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Data science offers the potential to revolutionize areas as disparate as commerce, healthcare, cybersecurity, and politics. To make progress in these areas, we must also make progress in computer science. Specifically, we at Microsoft Research believe that the best solution to a diverse set of problems is a diverse group of technically trained experts.
Cultivating such a broad base of expertise is at the heart of the Microsoft Research Data Science Summer School, an eight-week effort to introduce large-scale data analysis to undergraduate students in the New York City area that is committed to increasing diversity in computer science. The summer school therefore encourages applications from women, minorities, individuals with disabilities, and students from smaller, resource-constrained colleges.
This year’s summer school will run from June 15, 2015 to August 7, 2015. Apply online for the 2015 summer school; please note that the application deadline is April 17.
All applicants must:
The school will choose eight upper-level NYC undergraduate students who come from race, gender, and socioeconomic groups that are traditionally under-represented in computer science, or whose schools resources don’t meet students’ demands. Our intent is to give these young women and men a head start in their computing careers. Selected applicants will receive a laptop and a $5,000 stipend. More importantly, they will be introduced to the key tools and techniques for working with large data sets. The instruction will focus on how these tools can help solve actual problems, and will provide hands-on experience with real-world data, which is often far messier than the prepackaged data sets typically used in college courses.
The first four weeks of the summer school will introduce the students to practical tools for acquiring and interacting with data from online sources, methods from applied statistics for exploring data, and simple but effective tools from machine learning for modeling data. This will include scripting on the command line and statistical modeling in R. The course will contain a morning lecture and discussion followed by group and individual lab work in the afternoon.
The final four weeks will focus on two group research projects with mentor check-ins. Both groups will learn to apply technical tools to answer substantive scientific questions, and each will share its finding by producing a technical report, a demonstration, or both. These projects should serve as a key differentiator for graduate school applications and for those seeking research jobs, and a particularly successful project could lead to a scientific publication and/or recognition at a major conference. For example, last year’s summer school projects were accepted to the 2014 KDD Workshop on Data Science for Social Good and were recognized during the poster session at the 2015 ACM Richard Tapia Celebration of Diversity in Computing, the Association of Computing Machinery’s premier diversity event.
In addition to increasing diversity in computer science, the Microsoft Research Data Science Summer School also fosters long-term interactions between Microsoft Research and talented young students from the New York City area. Our over-arching goal is to get the students excited about computer science and to show them the creative, research side of the discipline, which they may not have encountered in their classes. In the process, we hope to prepare them for future careers in computer science.
—Jake Hofman & Justin Rao, Researchers, Microsoft Research New York City
Since its introduction in 2013, the Lab of Things (LoT) has captured the imagination of researchers, who are using this flexible, platform for experimental research that uses connected devices. During the past six months, we’ve updated and added features to the LoT. We’ve also seen LoT adopted in the classroom and used for some interesting research projects. We would like to share a few of these projects with you, and hope that they will inspire you to try using the Lab of Things for your own research.
Bringing auditory messages to people who are deaf or hard of hearing
The oven timer beeps, the doorbell rings, the smoke alarm blares: our homes are full of devices that deliver important messages via sound. But to people who cannot hear them, those acoustic messages remain undelivered. The Sound Choice team, whose members are students at the University of Washington, set out to solve this predicament. Using LoT, the student researchers integrated auditory data from a network of home sensors and processed the information in real time. The system then relayed the information to a wearable smartwatch that translated the message into tactile and visual output.
Monitoring elderly community residents
Many older people prefer to “age in place,” remaining in their own home as long as possible. But this poses serious problems for elderly folks living on their own. What happens if they fall or suffer a stroke? Who would know? While attending the University of Washington as a visiting scholar, Christian Bock, a student at Germany’s Heidelberg University, developed an experimental system for monitoring elderly people who live alone. His prototype (see the video below) uses three sensors—one in the kitchen, one on the refrigerator door, and one on the front door—to monitor the movements of the elderly resident. LoT links the devices together and stores the data in the Microsoft Azure cloud, where it is analyzed for signs of inactivity that could indicate an injury or illness. The data could be shared with family or community caregivers, who could then intervene in the event of an apparent medical problem.
Learning about the Internet of Things
Home sensors connected via LoT are just part of the much broader Internet of Things (IoT), that vast array of sensors in our houses, cars, stores, offices, and public spaces. It’s vital that researchers understand how to use the IoT as they design new systems. And what better place to start than by mastering the LoT? That was the conclusion of the faculty at Korea’s Kookmin University, whose Smart Embedded System Lab has been equipped with a comprehensive IoT curriculum based on the LoT platform. Students will use this curriculum to complete final projects across many different departments.
Evaluating smart home apps
At another Korean university, the Daegu Gyeongbuk Institute of Science and Technology, project lead Minsu Jo and his classmates are using LoT to understand the nature of people’s everyday activities in a home setting. To do so, they’re evaluating several smart home scenarios in their lab, which has been equipped with a variety of homelike sets and sensors, and they’re employing a home dashboard that lets users review and control the various apps. If you understand Korean, you’ll want to check out their video, which provides a high-level introduction to LoT and shows off some of their research.
Using LoT for teaching
As the foregoing examples show, people are using LoT as a teaching and research tool at universities around the world, and many of the student projects have been highly creative and potentially useful. See more LoT-based student projects and teaching materials, including university-level class curricula.
Integrating with Microsoft Azure services
Recently, we have added two samples to CodePlex that demonstrate how you can send LoT sensor data to the cloud via some powerful, but easy-to-use Azure services. The first sample shows how to use the Azure Mobile Services SDK to write data to a SQL Azure database from a LoT application. The second sample demonstrates how to integrate LoT with (1) Azure Event Hubs, which enables your app to process massive amounts of sensor data, and (2) Azure Stream Analytics, which lets you process complex event data in a low-latency, readily available, and highly scalable cloud environment.
Now that you've learned about just a few of the creative and noteworthy ways that students and researchers are using the LoT platform, we hope that you’ll download the latest version and start deploying your research studies.
—Arjmand Samuel, Senior Research Program Manager, Microsoft Research
I am totally psyched to be here in Austin, Texas, for South by Southwest Education (SXSWedu), a spinoff of the world-famous SXSW festivals of music, interactive, and film. I’m excited not only because it’s a chance to hear some great music and eat some unbelievable food. What really has me excited is the opportunity to promote computer science and information technology as a career option for young women.
SXSWedu will screen Big Dream, an inspiring film that tells the intimate stories of seven young women who are breaking barriers as they follow their passion in science, technology, engineering, and math—the acronymically named STEM fields. After the screening, I will be part of a panel discussion on the opportunities and challenges for girls who want to pursue STEM studies and careers. My fellow panelists are Kelly Cox, the director of the film, and Meredith Walker, the executive director of Amy Poehler’s Smart Girls, an organization that encourages young people to “change the world by being yourself.” Moderating the panel is longtime STEM advocate Tricia Berry, director of the Women in Engineering program at the University of Texas at Austin.
SXSWedu fosters innovation in learning and brings together a community that’s passionate about changing education. What better place to deliver the message that computer science is creative, collaborative, impactful, and a great field for girls! I want to tap into the electrifying energy here and empower young women, showing them that they can help solve the world’s greatest problems by pursuing computing careers. I want them to understand that we need their talents in STEM.
How badly do we need their talents? Well, according to the United States Department of Labor, Bureau of Labor Statistics, computing occupations rank among the fastest growing and highest paying jobs in the United States. The Bureau estimates that the number of computing jobs will grow by about 18 percent from 2012 to 2022. However, they also project that many of these positions will go unfilled, due to an insufficient number of college graduates with computing-related degrees. (Source: Bureau of Labor Statistics, 2013.)
As you may have heard me say previously, encouraging girls to take computer science courses is crucial to boosting the number of college graduates with computing-related degrees in the workforce. The need is critical. But don’t just take my word for it. Consider these facts:
These statistics demonstrate that the talents of half our population are underutilized in computer science and information technology occupations. Furthermore, achieving gender balance in computer science increases the likelihood that computer software and hardware, and the myriad products and services they support, will be better aligned with the needs of all members of society. The addition of new talent and broader perspectives will have a positive impact on our economic growth and international competitiveness.
We know that the personal stories in Big Dream can excite young women, their families, and friends about opportunities STEM. Already this year, there have been more than 30 screenings of the film, and every day more organizations are signing up to show it. Learn how you can host a screening.
I want to acknowledge my colleagues on the Microsoft team—and our partners who are supporting our presence at SXSWedu. If you’re in Austin, check us out at the following sessions:
In addition, I can’t wait to hang out and meet educators and students at our Microsoft Lounge in the Hilton.
—Rane Johnson-Stempson, Principal Research Director, Microsoft Research