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November, 2013

Microsoft Research Connections Blog

The Microsoft Research Connections blog shares stories of collaborations with computer scientists at academic and scientific institutions to advance technical innovations in computing, as well as related events, scholarships, and fellowships.

November, 2013

  • Microsoft Research Connections Blog

    ChronoZoom challenge: visualize history and win

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    I love my job! Why? Because, as manager of Games for Learning and Digital Humanities at Microsoft Research Connections, I get to explore four of my favorite things: games, art, technology, and education.

    This week is especially exciting for me, because yesterday, we launched the Microsoft ChronoZoom Visualizing Challenge, which unites all four of these passions. Even better, it offers you the opportunity to participate—and maybe win a great prize (see disclaimer). Microsoft is sponsoring a challenge to create visualizations that (1) use ChronoZoom datasets and (2) provide new functions that have been requested by educators and students in our pilot programs. Read the Official Rules and register to enter the challenge.

    ChronoZoom: for the dynamic visualization of data

    So, how does this competition bring my four favorite things together? Allow me to explain:

    Games

    A challenge is defined as a game of skill. There is no chance involved. We will provide all contestants with the same dataset and the same basic information. You can use a wide variety of tools to create either a static or a dynamic visualization of the challenge data.

    Art

    The challenge is all about creating beautiful visualizations. In this regard, I would suggest that beautiful should be defined as “elegant, refined, and functional.” The visualizations should be simple enough for middle school students to use and understand, but powerful enough to enable these students to draw deep insights.

    Technology

    ChronoZoom’s robust, innovative technology is the result of three years of collaboration between Microsoft Research, the University of California at Berkeley, Moscow State University, the University of Washington, and researchers and historians around the world. ChronoZoom is a free, open source, community-owned project designed to run on any modern browser.

    Education

    ChronoZoom was originally intended as an tool for teaching Big History, which is to say the history of life, humanity, the Earth, the cosmos—everything that’s happened during the last 13.8 billion years. Recently, we’ve shifted the focus to general history education, adapting ChronoZoom to empower teachers at middle schools and high schools, giving them a powerful tool for explaining complex concepts of causality and ambiguity in historical thinking. We are following a standards-aligned curriculum we’ve developed in partnership with the National Council for Social Studies, the American Historical Association, the University of North Carolina, and a group of talented curriculum developers and subject matter experts.

    Challenge criteria

    You can enter by yourself or in a team of up to five people. If you work at a design firm and want to enter, please be sure you (or your company) meet our eligibility guidelines with respect to the public sector (see disclaimer).

    An independent third-party organization, visualizing.org, will assemble a panel of expert judges to evaluate the entries according to the following criteria:

    • Utility and flexibility: How easy is it to use and understand the visualization? Can it be adapted to other datasets?
    • Creativity and beauty: Does the visualization demonstrate a novel approach to the problem? Is the solution presented in an elegant, polished way?
    • Accessibility and openness: Is the entry open source? Does it work on all browsers?

    In addition, there will be two special prizes: a Student Prize and an Infographic Prize. The Student Prize will be awarded to the best entry made by a student or an all-student team. The Infographic Prize will go to the best non-interactive entry. This can just be a beautiful image that illuminates the data by using the creative tools of your choice.

    Prizes

    Entries will be eligible to win the following prizes:

    First Place: US$5,000 and a trip to Moscow (the one in Russia, not Idaho!) to meet with a ChronoZoom designer/coder/programmer

    Second Place: US$2,750

    Third Place: US$1,500

    Student Prize: US$300. If a student team wins, each student will receive $300, up to $1,500 maximum (for a team of five).

    Infographic Prize: US$1,000

    You can probably tell that I am thrilled to have the opportunity to invite you to take part in this challenge. It will be lots of fun and, best of all, the visualizations that are developed will be available for educators and student around the world to better understand history and concepts of historical thinking. If you are a developer, enter the challenge! If not, stick around and we will share all the entries with you once the challenge is over! The challenge runs from 11:01 A.M. Eastern Time (ET) on November 5, 2013, and ends at 11:59 P.M. ET on January 8, 2014. Register now!

    Donald Brinkman, Manager, Games for Learning and Digital Humanities, Microsoft Research Connections

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    _________________________

    Disclaimer: Open only to individuals 18 years of age or older who are currently enrolled as students at an accredited educational institution that grants college/university degrees (a “University”), or individuals 18 and older who are employed at an accredited educational institution that grants college/university degrees and who do not make procurement decisions in their employment, or individuals 18 and older who are employed at a private sector company and who do not engage in procurement or regulatory activities in their employment. Individuals may enter individually or in teams of up to five (5). Private sector companies that do not engage in procurement or regulatory activities with any public sector agency may also enter as well. Challenge ends at 11:59 P.M. ET on January 8, 2014. Read the Official Rules. (Back to blog)

  • Microsoft Research Connections Blog

    Windows Azure for Research Award winners

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    Microsoft Research is pleased to announce the successful applicants in our first round of Windows Azure for Research awards. You didn’t make it easy for us—we received many good quality proposals. Our selection committee evaluated each submission in terms of its potential to accelerate research and its suitability for deployment on the Windows Azure cloud platform. There were far more outstanding proposals than we could accommodate during this first round of awards.

    Windows Azure for Research awardees came from all over the world.

    Difficult though it was, we selected 35 proposals for the initial set of awards. The award recipients come from 15 countries/regions and represent a variety of research domains, including scholarly communication and collaboration, big data and machine learning, urban informatics, genomics and related health science, geo and environmental science, and computer science. Each selected project will receive a substantial allocation of Windows Azure compute and storage resources to support the research over the next 12 months. 

    The deadline for the next round of proposals is December 15, 2013. Applicants are also encouraged to attend one of our cloud computing for research training events, which are being held at locations around the world.

    The first-round selected projects are:

    • Adam Farquhar, The British Library, United Kingdom, British Library Labs in the Cloud
    • Animashree Anandkumar, University of California, Irvine, United States, Large-scale Unsupervised Learning via Tensor Methods: Applications in Social Networks and Text & Image Analysis
    • Anna Izabel J. Tostes, Federal University of Minas Gerais, Brazil, A Collaborative Cloud—based Business Intelligence Platform for Transportation Networks
    • Aoying Zhou, East China Normal University, China, COBA: Sensing Urban Lifestyle based on Collective Online Behavior Analysis with Windows Azure
    • Chu Hong Steven Hoi, Nanyang Technological University, Singapore, Cloud-Based Mobile Recommender Systems by Online Collaborative Filtering Techniques
    • Elisabetta Di Nitto, Politecnico di Milano, Italy, sAfe CitiEs through clouD and Internet-of-Things (ACED-IoT)
    • Evgeny Rogaev, Vavilov Institute of General Genetics, Russian Academy of Science, Russia, Alzheimer Bio Project
    • Frank Hutter, Freiburg University, Germany, CloudEval: Towards Community-Based Performance Testing and Optimization
    • Gabriel Antoniu, INRIA, France, Z-CloudFlow: Advanced Data Storage and Processing for Multi-site Cloud Workflows
    • Guangzhong Sun, University of Science and Technology, China, Smart Campus Construction Based On Rich Campus Datasets
    • Hansol Lee, Korea Military Academy, Korea, Employing a Customized Web-Based Corpus Program For Language Learning
    • Hojung Cha, Yonsei University, Korea, Development of a Crowd Sensing Framework for Inducing User Participation in Urban Environments
    • Hugo Andres Neyem, Pontificia Universidad Católica de Chile, Chile, Improving the Preservation of Latin America’s Wildlife through a Cloud Shared Workspace
    • Ian Gent, University of St Andrews, United Kingdom, Recomputation of Scientific Experiments
    • Jaime Ruiz, Colorado State University, United States, EQStratus: On-Demand Genome Assembly using Cloud Infrastructure
    • James M Hogan, Queensland University of Technology, Australia, Bing for Genomes – Information Retrieval Approaches to Genomic Search and Comparison
    • Jim Nelson, Brigham Young University, United States, Flood Early Warning System in the Cloud
    • Ka Yee Yeung-Rhee, University of Washington, United States, Inference of Gene Networks Studying Human Cancers On The Cloud
    • Kenneth H. Buetow, Arizona State University, United States, Using Data Science Approaches To Map Biologic Processes To Clinical Phenotype And Outcome
    • Matthew Bawn, University of San Martin de Porres, Peru, The Use of the Cloud as a Computational Platform for Genomic Analysis
    • Paolo Missier, Newcastle University, United Kingdom, Analysis and Interpretation of Human Exome Sequencing for Clinical Diagnosis and EHR Integration in the Cloud
    • Patrick Hénaff, Université Paris 1, France, Euclide Quant Network
    • Peng Gong, Tsinghua University, China, Satellite Remote Sensing for Urban Computing—40 Year Dynamic Information on Land Use for Beijing City from Time Series Landsat Data and Computer Simulation
    • Peter Coveney, University College London, United Kingdom, Collaborative Computational Project in Systems Medicine
    • Philip Kershaw, STFC Rutherford Appleton Laboratory, United Kingdom, JASMIN
    • Philippe Desjardins-Proulx, Université du Quebec, Canada, Growing Intelligence with Cloud Markov Logic Networks
    • Richard P. Hooper, Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI), United States, Transforming Water Science with Featured-Based Data Access
    • Romain Rouvoy, University Lille 1, France, ApiSwarm
    • Soeren Balko, Queensland University of Technology, Australia, relocate.js
    • Tomasz Bednarz, CSIRO, Australia, Image Analysis in Azure Clouds
    • Victor O.K. Li, The University of Hong Kong, China, A Big Data Stream Processing Solution for Hidden Causality Detection of Urban Dynamics
    • Wenjun Wu, Beihang University, China, Cloud based MOOC Platform for Self-organized Learning  
    • Yanmin Zhu, Shanghai Jiao Tong University, China, NoiseSense: Crowdsourcing-based Urban Noise Mapping with Smartphones
    • Yuguo Li, University of Hong Kong, Hong Kong, SmartComfort - Use of Smartphone and Cloud Technologies for Building Thermal Comfort, and Ventilation and Health Studies in Megacities
    • Yung-Hsiang Lu, Purdue University, United States, Cloud-Based System for Continuous Analysis of Many Cameras

    We are thrilled to be off and running with the Windows Azure for Research awards, and we look forward to being amazed by the next batch of proposals.    

    Dennis Gannon, Director of Cloud Research Strategy, Microsoft Research

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  • Microsoft Research Connections Blog

    Symposium celebrates research collaborations

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    Big data took center stage at the fifth Microsoft Research Asia Joint Labs Symposium, held on November 2, 2013, in Hefei, China. Gathering under the theme of “Research Collaborations in the Big Data Era,” more than 50 faculty and graduate students, representing 10 labs, joined more than 20 Microsoft researchers to discuss the future of data-intensive science.

    The fifth Joint Labs Symposium featured a lively panel discussion about collaborations in the era of big data.
    The fifth Joint Labs Symposium featured a lively panel discussion about collaborations in the era of big data.

    The symposium is just one of many activities of the Microsoft Research Asia Joint Lab Program (JLP). Since its founding in 1999, the JLP has facilitated comprehensive cooperation between Microsoft Research and faculty and students at leading Chinese research universities. The program promotes joint research, advances academic exchange, and fosters talent development. Microsoft Research Asia has established 10 joint labs, eight of which have been named “Key Laboratories” by the Chinese Ministry of Education, a designation that allows them to compete for government funds. To date, the JLP has completed more than 200 joint projects and given rise to over 1,000 academic papers. Equally important, more than 1,000 students have participated in JLP, fueling a robust talent pipeline.

    The JLP facilitates cooperation between Microsoft Research and faculty and students at leading Chinese research universities.The fifth Joint Labs Symposium brought together key faculty and students from all 10 joint labs and provided a forum to showcase achievements, enhance scientific research, and cultivate high-caliber talent. The day’s events were broken into three segments. The first focused on urban informatics empowered by big data. The second centered on the role of cloud computing in the analysis of big data. The third featured a lively panel discussion about collaborations in the era of big data—a spirited dialogue that delved into a host of issues, including the potential of cloud services for research; the sharing of data, algorithms, tools, and even research stacks via virtual machines; and issues of data privacy.

    The symposium highlighted the importance that Microsoft Research places on collaboration with major academic institutions. We look forward to another year of fruitful cooperation, as we advance together into the realm of data-intensive research.

    —Kangping Liu, Senior University Relations Manager, Microsoft Research Connections Asia

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