Cybera - Wind Turbine Analysis
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Cybera's mission is to spur innovation in Alberta through the use of cyberinfrastructure for economic benefit. It supports peering between large internet service providers and institutions like the University of Alberta to facilitate data sharing. Cybera operates cyberports in several Alberta cities that provide high-speed network access and collaboration portals. It also pilots commercial supercomputing and very big data solutions for industries such as oil and gas, finance, and genomics.
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3) Potential solutions discussed, including privacy impact assessments, privacy by design, and new approaches focusing more on transparency and responsibility than restricting data access and use.
Cyber Summit 2016: Establishing an Ethics Framework for Predictive Analytics ...
This document summarizes a presentation about establishing an ethics framework for predictive analytics using student data in higher education. It discusses how technology has enabled more data collection and predictive modeling of student behavior. However, few guidelines exist for these practices. The presentation advocates developing an ethics framework that safeguards student privacy, promotes transparency, considers unintended consequences, and involves consultation. It also examines existing principles and discusses challenges like opaque predictive models that work against students' interests. The presenter argues universities should internalize norms of respecting trust and serving students, not just avoiding legal issues.
Cyber Summit 2016: The Data Tsunami vs The Network: How More Data Changes Eve...
Canada’s National Research and Education Network, like other ultra-speed research networks, has evolved to transfer massive amounts of data at 100Gbps and beyond. But with the volume of data traffic growing at more than 50% per year, the ability to move increasing volumes of data is challenging. What are the kinds of applications in research and education that are driving this growth? What are the implications of the coming data tsunami on our communication networks? And what happens to network economics to keep up with the demand? CANARIE’s Chief Technology Officer, Mark Wolff, explores these topics and offer insights into how the NREN will evolve to continue to meet the unique needs of Canada’s research and education community.
Cyber Summit 2016: Issues and Challenges Facing Municipalities In Securing Data
The City of Calgary is responsible for providing municipal services to 1.1 million people and 16,000 employees with more than 700 sites and critical infrastructure units. The municipal services represent a $60B asset base including water and wastewater treatment plants, light rapid transit, emergency services, roads and recreation facilities, and has revenue and procurement streams of $4.0B annually. During his tenure, Owen Key, Chief Security Officer and the Chief Information Officer for the City, has implemented enterprise systems for CCTV, access and ID control, physical security information management systems, and has responsibility for information security.
Cyber Summit 2016: Using Law Responsibly: What Happens When Law Meets Technol...
This document summarizes issues at the intersection of law and technology in Canada over the next five years. It discusses debates around lawful access to data, encryption, data retention, and network interception capabilities. Other issues addressed include internet taxes, linking and payments between platforms, VPN use, global orders for content removal, localization requirements, and website blocking. The document argues that as these issues are addressed through law and policy, responsibilities must be met to use law responsibly and consider matters like privacy, oversight, safeguards, and technological implications.
Privacy, Security & Access to Data
This document summarizes a presentation given by Brian Hamilton on privacy, security, and access to data. It discusses the role of the Office of the Information and Privacy Commissioner of Alberta in overseeing privacy laws and reviewing research proposals. It outlines how the office analyzes information sharing and big data initiatives to ensure privacy is protected. Tips are provided for developing privacy controls and gaining approval, including conducting a privacy impact assessment and developing expertise in privacy principles.
Do Universities Dream of Big Data
Historically, the University of Alberta lacked a centrally managed repository for reporting data, resulting in inconsistency and disparity in access for units across campus. Meaningful and actionable reports were limited, and only focused on the interests and goals of the few units with data analysts who could synthesize the information.
Over the last couple of years, the University of Alberta has undertaken major changes in how information is managed and utilized. At the forefront of this change has been an increased interest in supporting the development of analytics and supporting tools. Beginning with the implementation of a centrally managed data warehouse with self-service capabilities, and the introduction of cloud services with business process analysis tools, the University is just starting down the road of big data.
This presentation explores opportunities and challenges for the University of Alberta in utilizing big data.
Predicting the Future With Microsoft Bing
The next generation of data scientists will be asked to build predictive models that can extract inferences from very large datasets which are unobservable at the surface, even to the best domain experts. Microsoft has access to some truly large data sets, web and search data from the Bing search engine and social data through collaborations with Twitter. In this talk, we show you how a small team of data scientists used this data to build the Bing Predicts engine — a collection of machine learnt predictive models that is beating industry experts at predicting the outcome of events like the Super Bowl, the Oscars, elections and referendums and even breakthroughs in health sciences. The talk will also give a preview of how organizations can adopt a big data mindset to generate and experiment with large data sets and to make amazing predictions using their own data.
Analytics 101: How to not fail at analytics
"Data Scientist" is perhaps the hottest job title of recent years. But what is a data scientist? What does a data scientist actually do? And where can they be found? In this talk, presenter Daniel Haight describes the benefits of analytics to decision-making, and explores the characteristics of successful organizations that have fostered their own team of data scientists.
Are MOOC's past their peak?
The MOOC movement is only four years old, but has already had a tremendous impact on teaching and learning. While the some of the original hype surrounding MOOCs has not been realized, the reality is that they are here for good and are influencing institutional thinking. This talk will discuss the past, present and future of MOOCs.
Opening the doors of the laboratory
While the use of online instructional technologies allows the presentation of theoretical science materials, how do we deal with the fact that such courses often include hands-on labs? Laboratory simulations can only provide a solution for online students in a limited and often artificial way. Nearly 20 years ago, Athabasca University developed a solution to the problem of students having to travel to complete their lab work. Emerging technologies at the time allowed for quantitative physics labs to be sent to students as a small kit. The physics initiative was so successful, with over 5,000 students served, that it was picked up in other fields at Athabasca University.
Over the years, such material has become cheaper, easier to use, and more integrated with modern computers. Athabasca is now pioneering ways to put real labs directly onto the internet. In this session, the methods used to make real lab experiences available to online students will be discussed, and some of them demonstrated.
Open City - Edmonton
Canadian municipalities are making great strides when it comes to sharing their data in fun, interactive ways. In this session, presenters will look at cities that are using their data to create useful apps and services for citizens; and describe how all community leaders can get involved to make their municipality more open and accessible.
Unlocking the power of healthcare data
Data science and the use of big data in healthcare delivery could revolutionize the field by decreasing costs and vastly improving efficiency and outcomes. There is an abundance of healthcare data in Canada, but it is mostly siloed and difficult to access due to privacy and security challenges. This session will offer insights into best practices for healthcare analytics programs, as well as use cases that demonstrate the potential benefits that can be realized through this work.
Checking in on Healthcare Data Analytics
Data science and the use of big data in healthcare delivery could revolutionize the field by decreasing costs and vastly improving efficiency and outcomes. There is an abundance of healthcare data in Canada, but it is mostly siloed and difficult to access due to privacy and security challenges.
Open access and open data: international trends and strategic context
Governments around the world fund billions of dollars in research every year. Ensuring that the results of research are available to the public, other researchers and industry has become an important underlying value in order to maximize the impact of our publicly funded research. This session will discuss what’s driving the trend towards greater openness and provide an overview of international developments that will help put Canada’s activities into context.
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