News & EventsDepartment Events & Announcements
Events
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Nov20
EVENT DETAILSmore info
CS Distinguished Seminar - Victoria Stodden -Title: The Lifecycle of Data Science: A Framework for Advancing Computational and Data-enabled Research
Abstract
There is no crisis, but also no time for complacency” said the chair of the National Academies of Sciences, Engineering, and Medicine (NASEM) committee on "Reproducibility and Replicability in Science" in May 2019 (https://vimeo.com/335923468). Questions regarding reproducibility have arisen regarding the transparency of computational methods and discovery, in part due to the leveraging of data and compute resources for scientific and engineering advancements, now pervasive in a staggeringly broad range of academic disciplines and activities. In this talk I present the reproducibility definitions that emerged in our NASEM committee deliberations and discuss an abstract framework for conceptualizing and advancing data science as a discipline, called the Lifecycle of Data Science (forthcoming in CACM). This framework integrates the disparate components of data-enabled discovery, from hardware provisioning to applications to dissemination standards for verification and re-use to ethics, and thereby brings into contextual focus salient issues such as computational reproducibility, standards and policy, and curricular development. I then present the "Knowledge Integrator," an effort to conceptualize and enable the dissemination of reproducible research results based on the Lifecycle of Data Science and community engagement.
Bio
Victoria Stodden joined the School of Information Sciences as an associate professor in Fall 2014. She is a leading figure in the area of reproducibility in computational science, exploring how can we better ensure the reliability and usefulness of scientific results in the face of increasingly sophisticated computational approaches to research. Her work addresses a wide range of topics, including standards of openness for data and code sharing, legal and policy barriers to disseminating reproducible research, robustness in replicated findings, cyberinfrastructure to enable reproducibility, and scientific publishing practices. Stodden co-chairs the NSF Advisory Committee for CyberInfrastructure and is a member of the NSF Directorate for Computer and Information Science and Engineering (CISE) Advisory Committee. She also serves on the National Academies Committee on Responsible Science: Ensuring the Integrity of the Research Process.
Previously an assistant professor of statistics at Columbia University, Stodden taught courses in data science, reproducible research, and statistical theory and was affiliated with the Institute for Data Sciences and Engineering. She co-edited two books released in 2014—Privacy, Big Data, and the Public Good: Frameworks for Engagement published by Cambridge University Press and Implementing Reproducible Research published by Taylor & Francis. Stodden earned both her PhD in statistics and her law degree from Stanford University. She also holds a master’s degree in economics from the University of British Columbia and a bachelor’s degree in economics from the University of Ottawa.
TIME Wednesday, November 20, 2019 at 12:00 PM - 1:00 PM
LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library) map it
CONTACT Brianna White brianna.mello@northwestern.edu EMAIL
CALENDAR Department of Computer Science
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May29
EVENT DETAILS
TBA
TIME Thursday, May 29, 2025 at 9:00 AM - 11:00 AM
LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library) map it
CONTACT Wynante R Charles wynante.charles@northwestern.edu EMAIL
CALENDAR Department of Computer Science (CS)
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May29
EVENT DETAILS
Dear CS Community,
You're warmly invited to the Computer Science Award Celebration on Thursday, May 29, 2025, in Cohen Commons! Join us as we recognize the outstanding achievements and contributions of our CS community this year.Event Details:
📅 Date: Thursday, May 29, 2025
🕓 Time: 2:30-4PM
📍 Location: Cohen Commons (Technological Institute)Light refreshments and cookies will be served, and all members of the CS department are welcome!
Please RSVP by May 23rd so we can plan accordingly: https://app.smartsheet.com/b/form/2ba023053257473387bc29200e2587e7
TIME Thursday, May 29, 2025 at 2:30 PM - 4:00 PM
LOCATION Cohen Commons, Technological Institute map it
CONTACT Wynante R Charles wynante.charles@northwestern.edu EMAIL
CALENDAR Department of Computer Science (CS)
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Jun4
EVENT DETAILS
Wednesday / CS Seminar
June 4th / 12:00 PM
Hybrid / Mudd 3514Speaker: George K. Thiruvathukal
Talk Title: Reusing Deep Learning Models: Challenges and Directions in Software Engineering: An Update
Abstract: Deep neural networks (DNNs) achieve state-of-the-art performance in many areas, including computer vision, system configuration, and question-answering. However, DNNs are expensive to develop, both in intellectual effort (e.g., devising new architectures) and computational costs (e.g., training). Re-using DNNs is a promising direction to amortize costs within a company and across the computing industry. As with any new technology, however, there are many challenges in re-using DNNs. These challenges include both missing technical capabilities and missing engineering practices. We discusschallenges in current approaches to DNN re-use. We summarize studies of re-use failures across the spectrum of re-use techniques, including conceptual (e.g., re-using based on a research paper), adaptation (e.g., re-using by building on an existing implementation), and deployment (e.g., direct re-use on a new device). We outline possible advances that would improve each kind of re-use.
In this update of my invited presentation at IEEE Services 2023 at the John Vincent Atanasoff Sypmposium on Modern Computing, I will include information about our work in progress on the use of Deep Learning and Pre-Trained Models (PTMs) in science and engineering applications and our efforts to conduct automated longitudinal analysis of same.
Biography: https://gkt.sh/about/
TIME Wednesday, June 4, 2025 at 12:00 PM - 1:00 PM
CONTACT Wynante R Charles wynante.charles@northwestern.edu EMAIL
CALENDAR Department of Computer Science (CS)
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Jun5
EVENT DETAILS
Mobile and Ubiquitous Computing has been working on some awesome projects this quarter, ranging from sensing plants to UV glasses that help you understand your screen time. We would love to invite everyone in the CS department to our poster and demo presentations.
Where: Mudd 3rd floor Lobby (right in front of the elevator)
When: June 5th, 9:30-10:50 am
Here are the mid-term evaluation videos
Harmful Wavelength Detection Glasses
(really funny and fun to watch) Battery-Free Photosynthesis Sensors for Scalable, Real Time Plant Metabolism Sensing
Biodegradable repackaging of Chips
Brace yourself : Smart Knee Health Monitoring System
From Textile to Motion: Electrohydraulic Actuators with Knitted Electrodes for Everyday Applications
Adaptive Lighting Growth Environment for PlantsTIME Thursday, June 5, 2025 at 9:30 AM - 11:00 AM
CONTACT Wynante R Charles wynante.charles@northwestern.edu EMAIL
CALENDAR Department of Computer Science (CS)
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Jun15
EVENT DETAILSmore info
2024-2025 Commencement Ceremony
TIME Sunday, June 15, 2025
CONTACT Office of the Registrar nu-registrar@northwestern.edu EMAIL
CALENDAR University Academic Calendar
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Jun16
EVENT DETAILS
McCormick School of Engineering PhD Hooding and Master's Degree Recognition Ceremony. The most up to date information can be found on our graduation webpage.
TIME Monday, June 16, 2025 at 9:00 AM - 11:00 AM
LOCATION 2705 Ashland Ave
CONTACT Northwestern Engineering Events northwestern-engineering-events@northwestern.edu EMAIL
CALENDAR McCormick School of Engineering and Applied Science
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Jun16
EVENT DETAILSmore info
McCormick School of Engineering Undergraduate Convocation. The most up to date information can be found on our graduation webpage.
TIME Monday, June 16, 2025 at 2:00 PM - 4:00 PM
LOCATION 2705 Ashland Ave
CONTACT Northwestern Engineering Events northwestern-engineering-events@northwestern.edu EMAIL
CALENDAR McCormick School of Engineering and Applied Science