UVA School of Data Science
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The document discusses opportunities for collaboration between the University of Virginia School of Data Science (SDS) and NASA. It provides an overview of SDS, including its mission to be a leader in responsible data science through interdisciplinary collaboration and societal benefit. Examples are given of current SDS research projects involving NASA data on climate change and forest ecosystems. The document proposes areas for potential SDS-NASA collaboration such as courses involving NASA content, funded research projects, student fellowships and faculty positions. It aims to leverage the strengths of both organizations in responsible data science.
![One Representation of Data Science
The 4+1 Model
The model is based
on the core insight
that all definitions of
data science
assume a pipeline
and that this
pipeline forms a
parallel process
[From Raf Alvarado]](https://image.slidesharecdn.com/sdsnasa-200714164735/85/UVA-School-of-Data-Science-7-320.jpg)
![One Representation of Data Science
The 4+1 Model
• Value – assuring
societal benefit
• Design -
Communication of the
value of data
• Systems – the means
to communicate and
convey benefit
• Analytics – models
and methods
• Practice – where
everything happens
[From Raf Alvarado]](https://image.slidesharecdn.com/sdsnasa-200714164735/85/UVA-School-of-Data-Science-8-320.jpg)
![The 4+1 Model Interplay
[From Raf Alvarado]
• Value + Design = Openness,
responsibility
• Value + Analytics = Human
centered AI, algorithmic bias
• Value + Systems =
sustainability, access,
environmental impact
• Design + Analytics = literate
programming, visualization
• Design + Systems =
dashboards, engineering
design
• Analytics + Systems = ML
engineering](https://image.slidesharecdn.com/sdsnasa-200714164735/85/UVA-School-of-Data-Science-9-320.jpg)
UVA School of Data Science
- 1. University of Virginia School of Data Science Dean Philip E. Bourne peb6a@virginia.edu
- 2. SDS and NASA • The state of play in academic data science • UVA response • School formation • Mission • Our data science framework • Examples of research • School capabilities • Opportunities for NASA/SDS Collaboration
- 3. Increased Demand over the Past Five Years 74% Artificial Intelligence specialists Top industries hiring this talent: Computer software, internet, information technology and services, higher education, consumer electronics 37% Data Scientist Top industries hiring this talent: Information technology and services, computer software, internet, financial services, higher education 33% Data Engineer Top industries hiring this talent: Information technology and services, internet, computer software, financial services, hospital and healthcare
- 4. The Rising Demand for Data Scientists *for graduates seeking employment 100% 100% 100% 98% 97% UVA School of Data Science Graduate Job Placement 2019 2018 2017 2016 2015 * Roles Machine Learning Engineer, Director of Data Science, Deep Learning Research Scientist, Senior Data Analyst, Data Science Developer, Consultant, Product Data Analyst, Financial Engineer, Engagement Manager & more Industries ● Finance ● Government ● Healthcare & Medicine ● Professional Sports ● Commerce ● Media ● Higher Ed ● Technology
- 5. We Are Not Alone But We Are Unique
- 6. A New School for a New Century A School Without Walls Mission To be a national and international leader in responsible data science emphasizing interdisciplinary collaboration which results in furthering discovery, sharing knowledge, and societal benefit
- 7. One Representation of Data Science The 4+1 Model The model is based on the core insight that all definitions of data science assume a pipeline and that this pipeline forms a parallel process [From Raf Alvarado]
- 8. One Representation of Data Science The 4+1 Model • Value – assuring societal benefit • Design - Communication of the value of data • Systems – the means to communicate and convey benefit • Analytics – models and methods • Practice – where everything happens [From Raf Alvarado]
- 9. The 4+1 Model Interplay [From Raf Alvarado] • Value + Design = Openness, responsibility • Value + Analytics = Human centered AI, algorithmic bias • Value + Systems = sustainability, access, environmental impact • Design + Analytics = literate programming, visualization • Design + Systems = dashboards, engineering design • Analytics + Systems = ML engineering
- 10. A New School for a New Century Where we are Today Foundation ● Residential & Online Masters in Data Science ● Presidential Fellows ● Undergrad minor Spring 2021 ● PhD programs submitted in the fall ● Hiring & recruiting leading faculty ● Research & community projects underway ● New building plan – occupy 2023
- 11. Use case – Data Integration Researcher and Assistant Professor of Medicine Dr. Thomas Hartka, also a current online Masters in Data Science student, is combining two disparate data sets—electronic health records and DMV crash data—to save lives after motor vehicle crashes. “I enrolled in the MSDS program to expand my research on automotive safety. I have already used techniques from classes in my work. I hope to expand my research to real-time analytics to improve emergency room care.” — Dr. Thomas Hartka, UVA School of Medicine
- 12. Use Cases Machine Learning powered insights Don Brown • Monitor data from host computers logs, authentication attempts and network traffic from multiple enterprises, and subject this data to optimized ML techniques capable of detecting anomalies that signal an intrusion • Develop deep neural network learning methods that do not require enterprises to send their data to a global repository • Preserve Privacy Project 2 - DODProject 1 - DARPA • Exploit massive amounts of contextual data and use other aspects of the dynamic environment • Leverage signal processing, data fusion, visualization, human factors and cyber- security • Fusion processes developed in the Predictive Technology Laboratory took data from multiple sources and combined them using hierarchical models.
- 13. Use Case Presidential Fellowship with NASA Environmental Data Jake Malcomb and Linnea Saby • Analyze a massive geospatial data set collected over a two-year period from the International Space Station, and then parsed by an “extreme machine learning” tool that aims to mimic the human brain. • Tree core samples provide temporal information about long-term tree growth and physiology • ML taps geospatial data to understand forest ecosystems • NASA ECOSTRES and GEDI provide the extraordinarily large geospatial dataset
- 14. Furthering Discovery to Build a Better World RESEARCH Cybersecurity Detecting broad-spectrum cyber threats almost immediately after they are launched through a $7.6 million Defense Advanced Research Projects Agency (DARPA) grant. Environment Using NASA data collected aboard the International Space Station to examine climate change in the Shenandoah National Forest and beyond, and find solutions Health & Medicine Securing high-performance computing equipment and personnel to allow collaboration across the university on brain science research like Autism, Alzheimer’s, mental health disorders, traumatic brain injuries and more. Business Discovering what makes a job interview successful for the candidate and the recruiter, and how to mitigate bias in the recruiting process Democracy Investigating how terrorist groups recruit women through propaganda and examining risk and threat assessment for extremist violence perpetrated by women. Education Helping economically disadvantaged, underrepresented populations pursue tailored educational workforce pathways that have a higher probability of leading them to success.
- 15. Applying Data Science Across Industries “To tackle challenges in science and medicine.” — Elizabeth Driskell, MSDS ‘20 “To inform public policy and government.” — Bradley Katcher, MSDS ‘20 “I want to use data science to find a new way of thinking.” — Alex Gromadzki, MSDS ‘21 “I want to use data science to solve complex business problems.” — Ruslan Askerov, MSDS ‘21 “To address poverty and income inequality.” — Arti Patel, MSDS ‘20
- 16. SDS Faculty Research Data Science Faculty member or affiliated faculty Website Research Interests Nada Basit https://engineering.virginia.edu/facul ty/nada-basit Machine Learning, Bioinformatics, Data Mining, Pattern Recognition Phil Bourne https://engineering.virginia.edu/facul ty/philip-e-bourne Multiscale Modeling Using Data Science Techniques Early Stage Drug Discovery and Drug Repurposing Early Stage Drug Methods and Tools for Macromolecular Don Brown https://engineering.virginia.edu/facul ty/donald-e-brown-phd Data Fusion, Knowledge Discovery, and Simulation Optimization Sallie Keller https://biocomplexity.virginia.edu/sal lie-keller social and decision informatics, statistical underpinnings of data science, and data access and confidentiality. Daniel Mietchen https://tools.wmflabs.org/scholia/aut hor/Q20895785 Computational Biology, Biodiversity integrating research workflows with the World Wide Web through open licensing, open standards, and open collaboration via Rafael Avarado http://transducer.ontoligent.com/ Cultural Analytics and Machine Learning, Digital Humanities, Text Analysis Heman Shakeri https://www.hemanshakeri.com/ structure and function of interconnected networks, often expressed via graphs that comprise a set of nodes and a set of connections between them. Jonathan Kropko https://facultydirectory.virginia.edu/f aculty/jk8sd methods to examine historical data, to test theories of voting in U.S. presidential elections, and to handle nonresponse in surveys. Michael Porter https://engineering.virginia.edu/facul ty/michael-d-porter event prediction, pattern and anomaly detection, and data linkage - applications for Criminology, Transportation, Terrorism, Defense, Security, Forensics, Business Mohammad Fallahi-Sichani new hire designing and building new experimental and computational tools to enable the analysis, interpretation and rational modulation of multi-scale processes that Jack Van Horn https://scholar.google.com/citations? user=i9bGqbgAAAAJ&hl=en Psychology and Data Science, Cognitive Neuroscience Pete Alonzi https://github.com/alonzi Vicente Ordonez https://engineering.virginia.edu/facul ty/vicente-ordonez-roman Computer Vision, Natural Language Processing and Machine Learning Tim Clark https://scholar.google.com/citations? user=k-iwlCUAAAAJ&hl=en next generation approaches for biomedical communications and data integration, including semantically integrated data repositories, claims and Gerard Learmonth https://www.researchgate.net/profil e/Gerard_Learmonth Generation and testing of pseudorandom number generators; Abstract database design; Strategic applications of information systems and technology Hongning Wang http://www.cs.virginia.edu/~hw5x/ data mining, machine learning, and information retrieval, with a special emphasis on computational user behavior modelin Stephen Adams http://www.nsfcvdi.org/wordpress/c vdi_personnel/steven-adams-ph-d/ Adaptive Decision Systems Lab at UVA and his research is applied to several domains including activity recognition, prognostics and health management for manufacturing Aidong Zhang https://engineering.virginia.edu/facul ty/aidong-zhang ML, Data mining, bioinformatics Jundong Li http://people.virginia.edu/~jl6qk/ Data Mining, Machine Learning, Social Computing, and Deep Learning Brian Wright https://www.linkedin.com/in/brian- wright-ph-d-90063027/
- 17. 2020 Capstone Projects Org sponsor Capstone project Markel Corporation Machine Learning Based Approaches to Predict Customer Churn for an Insurance Company UVA Health System Analyzing the Composition of Diabetes Patients andImpact of Seasonal and Climate Trends on Emergency Room Utilization in Central Virginia Met Museum Exploring Themes and Bias in Art using MachineLearning Image Analysis Raytheon Machine Learning for Real-Time Vehicle Detection in All-Electronic Tolling System Capital One Evaluating and Improving Attrition Models for the Retail Banking Industry Babylon Farms A Digital Green Thumb: Neural Networks toMonitor Hydroponic Plant Growth S&P Global An Exploration and Characterization of Financial Performance of Standard and Poor’s 500 Index Constituents Led By Female CEOs UVA School of Medicine/McManusGeographic Access to HIV Care Corning Natural Language Processing for Company Financial Communication Style Westrock Enhancing Promotion Decisions using Classification and Network-based Methods Capital One - dual degree Retailer’s Dilemma: Personalized Product Marketing to Maximize Revenue LMI Document Retrieval Using Deep Learning X Mode Social Applying Mobile Location Data to Improve Hurricane Evacuation Plans Smart C-ville The Deployment of a LoRaWAN-Based IoT Air Quality Sensor Network for Public Good Fortive Modeling Client Churn for Small Business-to-Business Firms Politics Lessons Learned: A Case Study in Creating a Data Pipeline using Twitter’s API School of Architecture Analyzing Pre-Trained Neural Network Behavior with Layer Activation Optimization Biomedical Engineering Deep Learning of Protein Structural Classes: Any Evidence for an ‘Urfold’? Clarabridge A Comparative Study of the Performance of Unsupervised Text Segmentation Techniques on Dialogue Transcripts
- 18. Growing the School M.S. IN DATA SCIENCE Residential & Online 2020 2020-2023 UNDERGRADUATE COURSES increase to 18 courses per AY 2021 PH.D. PROGRAM 2023 UNDERGRADUATE MAJOR Building occupied Team Size (FTEs) 5 40 60 80 120 Exec. Ed.
- 19. Why Responsible Data Science? • A defining feature • A partnership between STEM, social sciences and the humanities • Where UVA has strength
- 20. SDS and NASA • Course or short course, including NASA content • Funded and collaborative research • Faculty, Capstone, Presidential Fellowship • Armed Forces Admits – MSDS, PhD • Cybersecurity Joint Hire – Faculty • Diversity partnership • Secure facility