Radical Open Innovation News week 19-2019

Welcome to our biweekly selection of business IT innovation news. Created using our own opinionated selection and summary algorithm. We present some top innovation news items to get you thinking, debating and take action in order to make our world better.

1 The World in 2030: Nine Megatrends to Watch

The Intergovernmental Panel on Climate Change (IPCC) has made clear how critical it is to radically alter the path of carbon emissions to hold the world to 1.5 degrees Celsius of warming. I don’t usually play the futurist game — I’m more of a “presentist,” looking at the data we have right now on fast-moving megatrends that shape the world today. The fastest growing demographic will be the elderly, with the population of people over 65 years old at 1 billion by 2030. Predicting politics is nearly impossible, and it’s hard to imagine how global policy action on climate and other megatrends will play out. The results of climate change will be unrelenting.

(MIT Sloan Management Review)

2 Does AI-Flavored Feedback Require a Human Touch?

But does AI-flavored feedback require a human touch to measurably improve its impact? Who owns the feedback? IBM’s digital journey offers a superb case study in confronting these performance management challenges. Digital tools and technologies are now relentlessly and remorselessly transforming how performance management works. In other words, IBM gets feedback on feedback. Organizations committed to state-of-the-art talent management are revisiting the role managers should play in delivering, facilitating, and/or curating employee feedback.

(MIT Sloan Management Review)

3 Breaking news on Wikipedia: collaborating, collating and competing

When a major global news event occurs, such as the Easter bombings in Sri Lanka or the March shootings in New Zealand, Wikipedia contributors from around the world come together in a virtual newsroom to craft a narrative, followed closely by readers seeking the latest information. In any given month, the site’s most popular articles — both in number of views and number of edits — are those reporting breaking news. Wikipedia’s protocols of ‘no original research’ mean the contributors must draw on the work of journalists, collating and re-purposing what has been published online. Taking as a case study the 2014 Sydney hostage crisis this paper analyzes Wikipedia’s breaking news practices and the ways the Internet is changing perceptions of news.

(First Monday)

4 New Research on How Anonymity is Perceived in Open Collaboration

We analyzed discussions about anonymous contributors on publicly available logs of the English language Wikipedia mailing list from 2010 to 2017. On the other hand, research has shown that many Internet users seek out anonymity to protect their privacy while contributing things of value. This makes sense given that newbies are the lifeblood of open collaboration communities. They imagined that anonymous contributors who wanted to remain in the community would eventually become full participants by registering for an account and creating an identity on the site. This assumption was evident in policies and technical features of collaboration platforms that barred anonymous contributors from participating in discussions, receiving customized suggestions, or from contributing at all in some circumstances.

(Planet Ubuntu)

5 Cool things to check out at Microsoft Build 2019

Microsoft Build is underway in Seattle, and this year’s premier developer conference is focused on empowering developers of all kinds, from experienced computer scientists to tech beginners with big ideas. One of the greatest challenges customers face when deploying Internet of Things solutions broadly is connecting their IoT devices to the cloud. IoT Plug and Play offers a new open modeling language to help make this happen seamlessly, as well as a large ecosystem of partner-certified devices that simply work, with over a dozen certified devices now available. We’re showcasing a calendaring application of the technology that can make organizing your day with an intelligent assistant a more natural and powerful experience, and the same technology will eventually be integrated into our conversational AI moving forward across all of Microsoft’s products and services.


6 Unleashing Innovation With Collaboration Platforms

Demand for collaboration platforms is already at an all-time high, particularly with the proliferation of SaaS-based subscription models. Our results suggest there are two key factors or challenges that affect how much of a benefit teams get from collaboration platforms. We conducted a study of over 600 team members, team coordinators, and managers who use collaboration platforms. As the race to support team innovation rages on, businesses should focus more on how their distributed teams orchestrate collaboration and the conditions team leaders create. The first factor is how well the collaboration platform supports activities needed to integrate team knowledge, despite geographically different locations.

(MIT Sloan Management Review)

7 The Limits Of Energy Harvesting

“And if you do burn a lot of energy, then energy harvesting will not work. “It isn’t going anywhere fast if you’re looking at energy harvesting with comb-like, capacitor-like structures or vibration harvesting. “Fundamentally, energy harvesting is a technology with a limited use envelope,” said Jeff Miller, product marketing manager at Mentor, a Siemens Business. “If you’re not burning a lot of energy, there is no need for energy harvesting,” Gert Jørgensen, senior vice president of sales and marketing for Delta’s ASIC Division. Energy harvesting technology is big.

(Semiconductor Engineering)

8 Break free from desktop book production

Built on JavaScript with a standards-based approach, Editoria’s technology infrastructure gives publishers interoperable tools. Its modular, code base can be integrated with existing systems or expanded to meet your specific workflows. All with no vendor lock-in. Editoria is an open source project built on the Pubsweet framework from the Coko Foundation.


9 Beam: A distributed knowledge graph store

Beam is the result of four person-years of exploration and engineering effort. Beam is a distributed knowledge graph store, sometimes called an RDF store or a triple store. Knowledge graphs are suitable for modeling data that is highly interconnected by many types of relationships, like encyclopedic information about the world. A knowledge graph store enables rich queries on its data, which can be used to power real-time interfaces, to complement machine learning applications, and to make sense of new, unstructured information in the context of the existing knowledge. And yes: This is an eBay OSS product. Check out the repro on github, and read the full blog for more info.


The Radical Open Innovation biweekly overview is a brief overview of innovation news on Digital Innovation and Management Innovation from all over the world. Your input for our next edition is welcome! Send it to [info] at [bm-support]dot[org]