The 1st Symposium for the Society of Young Network Scientists (SYNS) is being organized by Network Science Institute at Northeastern University (NetSI) and Indiana University’s Network Science Institute (IUNI) and is being held at NetSci 2017. One of the goals of the meeting is to initiate the Society of Young Network Scientists (SYNS). The meeting will provide the opportunity for students to discuss, explore and design the new society of like-(network science)-minded colleagues. By the end of the meeting, students will have made decisions about how the organization should be run, and identify who will carry out what roles. Our hope is that this meeting will recur annually for years to come, providing an important forum for building a cohesive and diverse community to ensure next generation of network scientists can build the essential collaborative community required for developing solutions for the major problems facing the 21st century workforce.
The goal for this meeting is to help young network science scholars gain both a common foundational training in network science (including approaches, languages, problems), as well as a theoretical and substantive foundation in a particular discipline. The symposium will be designed in a way to facilitate the exchange of information, build community, and establish a core set of faculty and NS advisors and mentors. Our target is to both expand the quality of the cohort, and to build the basis for future collaborations.
If you are a PhD student /young scientist working on network science, and you would like to help planning and organizing the symposium or to be part of SYNS, contact us at firstname.lastname@example.org.
Follow us on twitter: @NetSciPhDs
Network Science is a diverse field of study that engages students from virtually every disciplinary field. While a few research centers are dedicated to network science, many young scientists often discover the field through deep inquiry in their own discipline. These researchers are often based within a department where they may be the only network scientist in their graduate cohort, or even in their entire graduate department.
This inaugural gathering of the Society of Young Network Scientists (SYNS) will bring together researchers who come from a variety of disciplines but are united by their common interest in network science. These scholars will need to be able to leverage massive data sets, understand scalability of tools, methods, and theories, in order to better understand, predict, influence, and design systems. This founding cohort will be the first in a professional network of transdisciplinary scholars who will serve as a foundation for the next generation of network scientists. Exposure to multiple disciplinary perspectives and diverse frameworks and applications will become critical for our next generation of network science thought leaders.
By the end of the workshop, students will be familiar with new tools, techniques, methods, and theories, and will be able to identify common themes (and major differences) across applications and disciplines. Importantly, the exchange is expected go well beyond the technical aspects by opening dialogues about courses, advisor and qualifying criteria, fellowship and grant opportunities, and challenges of interdisciplinarity. In the end, we hope this meeting will help to empower these students to be more agile thinkers, both in how they define major scientific challenges and develop inventive solutions for real world problems.
SYNS Satellite: Agenda
Two 3-hour tutorials from leading network scientists.
9:00am-12:00pm | Network Structure
A review of the basics of network science and its purposes, paying attention to both the structural characteristics of real networks (degree distribution, distances, clustering, correlations, etc.) how the structural attributes of real networks (scale-free property, small-world phenomenon, etc.) influence the dynamical behaviors that take place on them.
12:00pm-2:00pm | Lunch
2:00pm-5:00pm | Contagion and Spreading Processes on Networks
An introduction to the basic theoretical concepts and tools needed for the analysis of dynamical processes taking place on networks. Topics include: navigation/exploration processes of complex networks, epidemic spreading, social contagion, computational modeling approaches to contagion dynamic, and reaction-diffusion processes on networks.
Tutorials, presentations, and discussions between SYNS
participants and leading network scientists.
8:30am-9:00am | Welcome & Introductions
9:00am-10:00am | Lightning Presentations I
Student presentations about their work and research interests in informal lighting talks of 2-3 minutes.
10:00am-10:30am | Break
10:30am-11:30am | Lightning Presentations II
11:30am-1:00pm | Lunch
1:00pm-3:00pm | One Great Idea
Presentations from networks scientists across disciplines about “one great idea” that changed how they analyze data, write papers, approach research broadly, and more. The goal of this session is to help students build a toolkit of research strategies.
3:00pm-3:30pm | Break
3:30pm-5:30pm | SYNS: One Great Network
Facilitated discussion on the current state of the field, where we think the field will go in the next 10 years, and the role of young network scientists—the SYNS network—in shaping that future.
5:30pm-6:00pm | Break
6:00pm-7:30pm | Professional Development Panel
Informal panel discussion with five leading network scientists, each with unique career paths and research trajectories. This is an opportunity to ask questions to the panel, to discuss their career choices and strategies for working with interdisciplinary teams, and how to do good, collaborative science.
8:00pm-10:00pm | Dinner and the Future of SYNS
We will meet for dinner and beverages to decompress after a long day and figure out how we move forward logistically as a group over the coming years.
Albert-László Barabási is the Robert Gray Dodge Professor of Network Science and a Distinguished University Professor at Northeastern University, where he directs the Center for Complex Network Research, and holds appointments in the Departments of Physics and College of Computer and Information Science, as well as in the Department of Medicine at Harvard Medical School and Brigham and Womens Hospital in the Channing Division of Network Science, and is a member of the Center for Cancer Systems Biology at Dana Farber Cancer Institute. A Hungarian born native of Transylvania, Romania, he received his Masters in Theoretical Physics at the Eötvös University in Budapest, Hungary and was awarded a Ph.D. three years later at Boston University. Barabási latest book is Network Science (Cambridge University Press, 2016). He has also authored "Linked: The New Science of Networks" (Perseus, 2002), currently available in fifteen languages, "Bursts: The Hidden Pattern Behind Everything We Do" (Dutton, 2010) available in five languages, and is the co-editor of "The Structure and Dynamics of Networks" (Princeton, 2005). His work lead to the discovery of scale-free networks in 1999, and proposed the Barabási-Albert model to explain their widespread emergence in natural, technological and social systems, from the cellular telephone to the WWW or online communities.
Bruno Gonçalves is a Data Science fellow at NYU's Center for Data Science while on leave from a tenured faculty position at Aix-Marseille Université. He has a strong expertise in using large scale datasets for the analysis of human behavior. After completing his joint PhD in Physics, MSc in C.S. at Emory University in Atlanta, GA in 2008 he joined the Center for Complex Networks and Systems Research at Indiana University as a Research Associate. From September 2011 until August 2012 he was an Associate Research Scientist at the Laboratory for the Modeling of Biological and Technical Systems at Northeastern University. Since 2008 he has been pursuing the use of Data Science and Machine Learning to study human behavior. By processing and analyzing large datasets from Twitter, Wikipedia, web access logs, and Yahoo! Meme he studied how we can observe both large scale and individual human behavior in an obtrusive and widespread manner. The main applications have been to the study of Computational Linguistics, Information Diffusion, Behavioral Change and Epidemic Spreading. He is the author of 60+ publications with over 5100+ Google Scholar citations and an h-index of 29. In 2015 he was awarded the Complex Systems Society's 2015 Junior Scientific Award for "outstanding contributions in Complex Systems Science" and he is the editor of the book Social Phenomena: From Data Analysis to Models (Springer, 2015).
Peter J. Mucha
Peter J. Mucha is a Bowman and Gordon Gray Distinguished Term Professor at the University of North Carolina at Chapel Hill. He grew up in Minnesota and moved east to attend college at Cornell University where he majored in Engineering Physics. After taking a Churchill Scholarship to study in the Cavendish Laboratory at Cambridge with an M.Phil. in Physics, he returned to the States to continue his studies at Princeton with an M.A. and Ph.D. in Applied and Computational Mathematics. Following a postdoctoral instructorship in applied mathematics at MIT, and a tenure-track assistant professorship in Mathematics at Georgia Tech, he moved to Chapel Hill to join the Department of Mathematics and the Institute for Advanced Materials (now the new Department of Applied Physical Sciences) at UNC. Currently, he is a professor in these two departments (and former Chair of both), affiliated with the Duke Network Analysis Center, and the Director of the Chairs Leadership Program at UNC. Mucha's research group embraces an interdisciplinary approach to data science focused on networks and network representations, using mathematical models and statistical principles to develop and apply computational tools for the study of real-world data, working in close collaboration with domain science experts.
Brooke Foucault Welles
Brooke Foucault Welles is an Assistant Professor in the department of Communication Studies and a faculty affiliate of the Network Science Institute and NU Lab for Texts, Maps and Networks at Northeastern University. Dr. Foucault Welles studies how social networks shape and constrain human behavior, with a particular emphasis on how the recall and activation of network ties influences success in personal and team goals. In the past, Dr. Foucault Welles has examined how social networks influence friendship selection in online communities. More recently, her work focuses on how people come to recognize resources within their social networks and leverage them to achieve personal, organizational, and social goals. Dr. Foucault Welles teaches classes in social science research methods, children and media, and social network analysis. Prior to joining the faculty at Northeastern University, Dr. Foucault Welles earned her Ph.D. from the department of Communication Studies at Northwestern University. She also holds BA and MS degrees in Communication Studies and Information Science from Cornell University.Twitter: @foucaultwellesSource: https://camd.northeastern.edu/commstudies/people/brooke-foucault-welles/
Kevin Chan is research scientist with the Computational and Information Sciences Directorate at the U.S. Army Research Laboratory (Adelphi, MD). His research interests are in network science and distributed processing to study the complex operating environment of US DoD research problems. Dr. Chan has also recently been involved in research on opinion dynamics, dynamic networks, trust, distributed decision making, and quality of information. He has been an active researcher in ARL’s collaborative programs, the Network Science Collaborative Technology Alliance, Network and Information Sciences (NIS) International Technology Alliance and the Distributed Analytics and Information Science (DAIS) International Technology Alliance. He has been a member of several NATO panels (SAS-085, SAS-104, IST-150), where he has applied a network science concepts to Command & Control Agility. Prior to ARL, he received a PhD in Electrical and Computer Engineering (ECE) and MSECE from Georgia Institute of Technology (Atlanta, GA. He also received a BS in ECE/Engineering & Public Policy (EPP) from Carnegie Mellon University (Pittsburgh, PA).
Catherine Cramer is Senior Project Developer at the New York Hall of Science (NYSCI) in Queens, NY. She is a passionate science educator and outreach specialist with over 20 years experience in developing and managing collaborative projects, and mentoring and designing curriculum for students, teachers and the general public. Her particular areas of interest include network and big data literacy; Smart Cities; ocean literacy and resilience strategies; embodied cognition; design-based learning; digital humanities and computational thinking; and culture and computational processes.
Current and recent projects include NetSci High, which brought together network science grad students with high-needs high school students from Title 1 schools to complete year-long network science research projects; Big Data for Little Kids; Mobile City Science; Big Data Literacy Workshop; Big Data Fest; and Queens 20/20, a multi-faceted program of work taking place in the Corona, Queens neighborhood that engages children and their families, develops resources for teachers and students in schools, builds afterschool opportunities that respond to community needs, and supports meaningful STEM learning opportunities for high school and college students. She is an active member in the Network Science in Education community, contributing to Network Literacy: Essential Concepts and Core Ideas; the annual NetSciEd symposium; and several publications.
Hiroki Sayama is an Associate Professor in the Department of Systems Science and Industrial Engineering, and the Director of the Center for Collective Dynamics of Complex Systems (CoCo), at Binghamton University, State University of New York. He received his B.Sc., M.Sc. and D.Sc. in Information Science, all from the University of Tokyo, Japan. His research interests include complex dynamical networks, human and social dynamics, collective behaviors, artificial life/chemistry, and interactive systems, among others. He is an expert of mathematical/computational modeling and analysis of various complex systems. He has published more than 100 peer-reviewed journal articles and conference proceedings papers, has written a free online textbook Introduction to the Modeling and Analysis of Complex Systems, and has edited nine books and conference proceedings about complex systems related topics. He currently serves as an elected Council member and an Executive Committee member of the Complex Systems Society (CSS), an Associate Editor of Artificial Life (MIT Press), and as an editorial board member for Complex Adaptive Systems Modeling (SpringerOpen), International Journal of Parallel, Emergent and Distributed Systems (Taylor & Francis), Applied Network Science (SpringerOpen), and Complex & Intelligent Systems (SpringerOpen).
As chief scientist for the New York Hall of Science and adjunct professor at NYIT, Stephen Uzzo develops and leads large-scale initiatives to integrate cutting-edge science and technology into teaching and learning, and teaches courses in STEM learning at NYIT. He currently leads initiatives to build communities of practice and improve literacy of the public in complexity and data driven science and engineering. His dissemination activities include organizing international conferences and symposia and speaking at six to 10 major conferences per year. His background includes over 20 years of professional experience in teaching, learning, and research in science, technology, engineering, and math (STEM) and prior to that, 10 years in video and computer graphics systems engineering. Uzzo’s research interests include complex networks, teaching and learning of data-driven STEM, and the impact of big data on teaching and learning; his research has been funded by the National Science Foundation and a variety of private foundations and corporations. He holds a terminal degree in network theory and environmental studies from the Union Institute and serves on a number of advisory boards for institutions related to his interests. Having never lived very far from the ocean in New York and California, Uzzo has also been a lifelong advocate for marine conservation.
Danielle S. Bassett is the Eduardo D. Glandt Faculty Fellow and Associate Professor in the Department of Bioengineering at the University of Pennsylvania. She is most well-known for her work blending neural and systems engineering to identify fundamental mechanisms of cognition and disease in human brain networks. She received a B.S. in physics from the Pennsylvania State University and a Ph.D. in physics from the University of Cambridge, UK. Following a postdoctoral position at UC Santa Barbara, she was a Junior Research Fellow at the Sage Center for the Study of the Mind. In 2012, she was named American Psychological Association's `Rising Star' and given an Alumni Achievement Award from the Schreyer Honors College at Pennsylvania State University for extraordinary achievement under the age of 35. In 2014, she was named an Alfred P Sloan Research Fellow and received the MacArthur Fellow Genius Grant. In 2015, she received the IEEE EMBS Early Academic Achievement Award, and was named an ONR Young Investigator. In 2016, she received an NSF CAREER award and was named one of Popular Science’s Brilliant 10. She is the founding director of the Penn Network Visualization Program, a combined undergraduate art internship and K-12 outreach program bridging network science and the visual arts. Her work -- which has resulted in 112 published articles -- has been supported by the National Science Foundation, the National Institutes of Health, the Army Research Office, the Army Research Laboratory, the Alfred P Sloan Foundation, the John D and Catherine T MacArthur Foundation, and the Office of Naval Research.
Vittoria Colizza completed her undergraduate studies in Physics at the University of Rome Sapienza, Italy, in 2001 and received her PhD in Statistical and Biological Physics at the International School for Advanced Studies in Trieste, Italy, in 2004. She spent 3 years at the Indiana University School of Informatics in Bloomington, IN, USA, first as a post-doc and then as a Visiting Assistant Professor. In 2007 she joined the ISI Foundation in Turin, Italy, where she started a new lab after being awarded a Starting Independent Career Grant in Life Sciences by the European Research Council Ideas Program (more info on the EpiFor project webpage). In 2011 Vittoria joined the Inserm (French National Institute for Health and Medical Research) in Paris where she now leads the EPIcx lab working on the characterization and modeling of the spread of emerging infectious diseases, by integrating methods of complex systems with statistical physics approaches, computational sciences, geographic information systems, and mathematical epidemiology. Vittoria received the Young Talent Award by the Italian Ministry of Youth in 2010, the Prix Louis-Daniel Beauperthuy 2012 (Human biology & Medical sciences) by the French Academy of Sciences, the Young Scientist Award for Socio-Econophysics in 2013. She serves since 2011 as the Young Advisor to the Vice President of the European Commission Mrs. Neelie Kroes for the new Digital Agenda for Europe.
Lise Getoor is a professor in the Computer Science Department at the University of California, Santa Cruz. Her research areas include machine learning, data integration and reasoning under uncertainty, with an emphasis on graph and network data. She has over 200 publications and extensive experience with machine learning and probabilistic modeling methods for graph and network data. She is a Fellow of the Association for Artificial Intelligence, an elected board member of the International Machine Learning Society, serves on the board of the Computing Research Association (CRA), and was co-chair for ICML 2011. She is a recipient of an NSF Career Award and ten best paper and best student paper awards. She received her PhD from Stanford University in 2001, her MS from UC Berkeley, and her BS from UC Santa Barbara, and was a professor in the Computer Science Department at the University of Maryland, College Park from 2001-2013.
Roberta Sinatra is an Assistant Professor at the Center for Network Science and at the Department of Mathematics, at the Central European University at Budapest, Hungary, and a visiting Faculty at the Network Science Institute, Northeastern University (Boston, MA, USA). She is a theoretical physicist by training, working at the forefront of network and data science, developing novel theoretical methods and analyzing empirical data sets on social phenomena and human behavior. Her research projects span topics as diverse as random walks and human mobility on networks, to quantifying human behavior during cooperative games by EEG measurements. Currently, she spends particular attention on the analysis and the modeling of information and dynamics that lead to the collective phenomenon of success.
Alex Vespignani is the Director of the Network Science Institute and Sternberg Family Distinguished University Professor with interdisciplinary appointments in the College of Computer and Information Science, College of Science and the Bouvé College of Health Sciences. Vespignani received his undergraduate degree and Ph.D., both in physics and both from the University of Rome “La Sapienza,” in 1990 and 1994 respectively. He completed his postdoctoral research at Yale University and Leiden University. Vespignani worked at the International Center for Theoretical Physics (UNESCO) in Trieste and at the University of Paris-Sud in France as a member of the National Council for Scientific Research (CNRS) before moving to Indiana University in 2004. Before joining Northeastern University Vespignani was J.H.Rudy Professor of Informatics and Computing at Indiana University and serving as the Director of the Center for Complex Networks and Systems Research and the Associate Director of the Pervasive Technology Institute. Vespignani is elected fellow of the American Physical Society, member of the Academy of Europe, and fellow of the Institute for Quantitative Social Sciences at Harvard University. He is serving in the board/leadership of a variety of professional association and journals and the Institute for Scientific Interchange Foundation. Vespignani has worked in a number of areas of non-equilibrium particle systems, statistical physics and computational sciences. Recently Vespignani’s research activity focuses on the interdisciplinary application of statistical and numerical simulation methods in the analysis of epidemic and spreading phenomena and the study of biological, social and technological networks. Vespignani has published 140+ peer reviewed papers in top rated scientific journals, including Nature, Science and PNAS that have accrued more than 29,000 citations according to the Google Scholar database. He is author, together with Romualdo Pastor-Satorras, of the book Evolution and Structure of the Internet. Together with Alain Barrat and Marc Barthelemy he has published in 2008 the monograph Dynamical Processes on Complex Networks.
A social event will be scheduled in the evening that will be open to all graduate students and young scholars.
The implementation of this symposium is built on a partnership between Northeastern University and Indiana University. Over the last few years, both Universities have invested significantly into Network Science, resulting in one of the first PhD minor (since 2014, at IU), and the first U.S. based PhD program (at NU since 2013) in Network Science. We hope to extend this PhD Student community to many other Universities across the globe.
Dr. Coronges is the Executive Director of the Network Science Institute at Northeastern University. In this position, she provides administrative leadership to the institute by contributing to long-term strategic planning and vision for its role in the larger scientific community. She joined the Institute in April 2015. Before that, she worked for the US Army for over six years as Assistant Professor in the Department of Behavioral Sciences and Leadership at the US Military Academy, and more recently as a Program Manager in the Information Science Directorate at the Army Research Office. She received her PhD in health behavior from the University of Southern California in 2009. Coronges was the Managing Editor for Connections journal, International Network of Social Network Analysis for a decade. Her research has focused on social structures and dynamics of teams and communities and their impacts on communication patterns, behaviors and performance.
Dr. Mabry is the Executive Director of the Indiana University Network Science Institute (IUNI) and is a Senior Research Scientist in the IU-Bloomington School of Public Health. Through interdisciplinary collaboration, educational offerings, methodological innovation, theoretical development, and provision of supercomputing and IT resources, IUNI nurtures 21st century network science among over 150 affiliated IU faculty. Prior to joining IU in October of 2015, Dr. Mabry had a 15-year career at the National Institutes of Health serving in the National Cancer Institute’s Tobacco Control Research Branch, the Office of Behavioral and Social Sciences Research (OBSSR) and the Office of Disease Prevention (ODP). At NIH Dr. Mabry established and led a systems science program in the behavioral and social sciences and served on the Big Data to Knowledge (BD2K) Executive Committee. She also led ODP’s portfolio analysis tool development team. Her expertise spans obesity, tobacco control, diabetes, mood disorders, systems science, scientific rigor, and big data. Her work has been published in Science, the American Journal of Public Health, the American Journal of Preventive Medicine, Nicotine & Tobacco Research, and PLoS Computational Biology. Dr. Mabry is a Fellow of the Society of Behavioral Medicine and was a 2008 recipient the Applied Systems Thinking Prize. Dr. Mabry holds a Ph.D. in clinical psychology from the University of Virginia.
Evelyn is a Postdoctoral Research Associate in the MOBS (Modeling of Biological and Socio-technical Systems) Laboratory of the Network Science Institute at Northeastern University. Previously she was a Postdoctoral Researcher in the Nonlinear Dynamics Group at Brandeis University. She received her PhD in Physics from the University of Athens in collaboration with the National Center for Scientific Research "Demokritos" in Greece, her MS in Applied Mathematics from the University of Massachusetts in Amherst, and her BS in Physics from the University of Athens in Greece. She has been one of the founders of the Young Researchers Network on Complex Systems and the Chair of its Advisory Board from Oct 2013 to Oct 2015. She has co-organized many satellites, workshops and schools on Complex Systems and is greatly interested in the education of complex systems and network science.
Dr. Foucault Welles is an Assistant Professor of Communication Studies and core faculty member of the Network Science Institute at Northeastern University. Combining the methods of network science with theories from the social sciences, Foucault Welles studies how online communication networks enable and constrain behavior, with particular emphasis on how these networks facilitate the pursuit of individual, team, and collective goals. Much of her work is interdisciplinary and collaborative, with co-authors from computer science, political science, digital humanities, design, and public health. Her recent contributions include a series of studies of the transformative power of networked counterpublics, techniques for the longitudinal analysis of communication networks using event-based network analysis, and guidelines for the effective use of network visualizations in scientific and lay publications. Her work is funded by grants from the US Army Research Office and US Army Research Lab, and has been featured in leading social science journals such as the Journal of Communication, Information, Communication and Society, and The Annals of the American Academy of Political and Social Science. She serves on the editorial board of the journal Web Science and was part of the team that developed the Network Literacy Essential Concepts and Core Ideas. Dr. Foucault Welles holds a Ph.D. in Communication from Northwestern University.
Brennan is a 2nd year PhD student in Network Science at Northeastern University. He received his BA in Cognitive Science and Psychology from Swarthmore College in 2014, focusing on the relationship between perception, action, and cognition. Currently, in his work with Professor Chris Riedl, he studies human decision making, complex problem solving, and group behavior. This primarily involves running online experiments with human participants, as well as simulations of collective human behavior using agent-based modeling. Brennan likes to draw.
Sarah received her BA in Physics from Clark University, where she graduated Cum Laude in 2004. She received her MA in Integrated Marketing Communications from Emerson College in 2009, and participated in Tisch College's Summer Institute of Civic Studies in 2013. An active member of the Somerville, MA community, Sarah serves as clerk of The Welcome Project board and on the board of the OPENAIR Circus. Sarah is interested in applying network science to questions of civil society and political deliberation.
Leo is interested in the intersection of Network Science, Complexity Science, and Neuroscience. By using different approaches from Computer Science, like graph mining and machine learning, he is trying to uncover the underlying principles governing the interplay between structure and function of dynamical networks. Leo has a B.S in Mathematics from a top-rated Peruvian Mathematics department, and is a self-taught programmer, having attended the Recurse Center, a programmer retreat in NYC, to focus on algorithm design and high-quality code writing standards.
We are no longer accepting applications.
We welcome applications from PhD students from any department who are interested in applying network science based tools, theories, and methodologies. We anticipate enough funding to admit 20 applicants, with scholarships that will cover the costs of the workshop attendance, lodging, and reduced registration fee at the NetSci2017 Conference.
The deadline to apply is March 15, 2017.
Participant selection will be based on the quality of the student’s application and the overall relevance of their research interests. We are not looking for a specific “type” of applicant-- instead we are looking for applicants who have diverse interests, who are from many disciplinary backgrounds, and who have unique sets of skills. In addition, we will evaluate how well-aligned the goals of the symposium are to the student’s interests and research trajectories. Our hope is to facilitate the creation of a cohesive and complementary graduate student community.
We invite you to join us with an open mind to learn from and teach your future peers various concepts, coding skills, and tools. We are hoping to have a teach-and-learn session where attendees share skills for ~20 minutes with one another. In addition, we will ask participants to present 5-minute lightning talks on their current research interests. For students with more developed research trajectories, we anticipate being able to offer space at a poster session (please indicate on your application if this applies to you).
There are NetSci2017 student scholarship awards available (learn more here).