concepts that are very hard measure, but we address these challenges in the Contextifier, NewsViews, and PersaLog systems, which are meant to help journalists tell their stories more effectively (joint work with Brent Hecht, Jessica Hullman, Tong Gao, Carolyn Gearig, Josh Ford, and Nick Diakopoulos).
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03/10/2016 | Tim Summers Director of Innovation, Entrepreneurship, and Engagement at UMD iScool (link) |
How Hackers Think
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03/17/2016 | No Brown Bag for Spring Break. | |
03/24/2016 | Daniel Robbins (link) |
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03/31/2016 |
| |
04/07/2016 | Andrea Wiggins Assistant Professor, University of Maryland iSchool (link) |
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04/14/2016 | CHI Practice Talks TBD & TBD |
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04/21/2016 | CHI Practice Talks Brenna McNally & TBD |
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04/28/2016 | Tamara Clegg Assistant Professor, University of Maryland iSchool & Education (link) |
ScienceEverywhere
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05/05/2016 |
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Past Brown Bags
View the Past Brown Bag Lunch Schedules to learn more about prior talks.