Speaker: Alberto Pepe, Authorea
Title: Data-driven, Interactive Scientific Articles in a Collaborative Environment with Authorea
Room: Informatics East 130
Abstract: Most tools that scientists use for the preparation of scholarly manuscripts, such as Microsoft Word and LaTeX, function offline and do not account for the born-digital nature of research objects. Also, most authoring tools in use today are not designed for collaboration, and, as scientific collaborations grow in size, research transparency and the attribution of scholarly credit are at stake. In this talk, I will show how the Authorea platform allows scientists to collaboratively write rich data-driven manuscripts on the web — articles that would natively offer readers a dynamic, interactive experience with an article’s fulltext, images, data, and code — paving the road to increased data sharing, data reuse, research reproducibility, and Open Science.
Biography: Alberto Pepe is the co-founder of Authorea. He recently finished a Postdoctorate in Astrophysics at Harvard University. During his postdoctorate, Alberto was also a fellow of the Berkman Center for Internet and Society and the Institute for Quantitative Social Science. Alberto is the author of 30 publications in the fields of Information Science, Data Science, Computational Social Science, and Astrophysics. He obtained his Ph.D. in Information Science from the University of California, Los Angeles with a dissertation on scientific collaboration networks which was awarded with the Best Dissertation Award by the American Society for Information Science and Technology (ASIS&T). Prior to starting his Ph.D., Alberto worked in the Information Technology Department of CERN, in Geneva, Switzerland, where he worked on data repository software and also promoted Open Access among particle physicists. Alberto holds a M.Sc. in Computer Science and a B.Sc. in Astrophysics, both from University College London, U.K. Alberto was born and raised in the wine-making town of Manduria, in Puglia, Southern Italy.
Speaker: Rossano Schifanella, University of Turin
Title: Mapping the Sensorial Layers of a City
Room: Informatics East 130
Abstract: Researchers have used large quantities of online data to study dynamics in novel ways. Consider the specific case of online networked individuals (e.g., users of Twitter, Instagram, Flickr). Can their social dynamics be used to build better tools for future cities? To answer this question, our research has focused on understanding how people psychologically experience cities. As a result, we have created new mapping tools that leverage senses and emotions, thus complementing the corporate idea of an efficient and predictable smart city, with the ultimate goal of reaching urban happiness. The work presented in this talk mixes data mining, urban informatics, and computational social science to show how a creative use of social media and network-generated data can capture the aesthetic, olfactory and sonic layers of our cities at scale.
Biography: Rossano Schifanella is an Assistant Professor in Computer Science at the Department of Computer Science of the University of Turin, where he is a member of the Applied Research on Computational Complex Systems group. He is a former visitor and collaborator of the Network & agents Network (NaN) group at the Center for Complex Networks and Systems Research (CNetS), and he is also a Visiting Scientist at Yahoo Labs where he studies the behavior of (groups of) individuals and their interactions on social media platforms, and the interplay between online and offline social behavior. He is also interested in computational methods to investigate social phenomena, aesthetics and creativity in media platforms, and human-centered ways to explore urban scenarios.
Speaker: Mike Conover, LinkedIn
Title: Unleashing the Hidden Power of Gephi
Time: 5:15 pm
Room: Informatics West 232
Abstract: Gephi is a familiar standard for exploring the structure of complex networks. Powerful though it is, much of its core functionality remains hidden behind non-obvious user interface elements. In this tutorial session, I’ll review some advanced techniques for analyzing and visualizing networks using the Gephi platform, including:
• Multi-node Brushing, Dragging & Grouping
• Numeric Range & Categorical Attribute Filtering
• Attribute-based Color & Sizing
• Performance Speedups
• Interactive Analysis
• Workspaces & Subgraphs
• Working with Data Laboratory
• Essential Plugins
• Layout Parameterization
Feel free to bring laptops loaded with your favorite datasets to hack on during the demo. Ahead of the session, you might want to review the latest materials on OS X / Gephi compatibility [1,2], as there are some JVM issues that can complicate launching Gephi on recent versions OS X.
Biography: Mike Conover is a data scientist at LinkedIn and a graduate of the Center for Complex Networks & Systems Research, where his research focused on the structure of political communication networks as part of the Truthy project. At LinkedIn, Mike builds machine learning technologies that leverage the behavior and relationships of hundreds of millions of individuals to connect the world’s professionals to make them more productive and successful. Mike’s research on economic and political networks has been featured in Forbes, the Wall Street Journal, Hacker News and on NPR.
We welcome the Web Science Lab to our center! This underscores our ongoing collaborations in the emerging discipline of Web Science. Since February 2012, CNetS is a member of WSTNet, an international network bringing together world-class research laboratories to support the Web Science research and education program. The Web Science Network of Laboratories combines some of the world’s leading academic researchers in Web Science, with academic programs that enhance the already growing influence of Web Science. The member labs, from institutions that also include USC, MIT, Northwestern, Oxford, and Southampton among others, provide valuable support for the ongoing development of Web Science. Contributions from the labs include the organization and hosting of summer schools, workshops and meetings, including the WebSci conference series.
Prof. Flammini (PI) and Menczer have been awarded a three-year, $2M grant from DARPA in the context of the Social Media in Strategic Communication (SMISC) program, whose primary goal is “to develop a new science of social networks built on an emerging technology base,” Our IU unit leads a three-group team that includes collaborators at Lockheed-Martin Advanced Technology Lab and the University of Michigan. The funded project is aimed at designing and implementing a system to detect online persuasion campaigns.