DandyHacks Spring '1815fd2934ac19042a71a836ad0f21eeafHackathon Douglass Ballroom (2nd Floor) sponsored by ROCHackDouglass Ballroom (2nd Floor)false15187572000002018-02-16T00:00:0015189300000002018-02-18T00:00:00Other2018/02/0217_dandyhacks-spring-18.htmltrueOnceROC Data Science Meetup1964cfb7ac19042a6895ffae27a98cc1The University of Rochester’s Goergen Institute of Data Science (GIDS) is hosting ROC Data Science Meetup to kick off the new year. Meet faculty, students, and staff from GIDS as well as area professionals involved in data science for refreshments from 5:30-6:15pm for a reception on the 2nd Floor of the new Wegmans Hall. We will then move to the auditorium to hear from Brendan Mort, Director of the Center for Integrated Research Computing (CIRC) and Assistant Professor of Chemistry, who will talk about CIRC as well as recent trends in tools and methods for modeling, analyzing, and visualizing computer-driven research. University guests to park in the Intercampus Drive Lot. Upon arrival, look for signage from parking to Wegmans Hall.Wegmans Hall, River Campusfalse15175242000002018-02-01T17:30:0015175314000002018-02-01T19:30:00Career EventsTalks2018/02/0201_ROC Data Science Meetup.htmlfalseOnceSpring Career Expo1972419dac19042a6895ffae5e146a34The Gwen M. Greene Center invites you to our 2018 Spring Career Expo! Explore entry-level and internship opportunities with companies that are looking to recruit University of Rochester undergraduate and graduate students. Employers will be on-site from industries including advertising, banking, engineering, finance, healthcare, marketing, and many more! Feldman Ballroom, Frederick Douglass Buildingfalse15187536000002018-02-15T23:00:0015187212000002018-02-15T14:00:00Career Events2018/02/0215_Spring Career Expo.htmlfalseOnceCareers in Data Science: Mike Koelemay and Kevin McCormick, Sikorsky3fecbaeaac19042a6895ffaed3664c61Mike Koelemay and Kevin McCormick lead the Applied Analytics Team within Sikorsky’s Analytics, Prognostics & Health Management and Artificial Intelligence organization, based in Rochester. Their team is responsible for bringing state-of-the-art analytics and algorithm technologies to support the ingestion, processing, and serving of data collected onboard thousands of aerospace assets around the world. Drawing on their 20+ combined years of experience in applied data analytics for integrated system health management technologies, their team works with other software engineers, data architects, and data scientists to support the execution of advanced algorithms, data mining, signal processing, system optimization, and advanced diagnostics and prognostics technologies, with a focus on rapidly generating information from large, complex datasets.Wegmans Hall 1400 (auditorium), River Campusfalse15187932000002018-02-16T10:00:0015187968000002018-02-16T11:00:00Career Events2018/02/0216_Careers in Data Science Sikorsky.htmlfalseOnceCIRC Symposium Series3fefcc6eac19042a6895ffaeb17687d4Every third Friday of the month, the Center for Integrated Research Computing hosts a research symposium (known as the CIRC Symposium), where faculty, staff, and student researchers convene to learn about research projects utilizing the center's resources, meet potential collaborators, and learn about new technologies and trends in research computing. This event is user-driven and features presentations by researchers using CIRC systems. CIRC Symposia are open to all members of the university community and a complimentary lunch is provided. This month’s featured speaker is Zhengwu Zhang from the Department of Biostatistics and Computational Biology. He will discuss a state-of-the-art structural connectome processing pipeline and a novel dimensionality reduction technique for showing relationships between connectome structure and various human traits.  Our on-going research talk will be provided by Andrew Owens from the Department of Economics. He will demonstrate results from asking the question whether or not consumers pay higher prices at the grocery store after moving to a new location.  Lunch will be provided.Wegmans Hall 1400 (auditorium), River Campusfalse15187986000002018-02-16T11:30:0015188040000002018-02-16T13:00:00Talks2018/02/0216_circ-symposium-series .htmlfalseOnceData Science Open House667185e3ac19042a6895ffae29df23c6On Friday, February 9th from 12-1pm, Data Science will be holding an Open House for undergraduate students to introduce them to our curriculum, to hear about what makes our program special, and to meet with students and faculty from our department. This is the time of year when many students will be declaring their major and giving some thoughts about their future path. This is your opportunity to: • Talk with current declared majors and faculty and find out what opportunities data science holds. • Ask your peers about doing other majors/minors, studying abroad, independent study/research while in the data science program • Talk to students who have done cool internships or attended an inspiring conference • Find out why someone choose a BA vs BS degree or how they choose their concentration • Make an appointment to speak with the data science advisor As always, FREE LUNCH! Wegmans Hall 1400 (auditorium), River Campusfalse15181956000002018-02-09T12:00:0015181992000002018-02-09T13:00:00Meetings2018/02/0209_data-science-open-house.htmlfalseOnceComputer Science Colloquium Series:Everyday Personal Informatics667565b1ac19042a6895ffae8a5503b4Daniel Epstein, University of Washington Monday, February 12, 2018, 12:00 PM 1400 Wegmans Hall Everyday Personal Informatics Personal tracking technology has made it easier for people to better understand themselves and their routines around exercise, eating, finances, and more. This self-knowledge can serve as a first step toward changing behaviors, increasing awareness, or simply satisfying a curiosity. Though some people succeed in achieving their goals, most encounter a fundamental barrier: the design principles used in tracking technology assume people are highly motivated, unwavering in their diligence, and have the expertise necessary to analyze their data. In this talk, I will demonstrate how the design of tracking technology can be improved to help people overcome two challenges: (1) helping people find value in their tracking, and (2) helping people find support through their tracking. I will present generalizable opportunities for designs to overcome these challenges through a conceptual model and framework, and will describe four novel systems which evaluate design strategies that are uncovered by these opportunities. The novel systems demonstrate how designs can better surface interesting and actionable insights from data, support people after they have lapsed in tracking, help people create interesting shareable content from their tracked data, and scaffold an interested audience with which to share. I will conclude by discussing opportunities I am excited to explore in the future, including supporting the decision to track and the tool selection process, enabling opportunistic storytelling through tracked data, and developing more inclusive tracking technologies. Bio: Daniel Epstein is a Ph.D. Candidate in Computer Science & Engineering at the University of Washington, where he is coadvised by James Fogarty and Sean Munson. Daniel's research examines how people use personal tracking technology today, using this understanding to inform the development of novel systems and generalizable models and frameworks. In addition to publications and awards at top-tier venues for Human-Computer Interaction, his work has been featured in the popular press such as Cosmopolitan, the Atlantic, and the Wall Street Journal, and has been presented to product and development teams at Fitbit, Microsoft, and Adobe. Wegmans Hall 1400 (auditorium), River Campusfalse15184548000002018-02-12T12:00:0015184584000002018-02-12T13:00:00Talks2018/02/0212_computer-science-colloquium-serieseveryday-personal-informatics.htmlfalseOnce