After Kubernetes,Istio is the most popular cloud-native technology. It is a service mesh that securely connects multiple microservices of an application. Think of Istio as an internal and external load balancer with a policy-driven firewall with support for comprehensive metrics. The reason why developers and operators love Istio is the non-intrusive deployment pattern. Almost any Kubernetes service can be seamlessly integrated with Istio without explicit code or configuration changes.
Google recently announced a managed Istio service on GCP. Apart from Google, IBM, Pivotal, Red Hat, Tigera and Weaveworks are the active contributors and supporters of the project.
Istio presents an excellent opportunity for ISVs to deliver custom solutions and tools to enterprises. This project is bound to become one of the core building blocks of cloud-native platforms. I expect every managed Kubernetes service to have a hosted Istio service.
Prometheus
Prometheus is a cloud-native monitoring tool for workloads deployed on Kubernetes. It plugs a critical gap that exists in the cloud-native world through comprehensive metrics and rich dashboards.
Helm
If Kubernetes is the new OS, Helm is the application installer. Designed on the lines of Debian packages and Red Hat Linux RPMs, Helm brings the ease and power of deploying cloud-native workloads with a single command.
Spinnaker
One of the promises of cloud-native technology is the rapid delivery of software. Spinnaker, an open source project initially built at Netflix delivers that promise. It is a release management tool that adds velocity to deploying cloud-native applications.
Kubeless
Event-driven computing is becoming an integral part of modern application architecture. Functions as a Service (FaaS) is one of the delivery models of serverless computing which complements containers through event-based invocation. Modern applications will have services packaged as containers and functions running within the same environment.
Cross-Institution & Cross-Sector Collaboration Long-Term Trend: Driving Ed Tech adoption in higher education for five or more years
Although a variety of collaborations between higher education and industry have emerged, more-explicit frameworks and guidelines are needed to define how these partnerships should proceed to have the greatest impact.
Proliferation of Open Educational Resources Mid-Term Trend: Driving Ed Tech adoption in higher education for the next three to five years
The United States lags on the policy front. In September 2017, the Affordable College Textbook Act was once again introduced in both the US House of Representatives and the Senate “to expand the use of open textbooks
It is unlikely that ACTA will pass, however, as it has been unsuccessfully introduced to two previous Congresses.
The Rise of New Forms of Interdisciplinary Studies
Faculty members, administrators, and instructional designers are creating innovative pathways to college completion through interdisciplinary experiences, nanodegrees, and other alternative credentials, such as digital badges. Researchers, along with academic technologists and developers, are breaking new ground with data structures, visualizations, geospatial applications, and innovative uses of opensource tools.
Growing Focus on Measuring Learning
As societal and economic factors redefine the skills needed in today’s workforce, colleges and universities must rethink how to define, measure, and demonstrate subject mastery and soft skills such as creativity and collaboration. The proliferation of data-mining software and developments in online education, mobile learning, and learning management systems are coalescing toward learning environments that leverage analytics and visualization software to portray learning data in a multidimensional and portable manner
Redesigning Learning Spaces
upgrading wireless bandwidth and installing large displays that allow for more natural collaboration on digital projects. Some are exploring how mixed-reality technologies can blend 3D holographic content into physical spaces for simulations, such as experiencing Mars by controlling rover vehicles, or how they can enable multifaceted interaction with objects, such as exploring the human body in anatomy labs through detailed visuals. As higher education continues to move away from traditional, lecture-based lessons toward more hands-on activities, classrooms are starting to resemble real-world work and social environments
Authentic Learning Experiences
An increasing number of institutions have begun bridging the gap between academic knowledge and concrete applications by establishing relationships with the broader community; through active partnerships with local organizations
Improving Digital Literacy Solvable Challenge: Those that we understand and know how to solve
Digital literacy transcends gaining discrete technological skills to generating a deeper understanding of the digital environment, enabling intuitive and discerning adaptation to new contexts and cocreation of content.107 Institutions are charged with developing students’ digital citizenship, promoting the responsible and appropriate use of technology, including online communication etiquette and digital rights and responsibilities in blended and online learning settings. This expanded concept of digital competence is influencing curriculum design, professional development, and student-facing services and resources. Due to the multitude of elements of digital literacy, higher education leaders must obtain institution-wide buy-in and provide support for all stakeholders in developing these competencies.
Despite its growing importance, it remains a complex topic that can be challenging to pin down. Vanderbilt University established an ad hoc group of faculty, administrators, and staff that created a working definition of digital literacy on campus and produced a white paper recommending how to implement digital literacy to advance the university’s mission: https://vanderbilt.edu/ed-tech/committees/digital-literacy-committee.php
Adapting Organizational Designs to the Future of Work
Technology, shifting information demands, and evolving faculty roles are forcing institutions to rethink the traditional functional hierarchy. Institutions must adopt more flexible, teambased, matrixed structures to remain innovative and responsive to campus and stakeholder needs.
Attempts to avoid bureaucracy also align with a streamlined workforce and cost elimination. Emphasis has been placed on designing better business models through a stronger focus on return on investment. This involves taking a strategic approach that connects financial practice (such as analyzing cost metrics and resource allocation) with institutional change models and goals.124
Faculty roles have been and continue to be impacted by organizational change, as well as by broader economic movements. Reflective of today’s “gig economy,” twothirds of faculty members are now non-tenure, with half working part-time, often in teaching roles at several institutions. This stands as a stark contrast to 1969, when almost 80 percent of faculty were tenured or tenuretrack; today’s figures are nearly inverted. Their wages are applying pressure to traditional organizational structures.Rethinking tenure programs represents another change to organizational designs that aligns with the future of work.
Organizational structures are continuing to evolve on the administrative side as well. With an emphasis on supporting student success, many institutions are rethinking their student services, which include financial aid, academic advising, and work-study programs. Much of this change is happening within the context of digital transformation, an umbrella term that denotes the transformation of an organization’s core business to better meet customer needs by leveraging technology and data.
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added Nov 13, 2018
6 growing trends taking over academic libraries
BY MERIS STANSBURY
March 24th, 2017
Horizon Report details short-and long-term technologies, trends that will impact academic libraries worldwide in the next 5 years.
Research Data Management: The growing availability of research reports through online library databases is making it easier for students, faculty, and researchers to access and build upon existing ideas and work. “Archiving the observations that lead to new ideas has become a critical part of disseminating reports,” says the report.
Valuing the User Experience: Librarians are now favoring more user-centric approaches, leveraging data on patron touchpoints to identify needs and develop high-quality engaging experiences.
(Mid-Term, 3-5 years):
Patrons as Creators: Students, faculty, and researchers across disciplines are learning by making and creating rather than by simply consuming content. Creativity, as illustrated by the growth of user-generated videos, maker communities, and crowdfunded projects in the past few years, is increasingly the means for active, hands-on learning. People now look to libraries to assist them and provide tools for skill-building and making.
Rethinking Library Spaces: At a time when discovery can happen anywhere, students are relying less on libraries as the sole source for accessing information and more for finding a place to be productive. As a result, institutional leaders are starting to reflect on how the design of library spaces can better facilitate the face-to-face interactions.
(Long-Term, 5 or more years):
Cross-Institution Collaboration: Within the current climate of shrinking budgets and increased focus on digital collections, collaborations enable libraries to improve access to scholarly materials and engage in mission-driven cooperative projects.
Evolving Nature of the Scholarly Record: Once limited to print-based journals and monographic series, scholarly communications now reside in networked environments and can be accessed through an expansive array of publishing platforms. “As different kinds of scholarly communication are becoming more prevalent on the web, librarians are expected to discern the legitimacy of these innovative approaches and their impact in the greater research community through emerging altmetrics tools,” notes the report.
Improving digital literacy: According to the report, digital literacy transcends gaining isolated technological skills to “generate a deeper understanding of the digital environment, enabling intuitive adaptation to new contexts, co-creation of content with others, and an awareness of both the freedom and risks that digital interactions entail. Libraries are positioned to lead efforts to develop students’ digital citizenship, ensuring mastery of responsible and appropriate technology use, including online identity, communication etiquette, and rights and responsibilities.”
Instagram has done some tweaking of their algorithm which is making competition for visibility on the platform much tougher. According to our Facebook connections, this is a deliberate move to help reduce the spammy and less relevant behavior of certain Instagram accounts.
a great study that analyzed the content performance of Instagram posts when the hashtags are placed in the post compared to when hashtags are placed in the comments.
Including hashtags in the post resulted in 9.84% more Likes and 29.4% more Reach. Placing the hashtags in the comments resulted in 19.3% more comments for some strange reason.
Placing hashtags in the Instagram post resulted in 18% better content performance metrics. While this might seem like a slim margin, you must consider the extra time and steps it would take to go back and remember to add hashtags into your posts’ comments.
Facebook has moved more than 1.5 billion users out of reach of European privacy law, despite a promise from Mark Zuckerberg to apply the “spirit” of the legislation globally.
Privacy researcher Lukasz Olejnik disagreed, noting that the change carried large ramifications for the affected users. “Moving around one and a half billion users into other jurisdictions is not a simple copy-and-paste exercise,” he said.
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Facebook To Offer Users Opt-Outs That Comply With New European Privacy Rules
As we reported earlier this week, a federal judge in California ruled that Facebook could be sued in a class-action lawsuit brought by users in Illinois who say the social media company improperly used facial recognition to upload photographs.
Also on Wednesday, TechCrunch reports that Facebook is investigating a security research report showing that its user data is vulnerable to third-party JavaScript trackers embedded on websites offering the “Login With Facebook” feature.
Lazer, D. M. J., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., … Zittrain, J. L. (2018). The science of fake news. Science, 359(6380), 1094–1096. https://doi.org/10.1126/science.aao2998
Baum and David Lazer, M. A. (2017, May 11). Social media must be held to account on fake news. Winnipeg Free Press (MB). p. A7.
In a paper published in March in the journal Science, David Lazer, Matthew Baum and 14 co-authors consider what we do and don’t know about the science of fake news. They definefake news as “fabricated information that mimics news media content in form but not in organizational process or intent,” and they go on to discuss problems at multiple levels: individual, institutional and societal. What do we know about individuals’ exposure to fake news and its influence upon them? How can Internet platforms help limit the dissemination of fake news? And most fundamentally: How can we succeed in creating and perpetuating a culture that values and promotes truth?
Steven Sloman, professor of cognitive, linguistic and psychological sciences at Brown University, and one of the paper’s 16 authors. Sloman is also author of The Knowledge Illusion: Why We Never Think Alone, a book about the merits and failings of our collaborative minds, published in 2017 with co-author Philip Fernbach.
Sloman, S. A. (2017). The knowledge illusion: Why we never think alone. New York: Riverhead Books.
In 2015, the weekly wages of public school teachers in the United States were 17 percent lower than comparable college-educated professionals — and those most hurt are veteran teachers and male teachers.
says David Greenfield, a psychologist and assistant clinical professor of psychiatry at the University of Connecticut:When we hear a ding or little ditty alerting us to a new text, email or Facebook post, cells in our brains likely release dopamine — one of the chemical transmitters in the brain’s reward circuitry. That dopamine makes us feel pleasure
“It’s a spectrum disorder,” says Dr. Anna Lembke, a psychiatrist at Stanford University, who studies addiction. “There are mild, moderate and extreme forms.” And for many people, there’s no problem at all.
Signs you might be experiencing problematic use, Lembke says, include these:
Interacting with the device keeps you up late or otherwise interferes with your sleep.
It reduces the time you have to be with friends or family.
It interferes with your ability to finish work or homework.
It causes you to be rude, even subconsciously. “For instance,” Lembke asks, “are you in the middle of having a conversation with someone and just dropping down and scrolling through your phone?” That’s a bad sign.
It’s squelching your creativity. “I think that’s really what people don’t realize with their smartphone usage,” Lembke says. “It can really deprive you of a kind of seamless flow of creative thought that generates from your own brain.”
Consider a digital detox one day a week
Tiffany Shlain, a San Francisco Bay Area filmmaker, and her family power down all their devices every Friday evening, for a 24-hour period.
“It’s something we look forward to each week,” Shlain says. She and her husband, Ken Goldberg, a professor in the field of robotics at the University of California, Berkeley, are very tech savvy.
A recent study of high school students, published in the journal Emotion, found that too much time spent on digital devices is linked to lower self-esteem and a decrease in well-being.
Combine the superfast calculational capacities of Big Compute with the oceans of specific personal information comprising Big Data — and the fertile ground for computational propaganda emerges. That’s how the small AI programs called bots can be unleashed into cyberspace to target and deliver misinformation exactly to the people who will be most vulnerable to it. These messages can be refined over and over again based on how well they perform (again in terms of clicks, likes and so on). Worst of all, all this can be done semiautonomously, allowing the targeted propaganda (like fake news stories or faked images) to spread like viruses through communities most vulnerable to their misinformation.
According to Bolsover and Howard, viewing computational propaganda only from a technical perspective would be a grave mistake. As they explain, seeing it just in terms of variables and algorithms “plays into the hands of those who create it, the platforms that serve it, and the firms that profit from it.”
Computational propaganda is a new thing. People just invented it. And they did so by realizing possibilities emerging from the intersection of new technologies (Big Compute, Big Data) and new behaviors those technologies allowed (social media). But the emphasis on behavior can’t be lost.
People are not machines. We do things for a whole lot of reasons including emotions of loss, anger, fear and longing. To combat computational propaganda’s potentially dangerous effects on democracy in a digital age, we will need to focus on both its howand its why.
ALLISON AUBREY