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Events
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Nov20
EVENT DETAILSmore info
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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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Jan22
EVENT DETAILS
lessLivestream:
https://northwestern.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=23cd8f49-46bc-4fdb-8449-acaf0013ed75Title:
People Analytics: Using Digital Exhaust from the Web to Leverage Network Insights in the Workplace
Abstract:
In order to bring the performance of people analytics up — and in line with the hype — organizations need to do more than analyze data on demographic attributes. We need to focus not only on who people are but also who they know. The potential for social network analysis to identify “high potentials,” who has good ideas, who is influential, what teams will get work done efficiently and effectively is well established based on decades of research. The challenge has been the collection of network data via surveys that are time consuming, elicit low response rates and have a high obsolescence. This talk presents empirical examples ranging from corporate enterprises to simulated long duration space exploration to demonstrate how we can leverage people analytics – and in particular relational analytics - to mine “digital exhaust”— data created by individuals every day in their digital transactions, such as e‐mails, chats, “likes,” “follows,” @mentions, and file collaboration— to address challenges they face with issues such as team conflict, team assembly, diversity and inclusion, succession planning, and post-merger.Biography:
Noshir Contractor is the Jane S. & William J. White Professor of Behavioral Sciences in the McCormick School of Engineering, the School of Communication and the Kellogg School of Management at Northwestern University. He investigates how social and knowledge networks form and perform. He is the President-Elect-Select of the International Communication Association. He is also a Distinguished Scholar of the National Communication Association and a Fellow of the American Association for the Advancement of Science and the Association for Computing Machinery. He received the Lifetime Service Award from the Organizational Communication & Information Systems Division of the Academy of Management. He received the Distinguished Alumnus Award from the Indian Institute of Technology, Madras where he received a Bachelor’s degree in Electrical Engineering. He has a Ph.D. from the Annenberg School of Communication at the University of Southern California.TIME Friday, January 22, 2021 at 12:00 PM - 1:00 PM
LOCATION Zoom, Mudd Hall ( formerly Seeley G. Mudd Library) map it
CONTACT Pam Villalovoz pmv@northwestern.edu EMAIL
CALENDAR Department of Computer Science
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Jan26
EVENT DETAILS
lessA Calculation of the Social Returns to Innovation
What are the social returns to investments in innovation? The disparate spillovers associated with innovation, including imitation, business stealing, and intertemporal spillovers, have made calculations of the social returns difficult. Northwestern Kellogg School of Management’s Benjamin F. Jones will provide an economy-wide calculation that nets out the many spillover margins. He will assess the role of capital investment, diffusion delays, learning-by-doing, productivity mismeasurement, health outcomes, and international spillovers in assessing the average social returns. Overall, estimates suggest that the social returns are very large. Even under conservative assumptions, innovation efforts produce social benefits that are many multiples of the investment costs.
TIME Tuesday, January 26, 2021 at 12:00 PM - 1:00 PM
CONTACT Northwestern Engineering Events northwestern-engineering-events@northwestern.edu EMAIL
CALENDAR McCormick School of Engineering and Applied Science
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Jan27
EVENT DETAILS
lessLivestream:
https://northwestern.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=a65af02c-1aba-4f47-a1d7-aca901517ca2Title:
Interactive Machine Teaching: Concepts and Lessons
Abstract:
Machine Learning (ML) can infuse systems with behaviors that rival or surpass human capabilities. This promise of creating systems that can empower people and organizations is met with the friction that creating ML models remains a complex task beyond the reach of non-ML experts. In this talk, I will describe Interactive Machine Teaching and its potential to simplify the creation of ML models. One of the key characteristics of IMT is its iterative process in which the human-in-the-loop takes the role of a teacher teaching a machine how to perform a task, and that the teacher does not need expertise about the underlying ML learning algorithm. After this introduction, I will summarize our insights and lessons from our research in this field, and what promising research directions lie ahead.Biography:
Gonzalo Ramos is a Principal Researcher at Microsoft Research at Redmond, working on lowering the barrier of entry for people to teach to machines to perform useful tasks. He received his Ph.D. from the University of Toronto's Computer Science Department, specializing in HCI, with a focus on direct interactions. He worked as a Senior Design Technologist and UX Scientist at Amazon, and as a Scientist at Microsoft. His website can be found at https://www.microsoft.com/en-us/research/people/goramos/TIME Wednesday, January 27, 2021 at 12:00 PM - 1:00 PM
LOCATION Zoom, Mudd Hall ( formerly Seeley G. Mudd Library) map it
CONTACT Pam Villalovoz pmv@northwestern.edu EMAIL
CALENDAR Department of Computer Science
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Feb12
EVENT DETAILS
lessHealthcare innovation has taken off despite — and because of — the challenges brought on by the COVID-19 pandemic. Join us as US business editor for The Economist and Visiting Farley Fellow Vijay Vaitheeswaran moderates a panel discussing the latest advances in the field and how the very process of innovation is being reinvented right now. We’ll cover topics in digital health, including telemedicine, "quantified self" devices, consumer empowerment through smart apps, and back-office automation using robotic process automation and AI. We’ll also explore how the pandemic has led to an evolution in process such as open innovation in pharmaceuticals, an industry which has traditionally been secretive about research and development.
Moderator
Vijay Vaitheeswaran
US business editor for The Economist; Visiting Farley Fellow
PanelistsVivian Lee
Author of The Long Fix: Solving America’s Health Care Crisis; President of Health Platforms at Verily Life Sciences (Alphabet); and senior lecturer at HarvardMilton Morris
Kellogg MBA '04, President & CEO at NeuSpera MedicalJohn Rogers
Louis Simpson and Kimberly Querrey Professor of Materials Science and Engineering, Biomedical Engineering and Neurological Surgery (and by courtesy Electrical and Computer Engineering, Mechanical Engineering, and Chemistry)TIME Friday, February 12, 2021 at 2:00 PM - 3:00 PM
CONTACT Farley Center for Entrepreneurship and Innovation farley@northwestern.edu EMAIL
CALENDAR Farley Center for Entrepreneurship and Innovation
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Mar13
EVENT DETAILS
lessWinter Classes End
TIME Saturday, March 13, 2021
CONTACT Office of the Registrar nu-registrar@northwestern.edu EMAIL
CALENDAR University Academic Calendar
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Mar15
EVENT DETAILS
lessWinter Examinations Begin
TIME Monday, March 15, 2021
CONTACT Office of the Registrar nu-registrar@northwestern.edu EMAIL
CALENDAR University Academic Calendar