Events
Past Event
WED@NICO WEBINAR: Lightning Talks with Northwestern Fellows and Scholars!
Northwestern Institute on Complex Systems (NICO)
12:00 PM
Details
NICO is hosting a lightning talk seminar each term as a part of our Wednesdays@NICO seminar series. Northwestern graduate students and postdoctoral fellows are invited to participate. To sign up for future lightning talks, please visit: https://bit.ly/2lRqSXK
Webinar:
Zoom link: https://northwestern.zoom.us/j/98719696231
Passcode: nico
Speakers:
Ifeoma Ozodiegwu - Postdoctoral Fellow, Feinberg School of Medicine
Chilochibi Chiziba - Research Assistant, Feinberg School of Medicine
Manuela Runge - Postdoctoral Fellow, Feinberg School of Medicine
David Sabin-Miller - Ph.D. candidate, McCormick School of Engineering
Yanxuan Shao - Ph.D. student, Weinberg College of Arts and Sciences
○ Ifeoma Ozodiegwu - Postdoctoral Fellow, Feinberg School of Medicine, Northwestern University
○ Chilochibi Chiziba - Research Assistant, Feinberg School of Medicine, Northwestern University
Title: Urban-rural differentials in the determinants of malaria transmission in Nigeria
Abstract: Nigeria accounted for roughly a quarter of global malaria cases and deaths in 2018. However, malaria transmission is heterogeneous at lower spatial scales, and understanding the drivers of transmission can inform decisions on where interventions should be prioritized. We aimed to identify factors associated with high levels of malaria transmission within urban and rural areas. We merged and analyzed cluster-level data collected in Nigeria in 2010, 2015, and 2018 by the Demographic Health Survey (DHS) program. Our analysis highlight similarities and differences in the determinants of transmission in urban and rural areas. Our findings provides supporting evidence for the positive impact of increased access to ACTs and suggest the need for greater intervention distribution in highly populated rural areas.
Bios: Ifeoma Ozodiegwu is a Postdoctoral Fellow with Dr. Jaline Gerardin Lab’s in the Department of Preventive Medicine. She received her Doctor of Public Health (DrPH) in Epidemiology from East Tennessee University (ETSU) in May 2019, where she was a Rotary International Global Grant recipient. At the Dr. Gerardin Lab, she leads dynamical modeling for understanding the impact of malaria intervention mixes in Nigeria, and supports analytical projects that evaluate spatial variation in malaria transmission within endemic countries.
Chilochibi Chiziba is a Research Assistant with Dr. Jaline Gerardin Lab in the Department of Preventive Medicine. He is currently in his final year pursuing a Master of Public Health at the University of Zambia and holds a Bachelor of Arts Economics with Demography from the same institution. His experience includes Data Analytics, Research, Monitoring, and Evaluation while working for Atlas Corps, Jhpiego, and Akros Research on studies and projects focused on Renewable Energy, HIV/AIDS, and Health Systems. He is currently working with Dr. Ozodiegwu to explore variations in malaria transmission intensity, and interventions between urban and rural areas in Nigeria.
○ Manuela Runge - Postdoctoral Fellow, Feinberg School of Medicine, Northwestern University
Title: Modelling COVID-19 transmission and health burden in Illinois
Abstract: COVID-19 continues to spread across many states in the US and reached 664,620 cases and 11,552 deaths in Illinois. Until a vaccine is available, social distancing, lockdowns, contact tracing, and mask wearing and testing are the only measures to contain the epidemic and to prevent exceeding hospital capacities and limit the public health burden. Epidemiological models are widely used for simulating the likely effect of available measures and forecasts to inform decision-makers and hospital capacity planning.
A stochastic compartmental transmission model was calibrated for the eleven COVID-19 regions in Illinois, to simulate number of cases and hospital bed demand. The model was calibrated using hospital census and deaths report data between March and November 2020. The model was used to simulate the effects of reducing delay in testing, increased testing, contact tracing, lockdown, and social distancing alone or in combination. Outcome measures included the number of cases, deaths, or probability of exceeding hospital bed capacities. During course of the epidemic, the modelling outputs provided valuable predictions to support the local health department and provided insights into local transmission and disease dynamics.
Bio: Manuela Runge is a postdoctoral researcher at Northwestern University. Her research focuses on simulating malaria interventions to inform malaria control strategies at the country level and the development and application of a COVID-19 transmission model to support the local health department.
○ David Sabin-Miller - Ph.D. candidate in the Department of Engineering Sciences & Applied Mathematics, McCormick School of Engineering, Northwestern University
Title: When pull turns to shove: modeling how tribalism and environmental bias form ideological distributions in large populations
Abstract: Accurate modeling of political opinion dynamics can help us understand polarization, and the conditions which cause it. We put forward a framework for modeling the ideological drift of individuals influenced by a heterogeneous but systematically biased environment. We show that a local-attraction/distal-repulsion dynamic, distorted by tribalist "in-group-out-group" bias, can explain both the current US ideological distribution and behavior under perturbation as seen in a recent experiment. This talk will be a short summary of work published this October in Physical Review Research.
Bio: David is a fourth-year Ph.D. candidate working with Prof. Daniel Abrams in ESAM. His current research interests are in modeling and stochastic numerical methods.
○ Yanxuan Shao - Ph.D. student in the Department of Physics and Astronomy, Weinberg College of Arts and Sciences, Northwestern University
Title: Spontaneous oscillations in microfluidic networks
Abstract: Microfluidic systems are broadly applicable to chemical analysis, flow cytometry, point-of-care diagnosis, chemical synthesis, etc. However, the precise manipulation of fluid motion usually requires external hardware, such as micropumps and microvalves. In our research, we have examined a simple microfluid network design that exhibits nonlinear flow dynamics without the need of external control components. In particular, the system exhibits the spontaneous emergence of flow-rate oscillations for fixed inlet and outlet pressures, which we demonstrate using both simulations of the Navier-Stokes equations and an analytical model that captures essential aspects of the dynamics. Our results may help improve the portability and performance of microfluidic chips.
Bio: Yanxuan is a PhD student in the Department of Physics and Astronomy at Northwestern University. She works in Prof. Adilson Motter's group.
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems and data science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between.
Time
Wednesday, December 2, 2020 at 12:00 PM - 1:00 PM
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
WED@NICO WEBINAR: Maksim Kitsak, Delft University of Technology
Northwestern Institute on Complex Systems (NICO)
12:00 PM
Details
Speaker:
Maksim Kitsak, Assistant Professor, Electrical Engineering, Mathematics and Computer Science, Delft University of Technology
Title:
Geometric Representations of Complementarity-Driven Networks
Abstract:
Similarity is one of the key principles underlying the formation of social networks: the more similar individuals are the higher is the chance
for a social interaction between them. Latent geometry provides an elegant way to model similarity in social networks. Network nodes are viewed as points in underlying latent or hidden space, such that distances between them quantify node similarities: the smaller the distance between the two nodes the more similar they are. It is the similarity interpretation of latent distances that lies at the origin of many applications of network embeddings, including link prediction, soft community detection and clustering, network navigation, and search.
In my talk, however, I will focus on another class of networks that are shaped not only by similarity but also by the complementarity principle. Examples of complementarity-driven networks include interdisciplinary collaboration networks, networks of interacting proteins, and, possibly, food webs.
Indeed, individuals with complementary expertise are more likely to solve an interdisciplinary problem of interest, and interactions often take place between proteins with complementary chemical properties and/or complementary binding interfaces. One of the most popular food web network models, the niche model, is based not on the similarity but on the complementarity principle, as I will demonstrate.
In my talk I will argue that existing network embedding methods are not readily applicable to complementarity-driven networks. I will then deduce a proper framework for the representations of complementarity-driven networks and demonstrate its efficiency in network reconstruction tasks.
Speaker Bio:
Maksim Kitsak is an assistant professor in the faculty of Electrical Engineering, Mathematics and Computer Science at the Delft University of Technology. Dr. Kitsak earned his Ph.D. in theoretical physics from Boston University. Dr. Kitsak has held postdoctoral positions at the Center for Applied Internet Data Analysis (CAIDA), UC San Diego; and the Center for Complex Network Research (CCNR), Northeastern University. His research focuses on the development of theoretical and computational approaches to networked systems, with diverse applications ranging from systems biology to civil infrastructure. Results of his research have been published in top cross-disciplinary journals, such as Nature, Nature Physics, Science, and Science Advances, and have received broad media coverage.
Webinar:
Webinar link: https://northwestern.zoom.us/j/91064172482
Passcode: nico
ID: 910 6417 2482
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems and data science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.
Time
Wednesday, January 20, 2021 at 12:00 PM - 1:00 PM
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
Data Science Nights - January 2021 Meeting
Northwestern Institute on Complex Systems (NICO)
5:15 PM
Details
NOVEMBER MEETING: Wednesday, January 27, 2021 at 5:30pm (Central) via Zoom and Gather
DATA SCIENCE NIGHTS are monthly hack nights on popular data science topics, organized by Northwestern University graduate students and scholars. Aspiring, beginning, and advanced data scientists are welcome!
AGENDA:
TBA
SPEAKER: Bryan Pardo, Associate Professor, McCormick School of Engineering, Northwestern University
TOPIC: New directions in deep audio source separation: training without ground truth and automatic model selection
For more info: data-science-nights.org
Supporting Groups:
This event is supported by the Northwestern Institute for Complex Systems and the Northwestern Data Science Initiative.
Time
Monday, January 25, 2021 at 5:15 PM - 7:30 PM
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
WED@NICO WEBINAR: Irena Vodenska, Boston University
Northwestern Institute on Complex Systems (NICO)
12:00 PM
Details
Speaker:
Irena Vodenska, Associate Professor in Finance, Director, Finance Programs, Metropolitan College, Boston University
Title:
TBA
Abstract:
TBA
Speaker Bio:
Irena Vodenska is associate professor of finance and director of finance programs at Boston University’s Metropolitan College. Her research focuses on network theory and complexity science in macroeconomics. She conducts theoretical and applied interdisciplinary research using quantitative approaches for modeling interdependences of financial networks, banking system dynamics, and global financial crises. She holds a PhD in econophysics (statistical finance) from Boston University, an MBA from Owen Graduate School of Management at Vanderbilt University, and a BS in computer information systems from the University of Belgrade.
Webinar:
Webinar link: https://northwestern.zoom.us/j/94202105939
Passcode: nico
ID: 942 0210 5939
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems and data science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.
Time
Wednesday, January 27, 2021 at 12:00 PM - 1:00 PM
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
WED@NICO WEBINAR: Tina Eliassi-Rad, Northeastern University
Northwestern Institute on Complex Systems (NICO)
12:00 PM
Details
Speaker:
Tina Eliassi-Rad, Professor, Khoury College of Computer Sciences, Northeastern University
Title:
TBA
Abstract:
TBA
Speaker Bio:
Tina Eliassi-Rad is a Professor of Computer Science at Northeastern University in Boston, MA. She is also a core faculty member at Northeastern's Network Science Institute. Prior to joining Northeastern, Tina was an Associate Professor of Computer Science at Rutgers University; and before that she was a Member of Technical Staff and Principal Investigator at Lawrence Livermore National Laboratory. Tina earned her Ph.D. in Computer Sciences (with a minor in Mathematical Statistics) at the University of Wisconsin-Madison. Her research is at the intersection data mining, machine learning, and network science. She has over 100 peer-reviewed publications (including a few best paper and best paper runner-up awardees); and has given over 200 invited talks and 14 tutorials. Tina's work has been applied to personalized search on the World-Wide Web, statistical indices of large-scale scientific simulation data, fraud detection, mobile ad targeting, cyber situational awareness, and ethics in machine learning. Her algorithms have been incorporated into systems used by the government and industry (e.g., IBM System G Graph Analytics) as well as open-source software (e.g., Stanford Network Analysis Project).
Webinar:
Webinar link: https://northwestern.zoom.us/j/95878198317
Passcode: nico
ID: 958 7819 8317
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems and data science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.
Time
Wednesday, February 3, 2021 at 12:00 PM - 1:00 PM
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
WED@NICO WEBINAR: Noah Askin, INSEAD
Northwestern Institute on Complex Systems (NICO)
12:00 PM
Details
Speaker:
Noah Askin, Assistant Professor of Organisational Behaviour, INSEAD
Title:
TBA
Abstract:
TBA
Speaker Bio:
Noah Askin is an Assistant Professor of Organisational Behaviour at INSEAD in Fontainebleau. His research interests include social and cultural networks, the drivers and consequences of creativity and innovation (particularly in the music industry), the production and consumption of culture, and the dynamics of organisational and individual status. His work, which has garnered recognition on the Thinkers 50 Radar list, has appeared in Administrative Science Quarterly, American Sociological Review, computational social science publications, and been covered in the press by Rolling Stone, Forbes, Business Insider, Quartz.com, The Times of London, M Magazine, the New York Post, and music industry blogs.
Webinar:
Webinar link: https://northwestern.zoom.us/j/96945660289
Passcode: nico
ID: 969 4566 0289
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems and data science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.
Time
Wednesday, February 10, 2021 at 12:00 PM - 1:00 PM
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
WED@NICO WEBINAR: Susanna Manrubia, Spanish National Centre for Biotechnology (CSIC)
Northwestern Institute on Complex Systems (NICO)
12:00 PM
Details
Speaker:
Susanna Manrubia, Associate Professor, Spanish National Centre for Biotechnology (CSIC)
Title:
TBA
Abstract:
TBA
Speaker Bio:
Susanna Manrubia is an Associate Professor at the Spanish National Centre for Biotechnology (CSIC), in Madrid. She belongs to the Systems Biology Program, where she leads the Group of Evolutionary Systems. Her group maintains close collaborations with experimentalists and focuses on developing theoretical and computational descriptions of biological, mainly evolutionary phenomena. Professor Manrubia is also interested in cultural patterns and collective social behaviour.
Webinar:
Webinar link: https://northwestern.zoom.us/j/96887739805
Passcode: nico
ID: 968 8773 9805
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems and data science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.
Time
Wednesday, February 17, 2021 at 12:00 PM - 1:00 PM
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
Data Science Nights - February 2021 Meeting
Northwestern Institute on Complex Systems (NICO)
5:15 PM
Details
NOVEMBER MEETING: Monday, February 23, 2021 at 5:30pm (Central) via Zoom and Gather
DATA SCIENCE NIGHTS are monthly hack nights on popular data science topics, organized by Northwestern University graduate students and scholars. Aspiring, beginning, and advanced data scientists are welcome!
AGENDA:
TBA
SPEAKER: Aviv Landau, Postdoctoral research scientist, Data Science Institute, Columbia University
TOPIC: TBA
For more info: data-science-nights.org
Supporting Groups:
This event is supported by the Northwestern Institute for Complex Systems and the Northwestern Data Science Initiative.
Time
Tuesday, February 23, 2021 at 5:15 PM - 7:30 PM
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
WED@NICO WEBINAR: Lorien Jasny, University of Exeter
Northwestern Institute on Complex Systems (NICO)
12:00 PM
Details
Speaker:
Lorien Jasny, Lecturer in Political and Environmental Network Analysis, University of Exeter
Title:
TBA
Abstract:
TBA
Speaker Bio:
Lorien Jasny is a computational social scientist focusing on questions of public involvement in environmental decision making. Her research agenda focuses on two related themes – how the structure and dynamics of inter-organizational networks affect policy change, and how the structure and dynamics of belief networks affect behavioral change. Substantively, I study how people try to bring about societal change in response to political and environmental concerns. Methodologically, the need to grapple with these often complex phenomena requires the use and development of techniques for handling large, dynamic, and relational data sets.
Webinar:
Webinar link: https://northwestern.zoom.us/j/93434519191
Passcode: nico
ID: 934 3451 9191
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems and data science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.
Time
Wednesday, February 24, 2021 at 12:00 PM - 1:00 PM
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
WED@NICO WEBINAR: Lightning Talks with Northwestern Fellows and Scholars!
Northwestern Institute on Complex Systems (NICO)
12:00 PM
Details
Description:
NICO is hosting a lightning talk seminar each term as a part of our Wednesdays@NICO seminar series. Northwestern graduate students and postdoctoral fellows are invited to participate. To sign up for future lightning talks, please visit: https://bit.ly/2lRqSXK
Webinar:
Webinar link: https://northwestern.zoom.us/j/96018513447
Passcode: nico
ID: 960 1851 3447
Speakers:
TBA
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems and data science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.
Time
Wednesday, March 3, 2021 at 12:00 PM - 1:00 PM
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
Data Science Nights - March 2021 Meeting
Northwestern Institute on Complex Systems (NICO)
5:15 PM
Details
NOVEMBER MEETING: Monday, March 22, 2021 at 5:30pm (Central) via Zoom and Gather
DATA SCIENCE NIGHTS are monthly hack nights on popular data science topics, organized by Northwestern University graduate students and scholars. Aspiring, beginning, and advanced data scientists are welcome!
AGENDA:
TBA
SPEAKER: Matt Satusky, Postdoctoral Fellow, Renaissance Computing Institute, University of North Carolina at Chapel Hill
TOPIC: TBA
For more info: data-science-nights.org
Supporting Groups:
This event is supported by the Northwestern Institute for Complex Systems and the Northwestern Data Science Initiative.
Time
Monday, March 22, 2021 at 5:15 PM - 7:30 PM
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)