Tag Archives: NSF

CNETS PhD Program central in new $3 million NSF Training Grant

Luis RochaThe National Science Foundation has awarded nearly $3 million to train future research leaders in Complex Networks and Systems, via the PhD Program established by CNETS faculty. The highly selective grant from the NSF’s Research Traineeship Award will create a dual Ph.D. program at Indiana University to train graduate students to be proficient in both a specific discipline, such as psychology or political science, as well as network, complexity and data science. The new Ph.D. program will also leverage the strengths of the Indiana Network Science Institute, or IUNI, to involve students in interdisciplinary research.”The biggest challenges currently faced by society require large teams of people who are ‘fluent’ in more than one scientific discipline,” said Luis Rocha, CNETS professor in the IU School of Informatics, Computing, and Engineering who will lead the new program. “But the current education model in academia is still largely focused on training researchers who know how to set up independent labs with agendas driven by a single person. If we want to take on the really big problems, we’ve got to create more scientists with deep expertise in multiple areas.” Full Press Release Available.

David Crandall’s Career Award

David Crandall
David Crandall

Congratulations to David Crandall for his NSF CAREER Award! The Faculty Early Career Development (CAREER) Program is a Foundation-wide activity that offers the National Science Foundation’s most prestigious awards in support of junior faculty who exemplify the role of teacher-scholars through outstanding research, excellent education and the integration of education and research within the context of the mission of their organizations.  David’s project Observing the world through the lenses of social media will lay the foundation for using visual social media as a new source of observational data for a variety of scientific disciplines by investigating the algorithms and technologies needed for mining large collections of photographs and noisy metadata to draw inferences about the physical world. “Every day, millions of people across the world take photos and upload them to social media websites,” David observes. “Their goal is to share photos with friends and others, but collectively they are creating vast repositories of visual information about the world and how it looked across time and space. Aggregated together, these photos could provide new sources of observational data for use in disciplines like biology, earth science, social science or history.” More…


Complex Networks and Systems Track of PhD in Informatics

The Complex Networks & Systems track of the PhD program in Informatics at Indiana University has been training a new kind of interdisciplinary scientist and professional for over a decade. With its unique interdisciplinary approach, our program offers an exciting opportunity to master the connections between theoretical, technological, biological, and social implications of complex networks and systems in a research-oriented curriculum. The program is hosted by faculty at the associated Center for Complex Networks and Systems Research (CNetS) who are investigating complex systems in action, from determining how a YouTube video goes viral, mining Instagram data for public-health monitoring, developing models to predict the spread of online misinformation, studying innovation and conflict in parliamentary documents, to understanding the neural basis of behaviors.

Our program is central in a new NSF-Funded Interdisciplinary Training Program in Complex Networks and Systems. The goal is to train students to be “bidisciplinary” in Complex Networks and Systems (CNS) and another discipline of their choosing from the natural and social sciences, via an integrated dual-PhD program. It will seamlessly integrate traditional education with interdisciplinary hands-on research in a culture of academic and human diversity. For more information, including on on how to apply to this NSF-Funded program, please consult its website.

Both our stand-alone and NSF-funded dual-PhD programs capitalize on the new Indiana University Network Science Institute (IUNI) with over 150 faculty members who participate in network science and complex systems research and who can serve in interdisciplinary Ph.D. advisory committees. Indeed, the breadth and strength of research in network science and complex systems already pursued at Indiana University is unmatched by other academic programs.

The study of complex networks and systems is focused on discovering and understanding how the myriad parts of a system—social networks, the human brain, a language, a power grid, financial markets, or gene regulatory networks—interact with each other and drive the macroscopic behavior of the system. This strongly interdisciplinary field has exciting new solutions for computer science, physics, math, biology, health, and cognitive and social sciences. Our students come from around the world and have a wide variety of educational backgrounds. What they share is a desire to widen their theoretical, computational, and technical skills, and, from the earliest days of the program, to engage in research projects in the wide set of areas faculty in CNetS and IUNI lead in addressing the complex problems of the 21st century. Our students have gone on to join some of the best academic, government and research and development centers in the World, ranging from top universities to the most advanced technology companies. A description of the course structure, core faculty, syllabus of required courses, and graduation metrics is available.

Current h-index (Google Scholar) of PhD graduates from the Complex Networks & systems Track of the Informatics PhD Program at the School of Informatics and Computing per graduation year
Current h-index (Google Scholar) of PhD graduates from the Complex Networks & systems Track of the Informatics PhD Program at the School of Informatics and Computing per graduation year

Prospective students are invited to apply to the Complex Systems Track of the PhD in Informatics. Additional information available for those interested in the NSF-Funded Interdisciplinary Training Program in Complex Networks and Systems. Current students can find forms necessary for different stages of training at the School’s graduate education page; there is also a dissertation proposal set of guidelines.

The CNetS faculty is also actively supervising students in other relevant PhD programs at IUB including Computer Science, Physics, Biology, and Cognitive Science.

We also offer a dual PhD program in Informatics/Complex Systems and Cognitive Science.  The goal of this program is to train doctoral students to think across traditional levels of analysis in the cognitive, behavioral and brain sciences.

For more information on the Informatics Ph.D program, and how to apply please contact infograd@indiana.edu. For additional information about the Complex Networks & Systems Track please contact the track director Professor Luis Rocha.

NSF award to fund research on the social Web

givealinkFil Menczer recently received a $500,000 grant from the National Science Foundation to investigate the Social Integration of Semantic Annotation Networks for Web Applications. The project brings together complex networks and Web mining techniques to develop a new generation of search engines and collaborative Web applications such as GiveALink.org. The researchers will leverage existing annotations from users (such as the bookmarks they already maintain on their browsers) and elicit new ones through useful tools and games. The research will lead to a framework for building and maintaining socio-semantic networks of relationships between, and among, users, tags, and Web sites. In the end, these networks will improve social Web applications such as search, recommendation, spam detection, and exploratory navigation interfaces. More…