Events
Past Event
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:
A bird’s-eye view into the origin of systemic risk: Financial Institutions, Sovereign Debt, and Public Health and Policy
Abstract:
As economic entities become increasingly interconnected, shocks in financial and economic networks can provoke significant cascading failures throughout the system. To study systemic risk, we model financial institutions' relationships, economic dependencies, and production flows to propose a cascading failure model describing the risk propagation process during crises. We find that our model efficiently identifies a significant portion of the failed banks reported by the Federal Deposit Insurance Corporation during the Global Financial Crisis of 2008. We also study the European sovereign debt crisis of 2009-2012 and observe that the results closely match real-world events (e.g., the high risk of Greek sovereign bonds and Greek banks' distress). We propose an institutional, systemic importance ranking, BankRank, for the financial institutions analyzed in the European bank study to assess individual banks' contribution to the overall systemic risk. Finally, we propose a dynamic cascade model to investigate the systemic risk posed by sector level industries within the U.S. inter-industry network. We then use this model to study the effect of the disruption presented by COVID-19 during 2020 on the U.S. economy. We impose an initial shock that disrupts one or more industries' production capacity and calculates the propagation of production shortage with a modified Cobb-Douglas production function. In the case of COVID-19, the initial shock reflects the loss of labor between March and April 2020, as reported by the Bureau of Labor Statistics. These studies suggest that the cascading failure models could be useful for systemic risk stress testing for financial and economic systems. The models could become complementary to existing stress tests and scenario analysis, incorporating the contribution of the interconnectivity of the banks, governments, and industries to systemic risk in time-dependent networks.
Speaker Bio:
Irena Vodenska is an 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 a theoretical and applied interdisciplinary research using quantitative approaches for modeling interdependencies of financial networks, banking system dynamics, and global financial crises. More specifically, Vodenska’s research focuses on modeling of early warning indicators and systemic risk propagation throughout interconnected financial and economic networks. She also studies the effects of news announcement on financial markets, corporations, financial institutions, and related global economic systems. She uses neural networks and deep learning methodologies for natural language processing to text mine important factors affecting corporate performance and global economic trends. Prof. Vodenska teaches Investment Analysis and Portfolio Management, International Finance and Trade, Financial Regulation and Ethics, and Derivatives Securities and Markets at Boston University. Vodenska holds a Ph.D. in Econophysics (Statistical Finance) from Boston University, MBA from Owen Graduate School of Management at Vanderbilt University and BS in Computer Information Systems from the University of Belgrade. She is also a Chartered Financial Analyst (CFA) charter holder. As a principal investigator (PI) for Boston University, she has won interdisciplinary research grants awarded by the European Commission (EU), Network Science Division of the US Army Research Office, and the National Science Foundation (US).
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 SEMINAR: Sourav Medya, University of Illinois at Chicago (UIC) "AI for Patents: Progress, Pitfalls, and Potential"
Northwestern Institute on Complex Systems (NICO)
12:00 PM
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Lower Level, Chambers Hall
Details

Speaker:
Sourav Medya, Assistant Professor, Department of Computer Science, University of Illinois at Chicago (UIC)
Title:
AI for Patents: Progress, Pitfalls, and Potential
Abstract:
As the volume and complexity of patent data continue to grow, artificial intelligence offers powerful tools to transform how we analyze, manage, and generate intellectual property. This talk explores how AI—through the lenses of graph learning, multimodal modeling, and large language models—can be harnessed to enhance various aspects of the patent process. First, we will discuss how graph learning can uncover hidden structures among patents and provide insights into patent valuation. Next, we will explore the role of multimodal learning in understanding design patents by combining visual and textual features for improved patent-related tasks—such as patent classification and retrieval. Finally, we examine the emerging potential of large language models (LLMs) in assisting with patent drafting and refinement, making patent drafting more accessible. Together, these approaches highlight a new frontier in AI-assisted patent systems—where multimodal patent data can be jointly leveraged to support innovation, efficiency, and decision-making in the patent ecosystem. We will conclude the talk with some interesting research directions.
Speaker Bio:
Sourav Medya is an Assistant Professor in the Department of Computer Science at the University of Illinois at Chicago (UIC). His research focuses on the problems at the intersection of graphs, machine learning, and data science with a focus on bias, fairness, and interpretability. He also builds machine learning based techniques that have high impact in the areas such as healthcare, infrastructure, and computational social science.
Before joining UIC, Sourav was a research assistant professor in the Kellogg School of Management at Northwestern University and the Northwestern Institute on Complex Systems (NICO). He received his Ph.D in Computer Science from University of California, Santa Barbara, and he received a Master of Engineering degree in Computer Science and Automation Department from Indian Institute of Science (IISc), Bangalore, India.
Location:
In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/91291365825
Passcode: NICO25
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, data science and network 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, April 9, 2025 at 12:00 PM - 1:00 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)