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Spatial+ Data Visualization Group Spring Meeting 4/27/2018

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Spatial+ Data Visualization Group Spring Meeting 4/27/2018

Join us for the 2nd meeting of the Spatial+ Data Visualization Group. The mission of the Spatial+ Data Visualization Group is to provide GIS and Visualization professionals, educators, enthusiasts, and other users with opportunities to exchange information and ideas, share best practices, and stay up to date with the latest tools, approaches, and more. Lunch will be provided.  Gables One Tower, 1050BA+BB, 1320 S Dixie Hwy, Coral Gables, FL 33146 If you cannot make the meeting, you may meet the group at 4:00 PM at The Rathskeller, 1330 Miller Drive, Coral Gables, FL 33146 Friday 4/27/2018  | Gables One Tower 1050BA+BB Please RSVP AGENDA 1:00-1:30  Registration + Lunch GOT, 1050BA+BB, 1320 S Dixie Hwy, Coral Gables, FL 33146 1:30-2:30  Paired Introductions 2:30-4:00  Presentations 4:00-6:00  Social UM Rathskeller, 1330 Miller Drive, Coral Gables, FL 33146   Sponsored by CCS, the College of Arts & Sciences, Department of Geography & Regional Studies, and UM Libraries.          ...

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2nd Smart Cities MIAMI Conference Positioned UM in the Vanguard

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2nd Smart Cities MIAMI Conference Positioned UM in the Vanguard

    The 2nd annual Smart Cities Miami Conference, presented this year by Hotwire Communications, explored the convergence of technology, design, and development in the shaping of a new urban landscape transformed by design innovation and disruptive technology. The School of Architecture Dean RODOLPHE EL-KHOURY (partner Khoury Levit Fong) kicked off the event with a survey of ongoing activities in UM’s Smart Cities Program ranging from the mapping of informal settlements in Latin America with the help of digital technology to the design of a smart city in Mexico. "These projects position UM in the vanguard of the field and compel us to sustain with this annual conference, a public forum on smart cities," said Dean el-Khoury who moderated Panel 1 Design and Desires: Beyond the Practical City featuring: AMANDA SANFILIPPO, Curator for Art in Public Places, Miami Dade County Department of Cultural Affairs and Director and Chief Curator of Fringe Projects; IVAN TOTH DEPENA, an artist (Depeña Studio) with a background in architecture specializing in technology-powered installations for public spaces; NASRINE SERAJI, Founder and Principal of Atelier Seraji Architectes et Associés and Head of the Department of Architecture, The University of Hong Kong; and JORDAN GEIGER, Assistant Professor of Architecture at SUNY Buffalo, and Director, Jordan Geiger Large Interaction Design and Research. Panel 1 explored areas where city-making and technology align with motivations that exceed issues of optimization and efficiency. The panelists presented and discussed examples that expanded the scope of smart cities in enhancing urban environments and experience.   The afternoon session began with Panel 2  Mapping the Hyper-Connected City: Perils and Opportunities, which took a critical look at smart cities. It was moderated by LEIGH-ANN BUCHANAN, Founding Executive Director of Venture Café Miami, and featured: UM School of Architecture Dean Emeritus (1995-2013), Malcolm Matheson Distinguished Professor of Architecture, and Director of the Master of Urban Design Program ELIZABETH PLATER-ZYBERK, FAIA, LEED, AP (DPZ Partners); RICHARD GRANT, Professor and Urban Studies Director in the Department of Geography & Regional Studies (UM); ALLISON SCHIFANI, a founding member of SPEC, an urban research and design collaborative and Assistant Professor of Digital Humanities (UM Department of Modern Languages and Literatures); and DANIELLE UNGERMANN, Co-Captain at Code for Miami. The panel confronted and debated some challenging aspects of smart cities such as the erosion of privacy and surveillance, problems inherent to processes of quantification and rationalization, issues of power, control and exclusion.   The last panel and centerpiece of the conference Panel 3 Smart Cities: From Efficiency to Sustainability, discussed the potential of new technology in building more sustainable, fulfilling and equitable cities. Examples included developments in smart buildings and energy, participatory e-governance next-generation logistics and transportation. It was moderated by JAY MASSIRMAN, President of Rivergate Companies (Real Estate Holding), featuring: RODRIGO ARBOLEDa, CEO and Co-Founder of Fastrack Institute, a non-profit entity accelerating exponential technologies into societies; ANDREA CALECE, Cisco IOT & Smart City Business Development Americas Senior Manager; AUDREY LEVI, Executive VP, Business Development for Inacomp Technology Solutions Group, aligning IT, processes and people to business goals; JIM SLATTERY, Senior Vice President of Advanced Technologies for Smart Cities presenting sponsor  Hotwire Communications, LLC, an industry technology authority; and MATTHEW ZIRKELBACH, President RunBrook and Co-Founder SustainaBase, creator of proprietary sustainability metrics technology.   KEYNOTE SPEAKER  The conference’s first day concluded with keynote speaker, David Benjamin, Founding Principal of The Living and Assistant Professor...

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Lunch & Learn: How to Build a Data Analysis Pipeline 3/19/2018

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Monday, March 19, 2018  |  12:00-1:00 PM McArthur Engineering Annex, MEA 202 Speaker:  Athina Hadjixenofontos, PhD  |  CCS Director of Engagement In this session, we will examine the opportunities for decision making while building a data analysis pipeline and follow the consequences of those decisions for the interpretability of the results. In addition, we will dive into examples of various types of bias, as well as examples of assumptions made in data collection, in implementation and in statistical modeling. Throughout the session we will be discussing what to consider when choosing your quality control measures to maximize the trust that you can put in your data.  Please note that this is a high-level seminar, suitable for students and researchers who are just starting out with data analysis, switching fields, or interested in incorporating a data-mindset into projects that may not have traditionally relied on data. Speaker Bio: Dr. Hadjixenofontos joined the University of Miami Center for Computational Science in 2016. As the Center's Director of Engagement, she leads a number of programs that aim to support the development of computational skills and adoption of computational mindsets in various populations. She’s particularly excited by the science part of data science, as it relates to assumptions, bias and their relationship with asking questions that make sense. She holds a PhD in computational genetics from the University of Miami John P. Hussman Institute for Human Genomics. All experience levels are welcomed. Join us!  Bring a laptop to maximize participation.  Light Lunch will be provided. This Lunch & Learn is currently full . ....

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VizUM Visualization Competition Idea Checkpoint 3/9/2018

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VizUM Visualization Competition Idea Checkpoint 3/9/2018

Idea Checkpoint | Please RSVP Friday, March 9, 2018  |  3:00-6:00 PM Gables One Tower, Training Room 639 Checkpoint #1, the "Idea Checkpoint",  will give you the opportunity to get feedback on your project from the Organizing Committee. It's also an excellent opportunity to meet the other participants! We will have 10-minute consultation slots available for you to book.  The gathering will take place at the Center for Computational Science, at 1320 S Dixie Highway, in Training Room 639 (turn left off the elevators and it's on the right), and the consultations will take place in conference rooms inside the CCS Suite (600). This is the first of two checkpoints, designed to keep you on track, and, particularly if you are a beginner, to give you a little bit of guidance on the typical process of a data analysis. Attendance is voluntary, not required, but the checkpoint provides an opportunity to reflect on how your project is coming along by having to summarize all the details for someone else to consume. This perspective is a valuable tool and it can help you deliver your best.  You can come for any portion of the gathering that works for your schedule. By this point you should have a clear idea of what your project will be about, and of whether you will design a data-driven visual essay/story/infographic or an exploratory data visualization. You don’t yet need to have a detailed plan of what your final product will look like, but you do need to know what information you will use to make it. The purpose behind this checkpoint is to ensure that the dataset does in fact contain the information that you need in order to answer your question of interest. A common pitfall in data analysis is thinking that you are asking one question, when the information available to you lends itself to answering something (slightly or more than slightly) different. Are you able to refine your question after having taken a closer look at the data and the metadata? What are some possible sources of bias and is there any way that you can avoid them without spending time and resources collecting more data? Deliverable: A paragraph describing the question that drives your visualization, emailed to vizum@miami.edu, or, bring it with you. You may describe the issue that you care about, why it is important to you to raise awareness about this issue, some limitations of the data to answer your question and what you plan to do about these limitations (if anything can be done). Organizing Committee Members • Alberto Cairo PhD, Professor of Professional Practice / Knight Chair in Visual Journalism | UM School of Communication • Maria Galli Stampino PhD, Professor of French and Italian | College of Arts & Sciences • Mahsa Mirazargar PhD, Assistant Professor | Department of Computer Science | UM College of Arts & Sciences • Athina Hadjixenofontos PhD, Director of Engagement | UM Center for Computational Science   For questions regarding the contest, please don’t hesitate to email...

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Lunch & Learn: How to Build a Data Analysis Pipeline 3/19/2018

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Lunch & Learn: How to Build a Data Analysis Pipeline 3/19/2018

Monday, March 19, 2018  |  12:00-1:00 PM McArthur Engineering Annex, MEA 202 Speaker:  Athina Hadjixenofontos, PhD  |  CCS Director of Engagement In this session, we will examine the opportunities for decision making while building a data analysis pipeline and follow the consequences of those decisions for the interpretability of the results. In addition, we will dive into examples of various types of bias, as well as examples of assumptions made in data collection, in implementation and in statistical modeling. Throughout the session we will be discussing what to consider when choosing your quality control measures to maximize the trust that you can put in your data.  Please note that this is a high-level seminar, suitable for students and researchers who are just starting out with data analysis, switching fields, or interested in incorporating a data-mindset into projects that may not have traditionally relied on data. Speaker Bio: Dr. Hadjixenofontos joined the University of Miami Center for Computational Science in 2016. As the Center's Director of Engagement, she leads a number of programs that aim to support the development of computational skills and adoption of computational mindsets in various populations. She’s particularly excited by the science part of data science, as it relates to assumptions, bias and their relationship with asking questions that make sense. She holds a PhD in computational genetics from the University of Miami John P. Hussman Institute for Human Genomics. All experience levels are welcomed. Join us!  Bring a laptop to maximize participation.  Light Lunch will be provided. Register...

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Data Science Study Group: South Florida Thursday 2/8/2018

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Data Science Study Group: South Florida Thursday 2/8/2018

https://www.meetup.com/Data-Science-Study-Group-South-Florida/ Details In this session, we will examine the opportunities for decision making while building a data analysis pipeline and follow the consequences of those decisions for the interpretability of the results. In addition, we will dive into examples of various types of bias, as well as examples of assumptions made in data collection, in implementation and in statistical modeling. Throughout the session we will be discussing what to consider when choosing your quality control measures to maximize the trust that you can put in your data. In order to keep this session interactive, we will design a mini analysis pipeline using open data from Miami-Dade County. The title of this session is intended tongue-in-cheek since many of the key decisions that go into building a data analysis pipeline are context-dependent. Speaker Bio: Dr. Hadjixenofontos joined the University of Miami Center for Computational Science in 2016. As the Center's Director of Engagement, she leads a number of programs that aim to support the development of computational skills and adoption of computational mindsets in various populations. She’s particularly excited by the science part of data science, as it relates to assumptions, bias and their relationship with asking questions that make sense. She holds a PhD in computational genetics from the University of Miami John P. Hussman Institute for Human Genomics. Meetup Info: This Meetup is a friendly environment where all questions are appreciated and where members learn from each other. All experience levels are welcomed. Join us! Bring a laptop to maximize participation. Special thanks to StartHub Miami (http://www.starthubcenters.com/) for being the location sponsor! Vehicles entering the designated parking lot after 5 PM, pay only $3 for the rest of the evening. The lot is located immediately east of 66 West Flagler, where we'll...

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VizUM 2018

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VizUM 2018 | 11/15/18 VizUM 2018 has been scheduled for Thursday, November 15, 2018. The finalists' projects from the inaugural VizUM Visualization Competition will be presented. We are pleased to announced next year's speakers . . .   REGISTER NOW  |  Free     Speakers   Bongshin Lee | Microsoft I am a Senior Researcher in the Human-Computer Interaction and EPIC research groups at Microsoft Research. I explore innovative ways for people to create visualizations, interact with data, and share data-driven stories. I have been recently focusing on helping people explore the data about themselves and share meaningful insights with others by leveraging visualizations. I currently serve as a Papers Co-Chair for PacificVis 2018 and an Associate Editor for IEEE TVCG, and served as a General Co-Chair for IEEE PacificVis 2017 and Papers Co-Chair for IEEE InfoVis 2015 & 2016. I earned my MS and PhD in Computer Science from University of Maryland at College Park in 2002 and 2006, respectively. For more information, please visit my personal homepage.   Hadley Wickham | RStudio Hi! I'm Hadley Wickham, Chief Scientist at RStudio, and an Adjunct Professor of Statistics at the University of Auckland, Stanford University, and Rice University. I build tools (computational and cognitive) that make data science easier, faster, and more fun. I’m from New Zealand but I currently live in Houston, TX with my partner and two dogs. Most of my work is in the form of open source R code, which you can find on my github. You can roughly divide my work into three categories: tools for data science, tools for data import, and software engineering tools. hadley.nz     More information coming soon .  . ...

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BD2K-LINCS Data Science Symposium 1/31-2/2/18

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BD2K-LINCS Data Science Symposium 1/31-2/2/18

BD2K-LINCS Data Science Symposium | Jan 31 - Feb 2, 2018 | Miami, FL Studying Systems Biology by Cellular Perturbations The BD2K-LINCS Data Coordination and Integration Center (DCIC) and the University of Miami present the third annual BD2K-LINCS Data Science Symposium (DSS 2018) on January 31 - February 2, 2018. This annual symposium brings together experts in systems biology, data science, drug discovery and translational medicine from academia, industry and government to present their latest research and exchange new ideas and approaches in data driven biomedical research. The general theme of the symposium is the study of complex biological systems using large-scale cellular perturbation profiling and applications in drug development, translational biomedicine and environmental health. Talks will address a range of issues related to leveraging Big Data in translational research including integration, visualization, access, sharing, and reuse of data, software tools and the emerging NIH Big Data ecosystem. The program also provides a survey of data science research pertaining to the BD2K (Big Data to Knowledge) and LINCS (Library of Integrated Network-Based Cellular Signatures) consortia. The Symposium is organized by the BD2K-LINCS DCIC, the U54 center is jointly funded by NIH BD2K and LINCS programs (U54HL127624) and with support from the Center for Computational Science and the Sylvester Comprehensive Cancer Center. The objective of the DCIC is to apply state of the art data science principles and methods in stewarding, integrating and analyzing data generated by the LINCS project and related resources. Key Dates Poster Abstract Deadline: December 15, 2017 Hotel Reservation Cut-off: December 20, 2017 Registration Deadline: January 10, 2018 Data Science Hackathon: January 31, 2018 Data Science Symposium: February 1 - 2, 2018 Registration The event is free but pre-registration is required. Registration Main Page | Participant Registration | Submit Poster Abstract | Abstract and Poster Guidelines Hotels and Travel The BD2K-LINCS DCIC has reserved a room block at the Atton Brickell Miami for the Hackathon and Data Science Symposium 2018 registrants at discounted rates. Click here for details including information about other hotels in the area. Event Calendar Locations Data Science Hackathon (January 31) Atton Brickell Miami, Meeting Room: Optimism 500 SW 1 AVE, Miami, Fl, 33129 Data Science Symposium 2018 (February 1 - 2) University of Miami, Miller School of Medicine, Lois Pope Life Center Auditorium 1095 NW 14th Terrace, Miami, Fl, 33136 Contact Dusica Vidovic PhD | University of Miami Project Manager, Lead Scientist Center Coordinator Email: dvidovic {at} miami.edu Funding This symposium is funded by grant U54HL127624 awarded by the National Heart, Lung, and Blood Institute through funds provided by the trans-NIH LINCS Program and the trans-NIH BD2K initiative, and by resources from the University of Miami.  ...

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VizUM Visualization Competition Deadline Extended to 2/4/2018

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VizUM Visualization Competition Deadline Extended to 2/4/2018

Your City, Your Neighborhood, and You Visualization for Civic Engagement  |   Registration Form For questions regarding the contest, please don’t hesitate to email vizum@miami.edu.   Objective and Overview The goal of this competition is to challenge designers, journalists, data scientists, statisticians, and professionals and scholars in any other field to design either: • A data visualization essay, story, or infographic based on publicly available data about Miami, or • An exploratory data visualization. These are a few examples of “infographics” and stories told through graphs, charts, and maps, either static or interactive: Population change in Brazil | Driving times to abortion clinics | Failure Factories And these are examples of exploratory data visualizations, intended to let the public analyze complex data at will, through menus, filters, etc.: DimStiller | MizBee | LineUp Data is transforming many areas of our lives. Industries that have not historically relied on data are now increasingly interested in capitalizing on it. No matter which path you plan to pursue, data manipulation, analysis, visualization, and communication skills will give you a competitive advantage. For these reasons, we felt it was important to provide an opportunity to our community to participate in the data revolution, though the vehicle of our annual VizUM Symposium. We see the VizUM Visualization competition as an opportunity for you to learn new skills, create beautiful pieces that you can add to your portfolio, and increase public understanding about relevant issues. The first annual VizUM competition calls all city dwellers to dive deep into data shared by Miami-Dade County and produce visual products—either visual stories or exploratory visualizations—that speak to their fellow citizens, calling their attention to topics that matter, and call them to action. We have specifically and deliberately designed this competition so that you don’t have to be a visualization wizard to enter, and you have a reasonable chance of becoming a finalist!   What’s in it for you? •  You may want to use this competition as an opportunity to teach yourself how to use a new tool or learn a programming language. •  You may want to use this competition because you know that you are the best, and you have your eye on one of the prizes. •  You may want to use this competition to call your fellow citizens to action on an issue that is important to you, because you want to make a difference. No matter what your motivation is, welcome!   Data You must use datasets from at least one of the following three sources: •  Miami-Dade County’s Open Data Portal •  Miami-Dade County’s GIS Data Library •  City of Miami Building Permits Data •  City of Miami Open Data Portal (beta / includes budget and permit data) We will refer to this as your « city or county » dataset. You may combine the city or county datasets that you choose with any other open data that you can find, such as Census Bureau data, Google Trends/search data, Twitter or other social network data, data from the State of Florida, the U.S. Federal Goverment Open Data Portal, data from the Centers for Disease Control and Prevention, the Food and Agricultural Organization of the United Nations, the United Nations Data Retrieval System, or data from the World Council on City Data Open Data Portal. We will refer to this as...

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Social Systems Informatics presents Brian Uzzi 2/14/2018

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Social Systems Informatics presents Brian Uzzi 2/14/2018

The CCS Members who are interested in Social Systems Informatics (led by Program Director Daniel Messinger) have launched a Speaker Series. As the first guest, the group is pleased to present a trio of events around Brian Uzzi:  The main event, a TALK on 2/14 entitled "Knowledge and Social Networks that Predict Breakthroughs and Professional Success in Science and Technology" will be preceded by a JOURNAL CLUB session on 2/12, and a ROUND TABLE with Prof. Uzzi earlier in the day on 2/14. (Please Note: Prof. Uzzi will not be present for the 2/12 journal club session.) Brian Uzzi is a globally recognized scientist, teacher, consultant, and speaker on leadership, social networks, and new media.  Prof. Uzzi is the Richard L. Thomas Professor of Leadership and Organizational Change at the Kellogg School of Management (Professor, Management and Organizations), and Professor of Sociology and Professor of Engineering at the McCormick School of Engineering at Northwestern University.   Time Date Event Qty. Location 1 Mon 2/12 3:00-4:30 PM Brian Uzzi Journal Club  (Please Note: Prof. Uzzi will not be present for this event.) Join us to discuss a selection of Brian Uzzi’s papers on how individual behavior and team composition are connected with measures of success. Come to kickstart the conversation, examine ideas, or formulate questions, in preparation for the "Should I Collaborate With You?” Roundtable with Dr. Uzzi on February 14th. All are welcome (whether or not you are available for the main event afternoon TALK session).   The Science paper and his 2016 PlosOne papers should be read before attending the session. Uzzi B, et al., Atypical combinations and scientific impact. Science (New York, N.Y.). 342: 468-72. http://science.sciencemag.org/content/342/6157/468 Liu B, Govindan R, Uzzi B. Do Emotions Expressed Online Correlate with Actual Changes in Decision-Making?: The Case of Stock Day Traders. Plos One. 11: e0144945. PMID 26765539 DOI: 10.1371/journal.pone.0144945 10-15 Conference Room 330G Ungar Bldg. 2 Wed 2/14 10:00 AM-12:00 PM “Should I Collaborate With You?” Team Science Round Table Discussion with Prof. Brian Uzzi A unique opportunity to speak with Dr. Uzzi in a small group setting on teamwork, collaborations and individual behavior, informed by the empirical literature on team science and decision making. 25 Abess Center 330G Conf. Room 3 Wed 2/14 3:00-5:00 PM Brian Uzzi TALK: "Knowledge and Social Networks that Predict Breakthroughs and Professional Success in Science and Technology"   Abstract "I present a series of large scale computational studies investigating the knowledge and social networks that predict breakthroughs and professional success in science and technology.  Results are based on analyses of 28 million papers, all 5.7 million U.S. patents, and the largest genealogical database on 10s of thousands of mentor-protégé relationships in chemistry, math, medicine, and physics  from 1960 to today.  The scope of the data, which covers all fields of science and technology for the entire last half century of time worldwide, suggest the properties of knowledge and social networks identified in the study are universal empirical regularities. " 30-40 Abess Center 230C-D Ungar Bldg....

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