Description: This talk series is open to all Indiana
University faculty and students interested in network analysis,
modeling, visualization, and complex systems research. A major intent
is to cross-fertilize between research done in the social and
behavioral sciences, research in natural sciences such as biology or
physics, but also research on Internet technologies.
Please join us for live streaming if you cannot attend in person! This link is good for all the talks at the listed time. Please note all these times are in Eastern Standard Time Zone.
Analyzing the Language of Food on Social Media
Abstract: In this lecture we investigate the predictive power behind the language of food on social media from a collected corpus of over three million food-related posts from Twitter. Using this, we will demonstrate that many latent
population characteristics can be directly predicted from this data: overweight rate, diabetes rate, and political leaning. We analyze which textual features have most predictive power for these datasets, providing insight into the connections between the language of food, geographic locale, and community characteristics. Lastly, we describe and demonstrate an online system for real-time query and visualization of the dataset. Visualization tools, such as geo-referenced heatmaps, semantics-preserving wordclouds, and temporal histograms allow us to discover more complex, global patterns mirrored in the language of food.
For more information visit the Data Science Invited Talk Series.
Bio: Stephen Kobourov is a Professor of Computer Science at the University of Arizona. He completed BS degrees in Mathematics and Computer Science at Dartmouth College in 1995, and a PhD in Computer Science at Johns Hopkins University in 2000. He has worked as a Research Scientist at AT&T Research Labs, and is a Humboldt Fellow at the University of Tübingen in Germany as well as a Distinguished Fulbright Chair at Charles University in Prague.
Open Science Forum
Abstract: Despite a lack of widespread training and complaints of “hairball” layouts, network visualizations enjoy growing popularity both inside and outside academic circles. As yet, no systematic study has been done to gather baseline literacy values for network visualizations across diverse populations and diverse visualization comprehension tasks. In this Open Science Forum, I will describe my efforts to study and describe network visualization literacy, and I will invite the audience to participate in the research and contribute to our growing body of knowledge about these visualizations.
Phillip Beesley: Digital Arts
Abstract: Philip Beesley’s (FRAIC OAA RCA, visual artist, architect) research focuses on next-generation architecture that asks fundamental questions: can architecture feel, and care? Can new digital fabrication, artificial intelligence, and synthetic biology combine in architecture that comes close to life itself? Beesley’s practice includes multiple crafts of architecture, sculpture, industrial design, instrument making, and mechatronics. He often collaborates with artists, including couture designer Iris van Herpen and futurist Rachel Armstrong. He is a Professor at the University of Waterloo and European Graduate School, and serves as the Director for the 40-partner Living Architecture Systems Group and Riverside Architectural Press. He has authored and edited sixteen books and proceedings, and has appeared on the cover of Artificial Life (MIT), LEONARDO and AD journals. Features include Vogue, WIRED, and a series of TED talks. His work has received multiple distinctions, and was selected to represent Canada at the 2010 Venice Biennale for Architecture.
Bio: Philip Beesley, MRAIC OAA RCA, is a practicing visual artist, architect, and Professor in Architecture at the University of Waterloo and Professor of Digital Design and Architecture & Urbanism at the European Graduate School.
He serves as the Director for the Living Architecture Systems Group, and as Director for Riverside Architectural Press. His Toronto-based practice Philip Beesley Architect Inc. operates in partnership with the Europe-based practice Pucher Seifert and the Waterloo-based Adaptive Systems Group, and in numerous other collaborations. The studio’s methods incorporate industrial design, digital prototyping, and mechatronics engineering. Beesley frequently collaborates with artists, scientists and engineers. Recent projects include a series of hybrid fabrics developed with Atelier Iris van Herpen, curiosity-based machine learning environments developed with Rob Gorbet and Dana Kulic of the Adaptive Systems Group, and synthetic metabolisms developed with Rachel Armstrong of the University of Newcastle. His most recent collaboration with Iris Van Herpen has translated a shared sensibility for subtle materials, electricity, and chemistry into a collection of highly complex and diverse textile and haute couture collections.
His research focuses on responsive and distributed architectural environments and interactive systems, flexible lightweight structures integrating kinetic functions, microprocessing, sensor and actuator systems, with particular focus on digital fabrication methods and sheet-material derivations. Beesley has authored and edited sixteen books and proceedings, and has appeared on the cover of Artificial Life (MIT), LEONARDO and AD journals. Features include national CBC news, Vogue, WIRED, and a series of TED talks. His work was selected to represent Canada at the 2010 Venice Biennale for Architecture, and has received distinctions including the Prix de Rome, VIDA 11.0, FEIDAD, Azure AZ, and Architizer A+.
- Chintan Tank | General Sentiment, New York, NY
- David Coe | Walker Information, Indianapolis, IN
- Marshall Scott Poole | University of Illinois
- Constantine Dovrolis | Georgia Tech
- Paulette Lloyd | Indiana University, Bloomington
- Thom Hickey | OCLC Research
- Merih Sevilit, Noah Stiffman, and Scott Yonker | Indiana University, Bloomington
- Alan Murray | Pew Research Center
- Woody Powell | Stanford University