Research and Education in Data Science: A Rochester Perspective

Transcription

1 Henry Kautz Robin & Tim Wentworth Director Goergen Institute for Data Science Research and Education in Data Science: A Rochester Perspective

2 What is Data Science? Data Science: Methods, Applications, and Infrastructure for Extracting Meaning from Large Scale Data Data Knowledge Action

3 Data Science is Transforming

4 Data Science is Transforming Business

5 Data Science is Transforming Science Adam Frank (Astronomy)

6 Data Science is Transforming Government

7 Data Science is Transforming Society

8 Growing Demand for Data Scientists ForbesBrandVoice Connecting marketers to the Forbes audience. What is this? TRANSFORMATIONAL TECH 11:00AM 10,750 views The Hottest Jobs In IT: Training Tomorrow's Data Scientists EMC Contributor, EMC Comment Now Follow Comments By Bob Violino If you thought good plumbers and electricians were hard to find, try getting hold of a data scientist. The rapid growth of big data and analytics for use within businesses has created a huge demand for people capable of extracting knowledge from data. The McKinsey Global Institute, the business and economics research arm of McKinsey & Co., has predicted that by 2018 the United States could face a shortage of between 140,000 to 190,000 people with deep analytical skills, as well as a shortage of 1.5 million managers and analysts who know how to use the analysis of big data to make effective decisions.

9 What s New About Data Science?

10 New Kinds of Data Unstructured James Allen (Computer Science)

11 New Kinds of Data Unstructured From the Wild Ray Dorsey (Center for Human Experimental Therapeutics)

12 New Kinds of Data Unstructured From the Wild High Dimensional Rajeev Raizada (Brain & Cognitive Science)

13 New Kinds of Interdisciplinary Collaborations Graph of movement of patients between hospital units, Martin Zand (URMC) Protein interaction graph for Arabidopsis, Gourab Ghoshal (Physics)

14 New Ways of Understanding Data Traditional Approach Data Custom Program Knowledge

15 New Ways of Understanding Data Machine Learning Examples Input /Output Data Machine Learning System Knowledge

16 Case Study: nemesis, or Which Restaurants Should You Avoid Today? Henry Kautz (Computer Science) Adam Sadilek (UR CS à Google) Vincent Silenzio (URMC)

17 Foodborne Illness Affects 48 million people annually in US 128,000 hospitalizations 3,000 deaths

18 Fighting Foodborne Illness Challenges Food venues inspected yearly: can predict and prepare for inspection Unlicensed venues How can we target inspections more effectively? Can we find problematic unlicensed venues?

19 People on Smartphones: An Organic Sensor Network

20 Analyzing Tweets Goal: find tweets about food-borne disease symptoms Previous approach: keywords Problems: sick of homework, under the weather Our approach: machine learning Use Mechanical Turk workers to create training data 98% accuracy Training Data Contains Machine sneeze? Learning sick? System tired? Sick Tweets

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22 Las Vegas Trial 3 month trial by Southern Nevada Health District (Las Vegas), Jan-Mar 2015 Adaptive inspections proved more effective in double-blind trial CDC now funding 3-year expansion

23 Transforming Higher Education Data Science touches on practically every aspect of research and education Realizing its potential requires Cooperation across department boundaries Up-front investment by the university Strategic planning followed by quick action 2013: UR commits $50 million to a 5-year plan

24 Goergen Institute for Data Science University-wide umbrella for data science Promote collaborative research Home to education programs Catalyst for federal, state, and industry support Partner with university s scientific computing center CIRC Institute for Data Science Arts & Science Engineering Medicine Business Music Center for Innovative Research Computing (CIRC)

25 Wegman s Hall: A Place for Sparking Opening Jan ,000 sq ft Shared spaces: auditorium, meeting rooms, visitor offices Computer science department faculty and labs Collaborations

26 Undergraduate Education BA / BS in Data Science 1/3 Computer Science 1/3 Statistics Computer Science 1/3 Application Area Began September 2015 Statistics Data Science Sciences, Engineering, Humanities, Medicine, Business

27 Masters in Data Science Target audience: STEM workers and students One-year program Summer boot camp data structures and graph algorithms 2 courses in Statistics (using R) Data Mining and Databases 4 electives from concentrations: Business, Health, CS 28 students enrolled for domestic 12 female

28 How to Have Research Career in Data Science

29 Researchers Create new recommendation algorithm What might these be at Amazon? Developers Implement recommended for you Practitioners Analyze sales to determine how to best stock warehouses

30 Should You Go Into Research? Can you set your own goals? Does a blank sheet of paper frighten you or inspire you? Is an occasional success worth a lot of day to day failures? Are you not easily discouraged, but also not a crank? Are you okay being surrounded by people who are all much smarter than you? Note: all the other people will feel the same way Do you think the most important thing you can do is to expand the body of human knowledge?

31 You Need a PhD to Learn How to learn on your own what you need when you need it How to create a research question How to learn from failure: distinguishing Bad technique Bad method Bad question How to effectively communicate new knowledge

32 What Kind of PhD? Computer Science Huge demand by industry, and good academic job market Statistics Good but less overall demand Physical, Life, & Social Sciences Mixed industry job market, few academic jobs Business PhD not needed for industry

33 Can I Afford to Do a PhD? Any PhD program that admits should give you full support Stipend of about $25,000 a year You can live amazingly well by living like a grad student Should I get an MS first? You ll have to pay about $25,000 for tuition Not necessary if you have a good undergraduate background

34 What is a Good Undergraduate Background? Mathematics: Calculus Linear algebra Statistics Computer Science: As much as possible! Undergraduate research experience

35 Where to Get Undergraduate Research Experience? Your own school Other colleges and universities National Science Foundation Research Experiences for Undergraduates (REU) US National Laboratories Summer jobs in tech companies Google, AT&T, IBM, Microsoft, Special opportunities for women and minorities

36 How Selective are PhD Programs in Computer Science? Top 10 departments (see US News L) Highly competitive, need near perfect grades, GRE, undergrad research Top 20 departments Highly competitive for international students, less so for US citizens Nearly all academic jobs won by PhDs from top 20 schools Top 75 departments Desperate for US students Graduates still go to top industrial research labs

37 Final Advice Take a GRE prep course Grad school application essay is NOTHING like your undergrad essay Instead: CLEAR goals and CLEAR accomplishments Be aware of what is going on in the research world Research pages of universities and research labs Follow famous scientists on Facebook Yann LeCun, head of Facebook Eric Horwitz, head of Microsoft Oren Etzioni, head of AI2

38 References Adam Sadilek, Sean Brennan, Henry Kautz, and Vincent Silenzion (2013). nemesis: Which Restaurants Should You Avoid Today? First AAAI Conference on Human Computation and Crowdsourcing (HCOMP-2013), Palm Springs, CA,