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Updates from the Center for Data Innovation

Featured Articles

Event Recap: Using Big Data to Measure the Economy
To what extent can non-traditional data sources, such as Internet search data, improve the quality and timeliness of official government data? This was the central question discussed at a recent policy forum hosted by the Center for Data Innovation at the European Parliament with MEP Miapetra Kumpula-Natri. 

Comments to the NTIA on the Benefits, Challenges, and Potential Roles for the Government in Fostering Advancement of the Internet of Things
In response to a request for comment, the Center for Data Innovation has filed comments with the National Telecommunication and Information Administration (NTIA), an agency within the U.S. Department of Commerce, describing the substantial social and economic benefits of the Internet of Things, identifying barriers to the growth of the technology, and suggesting a number of actions the government should take to maximize the benefits the Internet of Things can offer the public and private sectors.

5 Q’s for Jason Saul, Chief Executive Officer of Mission Measurement
The Center for Data Innovation spoke with Jason Saul, chief executive officer and founder of Mission Measurement, a social-change focused analytics firm based in Chicago. Saul discussed how most social programs do not use meaningful data to measure their progress and how Pandora Internet Radio inspired him to take a predictive analytics approach to social change.
 

Weekly News

1. Charting the Course for Big Data R&D
The White House has released its Federal Big Data Research and Development Strategic Plan to guide federal agency research and development (R&D) initiatives related to big data. The plan outlines seven strategies for future agency R&D efforts that focus on addressing key opportunities and challenges, including increasing data science education and training, fostering collaboration between government, the private sector, academia, and civil society, and increasing the value of data with policies that promote data sharing and management.

2. Making Clothing Smarter
Google has announced a partnership with clothing company Levi Strauss called Project Jacquard to develop clothing with conductive fabric woven in, allowing garments to serve as a platform for interaction with connected devices. Project Jacquard uses yarn that can conduct electricity, making it touch sensitive, to control applications on a wearer’s smartphone such as navigation and music apps. The goal of Project Jacquard is to produce smart fabrics on an industrial scale to encourage consumer adoption, and the first product—a denim jacket—will be available to developers and for retail sale in spring 2017.

3. Congress Wants to Learn More About the Internet of Things
Representatives Rob Latta (R-OH) and Peter Welch (D-VT) have launched a working group devoted to improving members of Congress’ understanding of the Internet of Things. The bipartisan working group consists of 19 members of the House Energy and Commerce Committee and will focus on educating members about the Internet of Things, identifying benefits and challenges for stakeholders, exploring the ideal role for the federal government to help grow the technology, and investigate the potential for public-private partnerships. The working group will produce a report by the end of 2016 detailing their activities and findings.

4. Using Tesla Drivers’ Data to Advance Self-Driving Cars
Tesla is using data collected from sensors in its customers’ cars to advance its efforts to develop self-driving car technology, allowing the company to access large amounts of real-world data rather than conduct its own field testing. In 2014, Tesla began installing a suite of 12 ultrasonic sensors in its vehicles to support emergency braking and its new autopilot features, as well as stream this data to Tesla engineers. With this approach, Tesla collects one million miles worth of data every 10 hours and can rapidly evaluate new autonomous features it installs in customers’ vehicles.

5, Building a Pipeline for Smart City Data
The city of Los Angeles has partnered with research group Corporation for Education Network Initiatives in California (CENIC) to provide researchers, academic institutions, and students with free, high-speed access to city databases to promote smart city research. Los Angeles already publishes over 1,000 data sets online, but through this partnership, the city will link its databases to the California Research and Education Network (CalREN), a 100 gigabit-per-second data sharing portal that will allow researchers to work with this data more quickly.

6, Protecting Veterans’ Graves with Better Data
Mobile technology firm DMI has developed the Enterprise Interment Services System (EISS), a data management tool to improve oversight of U.S. veterans’ grave sites, many of which have been the subject of high-profile controversies in recent years due to poor record keeping. EISS allows grounds teams to match burial record data with geotagged photographs of each grave site to improve record management and comprehensively map grave sites. This approach could help avoid scandals such as how Army investigators in 2010 found over 100 unmarked graves at Arlington National Cemetery and multiple graves not appearing on official maps.

7, Building Up Artificial Intelligence in China
China’s National Development and Reform Commission announced a series of efforts to grow the Chinese market for artificial intelligence products and services to $15 billion over the next three years. The efforts will focus on advancing research related to core artificial intelligence technologies, provide financial support, and develop projects centered on robotics, smart homes and automobiles, and wearable devices. The efforts are an extension of China’s Internet Plus strategy, announced last year, to fuel economic growth by promoting the development of cloud computing, the Internet of Things, and other data technologies.

8. Making Passwords Smarter with Data Technologies
Google has announced plans to implement its new Trust application programming interface (API) to replace passwords as a means of securing mobile Android apps. Rather than simply verifying a password, Trust API runs in the background of a smartphone and analyzes a variety of data from the device’s sensors to develop a “trust score” that can more reliably indicate a user’s identify. For example, Trust API can use facial recognition, analyze typing patterns, and monitor a user’s gait to determine a trust score. If this score falls below a certain threshold, Trust API will prompt the user for additional verification.

9. Preparing Patient Data for Precision Medicine
The White House has released its Data Security Policy Principles and Framework for the Precision Medicine Initiative (PMI) to provide guidance for health-care organizations to responsibly use patient health, environmental, and genetic data to develop personalized medicine. The framework establishes eight core principles for PMI data, including the importance of ensuring participating organizations have high standards for data integrity and share their findings.

10. Smart Shoes Makes Navigating New Places Easier
European airline company easyJet is developing shoes called Sneakairs that rely on Bluetooth connectivity, small vibrating motors, and smartphone navigation services to help wearers navigate unfamiliar environments. Sneakairs pairs with a smartphone app that uses the Google Maps API to help wearers plot their route and track their location. When a wearer approaches a turn, Sneakairs will vibrate in the left or right shoe to indicate which way he or she is supposed to go. Sneakairs could help tourists explore new cities but also offer potential for people with vision impairments to easily navigate their environment. 

Data Visualization of the Week
Tracking the Likelihood of the Brexit
Bloomberg has created a website to visualize public sentiment about whether or not Britain should leave the European Union, a referendum known as the “Brexit.” The tracker, which Bloomberg updates daily, plots polling data and analysis from the Brexit probability index, a score calculated by Matt Singh of the Number Cruncher Politics blog that aggregates and adjusts polling data for historical accuracy and recency. The tracker charts the overall likelihood of the Brexit, political events that could influence public sentiment about the Brexit, the impact of the possibility of the Brexit on financial markets, and the percentage of people for and against the Brexit since September 1, 2015, when the referendum question was established. The tracker will continue until June 23, 2016, when Britain will vote on the referendum.
 

Data Set of the Week

Logging Consumer Complaints at the FCC
The U.S. Federal Communications Commission (FCC) has made data about informal consumer complaints it receives through its Consumer Help Center publicly available. The FCC receives thousands of consumer complaints each week on phone, Internet, television, radio, and telemarketing issues, such as unwanted calls, billing problems, indecent broadcasted content, and illegal broadcasts. All of the complaint data in anonymized and the FCC provides application programming interfaces (APIs), maps, and charts to make it easier to work with and understand the data.
 

Job Postings

Senior Policy Analyst
The Center for Data Innovation is recruiting a senior policy analyst to join its team as a full-time consultant to focus on European data policy issues. The position will be based in Brussels

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