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Xerox Research Innovation Challenge 2015

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Introduction

Xerox Research Centre India (XRCI) is calling all Data Science enthusiasts to participate in the Research Innovation Challenge. The Challenge is an unprecedented competitive forum to design innovative models and algorithms for real life analytics problems, have fun and win exciting prizes. Entire challenge will be conducted in multiple phases, beginning with a Data Science Challenge, moving to a preparatory school on Machine Learning hosted at XRCI, followed by a grand challenge (phase 3) to design novel machine learning models and algorithms for big data in healthcare.

Rules

  • Students can form teams of up to 3 members for participation (we do not encourage teams of less than 3 members).
  • Top 10 teams in this challenge will be hosted at XRCI for 3 weeks for the Winter School and Grand Challenge.
  • Dates: October 12 – 25, 2015
  • Duration: 2 weeks

Eligibility


This contest is open to all for participation, but only students in India based colleges across all disciplines in their pre-final and final year of an undergraduate or Master’s and PhD program are eligible for prizes and career opportunities.

Prizes

  • If you are among the top 10 teams of this challenge, we will host you at our center for 3 weeks in December to attend a preparatory school on Machine learning and participate in the Grand Challenge.
  • You will get the opportunity to learn about the latest tools and techniques for Big Data Analytics and research advancements in Machine Learning through the Winter School. The school will have tutorial talks by invited academicians and XRCI scientists addressing both theoretical and practical aspects of Machine Learning.
  • We will cover travel and housing for all the participants and pay a stipend of Rs. 20,000 during this period.
  • Once you complete the school, we will provide you with the real-life healthcare data. Your task will be to analyse the past data of patients and design novel machine learning models and algorithms that can predict complications before they occur. These models can be used to provide alerts to clinical staff and identify high—risk patients in hospitals in order to provide better care and save patients’ lives. Isn’t it exciting?
    • The Winners of the final round will receive:
      • A MacBook for each member of the winning team and an iPad for each member in the Runner-up team.
      • Invited Participation at XRCI Open 2016 and Internship opportunities at XRCI
      • Opportunity to publish the results with XRCI scientists in top-tier international conferences/journals

    • Data Science Challenge – Phase I

    The aim of this challenge would be to predict risk of death (mortality) in patients admitted to intensive care units (ICU) within hospitals. We will provide simulated patient records with all the challenges of real—world data. Each patient record will contain time-series measurements of vitals and lab investigation values that are noisy and irregularly sampled. Your goal would be to train a machine learning model using this data that can predict mortality risk of patients entering ICUs as early as possible. Such predictive systems can be used to alert clinical staff who can then save the patient’s life. More details to follow....

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