COMPLEX NETWORKS WINTER WORKSHOP
Achille Brighton×Howdy folks, Achille Brighton
Currently I'm a software engineer at Google Research. I work on energy efficient neural networks (MobileNets) part of a multidisciplinary group (Cerebra) focusing on personalized, individual, low power AI where. Individual devices learn collaboratively via federated learning. See Blaise Aguera Neurips 2019 Neurips talk for more details.
Background: MS in Computer Science at Georgia Tech.
Before Google I worked as a technical consultant in big data storage. Worked with with ~100 different companies, in various areas -- energy companies, ad tracking, analytics, airfare pricing, dating, logistics etc. Generally I was hired to provide engineering help but many times my solutions were actually ruber-ducking systemic adjustments.
Outside work I'm working on a project to promote an up-and-coming sport: Longboard Dancing by targeting individual subgroups with customized media.
Alexander Gates×Keywords: computational social science, science of science, higher-order networks, hockey, information dynamics, canalization
Alex Gates is an Associate Research Scientist at the Center for Complex Networks Research, Northeastern University.
His research explores how interconnectedness shapes the social, scientific, and business world around us. His academic research employs a highly multidisciplinary approach—combining tools and techniques from Computational Social Science, Data Science, and Network Science with theory from Sociology. Some of his recent contributions include the quantification of systematic bias in scientific and artistic careers, quantitative measure for canalization and control in gene regulatory networks, a dynamical protocell model for autopoiesis, and a novel framework for comparing overlapping and hierarchical clusters and communities. Before arriving at Northeastern, Alex received a joint PhD degree in Informatics (complex systems track) and Cognitive Science from Indiana University, Bloomington, an MSc from Kings College London in complex systems modeling and a BA in mathematics from Cornell University. He currently works with professor Barabási on the science of success and the dynamics of academic careers.
Alexandre Philip Caouette×Keywords: Ecology, Entomology, Invasive Species, Population Biology, Species dispersal,
Born and raised in Edmonton, Alberta. I completed my Bachelor of honours in biology, where I did a project looking at the dispersal of a non-native species of katydid using large scale bioacoustics and automated audio detection. I am now doing my Master's of Science at the University of New Brunswick. Here I am looking to use complex network modelling to study the dispersal of the Emerald Ash Borer in the Maritimes.
Alexis Diana Earl×Keywords: evolution, social behavior, flexibility, complexity, cognition, communication, resilience, urban ecology
I am an Evolutionary Biologist and Ethologist, currently working on my PhD in the Rubenstein Lab within the Ecology, Evolution, and Environmental Biology Department at Columbia University in the City of New York. My research aims to advance our understanding of the evolution of complex social behavior and communication. My current work investigates the relative influence of environment (particularly social environment) versus genome on individual social decisions and responses to environmental change. I am studying factors that affect lifetime social trajectories in long-lived superb starlings (Lamprotornis superbus) residing in large complex altruistic societies in the African savanna. In the past I have studied visual signaling in Indian peafowl, specifically female iridescent ornamentation as a signal for social status. I have also studied movement ecology of lesser long-nosed bats, and the influence of reef sounds on larval coral reef fish settlement behavior.
Alice Schwarze×Keywords: mathematical biology, networks, network robustness, dynamics on networks, network inference, data science
Alice is a postdoctoral scholar and a Univeristy of Washington data science postdoctoral fellow. She received a DPhil in Mathematics from the University of Oxford for research advised by Mason Porter on entropy and robustness of dynamics on networks. Her research interests include mathematical modelling of dynamical processes on networks and applications in neuroscience, computational biology, and complex systems.
Allison Johnson×Keywords: Cooperative breeding, mixed-species flocks, sociality, communication, temporal dynamics, ecogeography
I am a Research Assistant Professor at the University of Nebraska-Lincoln, working in the lab of Dr. Daizaburo Shizuka. My research lies at the intersection of evolutionary biology and behavioral ecology. I investigate how environmental factors and social environment influence the formation of social groups and social dynamics between group members to better understand how social systems evolve. I use a group of highly social birds, the fairywrens (Malurus), as a study system to address a variety of questions about how variation in sociality shapes organisms, leveraging a long-term international field site, studies across an ecological gradient, a broad-scale comparative citizen scientists program, and social network modeling to form a multi-pronged approach to data collection and analysis.
Allison Roth×Keywords: Animal behavior, animal sociality, animal personality, disease ecology, sexual selection, social selection
I am a behavioral ecologist who focuses primarily on questions related to animal sociality, sexual selection, and disease ecology. I obtained my MA from Columbia University, studying between group encounters in blue monkeys (Cercopithecus mitis). I went on to complete a DPhil (PhD) at the University of Oxford where I explored the intersection between animal personality and sociality, using a dual study system of great tits (Parus major) and red junglefowl (Gallus gallus). I am currently exploring the transmission dynamics of avian blood parasites in California quail (Callipepla californica) using social network analyses.
Amanda Casari×Engineering Manager, Google
Building soapboxes + shining spotlights. Open source community health + resilience. Making useful things for people. Space. Privacy. Applied ML + AI. Complex networks of all sorts. [pronoun.is/she]
Amanda McGowan×Keywords: Health neuroscience, physical activity, concussion, cognition, health behaviors, preschoolers
Amanda McGowan is a postdoctoral researcher in the Addiction, Health, and Adolescence Lab at the University of Pennsylvania. She received her PhD in Kinesiology with a concentration in Cognitive Motor Neuroscience from Michigan State University. Her research is in the area of health neuroscience, examining the dynamics between health behaviors and cognition. With the aim of informing school policy and practice as well as the design of interventions targeting health behavior change, her research tests how between-person and within-person variability in biopsychosocial factors (e.g., physical activity, sleep, self-regulation, fitness) alter health outcomes and neurocognitive development particularly for those populations at risk of obesity.
She integrates behavioral paradigms, with neuroimaging and psychophysiological techniques, intensive longitudinal methods, and cutting-edge mobile/wearable technologies to measure fluctuations in behavior and associations with health. By investigating questions across affective, cognitive, educational, and developmental domains, she is interested in understanding biopsychosocial factors supporting consistent engagement in physical activity in daily life, so all individuals can achieve good health and mitigate disease risk, with a particular focus on early childhood and the college years.
Annemarie van der Marel×Keywords: Social evolution, social behavior, social system, cognition, anti-predator behavior, mammals, birds, invasive species
I am a behavioural ecologist studying social evolution and invasion biology. I am interested in understanding the selective pressures and constraints that influence social behaviour. Currently, I am studying the role of social cognition on flock dynamics in monk parakeets. Previously, I studied both the fundamental and applied side of social behaviour in an invasive ground squirrel.
Benji Zusman×Hi, my name is Benji Zusman, I'm a physician who recently finished internal medicine residency at University of Florida. My background beyond medicine is originally in biochemistry and bench science (genetics, virology, drug design), with more recent experience branching into network projects at Santa Fe Institute and a similar online complex system network seminar (Net-COVID COMBINE). I've collaborated to model the cultural evolution of literary genre with genetic algorithms, and I'm currently working on an adaptive network model of Covid-19 absenteeism in the work setting using hospital data. I've dabbled in film, and am curious about about all things art-related. Of particular interest: ecological networks (especially insects in forests under co-evolutionary pressures), nonlinear dynamics, temporal exponential random graph models, visualizations, networks in healthcare, medicine, genetics, behavior, and economics. Interested in branching into new fields while picking up new skills
Briane Paul V. Samson×Keywords: transportation networks, collaboration networks, science of science, conflict networks, spread of mis/disinformation, mobility
I am an Assistant Professor of Computer Science in the College of Computer Studies at De La Salle University, and co-directs the Center for Complexity and Emerging Technologies (COMET). My research focuses on the integration of human-computer interaction and complex systems research in developing civic media and technologies that promotes prosocial behavior. I develop human-centered and interactive technologies that are designed to improve one's personal productivity and well-being, and to assess and manage urban mobility, transportation services, and disaster preparedness and response. At the same time, I investigate the underlying and complex dynamics of sociotechnical systems (e.g. crowds, social networks), especially with the introduction of technological solutions. Currently, I'm focused on rethinking navigation applications as a civic technology that encourages drivers to follow unselfish routes, which could help them develop sustainable mobility patterns.
I earned my doctorate degree in systems information science from Future University Hakodate in Japan, and M.S. and B.S. in computer science from De La Salle University. I was a Japanese Government (MEXT) scholar under the supervision of Prof. Yasuyuki Sumi in the Interaction Media Lab. Lastly, I am a Heidelberg Laureate Forum Young Researcher in 2020 and a recipient of the VizRisk 2019 Challenge Grand Prize and Best Interaction Design Award from the World Bank and Mapbox.
Bridget E. Keown×Keywords: Gender, Trauma, History, Epidemics, History, First World War
Bridget Keown earned her PhD in history at Northeastern University, where her research focused on the experience and treatment of war-related trauma among British and Irish women during the First World War and Irish War of Independence, and the construction history through trauma. She has written blogs on this research for the American Historical Association and Lady Science, and is a contributing writer for Nursing Clio. She is also researching the history of kinship among gay and lesbian groups during the AIDS outbreak in the United States and Ireland. Her other interests include the history of emotions, history of medicine, gender and the horror genre, and postcolonial queer theory and performance. Bridget is a co-chair of the Gender and Memory Working Group of the Memory Studies Association and serves on the Executive Council of the American Conference for Irish Studies.
Catherine Marie Herzog×Keywords: Infectious disease epidemiology & disease ecology
I am an experienced epidemiologist (MPH U Michigan School of Public Health; thesis: cancer epidemiology in Egypt) and recent PhD graduate of Penn State University's Center for Infectious Disease Dynamics (CIDD). My doctoral research examined the epidemiology, spatial distribution, and transmission dynamics of peste de petits ruminants virus (PPRV), a Morbillivirus similar to rinderpest in northern Tanzania. I am now a Postdoctoral Scholar at Penn State University working on a multi-species transmission trial of PPRV among sheep, goats, and cattle, in Ethiopia. I have also worked in government in the field of health informatics (CDC Zambia Health Informatics Branch) of a national electronic health record system (SmartCare) as well as industry contracted as an informaticist/epidemiologist at the Air Force Medical Support Agency on chronic conditions such as diabetes, obesity, and metabolic syndrome. I am passionate about emerging and zoonotic diseases in multi-host systems. I am excited to participate in CNWW and get hands on experience with network analysis and meetings others interested in networks. Outside of work I love to travel, explore, eat & cook, dance, and sing in a choir.
Chantal Hutchison×Keywords: Food webs, seasonality, migrations, Arctic tundra, temporal networks, wavelets, multi-level networks, connectivity
I’m Chantal, I’m a post-doc in the lab of Pierre Legagneux at l’Universite Laval. My background is in theoretical physics. I completed a Bachelor of Math at the University of Waterloo where I focused my studies on quantum computing. I then went on to do a master's degree at the Perimeter Institute in Waterloo, Ontario. Afterwards, I decided to pursue a PhD in ecology and joined the research group of Frederic Guichard at McGill University, co-advised by Dominique Gravel at the University of Sherbrooke. During my PhD, I developed a dynamical model which could handle migrating species in food webs. The idea was to be able to study the stability of seasonal communities in the arctic tundra which can switch between multiple equilibria. My current research interests are to construct temporal networks for Arctic food webs. With these networks, I want to develop new network metrics which can characterize their structure and to account for the hierarchy of temporal processes arising in these food webs. My overall goal is to create realistic multi-layer networks for Arctic communities to better understand the complexity of arctic food webs in a changing environment which requires integrating species interactions at multiple scales.
Clayson Sandro Francisco De Sousa Celes×Keywords: Temporal and Spatial Networks
Complex Networks and Mobility
Dynamics on and of Complex Networks
Mobile Call Complex Networks
Structural Network Properties
I am a Ph.D. Student at the University of Ottawa/Federal University of Minas Gerais in Computer Science. My focus is on data mining in urban computing. I have been working on applying complex network concepts to model and understand data communication networks (e.g., VANET, MANET), location-based social networks, and face-to-face contacts. I am so excited to be attending this workshop, exchange knowledge, and learn more about this fascinating topic.
Connor Klopfer×Keywords: Co-occurrence, ecology, global health, network inference, dynamic networks, Bayesian, microbiology
Hello, My name is Connor Klopfer, I'm a graduate student pursuing my Master's degree at the University of Vermont, using network models to understand co-infections. I'm excited to be here and learn new techniques that others are using in network science.
Connor Pierce Gibbs×Keywords: Causal inference; network analysis; sports analytics
Connor Gibbs is a third year PhD student in the department of Statistics at Colorado State University. He graduated summa cum laude from the University of Georgia in May of 2018 with a B.S. in Mathematics and a B.S. in Statistics. Aside from his work in causal inference and biological network analysis, Connor enjoys hiking and traveling.
Cristy Stone×Keywords: Human-computer interaction, human-AI collaboration, complex systems especially in regards to social/organizational dynamics, storytelling, complexity economics
I've built my career by uncovering and understanding the intersection of human needs, business needs, and technology. Using human-centric tools and approaches, I've researched, prototyped, and built at various consultancies, agencies, startups, and corporations (including Nordstrom's Innovation Lab) and is now leading research in emerging technologies for Avanade.
Interested in just about everything, I get really animated when talking about design thinking, complexity science, octopuses, and textile art.
Daniela Aguirre Guerrero×Keywords: Evolve networks, spreading in complex networks, social networks, communities detection, Interdependent networks
I am a titular professor at the Deparment of Information Systems and Communications of the Universidad Autónoma Metropolitana in Lerma, Mexico. My Research interests are Distributed algorithms for large-scale networks, Graph theory, Network science and Complex systems
Daniela Gawehns×Keywords: Data Fusion
Daniela is a PhD student in computer science at Leiden University. Her research focuses on the integration of data from diverse data sources for data science applications in the Health Sciences. Before her doctoral studies, she obtained a Masters degree in Clinical Neuropsychology and a Masters degree in Statistical Sciences. She is interested in reproducible research practices for machine learning research and promotes making computer science an open, diverse and welcoming field of research.
Emily Moog×Keywords: critical infrastructure systems, temporal networks, social networks,
I am a 2nd-year Master's student at the University of Illinois at Urbana-Champaign in electrical and computer engineering. I'm currently researching the effects of networked critical infrastructure failures on communities and how to simulate these effects. My previous research supported modeling interdependencies between critical infrastructure networks.
Furkan Gürsoy×Keywords: complex networks, machine learning, representation learning, dynamic networks, signed networks, data science, agent-based simulation, system dynamics
He received the BSc degree in Management Information Systems from Bogaziçi University, Turkey, and the MSc degree in Data Science from Istanbul Sehir University, Turkey. Currently, he is working towards the PhD degreein Management Information Systems at Bogaziçi University. He previously worked as an IS/IT consultant and as a machine learning engineer in the industry for several years. He held a visiting researcher position at IMT Atlantique, France in 2020. His research interests include complex networks, machine learning, simulation, and broad data science.
Grace Smith-Vidaurre×Keywords: Molecular epigenetics, social interactions, vocal learning, social learning, network analyses, interactions among forms of nongenetic inheritance
I am a biologist interested in the molecular underpinnings of socially learned behavior, and how different forms of nongenetic inheritance can interact to influence ecological and evolutionary change. My PhD research focused on using patterns of genetic and acoustic variation in an invasive parrot to better understand the contributions of genetic processes to biological invasions, as well as how social recognition systems are resilient or sensitive to social change post-invasion. As a postdoc in the Jarvis and Hobson labs at the Rockefeller University and the University of Cincinnati, respectively, I will assess the sensitivity of vocal learning phenotypes, epigenetic variation in the brain, and social phenotypes to early-life stress.
I am currently a third year PhD student at the University of Colorado Boulder, where I'm proud to have Drs. Joshua Grochow and Rafael Frongillo as my advisors. Prior to starting my PhD, I completed an MS in applied math at the University of Massachusetts Amherst and worked with Dr. Robert Kozma on models of neuro-dynamics as part of the BiNDS lab.
Guang Han×Keywords: Social Network Analysis;
Guang Han is currently a postdoctoral researcher at the Department of Nutrition and Food Sciences & Food Systems Program, University of Vermont. He earned his Ph.D. degree with majors in Sustainable Agriculture and Agricultural Extension Education in August 2020 at Iowa State University. His research centers on the sociological and agricultural extension perspectives of sustainable agriculture and food systems, with a particular focus on organic agriculture, cover crops, alternative energy, and climate change.
Hend Alrasheed×Keywords: Network structure/topology.
Social network analysis.
Hend Alrasheed received the B.E. and M.E. degrees in computer Science from King Saud University. She received her PhD in computer Science from Kent State University. in 2018. Currently, she works as an assistant professor in the Department of Information Technology, King Saud University. Her research interests include graph theory, network science, and social network analysis.
Jeremy Côté×Keywords: Quantum computing, tensor networks, machine learning, quantum many-body systems, graphs
My name is Jeremy, and I am a PhD student at the Université de Sherbrooke, studying quantum matter and computation. My research is all about entanglement, and how it makes problems difficult or intractable. I use tools from graph theory, machine learning, and tensor networks to analyze quantum systems.
Outside of research, I love science communication. I'm both a writer and a cartoonist, and these allow me to share my love of science to everyone. When I'm not doing science, I'm either running or reading.
Jianjian Gao×Keywords: policy/innovation diffusion, hypergraphs, multilayer graphs, cooperation networks, global environmental governance, climate change
I am a third-year PhD student at the School of Business and Management, Queen Mary University of London. I mainly work on the network analysis of global environmental cooperation. In addition, I also work on the diffusion of climate laws among countries. I got my bachelor and master degree in Thermal Energy and Power Engineering at Shandong University and the Chinese Academy of Sciences, respectively. I hope to make contributions to global environmental governance by conducting my current research.
Joseph O'Brien×Keywords: Social spreading; mathematical modelling; stochastic processes; data science; science of success; data visualization; epidemic modelling; control theory
I am a final year PhD student at the University Limerick where I work under the supervision of Prof. James Gleeson. Our work focusses on the intersection of network science, mathematical modelling, and data science with the hope of better understanding physical processes through the digital traces we all leave every day. Beyond that I am also interested in the application of these tools to novel datasets in the hope of uncovering interesting findings - examples have included the quantification of skill in Fantasy sports and also providing a ranking of competitors within the sport of snooker.
Beyond this, I am very open-minded with regards potential research opportunities and very much look forward to both learning from and working with a diverse collection of researchers in the hope of developing interesting collaborations across a spectrum of domains.
Laura N Vander Meiden×Keywords: social dynamics, interspecific interactions, group living, mixed-species flocks, community ecology, data journalism, data storytelling
I am a PhD Candidate in the Shizuka Lab at University of Nebraska-Lincoln studying the social dynamics of mixed-species flocks of birds. I use field observations and experiments combined with network analysis and modeling to determine how social and environmental factors shape patterns of species assembly and behavior in animal communities. Topics I am working on include the effect of cross-species social relationships on reproductive fitness, the impact of mixed-species flockmate identity on foraging plasticity, and the development of a dyadic network measure that more accurately measures the influence of the presence of one species in a flock on the presence of another using observational presence-absence data. What ties this work together is my goal to integrate the species-level research that is common in the mixed-species flock literature with data on the individual-level relationships and variation found within these social communities.
In addition to my PhD research, I have become increasingly interested in the potential role of data and coding in storytelling and journalism. I have worked with the Roper Lab for Data in Community News on a team developing methods to automate hyperlocal data stories across the state for the use of small local papers. I am currently working towards learning how to share information through the use of interactive and multi-media data portrayals and would love to connect with people doing the same!
Lauren Stanton×Keywords: animal behavior & cognition, urban ecology, human-wildlife coexistence, social learning, animal culture, animal personality, carnivores
Lauren Stanton is a recent graduate from the interdisciplinary Program in Ecology at the University of Wyoming. She is interested in human-wildlife interactions and how animals use cognition to navigate social and ecological complexity. Specifically, she studies how cognitive abilities, like learning, behavioral flexibility, and problem solving, help animals cope with urbanization. Lauren’s dissertation research is focused on the cognition and behavior of highly adaptable urban mesocarnivores, including raccoons (Procyon lotor), striped skunks (Mephitis mephitis), and coyotes (Canis latrans). Lauren has conducted multiple experimental investigations of cognition in captivity via collaborations with scientists at the USDA’s National Wildlife Research Centers. Lauren has also studied the cognition of wild, free-ranging mesocarnivores in the town of Laramie, WY using automated feeding devices and radio frequency identification techniques. She is interested in several aspects of complex systems science, such as social network analysis, and seeks to better understand urban environments as social-ecological systems.
Lisa Pearl Barrett×Keywords: animal cognition, animal personality, comparative cognition, social learning, conservation behavior, human-wildlife interactions
Originally from Pennsylvania, Lisa graduated with a Bachelor of Science in Evolutionary Anthropology from the University of Michigan. After undergrad, she worked as a research assistant for Think Elephants International in Thailand before beginning graduate school in the Animal Behavior & Cognition Lab at the University of Wyoming. As an NSF Graduate Research Fellow, Lisa carried out her dissertation work on personality, innovation, learning, and social learning of captive Asian elephants and zebra finches. Lisa is now a Postdoctoral Fellow in Animal Behavior at the Oklahoma City Zoo. Her research projects span basic science, animal welfare, and conservation, involving species such as Texas horned lizards, African painted dogs, and Asian elephants.
Mahsa Nouri Zonouz×Keywords: Political Sociology
Social network Analysis
I am Mahsa, born in Tabriz, Iran. I was intrigued by astronomy when I was a kid. Thus, studied physics at SBU, Tehran. By the time I had to decide whether to continue physics, I realized I love it but I was more interested in using the insight I got in more social applications and that led me to pursue social sciences for a master's degree.
I was unfortunate in doing a more quantitative thesis due to the traditional approaches of my university. However, I am trying to learn computational social science and enrich my toolbox step by step. Participating in this workshop is supposed to be another valuable step. I work as a policy researcher in "Data for Governance Lab" (Sharif policy think tank) nowadays.
Mari Kawakatsu×Keywords: dynamical systems, game theory, cooperation, adaptive networks, temporal networks, opinion dynamics, collective behavior, generative models
I am a Ph.D. candidate in the Program in Applied and Computational Mathematics at Princeton University. As a mathematical biologist and an applied mathematician, I use tools from evolutionary game theory, dynamical systems, and network science to explore mathematical and computational models of collective and emergent behavior in social systems. I am especially interested in understanding how inter-individual differences and population structures influence and are influenced by collective dynamics. My recent and current projects have focused on self-organized division of labor in ant colonies, hierarchies in adaptive networks, and cooperation and polarization in group-structured populations, among others.
Mariah C. Boudreau×Keywords: Network analysis, biological applications, disease dynamics, anatomical networks
Mathematical Science PhD Student interested in network analysis with biology applications. Currently researching sensitivity of probability generating functions (PGFs) and expanding PGF formalism for interventions. Excited to learn more about the area of anatomical network analysis as well.
Born and raised Vermonter who enjoys hiking, skiing, board games, and Crossfit.
Marya Poterek×Keywords: infectious disease modeling, social media, behavior
I'm a second-year PhD student in the Department of Biological Sciences at the University of Notre Dame. I'm originally from Austin, Texas, and graduated from Notre Dame in 2019 with a BS in Science-Computing. I am currently a member of the Perkins Lab at Notre Dame, and am involved in research applying computational approaches to answer questions about the ecology and epidemiology of infectious diseases.
I am particularly interested in analyzing the role of human behavior and communications in the spread of infectious disease. Fear of disease, particularly of an illness that is notably severe or contagious, can spread farther and faster than the disease itself and lead to adaptive, often self-isolating behaviors that can change the course of an outbreak, as we are now observing in real time during the COVID-19 pandemic. As a result, an understanding of how disease-related information is disseminated and how it impacts human behavior can meaningfully inform pathogen transmission models and inform optimal intervention strategies.
Michelle Cirunay×Keywords: complex systems, city science, urban road networks, spatial networks, complex networks
Michelle Cirunay is currently a Doctor of Philosophy in Physics student in the De La Salle University - Manila. She obtained her B.S. Applied Physics and M.S. Physics degrees from the National Institute of Physics in the University of the Philippines Diliman. She is interested in the applications of physics to city science and the complexity of urban dynamics particularly on the road network formation. Her research focus is on city data sets in the developing world with self-organized growth. To understand cities, she uses a wide array of tools and techniques including GIS, image processing, network and statistical analyses. Michelle is a recipient of the Advanced Science and Technology Human Resources Development Program (ASTHRDP) Scholarship from the Department of Science and Technology (DOST) of the Philippines.
Milo Trujillo×Keywords: Intentional community design, self-organization, decentralization, resilience, collaborative moderation and decision making
Milo's research applies network science and complex systems to understanding intentional community design. His past theoretical research includes simulating propaganda spread across different network topologies and agent behaviors, and using machine learning to produce social hierarchy "organically" to understand underlying communication pressures; his more recent applied research includes studying the creation of alternative media sites as a result of deplatforming, and coordinating volunteer groups through the Pursuance Project.
Mirela Causevic×Overall gaining a better understanding of complexity and its application to societal phenomena focusing on (potentially) informing policy.
Also very interested in contagion (diffusion) processes. And very interested in learning new things together with others, and looking forward to new perspectives.
Nicholas Judson Roberts×Keywords: Network disease models, multilayer networks, network inference, and uncertainty quantification
Nicholas is a PhD student at University of Vermont's Complex Systems Center. His research focuses primarily applies tools from network science, stochastic processes, and dynamical systems to questions in epidemiology. Particular questions in epidemiology that are of interest include the role of disease surveillance (e.g. contact tracing and testing) in controlling outbreaks and the effect of heterogeneity (e.g. in social structure or physiological response) in disease spread. Theoretical areas of interest include percolation models on time varying and clustered networks, multilayer temporal networks, and estimation and uncertainty quantification for network disease models.
Nicholas Landry×Keywords: Hypergraphs
Opinion modeling and formation
The effect of structure on dynamics
My current research interests broadly encompass dynamical systems on complex networks. As a 4th year PhD student at the University of Colorado Boulder under the supervision of Juan G. Restrepo, I’m currently examining how hypergraph structure (i.e., the structure of higher-order network interactions) determines opinion formation and epidemic dynamics. I am also interested in collective behavior, game theory, and the application of these ideas to agent-based models on networks.
I’m a New Englander at heart; I grew up in Seacoast NH and got my Bachelors in Mechanical Engineering at the University of New Hampshire. Post graduation, I worked as a Manufacturing Engineer for several years. Mathematics has always been my passion, however, so I returned to school to get a doctorate in applied mathematics at the University of Colorado Boulder. I live with my wife, Shari, in Boulder, CO and in my free time, you can find me perfecting my homemade ramen recipe, listening to neo-classical and ambient records, improvising on the piano and guitar, and hiking in the Rockies.
Nicole Eikmeier×Keywords: network models, higher-order, motifs, ranking, tensors
I have a PhD in mathematics from Purdue University where I studied spectral properties of networks. I am currently an assistant professor of computer science at Grinnell college. My recent work has been in modeling the spread of COVID-19, hierarchy in networks, and understanding tensors as a tool for network.
Nicolò Gozzi×Keywords: epidemics, networks, data science, mathematical modeling, machine learning, behavioural change, social media
I am Nicolò Gozzi, I am 25, and currently I am starting my second year of PhD the University of Greenwich, London. After my BSc in Physics, I continued my studies in the field of Physics of the Complex Systems, obtaining my MSc from the Univeristy of Turin in 2019. My current research focus is on modeling epidemics - and especially the behavioural changes associated to them - using mathematical and computational tools. More in general, I like everything that is related to data and that I can translate in python.
Patricia Diaz×LX Tech Operations Wizard @ Center of Excellence
Visionary leader and strategic thinker with 15+ years of experience nurturing teams to perform at their best, in record time, learning from the emergent future to transform the present
- Leadership + Research + Design + Technologies for Computational Experience (CX), User Experience (UX) & Learning Experience (LX)
- Product Vision, Strategy, Development & Management
- Cross-functional Remote Team Collaboration
- Mobile-first, Internationalization (i18n), Localization (L10n), Accessibility (A11y)
- AI-powered design tools
- Participatory design
Philip Chodrow×Keywords: machine learning, stochastic processes, generative models, nonlinear dynamics, community detection
I am a Hedrick Visiting Assistant Adjunct Professor in the Department of Mathematics at UCLA, mentored by Mason Porter. My interests include network science, applied probability, and machine learning. In my research, I build principled tools for studying the structure and dynamics of networked systems. Recent projects include models random graphs and hypergraphs; dynamics of adaptive networks; inference in generative network models; and techniques for clustering higher-order network data. I am also a Partner and Affiliated Data Scientist at QSIDE, the Institute for the Quantitative Study of Inclusion, Diversity, and Equity. At QSIDE, I support projects that build quantitative insight about disparity in the United States, and mentor undergraduates on modern tools and practices for data science.
Samin Aref×Keywords: Computational Social Science
Network Science and Complex Systems
Big Data and Data Science
I am a research scientist at the Max Planck Institute for Demographic Research (MPIDR) working on several projects primarily in Computational Social Science. I did my Ph.D. in Computer Science and I have a background in Operations Research and Network Science. My research falls into two broad topics: (1) modeling and analysis of social systems using complex networks and (2) studying the mobility and migration of researchers using bibliometric data. I have an Erdős number of 3.
Samuel F Rosenblatt×Keywords: Targeted Immunization, algorithms, agent-based models, scientific computing, contagion, social media, misinformation, random networks, science communication
Samuel F. Rosenblatt is a 3rd year Computer Science Ph.D. student at the University of Vermont (UVM) studying under advisor Dr. Laurent Hébert-Dufresne (Laboratory for Structure and Dynamics) within the Vermont Complex Systems Center. Before coming to UVM, Samuel received B.S. degrees in Mathematics, Sociology, and Computer Science from St. Mary’s College of Maryland and initiated his research career by studying co-injection networks during two consecutive NSF REUs with the Minority Health Disparities Initiative at the University of Nebraska-Lincoln.
As an NSF NRT fellow in the Quantitative and Evolutionary STEM Training (QuEST) program
at UVM, Samuel continues to explore research in global health from the perspective of network science – focusing on problems at the intersection of network interventions and network sampling with the goal of providing intervention strategies which leverage network properties while being logistically feasible in the face of the difficulties of network data collection. In addition to his research, Samuel is deeply committed to science outreach and science communication through his work with the Science Outreach and Communication in QuEST (SOCQs) interest group network and as the Outreach Officer for the Society of Young Network Scientists.
Scott Donaldson×Keywords: social science, inequality, visualization, agent-based modeling
Scott is a software developer and researcher working on the web-based agent-based modeling library Flocc. He is the founder of Open Set, a studio designing and building software to make complexity approachable and understandable through interactive simulations and visualization. A graduate of Carnegie Mellon's Computational Design master's program, Scott came to complexity via architecture and design. He lives in Washington, DC with his spouse and their 4-year-old Chihuahua mix, Gnocchi.
Sirag Erkol×Keywords: influence maximization, networks in sports, science of science
I am a Ph.D. student in Informatics in the Complex Systems track at Indiana University, Bloomington. Before my Ph.D., I received my B.S. and M.S. degrees in Industrial Engineering at Bogazici University in Turkey.
Suman Sukumar Dharmasthala×Keywords: Complex urban systems, urban and regional planning, climate change mitigation, ecology, energy transition, land-use, spatial, statistics, GIS, R
Researcher in the Urban/Regional field interested in complex systems study related to understanding functions of the city.
Tuan Minh Pham×Keywords: Opinion dynamics, social networks, critical transitions, spin glasses, systemic risk
I am a PhD candidate in complex networks at the Section for Science of Complex Systems of the Medical University of Vienna and the Complexity Science Hub Vienna since 2017. I was previously trained in theoretical physics at the Ecole Normale Supérieure Paris and Belgorod National Research University in Russia.
Upasana Dutta×Keywords: Complex Networks, Computational Social Science, Data Science
I am Upasana, from India. I am a research-based Master's student in Computer Science at the University of Colorado Boulder. My research interests lie in Complex Networks, Computational Social Science, and Data Science.
At CU, I am working with Daniel Larremore and Aaron Clauset. One of my current works involves building an algorithm that identifies 'ordered' communities in directed networks, where the order is based on the direction and density of edges in between the communities. The other project I am working on focuses on designing a Markov Chain Monte Carlo convergence diagnostic, such that the MCMC can sample graphs uniformly at random from the degree preserving Configuration model.
Zack van Allen×Keywords: Phase transitions, social networks, psychology/behavioural science, health behaviours, well-being, dynamical systems
My research is focused on promoting health and well-being through the application of behaviour change science at the individual, group, and organizational levels. Recently, I've become passionate about the potential of complexity science and network analysis to understand behavioural dynamics at the individual and group levels (e.g., how multiple behavioural tendencies interact over time, naturally and in response to interventions). At the organizational level I am interested in applying social network analysis to the field of implementation science to better understand and promote the uptake of evidence into practice within health care organizations.
I am the recipient of the 'Doctoral Award: Frederick Banting and Charles Best Canada Graduate Scholarship' from the Canadian Institute of Health Research for 2020-2023.
My work is supervised by Dr. Justin Presseau at the University of Ottawa and I'm extremely fortunate to work within The Psychology and Health Research Group at the Ottawa Hospital Research Institute.