Europe

This is how the Future Today Institute researches, models & maps the future & develops strategies

Also see what the Institute for the Future does in this regard

Foresight Tools
IFTF has pioneered tools and methods for building foresight ever since its founding days. Co-founder Olaf Helmer was the inventor of the Delphi Method, and early projects developed cross-impact analysis and scenario tools. Today, IFTF is methodologically agnostic, with a brimming toolkit that includes the following favorites…

From DSC:
How might higher education use this foresight workflow? How might we better develop a future-oriented mindset?

From my perspective, I think that we need to be pulse-checking a variety of landscapes, looking for those early signals. We need to be thinking about what should be on our radars. Then we need to develop some potential scenarios and strategies to deal with those potential scenarios if they occur. Graphically speaking, here’s an excerpted slide from my introductory piece for a NGLS 2017 panel that we did.

This resource regarding their foresight workflow was mentioned in a recent e-newsletter from the FTI where they mentioned this important item as well:

Climate change: a megatrend that impacts us all
Excerpt:
Earlier this week, the United Nations’ scientific panel on climate change issued a dire report [PDF]. To say the report is concerning would be a dramatic understatement. Models built by the scientists show that at our current rate, the atmosphere will warm as much as 1.5 degrees Celsius, leading to a dystopian future of food shortages, wildfires, extreme winters, a mass die-off of coral reefs and more –– as soon as 2040. That’s just 20 years away from now.

But China also decided to ban the import of foreign plastic waste –– which includes trash from around the U.S. and Europe. The U.S. alone could wind up with an extra 37 million metric tons of plastic waste, and we don’t have a plan for what to do with it all.

Immediate Futures Scenarios: Year 2019

Optimistic: Climate change is depoliticized. Leaders in the U.S., Brazil and elsewhere decide to be the heroes, and invest resources into developing solutions to our climate problem. We understand that fixing our futures isn’t only about foregoing plastic straws, but about systemic change. Not all solutions require regulation. Businesses and everyday people are incentivized to shift behavior. Smart people spend the next two decades collaborating on plausible solutions.
Pragmatic: Climate change continues to be debated, while extreme weather events cause damage to our power grid, wreak havoc on travel, cause school cancellations, and devastate our farms. The U.S. fails to work on realistic scenarios and strategies to combat the growing problem of climate change. More countries elect far-right leaders, who shun global environmental accords and agreements. By 2029, it’s clear that we’ve waited too long, and that we’re running out of time to adapt.
Catastrophic: A chorus of voices calling climate change a hoax grows ever louder in some of the world’s largest economies, whose leaders choose immediate political gain over longer-term consequences. China builds an environmental coalition of 100 countries within the decade, developing both green infrastructure while accumulating debt service. Beijing sets global standards emissions––and it locks the U.S out of trading with coalition members. Trash piles up in the U.S., which didn’t plan ahead for waste management. By 2040, our population centers have moved inland and further north, our farms are decimated, our lives are miserable.

Watchlist: United Nations’ Intergovernmental Panel on Climate Change; European Geosciences Union; National Oceanic and Atmospheric Administration (NOAA); NASA; Department of Energy; Department of Homeland Security; House Armed Services Sub-committee on Emerging Threats and Capabilities; Environmental Justice Foundation; Columbia University’s Earth Institute; University of North Carolina at Wilmington; Potsdam Institute for Climate Impact Research; National Center for Atmospheric Research.

What does the Top Tools for Learning 2018 list tell us about the future direction of L&D? — from modernworkplacelearning.com by Jane Hart

Excerpt:

But for me 3 key things jump out:

More and more people are learning for themselves – in whatever way that suits them best – whether it is finding resources or online courses on the Web or interacting with their professional network. And they do all this for a variety of reasons: to solve problems, self-improve and prepare themselves for the future, etc.
Learning at work is becoming more personal and continuous in that it is a key part of many professional’s working day. And what’s more people are not only organising their own learning activities, they are also indeed managing their own development too – either with (informal) digital notebooks, or with (formal) personal learning platforms.
But it is in team collaboration where most of their daily learning takes place, and many now recognise and value the social collaboration platforms that underpin their daily interactions with colleagues as part of their daily work.

In other words, many people now see workplace learning as not just something that happens irregularly in corporate training, but as a continuous and on demand activity.

From DSC:
Reminds me of tapping into — and contributing towards — streams of content. All the time. Continuous, lifelong learning.

NEW: The Top Tools for Learning 2018 [Jane Hart]

On 09/29/2018, in A/V -- audio/visual, active learning, adjunct faculty, Adobe, adult learning, animation, Apple, Asia, assistive technologies, Australia, blended learning, blogs / blogging / vlogging, Canada, career development, change, cloud-based computing / apps / other cloud-related, collaboration, colleges, communications, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, design, digital audio, digital learning, digital photography, digital storytelling, digital video, distance education, e-books, e-publishing related items (EPUB and more), e-readers, education, education technology, educational games / serious games, elearning, Europe, Google, graphics, heutagogy, higher education, homeschooling/homeschoolers, India, instructional design, internet, IT in HE, K-12 related, learning, learning ecosystem, lifelong learning, media/film, microlearning, Microsoft, mobile learning, mobile technologies, MOOCs -- Massive Open Online Courses, more voice more choice more control, multimedia, New "Amazon.com" of Higher Education, online learning, platforms, podcasting, presentations, productivity / tips and tricks, professional development, smart classrooms, social learning / networks, social media, society, story, storytelling, streams of content, student teaching/teacher education, student-related, tablets, teachers, teaching & learning, teaching online, technologies for your home, technology (general), telecommunications, tools, training / L&D, trends, UK, United States, universities, vendors, videoconferencing, Virtual Reality (VR) / worlds / learning, web design and production, web-based collaboration, workplace, by Daniel Christian

The above was from Jane’s posting 10 Trends for Digital Learning in 2018 — from modernworkplacelearning.com by Jane Hart

Excerpt:

[On 9/24/18], I released the Top Tools for Learning 2018 , which I compiled from the results of the 12th Annual Digital Learning Tools Survey.

I have also categorised the tools into 30 different areas, and produced 3 sub-lists that provide some context to how the tools are being used:

Top 100 Tools for Personal & Professional Learning 2018 (PPL100): the digital tools used by individuals for their own self-improvement, learning and development – both inside and outside the workplace.
Top 100 Tools for Workplace Learning (WPL100): the digital tools used to design, deliver, enable and/or support learning in the workplace.
Top 100 Tools for Education (EDU100): the digital tools used by educators and students in schools, colleges, universities, adult education etc.

3 – Web courses are increasing in popularity.
Although Coursera is still the most popular web course platform, there are, in fact, now 12 web course platforms on the list. New additions this year include Udacity and Highbrow (the latter provides daily micro-lessons). It is clear that people like these platforms because they can chose what they want to study as well as how they want to study, ie. they can dip in and out if they want to and no-one is going to tell them off – which is unlike most corporate online courses which have a prescribed path through them and their use is heavily monitored.

5 – Learning at work is becoming personal and continuous.
The most significant feature of the list this year is the huge leap up the list that Degreed has made – up 86 places to 47th place – the biggest increase by any tool this year. Degreed is a lifelong learning platform and provides the opportunity for individuals to own their expertise and development through a continuous learning approach. And, interestingly, Degreed appears both on the PPL100 (at 30) and WPL100 (at 52). This suggests that some organisations are beginning to see the importance of personal, continuous learning at work. Indeed, another platform that underpins this, has also moved up the list significantly this year, too. Anders Pink is a smart curation platform available for both individuals and teams which delivers daily curated resources on specified topics. Non-traditional learning platforms are therefore coming to the forefront, as the next point further shows.

From DSC:
Perhaps some foreshadowing of the presence of a powerful, online-based, next generation learning platform…?

How AI could help solve some of society’s toughest problems — from MIT Tech Review by Charlotte Jee
Machine learning and game theory help Carnegie Mellon assistant professor Fei Fang predict attacks and protect people.

Excerpt:

At MIT Technology Review’s EmTech conference, Fang outlined recent work across academia that applies AI to protect critical national infrastructure, reduce homelessness, and even prevent suicides.

Google Cloud’s new AI chief is on a task force for AI military uses and believes we could monitor ‘pretty much the whole world’ with drones — from businessinsider.in by Greg Sandoval

Andrew Moore, the new chief of Google Cloud AI, co-chairs a task force on AI and national security with deep defense sector ties.
Moore leads the task force with Robert Work, the man who reportedly helped to create Project Maven.
Moore has given various talks about the role of AI and defense, once noting that it was now possible to deploy drones capable of surveilling “pretty much the whole world.”
One former Googler told Business Insider that the hiring of Moore is a “punch in the face” to those employees.

How AI can be a force for good — from science.sciencemag.org

Excerpt:

The AI revolution is equally significant, and humanity must not make the same mistake again. It is imperative to address new questions about the nature of post-AI societies and the values that should underpin the design, regulation, and use of AI in these societies. This is why initiatives like the abovementioned AI4People and IEEE projects, the European Union (EU) strategy for AI, the EU Declaration of Cooperation on Artificial Intelligence, and the Partnership on Artificial Intelligence to Benefit People and Society are so important (see the supplementary materials for suggested further reading). A coordinated effort by civil society, politics, business, and academia will help to identify and pursue the best strategies to make AI a force for good and unlock its potential to foster human flourishing while respecting human dignity.

Ethical regulation of the design and use of AI is a complex but necessary task. The alternative may lead to devaluation of individual rights and social values, rejection of AI-based innovation, and ultimately a missed opportunity to use AI to improve individual wellbeing and social welfare.

Robot wars — from ethicaljournalismnetwork.org by James Ball
How artificial intelligence will define the future of news

Excerpt:

There are two paths ahead in the future of journalism, and both of them are shaped by artificial intelligence.

The first is a future in which newsrooms and their reporters are robust: Thanks to the use of artificial intelligence, high-quality reporting has been enhanced. Not only do AI scripts manage the writing of simple day-to-day articles such as companies’ quarterly earnings updates, they also monitor and track masses of data for outliers, flagging these to human reporters to investigate.

Beyond business journalism, comprehensive sports stats AIs keep key figures in the hands of sports journalists, letting them focus on the games and the stories around them. The automated future has worked.

The alternative is very different. In this world, AI reporters have replaced their human counterparts and left accountability journalism hollowed out. Facing financial pressure, news organizations embraced AI to handle much of their day-to-day reporting, first for their financial and sports sections, then bringing in more advanced scripts capable of reshaping wire copy to suit their outlet’s political agenda. A few banner hires remain, but there is virtually no career path for those who would hope to replace them ? and stories that can’t be tackled by AI are generally missed.

Who’s to blame when a machine botches your surgery? — from qz.com by Robert Hart

Excerpt:

That’s all great, but even if an AI is amazing, it will still fail sometimes. When the mistake is caused by a machine or an algorithm instead of a human, who is to blame?

This is not an abstract discussion. Defining both ethical and legal responsibility in the world of medical care is vital for building patients’ trust in the profession and its standards. It’s also essential in determining how to compensate individuals who fall victim to medical errors, and ensuring high-quality care. “Liability is supposed to discourage people from doing things they shouldn’t do,” says Michael Froomkin, a law professor at the University of Miami.

Alibaba looks to arm hotels, cities with its AI technology — from zdnet.com by Eileen Yu
Chinese internet giant is touting the use of artificial intelligence technology to arm drivers with real-time data on road conditions as well as robots in the hospitality sector, where they can deliver meals and laundry to guests.

Excerpt:

Alibaba A.I. Labs’ general manager Chen Lijuan said the new robots aimed to “bridge the gap” between guest needs and their expected response time. Describing the robot as the next evolution towards smart hotels, Chen said it tapped AI technology to address painpoints in the hospitality sector, such as improving service efficiencies.

Alibaba is hoping the robot can ease hotels’ dependence on human labour by fulfilling a range of tasks, including delivering meals and taking the laundry to guests.

Accenture Introduces Ella and Ethan, AI Bots to Improve a Patient’s Health and Care Using the Accenture Intelligent Patient Platform — from marketwatch.com

Excerpt:

Accenture has enhanced the Accenture Intelligent Patient Platform with the addition of Ella and Ethan, two interactive virtual-assistant bots that use artificial intelligence (AI) to constantly learn and make intelligent recommendations for interactions between life sciences companies, patients, health care providers (HCPs) and caregivers. Designed to help improve a patient’s health and overall experience, the bots are part of Accenture’s Salesforce Fullforce Solutions powered by Salesforce Health Cloud and Einstein AI, as well as Amazon’s Alexa.

German firm’s 7 commandments for ethical AI — from france24.com

Excerpt:

FRANKFURT AM MAIN (AFP) –
German business software giant SAP published Tuesday an ethics code to govern its research into artificial intelligence (AI), aiming to prevent the technology infringing on people’s rights, displacing workers or inheriting biases from its human designers.

New information worker roles; 10 ways VR will change life in the near future; 1st collab VR molecular modeling app; + other items re: XR

On 09/01/2018, in A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, Asia, Augmented Reality (AR), biology, career development, chemistry, corporate / business world, corporate universities / corporate training, creativity, Daniel S. Christian, digital learning, emerging technologies, engagement / engaging students, Europe, future, health, human-computer interaction (HCI), ideas, languages and translation, Microsoft, Mixed Reality (MR), Natural Language Processing (NLP), platforms, science, simulations, society, STEAM-related, tools, training / L&D, trends, United States, user experience (UX), vendors, Virtual Reality (VR) / worlds / learning, voice recognition / voice enabled interfaces, XR - extended reality, by Daniel Christian

San Diego’s Nanome Inc. releases collaborative VR-STEM software for free — from vrscout.com by Becca Loux

Excerpt:

The first collaborative VR molecular modeling application was released August 29 to encourage hands-on chemistry experimentation.

The open-source tool is free for download now on Oculus and Steam.

Nanome Inc., the San Diego-based start-up that built the intuitive application, comprises UCSD professors and researchers, web developers and top-level pharmaceutical executives.

“With our tool, anyone can reach out and experience science at the nanoscale as if it is right in front of them. At Nanome, we are bringing the craftsmanship and natural intuition from interacting with these nanoscale structures at room scale to everyone,” McCloskey said.

10 ways VR will change life in the near future — from forbes.com

Excerpts:

Virtual shops
Real estate
Dangerous jobs
Health care industry
Training to create VR content
Education
Emergency response
Distraction simulation
New hire training
Exercise

From DSC:
While VR will have its place — especially for timeswhen you need to completely immerse yourself into another environment — I think AR and MR will be much larger and have a greater variety of applications. For example, I could see where instructions on how to put something together in the future could use AR and/or MR to assist with that process. The system could highlight the next part that I’m looking for and then highlight the corresponding parts where it goes — and, if requested, can show me a clip on how it fits into what I’m trying to put together.

How MR turns firstline workers into change agents — from virtualrealitypop.com by Charlie Finkand
Mixed Reality, a new dimension of work — from Microsoft and Harvard Business Review

Excerpts:

Workers with mixed-reality solutions that enable remote assistance, spatial planning, environmentally contextual data, and much more,” Bardeen told me. With the HoloLens Firstline Workers workers conduct their usual, day-to-day activities with the added benefit of a heads-up, hands-free, display that gives them immediate access to valuable, contextual information. Microsoft says speech services like Cortana will be critical to control along with gesture, according to the unique needs of each situation.

Expect new worker roles. What constitutes an “information worker” could change because mixed reality will allow everyone to be involved in the collection and use of information. Many more types of information will become available to any worker in a compelling, easy-to-understand way.

Let’s Speak: VR language meetups — from account.altvr.com

Experiences in self-determined learning — a free download/PDF file from uni-oldenburg.de by Lisa Blaschke, Chris Kenyon, & Stewart Hase (Eds.)

Excerpts (emphasis DSC):

An Introduction to Self-Determined Learning (Heutagogy)

Summary
There is a good deal that is provocative in the theory and principles surrounding self-determined learning or heutagogy. So, it seems appropriate to start off with a, hopefully, eyebrow-raising observation. One of the key ideas underpinning self-determined learning is that learning, and educational and training are quite different things. Humans are born to learn and are very good at it. Learning is a natural capability and it occurs across the human lifespan, from birth to last breath. In contrast, educational and training systems are concerned with the production of useful citizens, who can contribute to the collective economic good. Education and training is largely a conservative enterprise that is highly controlled, is product focused, where change is slow, and the status quo is revered. Learning, however, is a dynamic process intrinsic to the learner, uncontrolled except by the learner’s mental processes. Self-determined learning is concerned with understanding how people learn best and how the methods derived from this understanding can be applied to educational systems. This chapter provides a relatively brief introduction of the origins, the key principles, and the practice of self-determined learning. It also provides a number of resources to enable the interested reader to take learning about the approach further.

Contributors to this book come from around the world: they are everyday practitioners of self-determined learning who have embraced the approach. In doing so, they have chosen the path less taken and set off on a journey of exploration and discovery – a new frontier – as they implement heutagogy in their homes, schools, and workplaces. Each chapter was written with the intent of sharing the experiences of practical applications of heutagogy, while also encouraging those just starting out on the journey in using self-determined learning. The authors in this book are your guides as you move forward and share with you the lessons they have learned along the way. These shared experiences are meant to be read – or dabbled in – in any way that you want to read them. There is no fixed recipe or procedure for tackling the book contents.

…

At the heart of self-determined learning is that the learner is at the centre of the learning process. Learning is intrinsic to the learner, and the educator is but an agent, as are many of the resources so freely available these days. It is now so easy to access knowledge and skills (competencies), and in informal settings we do this all the time, and we do it well. Learning is complex and non-linear, despite what the curricula might try to dictate. In addition, every brain is different as a result of its experience (as brain research tells us). Each brain will also change as learning takes place with new hypotheses, new needs, and new questions forming, as new neuronal connections are created.

Heutagogy also doesn’t have anything directly to do with self-determination theory (SDT). SDT is a theory of motivation related to acting in healthy and effective ways (Ryan & Deci, 2000). However, heutagogy is related to the philosophical notion of self-determinism and shares a common belief in the role of human agency in behavior.

The idea of human agency is critical to self-determined learning, where learning is learner-directed. Human agency is the notion that humans have the capacity to make choices and decisions, and then act on them in the real world. However, how experiences and learning bring people to make the choices and decisions that they do make, and what actions they may then take is a very complex matter. What we are concerned with in self-determined learning is that people have agency with respect to how, what, and when they learn. It is something that is intrinsic to each individual person. Learning occurs in the learner’s brain, as the result of his or her past and present experiences.

The notion of placing the learner at the centre of the learning experience is a key principle of self-determined learning. This principle is the opposite of teacher-centric or, perhaps more accurately curriculum-centric, approaches to learning. This is not to say that the curriculum is not important, just that it needs to be geared to the learner – flexible, adaptable, and be a living document that is open to change.

Teacher-centric learning is an artifact of the industrial revolution when an education system was designed to meet the needs of the factories (Ackoff & Greenberg, 2008) and to “make the industrial wheel go around” (Hase & Kenyon, 2013b). It is time for a change to learner-centred learning and the time is right with easy access to knowledge and skills through the Internet, high-speed communication and ‘devices’. Education can now focus on more complex cognitive activities geared to the needs of the 21st century learner, rather than have its main focus on competence (Blaschke & Hase, 2014; Hase & Kenyon, 2013a).

Mary Meeker’s Annual “Internet Trends Report” — the 2018 Edition is now out!

On 06/04/2018, in 21st century, A/V -- audio/visual, Amazon, analytics, Apple, Artificial Intelligence/Agents/LLMs/and Related, Asia, bots, business, career development, change, changing business models, cloud-based computing / apps / other cloud-related, communications, computer science, corporate / business world, data related items, digital video, economics, emerging technologies, Europe, Facebook / Meta Platforms, global / globalization, Google, ideas, innovation, internet, learning, lifelong learning, Microsoft, mobile technologies, MOOCs -- Massive Open Online Courses, more voice more choice more control, online learning, online media, pace of change, personalized/customized learning, platforms, presentations, programming, reinvent, research, society, sociology, staying relevant, student-related, surviving, technologies for your home, technology (general), the downsides of how people use tech, tools, trends, United States, user experience (UX), vendors, voice recognition / voice enabled interfaces, workplace, by Daniel Christian

Below are some excerpted slides from her presentation…

Also see:

20 important takeaways for learning world from Mary Meeker’s brilliant tech trends – from donaldclarkplanb.blogspot.com by Donald Clark
Excerpt:
Mary Meeker’s slide deck has a reputation of being the Delphic Oracle of tech. But, at 294 slides it’s a lot to take in. Don’t worry, I’ve been through them all. It has tons on economic stuff that is of marginal interest to education and training but there’s plenty to to get our teeth into. We’re not immune to tech trends, indeed we tend to follow in lock-step, just a bit later than everyone else. Among the data are lots of fascinating insights that point the way forward in terms of what we’re likely to be doing over the next decade. So here’s a really quick, top-end summary for folk in the learning game.

“Educational content usage online is ramping fast” with over 1 billion daily educational videos watched. There is evidence that use of the Internet for informal and formal learning is taking off.

Here’s Mary Meeker’s essential 2018 Internet Trends report — from techcrunch.com by Josh Constine

10 Big Takeaways From Mary Meeker’s Widely-Read Internet Report — from fortune.com by Leena Rao

Skill shift: Automation and the future of the workforce — from mckinsey.com by Jacques Bughin, Eric Hazan, Susan Lund, Peter Dahlström, Anna Wiesinger, and Amresh Subramaniam
Demand for technological, social and emotional, and higher cognitive skills will rise by 2030. How will workers and organizations adapt?

Excerpt:

Skill shifts have accompanied the introduction of new technologies in the workplace since at least the Industrial Revolution, but adoption of automation and artificial intelligence (AI) will mark an acceleration over the shifts of even the recent past. The need for some skills, such as technological as well as social and emotional skills, will rise, even as the demand for others, including physical and manual skills, will fall. These changes will require workers everywhere to deepen their existing skill sets or acquire new ones. Companies, too, will need to rethink how work is organized within their organizations.

This briefing, part of our ongoing research on the impact of technology on the economy, business, and society, quantifies time spent on 25 core workplace skills today and in the future for five European countries—France, Germany, Italy, Spain, and the United Kingdom—and the United States and examines the implications of those shifts.

Topics include:
How will demand for workforce skills change with automation?
Shifting skill requirements in five sectors
How will organizations adapt?
Building the workforce of the future

Europe divided over robot ‘personhood’ [Delcker]

On 04/20/2018, in change, emerging technologies, ethics, Europe, future, law schools, legislatures / government / legal, morals/values, pace of change, robotics, society, STEAM-related, by Daniel Christian

Europe divided over robot ‘personhood’ — from politico.eu by Janosch Delcker

Excerpt:

BERLIN — Think lawsuits involving humans are tricky? Try taking an intelligent robot to court.

While autonomous robots with humanlike, all-encompassing capabilities are still decades away, European lawmakers, legal experts and manufacturers are already locked in a high-stakes debate about their legal status: whether it’s these machines or human beings who should bear ultimate responsibility for their actions.

The battle goes back to a paragraph of text, buried deep in a European Parliament report from early 2017, which suggests that self-learning robots could be granted “electronic personalities.” Such a status could allow robots to be insured individually and be held liable for damages if they go rogue and start hurting people or damaging property.

Those pushing for such a legal change, including some manufacturers and their affiliates, say the proposal is common sense. Legal personhood would not make robots virtual people who can get married and benefit from human rights, they say; it would merely put them on par with corporations, which already have status as “legal persons,” and are treated as such by courts around the world.

World of active learning in higher ed [Negrea]

On 04/20/2018, in active learning, Asia, collaboration, colleges, community colleges, Europe, formal learning, higher education, informal learning, learning, learning ecosystem, learning spaces, smart classrooms, student-related, teaching & learning, tools, trends, UK, United States, universities, by Daniel Christian

World of active learning in higher ed — from universitybusiness.com by Sherrie Negrea
Formal and informal learning spaces transforming campuses internationally

Excerpts:

Active learning spaces are cropping up at campuses on nearly every continent as schools transform lecture halls, classrooms and informal study areas into collaborative technology hubs. While many international campuses have just started to create active learning spaces, others have been developing them for more than a decade.

As the trend in active learning classrooms has accelerated internationally, colleges in the U.S. can learn from the cutting-edge classroom design and technology that countries such as Australia and Hong Kong have built.

“There are good examples that are coming out from all over the world using different kinds of space design and different types of teaching,” says D. Christopher Brooks, director of research at Educause, who has conducted research on active learning spaces in the United States and China.

“If the students are engaged and motivated and enjoying their learning, they’re more likely to have improved learning outcomes,” says Neil Morris, director of digital learning at the University of Leeds. “And the evidence suggests that these spaces improve their engagement, motivation and enjoyment.”

The Space Satellite Revolution Could Turn Earth into a Surveillance Nightmare — from scout.ai by Becky Ferreira
Laser communication between satellites is revolutionizing our ability to track climate change, manage resources, and respond to natural disasters. But there are downsides to putting Earth under a giant microscope.

Excerpts:

And while universal broadband has the potential to open up business and education opportunities to hundreds of thousands of people, it’s the real-time satellite feeds of earth that may have both the most immediate and widespread financial upsides — and the most frightening surveillance implications — for the average person here on earth.
…
Among the industries most likely to benefit from laser communications between these satellites are agriculture and forestry.
…
Satellite data can also be used to engage the public in humanitarian efforts. In the wake of Typhoon Haiyan, DigitalGlobe launched online crowdsourcing campaigns to map damage and help NGOs respond on the ground. And they’ve been identifying vulnerable communities in South Sudan as the nation suffers through unrest and famine.

In an age of intensifying natural disasters, combining these tactics with live satellite video feeds could mean the difference between life and death for thousands of people.
…
Should a company, for example, be able to use real-time video feeds to track your physical location, perhaps in order to better target advertising? Should they be able to use facial recognition and sentiment analysis algorithms to assess your reactions to those ads in real time?
…
While these commercially available images aren’t yet sharp enough to pick up intimate details like faces or phone screens, it’s foreseeable that regulations will be eased to accommodate even sharper images. That trend will continue to prompt privacy concerns, especially if a switch to laser-based satellite communication enables near real-time coverage at high resolutions.

A kaleidoscopic swirl of possible futures confronts us, filled with scenarios where law enforcement officials could rewind satellite footage to identify people at a crime scene, or on a more familial level, parents could remotely watch their kids — or keep tabs on each other — from space. In that world, it’s not hard to imagine privacy becoming even more of a commodity, with wealthy enclaves lobbying to be erased from visual satellite feeds, in a geospatial version of “gated communities.”

From DSC:
The pros and cons of technologies…hmmm…this article nicely captures the pluses and minuses that societies around the globe need to be aware of, struggle with, and discuss with each other. Some exciting things here, but some disturbing things here as well.

5 benefits of using Augmented & Virtual Reality Technologies in eLearning — from elearningindustry.com by Christoper Pappas
Are you looking for ways to make your eLearning course stand out from the crowd? What if I told you there is technology that can help you achieve not only that but also increase online learner engagement and motivation? In this article, I’ll share the most notable benefits of using Augmented and Virtual Reality technologies in your eLearning course.

Excerpt:

Although their full implications are yet to be explored, alternate reality technologies make eLearning more engaging and productive. They are here to stay, and who knows what benefits they will bring to future learners. As the technology evolves, so too will the applications in eLearning. Which is why it’s essential for eLearning pros to keep up with cutting-edge tech and think of new and innovative uses for AR and VR tools.

National Museum of Finland Offers Virtual Time Travel — from vrfocus.com by
Visitors can step into the world of Finland in 1863 with the power of virtual reality.

Every type of AR and VR explained, from Rift to HoloLens and beyond — from t3.com by David Nield
Know your augmented from your virtual

Augmented reality lets doctors peer inside the body like never before — from nbcnews.com by Tom Metcalfe
New devices will end ‘historic disconnect’ in doctors’ treatments of patients.

Excerpt:

Augmented reality (AR) technologies that blend computer-generated images and data from MRI and CT scans with real-world views are making it possible for doctors to “see under the skin” of their patients to visualize bones, muscles, and internal organs without having to cut open a body.

Experts say AR will transform medical care by improving precision during operations, reducing medical errors, and giving doctors and patients alike a better understanding of complex medical problems.

Healthcare VR innovations are healing patients — from cio.com by Peter Nichol
Virtual reality is healing patients with augmented technologies. The patient experience has been transformed. Welcome to the era of engaged recovery — the new world of healing.

Excerpt:

Three emerging realities will change the hospital experience with unparalleled possibilities:

Virtual reality (VR): full immersion, a simulated reality.
Mixed reality: partial immersion, virtual objects in a real world.
Augmented reality (AR): information overlay, simulated information on top of the real world.

Today, we’ll explore how advances in virtual reality are creating worlds that heal.

…

The next generation of clinical education
The list of possibilities for VR is endless. Augmented and virtual reality medical solutions are removing distractions, improving the quality of critical thinking, and maturing learning solutions, saving time and money while supercharging the learning experience. Explosive developments in 3D virtual and augmented reality have taken clinical education and hands-on learning to the next level.

…

Innovation is ever present in the virtual reality space for healthcare.

Mindmaze has developed a breakthrough platform to build intuitive human-machine interfaces combining virtual reality, computer graphics, brain imaging and neuroscience.
MindMotionPRO is a healthcare product offering immersive virtual reality solutions for early motor rehabilitation in stroke patients.
Live 360 uses consumer-level virtual reality devices such as the Oculus Rift.
Medical Realities offers systems designed to reduce the cost of training.
ImmersiveTouch is a surgical virtual reality technology that offers a realistic surgical touch and feel. It also brings patient images to life with AR and VR imaging.
BioFlight VR offers a broad range of medical VR and AR services, including VR training and simulations, AR training, behavior modification and 360-degree video.
Zspace is an immersive medical learning platform, virtualizing anatomical representations into complete procedural planning. zSpace brings a new dimension to medical learning and visualization across three spaces: gross anatomy VR lab (13,000 plus anatomical objects), teaching presentation view (share the teaching experience with the class via HD TV) and DICOM Viewer (volumetrically render 2D DICOM slices).

Digital reality A technical primer — from deloitte.com

Excerpt:

Digital reality is generally defined as the wide spectrum of technologies and capabilities that inhere in AR, VR, MR, 360° video, and the immersive experience, enabling simulation of reality in various ways (see figure 1).

Key players in digital reality

In terms of key players, the digital reality space can be divided into areas of activity:

Tools/content—platforms, apps, capture tools, etc.
Application content—information from industry, analytics, social, etc.
Infrastructure—hardware, data systems, HMDs, etc.

Increasing investment in infrastructure may drive the growth of software and content, leading to new practical applications and, possibly, an infusion of digital reality software development talent.

This All-Female Founders Pitch Event Was Held in VR — from vrscout.com by Malia Probst
Hailing from 26 countries across the world, people came together in virtual reality to cheer on these top female founders in the XR industry.

How AR, VR and MR can Revolutionise Consumer Tech — from kazendi.com by Pauline Hohl

Excerpt:

Enterprise leading consumer tech adoption
Concerning the need for a VR/AR eco system Max referred to the challenge of technology adoption: people need to be able to try different use cases and be convinced about the potential of AR ,VR and MR. In order to become available (and affordable) for consumers, the technology would have to be adapted by businesses first as the story of 3D printing shows as one example.

He also highlighted the importance of the right training for users to reduce the general learning curve for immersive technology. Poor instructions in the first instance can lead to bad user experiences and cause doubt and even a dismissall of ‘new’ technologies.

We see this firsthand at Kazendi when users try out Microsoft HoloLens for the first time. Max commented that: ‘When people try to make the basic hand gestures and fail they often take the device off and say it’s broken.’

We do have a robust entry demo process to combat this but at the consumer level, and this is as true for VR as much as it is for MR and AR, there is little room for error when learning curves are concerned.

McKinsey: automation may wipe out 1/3 of America’s workforce by 2030 — from axios.com by Steve LeVine

Excerpt (emphasis DSC):

In a new study that is optimistic about automation yet stark in its appraisal of the challenge ahead, McKinsey says massive government intervention will be required to hold societies together against the ravages of labor disruption over the next 13 years. Up to 800 million people—including a third of the work force in the U.S. and Germany—will be made jobless by 2030, the study says.

The bottom line: The economy of most countries will eventually replace the lost jobs, the study says, but many of the unemployed will need considerable help to shift to new work, and salaries could continue to flatline. “It’s a Marshall Plan size of task,” Michael Chui, lead author of the McKinsey report, tells Axios.

In the eight-month study, the McKinsey Global Institute, the firm’s think tank, found that almost half of those thrown out of work—375 million people, comprising 14% of the global work force—will have to find entirely new occupations, since their old one will either no longer exist or need far fewer workers. Chinese will have the highest such absolute numbers—100 million people changing occupations, or 12% of the country’s 2030 work force.

I asked Chui what surprised him the most of the findings. “The degree of transition that needs to happen over time is a real eye opener,” he said.

The transition compares to the U.S. shift from a largely agricultural to an industrial-services economy in the early 1900s forward. But this time, it’s not young people leaving farms, but mid-career workers who need new skills.

From DSC:
Higher education — and likely (strictly) vocational training outside of higher ed — is simply not ready for this! MAJOR reinvention will be necessary, and as soon as 2018 according to Forrester Research.

One of the key values that institutions of traditional higher education can bring to the table is to help people through this gut wrenching transition — identifying which jobs are going to last for the next 5-10+ years and which ones won’t, and then be about the work of preparing the necessary programs quickly enough to meet the demands of the new economy.

Students/entrepreneurs out there, they say you should look around to see where the needs are and then develop products and/or services to meet those needs. Well, here you go!

As a member of the International Education Committee, at edX we are extremely aware of the changing nature of work and jobs. It is predicted that 50 percent of current jobs will disappear by 2030.

Anant Agarwal, CEO and Founder of edX, and Professor of
Electrical Engineering and Computer Science at MIT
(source)

Addendum:

Automation threatens 800 million jobs, but technology could still save us, says report — from theverge.com by James Vincent
New analysis says governments need to act now to help a labor force in flux

Excerpt:

A new report predicts that by 2030, as many as 800 million jobs could be lost worldwide to automation. The study, compiled by the McKinsey Global Institute, says that advances in AI and robotics will have a drastic effect on everyday working lives, comparable to the shift away from agricultural societies during the Industrial Revolution. In the US alone, between 39 and 73 million jobs stand to be automated — making up around a third of the total workforce.

If a computer can do one-third of your job, what happens next? Do you get trained to take on new tasks, or does your boss fire you, or some of your colleagues? What if you just get a pay cut instead? Do you have the money to retrain, or will you be forced to take the hit in living standards?

WE ARE NOT READY FOR THIS! Per Forrester Research: In US, a net loss of 7% of jobs to automation — in 2018!

On 11/13/2017, in 21st century, 24x7x365 access, active learning, adult learning, Amazon, Apple, Artificial Intelligence/Agents/LLMs/and Related, Asia, Australia, bots, business, Canada, career development, change, collaboration, colleges, community colleges, corporate / business world, corporate universities / corporate training, credentialing, dangers of the status quo, Daniel S. Christian, data related items, digital learning, disruption, education reform, education technology, emerging technologies, Europe, Facebook / Meta Platforms, future, future of higher education, game-changing environment, global / globalization, Google, heutagogy, higher education, human-computer interaction (HCI), IBM, ideas, innovation, intelligent systems, intelligent tutoring, internet, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, legislatures / government / legal, lifelong learning, microlearning, Microsoft, more voice more choice more control, New "Amazon.com" of Higher Education, online learning, organizational change, pace of change, platforms, professional development, reinvent, research, robotics, second screen apps, society, staying relevant, strategy, streams of content, surviving, technologies for your home, the downsides of how people use tech, training / L&D, trends, UK, United States, universities, vendors, vision/possibilities, web-based collaboration, workplace, by Daniel Christian

Forrester predicts that AI-enabled automation will eliminate 9% of US jobs in 2018 — from forbes.com by Gil Press

Excerpt (emphasis DSC):

A new Forrester Research report, Predictions 2018: Automation Alters The Global Workforce, outlines 10 predictions about the impact of AI and automation on jobs, work processes and tasks, business success and failure, and software development, cybersecurity, and regulatory compliance.

We will see a surge in white-collar automation, half a million new digital workers (bots) in the US, and a shift from manual to automated IT and data management. “Companies that master automation will dominate their industries,” Forrester says. Here’s my summary of what Forrester predicts will be the impact of automation in 2018:

Automation will eliminate 9% of US jobs but will create 2% more.
In 2018, 9% of US jobs will be lost to automation, partly offset by a 2% growth in jobs supporting the “automation economy.” Specifically impacted will be back-office and administrative, sales, and call center employees. A wide range of technologies, from robotic process automation and AI to customer self-service and physical robots will impact hiring and staffing strategies as well as create a need for new skills.

Your next entry-level compliance staffer will be a robot.

From DSC:

**Are we ready for a net loss of 7% of jobs in our workforce due to automation — next year? Last I checked, it was November 2017, and 2018 will be here before we know it.**

Are we ready for this?!

AS OF TODAY, can we reinvent ourselves fast enough given our current educational systems, offerings, infrastructures, and methods of learning?

My answer: No, we can’t. But we need to be able to — and very soon!

There are all kinds of major issues and ramifications when people lose their jobs — especially this many people and jobs! The ripple effects will be enormous and very negative unless we introduce new ways for how people can learn new things — and quickly!

That’s why I’m big on trying to establish a next generation learning platform, such as the one that I’ve been tracking and proposing out at Learning from the Living [Class] Room. It’s meant to provide societies around the globe with a powerful, next generation learning platform — one that can help people reinvent themselves quickly, cost-effectively, conveniently, & consistently! It involves providing, relevant, up-to-date streams of content that people can subscribe to — and drop at any time. It involves working in conjunction with subject matter experts who work with teams of specialists, backed up by suites of powerful technologies. It involves learning with others, at any time, from any place, at any pace. It involves more choice, more control. It involves blockchain-based technologies to feed cloud-based learner profiles and more.

But likely, bringing such a vision to fruition will require a significant amount of collaboration. In my mind, some of the organizations that should be at the table here include:

Some of the largest players in the tech world, such as Amazon, Google, Apple, IBM, Microsoft, and/or Facebook
Some of the vendors that already operate within the higher ed space — such as Salesforce.com, Ellucian, and/or Blackboard
Some of the most innovative institutions of higher education — including their faculty members, instructional technologists, instructional designers, members of administration, librarians, A/V specialists, and more
The U.S. Federal Government — for additional funding and the development of policies to make this vision a reality

10 really hard decisions coming our way — from gettingsmart.com by Tom Vander Ark

Excerpt (emphasis DSC):

Things are about to get interesting. You’ve likely heard that Google’s DeepMind recently beat the world’s best Go player. But in far more practical and pervasive ways, artificial intelligence (AI) is creeping into every aspect of life–every screen you view, every search, every purchase, and every customer service contact.

What’s happening? It’s the confluence of several technologies–Moore’s law made storage, computing, and access devices almost free.

This Venn diagram illustrates how deep learning is a subset of AI and how, when combined with big data, can inform enabling technologies in many sectors. For examples, to AI and big data add:

Robotics, and you have industry 4.0.
Cameras and sensor package, and you have self-driving cars.
Sensors and bioinformatic maps, and you have precision medicine.

While there is lots of good news here–diseases will be eradicated and clean energy will be produced–we have a problem: this stuff is moving faster than civic infrastructure can handle. Innovation is outpacing public policy on all fronts. The following are 10 examples of issues coming at us fast that we (in the US in particular) are not ready to deal with.

Unemployment.
Income inequality.
Privacy
Algorithmic bias.
Access.
Machine ethics.
Weaponization.
Humanity.
Genome editing.
Bad AI.

From DSC:
Readers of this blog will know that I’m big on pulse-checking the pace of technological change — because it has enormous ramifications for societies throughout the globe, as well as for individuals, workforces, corporations, jobs, education, training, higher education and more. Readers of this blog will again hear me say that the pace of change has changed. We’re now on an exponential pace/trajectory (vs. a slow, steady, linear path).

“Innovation is outpacing public policy on all fronts.”

How true this is. Our society doesn’t know how to deal with this new pace of change. How shall we tackle this thorny issue?

Learning Ecosystems

How to research, model & map the future & develop strategies [Future Today Institute]

The Space Satellite Revolution Could Turn Earth into a Surveillance Nightmare [Ferreira]

“5 benefits of using AR & VR Technologies in eLearning,” “National Museum of Finland Offers Virtual Time Travel,” + 6 other items involving AR, VR, MR, and XR

Categories

Tags

Are we ready for a net loss of 7% of jobs in our workforce due to automation — *next year*? Last I checked, it was November 2017, and 2018 will be here before we know it.

***Are we ready for this?! ***

AS OF TODAY, can we reinvent ourselves fast enough given our current educational systems, offerings, infrastructures, and methods of learning?

My answer: No, we can’t. But we need to be able to — and very soon!

Categories

Tags

**Are we ready for a net loss of 7% of jobs in our workforce due to automation — next year? Last I checked, it was November 2017, and 2018 will be here before we know it.**

Are we ready for this?!