Exploring Computer Science Innovations and Challenges at Wisconsin

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Discover the groundbreaking work of Remzi H. Arpaci-Dusseau and Grace Wahba in computer science, data science, and beyond. Learn about their research collaborations, recent innovations, and the growth of the computer science department at Wisconsin. Explore the impact of software and data-driven discovery on academia and society as a whole.

  • Computer Science
  • Data Science
  • Innovation
  • Research
  • University

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  1. Computer Science, Data Science, And Beyond Remzi H. Arpaci-Dusseau Grace Wahba Professor and (almost) Chair Department of Computer Sciences

  2. A Little About Me Background Professor at Wisconsin in CS for ~20 years Research: All joint with Andrea Arpaci-Dusseau (wife and collaborator) Systems: operating systems, storage systems, distributed systems Recent innovations: WiscKey (high-performance key/value storage - underlies technology at companies like Pure Storage/Dgraph), ffsck (fastest file-system checker, deployed in BSD operating system) Education: Operating Systems: Three Easy Pieces It s a free OS book - you can download each chapter at no cost (ostep.org) 100,000+ active users per year Used at hundreds of schools Korean, Japanese, Chinese, French? translations

  3. CS Is Growing 1600 @ end of 2018 Undergraduate Students Year

  4. Chancellors Task Force Specific charge Increase the profile, rankings, and research output of our computer science faculty; Increase opportunities for students across campus to study computer science; Produce more students among our graduates who have been exposed to and trained on computational thinking, big data, artificial intelligence and related fields Members included leaders from the state, industry, academia After many months: Report Wisconsin in the Information Age https://www.cs.wisc.edu/wisconsin-in-the-information-age/

  5. Software Is Eating The World Software, and expertise in such, is key to upheaval Famous article by Marc Andreesen Examples across industry are many Bookselling Direct advertising Communication Vehicular transport Movies and TV etc., etc., etc. Five of largest ten companies are software companies

  6. Software + Data Are Eating The University Data-driven discoveryas the Fourth Paradigm of science [Gray] First, empirical; then mathematical/theoretical; then, computational; now, data-driven Examples from campus Journalism: Tweets and impact on elections Geography: Cattle transactions and impact on forests Limnology: Algae and impact on our lakes It s not that machines will replace chemists; it that s chemists who use machines will replace chemists who don t. [NYT 1/19]

  7. Importance to State CS and Data Science are key drivers in innovation UW-Madison has created ~25k jobs and billions of $$ to state economy Epic(founder Judy Faulkner is 79 CS alum) as leading example; >10k employees, multi-billions/year in revenue EatStreet (co-founders Martell, Wyler, Howard all UW grads) has millions of customers who order food through their platform PropellerHealth (co-founder Tracy is 02 CS) builds sensing and software for inhalers Many other CS-based startups: Adobo, Hardin Design and Development, HealthMyne, Ionic, Nordic Consulting, PerBlue, VidMaker, SimpleMachines, DataChat Big companies have presence here ZenDesk, Google Madison growing rapidly Amazon, Microsoft, etc. have presence too

  8. UW: Well-Poised To Act Historical strength in core areas Computer Science, Statistics, Information school, Biostatistics and Medical Informatics, Electrical and Computer Engineering Breadth of excellence in many connected areas One of the most widely successful campuses in the world, with top departments in many many areas Great alumni base Thousands of successful Badgers

  9. Wisconsin Computing Idea Stems from The Wisconsin Idea University research should be applied to solve problems and improve health, quality of life, the environment, and agriculture for all citizens of the state Van Hise (president of UW-Madison in 1904) stated he would never be content until the beneficent influence of the university reaches every family in the state Our direction: The Wisconsin Computing Idea (WCI) Advances in computing on this campus should benefit all corners of our great state (and beyond)

  10. Three Pillars of WCI Core Must grow a large core of computing & data excellence Goals are to attract and retain best people; dive deeper into research and education; coordinate computing efforts throughout state Connections Build connections to departments and colleges on campus, and to businesses, organizations, and schools across state Joint degree programs, workforce training, consulting and support Enrichment Broadening what computing and data are about, including social justice, ethics, privacy, inclusion and diversity, human-centered design, social policy

  11. What Were Doing School of Computer, Data, and Information Sciences Consists (initially) of three departments: Computer Sciences, Statistics, and iSchool Director in charge of direction, fundraising, connections to industry and campus Steering committee to drive collaboration among group and with other groups on campus One-time historical structural change to campus

  12. Lots Of Work To Do New stuff we are doing together Hiring faculty: Focus on machine learning, security & privacy, interface between humans and technology Continue supporting Computer Science; now largest major on campus! Developing new major: Data Science Offered jointly by Statistics, CS, iSchool, Math; starting soon! More work to serve others on campus and beyond (CHTC as role model, and new DSI) Many other educational, research, outreach activities

  13. Connections to CHTC How to better use CHTC as a pillar of education? What aspects of CHTC should every undergraduate in data science be exposed to? Every scientist? Every graduate student? Should new educational programs be focused around high-throughput computing? (e.g., masters in computational/data science) How to foster the new bilingual (CS+X) student/researcher? How to better use CHTC amplify CS + DS research? Growing need for deep learning cycles (read: GPUs) How to better connect computing for industry and computing for science?

  14. The End

  15. Extra

  16. What Task Force Did Months of face-to-face and phone meetings among group Interviews and meetings with: National leaders in computer and data science Campus researchers, educators, administrators Wisconsin business community and government Undergraduate and graduate students

  17. Task Force Observations Computing has become central to all aspects of society Data is increasingly central to society Computing is at the center of state s economic growth Computing is critical to the future of the university It is critical that we act now

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