The most audacious commitment from Microsoft is its push to take carbon out of the atmosphere. The company is putting its faith in nascent technology, and it’s injecting a significant investment into a still controversial climate solution. Proponents of carbon capture, like Friedmann, say that the technology is mature enough to accomplish Microsoft’s aims. It’s just way too expensive right now. Microsoft’s backing — and its $1 billion infusion of cash — could ultimately make the tech cheaper and more appealing to other companies looking for new ways to go green.
Fantastic news. Carbon capture is a key opportunity for decelerating climate change. Hopefully more companies follow suit.
A surprising headline, but the restriction is very specific:
the new export ban is extremely narrow. It applies only to software that uses neural networks (a key component in machine learning) to discover “points of interest” in geospatial imagery; things like houses or vehicles. The ruling, posted by the Bureau of Industry and Security, notes that the restriction only applies to software with a graphical user interface — a feature that makes programs easier for non- technical users to operate.
Still, this is probably a marker of change to come. It’s a little odd to think of software as something that can be “exported”, however. Surely this isn’t a ban on shipping discs across a border. Software is downloaded. So, is this a kind of firewall?
Dr. Ngumbi and Dr. Lovett outline the issues with modern research conferences that are stuck in the 20th (or even 19th) century.
By the end of each conference, you’ve heard dozens of people dispense all their knowledge in 10-minute bursts, and you sometimes leave feeling less informed than before you arrived. Where’s the dialog? Where’s the questioning? Where’s the innovation? It’s beyond time that scientific conferences themselves undergo the scientific process, and move forward.
I shouldn’t ever be surprised by these events, but every time I go to one, I am shocked by how boring the facilitation is. Some might defend the format. After all, sage-on-a-stage has worked for hundreds of years.
The question isn’t whether it works, though. It’s whether it could be better. Surely, in an age of cloud technologies and the Internet and social media—not to mention better recognition of soft power and inclusivity and the processes of scientific revolution—there are modes of conference programming that can leapfrog the conventional format.
Having led a number of events over the years that have shirked tradition for more interesting facilitation formats, I know firsthand how disruptive facilitation mistakes can be. But I’ve also seen some incredible results from shaking up the structure. Radhoc’s Unpanel, for instance, turns the structure of a panel upside-down. Instead of having a group of “experts” on a stage speaking to an anonymous crowd, the format puts those invited guests in subgroups that get to introduce one another. The audience becomes the panel, and the expert an anchor in the conversation. It gives everyone a chance to connect with the quasi-celebrities anointed by these events. As a bonus, it’s easier for the guests, too—they don’t need to prepare keynotes, only business cards.
Bohn and his co-founders are confident that, if done right, a proper system for wireless power transmission could shift not just how we think about keeping devices charged and powered on at all times, but also the types of devices we end up putting in our homes and what those devices get used for.
I’d say. If this works, it’ll remove a technical limitation that is pretty built-in to our mental models of how our gadgets work.
Guru is envisioning a world where you can keep all manner of battery-powered gadgets, big and small, all over your home or in every corner of an office, store, or warehouse without having to worry about where they draw power from or how long it lasts on a charge.
Eliminating the “where will I plug it in?” assumption might unlock opportunities across all ways of living and working.
Segwayʼs newest self-balancing vehicle wonʼt require you to stand up. Dubbed the S- Pod, the new egg- shaped two-wheeler from Segway-Ninebot is meant to let people sit while they effortlessly cruise around campuses, theme parks, airports, and maybe even cities.
Hmm. At least with self-balancing, this won’t happen:
Twitter is funding a small independent team of up to five open source architects, engineers, and designers to develop an open and decentralized standard for social media. The goal is for Twitter to ultimately be a client of this standard. 🧵
The thread is worth the read, as are some of the comments. There’s a few interesting resources shared within, including a couple of articles from Jack and a few existing open standards.
Every part of this trial sounds made up. They should just air it in lieu of a Good Fight episode. Elizabeth Lopatto’s writeup is worth worshipping.
Spiro then coined the worst acronym I’ve heard in years, and I edit stories about aerospace so I know from bad acronyms. It is: JDART, for joking, deleted, apologized-for, responsive tweets.
But there’s at least one abstract takeaway that’s interesting to me:
At this point, Wood tried to enter an email exchange into evidence, resulting in a great deal of confusion on Judge Wilson’s part about how email reply chains work. (You read from the bottom.)
At this point, the “pedo guy” Twitter thread was entered into evidence, and the befuddled court had to be told that the reply chains work the other way on Twitter — the first tweet is at the top, and the last tweet is at the bottom.
Yet another example of the ways in which the world’s accelerating faster than many institutions can keep up.
Anyone, anywhere can propose an idea. YouTube creators will help spread the word, and the best proposals could be put into motion with the help of businesses, policymakers, and and celebrities supporting the initiative.
The initiative will culminate in a summit in Bergen, Norway next October to share the solutions that came out of the effort. Countdown will work with a panel of experts and scientists to vet proposals, and the strongest will be turned into TED talks. The talks will be filmed at the summit in Norway, in front of “a hand-picked audience capable of turning those ideas into action,” according to a press release.
An interesting partnership, and yet another example of “crowdsolving”: trying to find solutions to wicked problems via the mobilizing power of the Internet.
In this research article, the authors point out that the cycles of translation from English to the language of the context and back again can be costly and inconvenient. But, they point out three benefits to investing in translation and multi-lingual research spaces.
First, the authors argue that disseminating the results of research in local languages not only makes your research accessible to stakeholders, but it also helps stakeholders value all research more. They write:
Translations are expensive and time-consuming, so a large part of our work stays in English unavailable to the local stakeholders, who may have participated in the research process. This is an issue not only because it reduces their possibilities to learn from the systematized outcomes of the processes in which they participate, but because it reduces their perception of the value of research. When stakeholders feel that researchers write exclusively for other foreign researchers, their readiness to support and fund research may decrease.
The second benefit:
Second, academics who don’t read English may find it difficult to continue building on knowledge published only in that language.
This takeaway is obvious. So many publications are translated to English, but the reverse is rare.
Third, and by no means least, naming complex issues or ideas only in English impoverishes other languages. When we forsake finding a word for a particular concept or idea in a given language, we impoverish that language.
This is quite insightful. Language is intrinsic to organizational learning. If the concepts advanced in our research are never introduced to the local language, then it may be impossible for that learning to take root.
The authors recognize a fascinating tension in this work. They demonstrated the possibility of multi-language research spaces via a virtual research commons for their project.
What we have learned from working with different languages and acknowledging them during the full research cycle, including the dissemination stage, is that they are time- consuming, costly and even a bit messy and uncomfortable. For example, in the case of the virtual space above, some participants complained that having to find their own language among texts written in other languages begs an extra effort from them and slows them down. However, the alternative is renouncing inclusion and plurality, which is at odds with the challenge faced by academia to address complex societal problems.
There is a cost to complexity, but solution spaces need to be more complex than the problems they’re resolving.1
Chinaʼs 2017 decision to turn away Americaʼs trash has left the recycling industry reeling as it figures out what to do with all the packaging online shoppers leave behind.
Recycling is a funny thing. For me, it’s almost a guilt-free act. “Sure, I’m using all of these boxes, but they’re recycled, so who cares?” But increasingly recycling and the trash bin seem like equivalent destinations. It’s even imaginable that recycling is worse, because recycled objects might travel farther before being dumped into a landfill anyway.
“Itʼs very difficult for American material recovery facilities to satisfy that standard because Americans put plastic bags and chewing gum and bowling balls and dirty diapers and everything else you can imagine into the recycling containers,” Biderman says. The strict rules also apply to plastic and other recyclables, but cardboard and mixed paper have seen the sharpest drops in prices.
I’m tempted to blame people: “It’s too bad we can’t be more considerate. Have you ever looked in the recycling bins in public receptacles?” Et cetera. But really, we should be designing systems that make this easy—or incentivize good behaviours somehow. Either way, the current situation is insufficient:
There has also been a noticeable shift in the source of the cardboard, says Coupland: itʼs coming from peoplesʼ homes instead of brick-and-mortar businesses. Thatʼs bad news, since retailers are less likely to generate cardboard thatʼs too filthy to be recycled. Consumersʼ cardboard boxes are often mixed with other, dirty recyclables like ketchup bottles or soda cans that spill their contents over the cardboard. On average, about 25 to 30 percent of the materials picked up by a recycling truck are too contaminated to go anywhere but a landfill or incinerator, Coupland says.
Today former Secretary of State John Kerry and former California governor Arnold Schwarzenegger declared war on climate change. The two led an all-star cast of lawmakers and celebrities to launch an initiative called World War Zero, which aims to get individuals, businesses, and governments to drastically slash greenhouse gas emissions. The initiative, for now, boasts a lot of glitzy names without many details on how it will achieve its goal. Its bipartisan founding members — which include Bill and Hillary Clinton, Richard Branson, Jimmy Fallon, Cindy McCain, and Al Sharpton, and more than 70 other notable names — plan to hold 10 million “climate conversations” in 2020, The New York Times reported over the weekend.
Seems like an incredible effort. And it’s an excellent angle. “War”—when declared by major public figures—certainly catches the public attention.
Kerry compared the urgency of climate change to the challenges facing America during World War II. “When America was attacked in World War II we set aside our differences, united and mobilized to face down our common enemy,” Kerry said in a statement. “We are launching World War Zero to bring that spirit of unity, common purpose, and urgency back to the world today to fight the great threat of our time.”
Existing options for algorithmic evaluation of the similarity of documents depend on shallow measures: does this word seem important? What words is it used with? How frequent are they? Which is why this is cool—in this paper, the authors compare the language in a given document with broader knowledge of words and their synonyms:
In this paper, the Frequency Google Tri-gram Measure is proposed to assess similarity between documents based on the frequencies of terms in the compared documents as well as the Google n-gram corpus as an additional semantic similarity source.
And it works!
The experimental results demonstrate that the proposed measure improves significantly the quality of document clustering, based on statistical tests. We further demonstrate that clustering results combining bag-of-words and semantic similarity are superior to those obtained with either approach independently
One issue identified on an unnamed carrierʼs implementation could allow any app on your phone to download your RCS configuration file, for example, giving the app your username and password and allowing it to access all your voice calls and text messages. In another case, the six-digit code a carrier uses to verify a userʼs identity was vulnerable to being guessed through brute force by a third-party. These problems were found after researchers analyzed a sample of SIM cards from several different carriers.
RCS is supposed to be a big deal. It’s fascinating how these system-wide policies can be messed up in microsystem implementations.
This report is intentionally broad and robust. We have included a list of adjacent uncertainties, a detailed analysis of 315 tech trends, a collection of weak signals for 2020, and more than four dozen scenarios describing plausible near futures.
Impressive work. I particularly like the CIPHER heuristic they use in analysis signals: contradictions, infections, practices, hacks, extremes, rarities.
Medical crowdsourcing offers hope to patients who suffer from complex health conditions that are difficult to diagnose. Such crowdsourcing platforms empower patients to harness the “wisdom of the crowd” by providing access to a vast pool of diverse medical knowledge.
An interesting application of crowdsourcing. What’s the incentive for healthcare providers to participate, though? I’m not sure doctors can bill for participation in Figure 1. I think the main reason they engage at all is curiosity, and that would likely degrade if, as the authors of the linked study discuss, there was a lot of “noise” from uninteresting posts by patients who aren’t medically literate.
Today, we’re excited to formally launch the final version of OPSI’s AI primer: Hello, World: Artificial Intelligence and its Use in the Public Sector
Another interesting output from the OPSI. It seems usefully pragmatic:
The AI primer is broken up into four chapters that seek to achieve three key aims: (1) Background and technical explainer; (2) overview of the public sector landscape; (3) implications and guidance for governments.
We find that high-, medium-, and low-engagement-state gamers respond differently to motivations, such as feelings of effectance and need for challenge. In the second stage, we use the results from the first stage to develop a matching algorithm that learns (infers) the gamer’s current engagement state “on the fly” and exploits that learning to match the gamer to a round to maximize game-play. Our algorithm increases gamer game-play volume and frequency by 4%–8% conservatively, leading to economically significant revenue gains for the company.
As ever with this kind of mechanism, are we sure we want this to exist..? The potential is no doubt powerful. Imagine interactive TV shows that modulate what they’re presenting based on readings of the viewer… Hrm.
The halo effect is essentially how positive—but irrelevant—traits influence our perception of what the thing with the halo actually says or does. These authors explored how charities manifest the halo effect on their websites, and find evidence for four varieties of halo effect.
this study employs charity websites as a multi-attribute donation channel consisting of three attributes of information content quality (mission information, financial information, and donation information) and four attributes of system quality (navigability, download speed, visual aesthetics, and security). Based on the proposed framework, this study proposes four types of halos that are relevant to charity website evaluation —collective halo (attribute-to-attribute), aesthetics halo (attribute-to- dimension), reciprocal-quality halo (dimension-to-dimension), and quality halo (dimension-to-dimension)
One of the core issues of the talk is innovation doubt—the “if it ain’t broke, don’t fix it” mentality. To paraphrase Piret:
[…] why are we doing innovation at all? Maybe sometimes things are working fine, why do we think about innovation at all? We start off with four questions:
- Do you want to do things better?
- Do you have goals and purposes to fulfill?
- Do you want to address the needs of your stakeholders?
- Do you want to prepare for the risks and uncertainties that the future holds? If you answered “yes” to at least one of those questions, then your job is to do innovation—your job is to be a changemaker.
Also, the talk includes a neat model for different varieties of innovation, image courtesy of this post by Adrian M. Senn over on Medium:
In the next three years, as many as 120 million workers in the world’s 12 largest economies may need to be retrained or reskilled as a result of Artificial Intelligence (AI) and intelligent automation.
cf. Lee Se-Dol.
This is according to the latest IBM Institute for Business Value (IBV) study, titled The Enterprise Guide to Closing the Skills Gap.
Seems like an interesting guide. This metric surprised me:
In 2014, it took three days on average to close a capability gap through training in the enterprise. In 2018, it took 36 days.
I didn’t know this measure existed, but I can see the utility. As knowledge work grows ever more specialized, this time-to-capability can only grow.