Monthly Archives: April 2020

Anyone’s a Celebrity Streamer With This Open Source App – WIRED

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Live streaming is booming. People spent 1.2 billion hours watching Twitch in the first quarter of 2020, according to analytics company StreamHatchet and streaming software company Streamlabs. Time spent viewing the live-streaming service, a unit of Amazon, jumped 23 percent from February to March, and the number of unique Twitch channels increased 33 percent over the previous quarter. Other live streaming platforms like YouTube, Facebook, and Microsoft's Mixer also saw more use.

It's not just video games. People host live cooking shows. Musicians are live streaming concerts. Programmers use Twitch streams as a way to swap tips.

"I think it's a great time to try streaming," says Justin Turner, a digital marketer in Portland, Oregon, who just started a new live streaming talk show about Dungeons and Dragons and other tabletop games. "It's a great way to interact with people. Just knowing some of my friends are watching and chatting really helps with social distancing."

Like many other streamers, Turner uses a video streaming and recording application called Open Broadcaster Software Studio, which unlike commercial options like Camtasia, is free and open source.

Twitch offers its own free streaming software thats easier for beginners, but OBS Studio users say they prefer the app for its advanced features and how much it can be customized. "It's still relatively easy to use but there's a lot of tinkering you can do if you're into that sort of thing," says Turner.

The app is also useful for people who don't live stream. Bastian Bechtold teaches computer science at Jade University in Germany, and like many teachers around the world, is producing video lessons for his students. He turned to OBS Studio to record lessons because the app makes it easy to hide and unhide parts of his screen, which enables him to show students a problem and then unveil the solution without doing any video editing, saving time. "I came into this not knowing what was possible, and OBS works really well," he says. "Even a complex setup was fairly straightforward to create."

OBS Studio creator Hugh "Jim" Bailey estimates that the software is probably used by tens of millions of people, based on the number who download updates. The pandemic has likely doubled interest in the tool, Bailey says, with about 320,000 unique visitors a day now coming to the OBS Studio website. That's not counting variants of OBS Studio like Streamlabs OBS, which is based on the original project's code but developed separately. Streaming platforms Twitch, Facebook, and YouTube include links to OBS Studio in their resources for live streamers.

Bailey created OBS Studio in 2012 after years trying to break into the video game development industry to no avail. "It didn't work out," he says. "The industry is way too competitive and brutal. I was 30 years old and living with my father, and needed to try something new."

Bailey was a fan of Starcraft and loved watching people play the game on Twitch. He wanted to start his own Starcraft live stream, but couldn't find any free and open source live streaming tools. "I was the sort of person who would build his own tools just for fun," he says. "I thought it was a cool opportunity to do open source for the first time because I really loved open source software."

Bailey developed a prototype of OBS Studio and posted it to Reddit and a Starcraft forum. Soon other programmers were pitching in to help develop the software.

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Anyone's a Celebrity Streamer With This Open Source App - WIRED

SAS sounds a warning on open source governance – ITWeb

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Akesh Lalla, SAS SA country manager.

While open source has become the de facto software development methodology for most organisations today, businesses should ensure that doing so will not compromise their ability to meet regulatory requirements.

Thats the warning from Akesh Lalla, country manager of business analytics company SAS, who acknowledges that the embrace of open source is a business imperative for most businesses, particularly those that want to remain agile and responsive. As a result, an increasing number of analytical models were being developed in open source.

However, developing the software is only part of the equation. A possibly greater challenge lies in taking that software into production, particularly in an increasingly stringent regulatory environment. South Africa is no exception to this, where, according to Lalla, the regulatory environment especially in the financial sector is becoming tighter and more challenging.

Its important to be able to see right through your entire data lineage, to know how the data has changed and how AI inside the model has impacted the results and outputs. When the regulator asks those questions, organisations must be in a position to answer; regulators expect companies to provide the appropriate levels of traceability and auditability, he says.

Lalla maintains that open source software development does not always enable this level of transparency, accountability, governance and, ultimately, trust.

People entrust organisations with their data. It is therefore essential that the organisation has mechanisms in place to meet these expectations. In addition, they have to develop and maintain an internal organisational moral compass for protecting the agreed upon use of the data.

A hybrid approach of combining both open source and proprietary software is the most effective way to combine rapid development with deployment at scale, and reliability in model management.

Controls are also necessary to provide trust in the data. Businesses have to trust that the results of models are accurate and that those models will continue to perform into the future. Transparency, governance and security are all essential components, and they become even more critical when organisations scale their efforts, he adds.

All this, he explains, can be summed up in what SAS refers to as digital guardianship.

Given the potential frailty of open source in the area of digital guardianship, Lalla believs that a hybrid approach of combining both open source and proprietary software is the most effective way to combine rapid development with deployment at scale, and reliability in model management.

SAS, which has embraced open source and developed an open platform that supports and accelerates the entire end-to-end analytics life cycle, therefore believes that a hybrid approach of combining open source with proprietary software could deliver the best of both worlds proprietary for the required digital guardianship, and open source for agility, innovation and responsiveness.

Robust end-to-end data science platforms benefit any company working with data at scale. Its imperative to work with products that allow data scientists to write code and build models in any analytic programming language of their choice, but deploy and run them in a controlled, enterprise-grade environment with full end-to-end traceability, Lalla concludes.

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FOXO BioScience, Formerly Known as Life Epigenetics, Announces New Infinium Mouse Methylation Array in Strategic Collaboration with Van Andel…

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MINNEAPOLIS, April 10, 2020 /PRNewswire/ -- FOXO BioScience today announced the completion of an agreement to bring DNA methylation-based testing services of laboratory mice to the scientific research community.

FOXO BioScience Logo (PRNewsfoto/FOXO BioScience)

FOXO collaborated with Van Andel Institute (VAI) to identify target regions of the mouse methylome and fund the production of a mouse DNA methylation array using Illumina as a technology provider. This array will allow scientists to more broadly research epigenetics in their investigative work.

"I am extremely excited that a cost-effective mouse DNA methylation array is finally becoming available," said Dr. Peter W. Laird, a professor at Van Andel Institute's Center for Epigenetics and co-developer of the array content. "The past decade has witnessed an explosion in our understanding of the role of DNA methylation in human health and disease, thanks to the availability of Infinium DNA Methylation Arrays. Advances in mouse epigenetics have suffered from the lack of similar tools for mice."

Until now, scientists have not had DNA methylation array technology available to support their research efforts into precision-based diagnostic and therapeutic medicine in model organisms such as mice. FOXO expects that the Infinium Mouse Methylation Array will lead to a significant expansion of the basic science of epigenetics, thereby fueling innovation in further technology development and scientific knowledge. The Infinium Mouse Methylation Array provides scientists with proof-of-concept tools for future studies in humans.

According to Jon Sabes, CEO and founder of FOXO: "We expect the Infinium Mouse Methylation Array to significantly enhance DNA methylation-based research and as a result an expansion in the use of epigenetic biomarkers for diagnostic screening and precision-based therapeutics of health, wellness, disease, and aging. We believe this needed expansion in epigenetic research will prove transformative for improving human healthspan and increasing lifespan."

In addition to providing the scientific community with mouse DNA methylation array testing services, FOXO has released several open source bioinformatics software packages to epigenetics researchers worldwide. The software is facilitating scientific breakthroughs by simplifying and automating the laborious preprocessing, quality control and analysis steps commonly involved in the analysis of complex DNA methylation data.

When paired with FOXO's robust open source software suite, this highly anticipated mouse DNA methylation array will provide an affordable solution that enables researchers to perform large-scale epigenetic studies for therapeutic interventions, differences across tissues and cell types, longitudinal changes, intergenerational transmission of heritable traits, and stimulate human epigenetic research. For product specifications, download the Infinium Mouse Methylation Array product sheetorsign up to reserve Infinium Mouse Methylation Arraytesting services athttps://foxobioscience.com/get-spec-sheet/.

About FOXO

FOXO BioScience LLC ("FOXO"), is the leader in commercializing epigenetic testing services and technology. Through a series of partnerships and collaborative relationships, FOXO is developing cutting-edge molecular biology insights for commercial applications that support scientific research, groundbreaking discoveries, and disruptive business initiatives. FOXO offers high throughput laboratory services, bioinformatics, and epigenetic signature discovery to researchers and businesses involved in health, wellness, disease and aging. For more information about FOXO, visit http://www.FoxoBioScience.com or email PR@FoxoBioScience.com.

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Microsoft is making it a lot easier to access Linux files in Windows 10 – PC Gamer

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Contrary to what some people might think, Windows 10 and Linux are not sworn enemies. Sure, there is a big difference between proprietary and open source software, but for people who run both operating systems, Microsoft is adding a neat feature to Windows 10Linux file integration into File Explorer (see image above).

Microsoft is essentially building on its plan to jam a full Linux kernel in Windows 10, as it previously announced. Users have been able to access Linux files in Explorer since the May 2019 update (Windows 10 version 1903), but the feature being tested right now adds a Linux icon (Tux) in the left-hand navigation pane of Explorer if you have Windows Subsytem for Linux, or WSL, installed.

It's a subtle change, and also a welcome one. Previously, users would have to open up their Linux distro, make sure the current folder was in their Linux home directory, then type 'explorer.exe' to open a File Explorer window containing their Linux files.

In this new implementation, clicking on the Linux icon will bring up a view of the available Linux distros. When you click on one, it will place you in the Linux root file system for that particular distro. Easy-cheesy.

Microsoft rolled out the feature to its newest preview build (19603) for Windows Insiders who are subscribed to the Fast ring. Assuming all goes well, this should end up in the next big update to Windows 10 (20H1).

It's not clear when 20H1 will roll out, other than sometime in the first half of the year, barring a delay. Microsoft has committed to releasing two major feature updates to Windows 10 each year, in addition to the cumulative security updates that arrive on Patch Tuesdaythe second Tuesday of every month.

In addition to better Linux integration, the 20H1 release is expected to add support for third-party widgets to the Windows 10 Game Bar, starting with ones from Intel, Razer, and XSplit.

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Microsoft is making it a lot easier to access Linux files in Windows 10 - PC Gamer

How Will the Emergence of 5G Affect Federated Learning? – IoT For All

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As development teams race to build outAI tools, it is becoming increasingly common to train algorithms on edge devices. Federated learning, a subset of distributed machine learning, is a relatively new approach that allows companies to improve their AI tools without explicitlyaccessing raw user data.

Conceived byGoogle in 2017, federated learning is a decentralized learning model through which algorithms are trained on edge devices. In regard to Googles on-device machine learning approach, the search giant pushed their predictive text algorithm to Android devices, aggregated the data and sent a summary of the new knowledge back to a central server. To protect the integrity of the user data, this data was eitherdelivered via homomorphic encryption or differential privacy, which is the practice of adding noise to the data in order to obfuscate the results.

Generally speaking, with federated learning, the AI algorithm is trained without ever recognizing any individual users specific data; in fact, the raw data never leaves the device itself. Only aggregated model updates are sent back. These model updates are thendecrypted upon delivery to the central server. Test versions of the updated model are then sent back to select devices, and after this process is repeated thousands of times, the AI algorithm is significantly improvedall while never jeopardizing user privacy.

This technology is expected to make waves in the healthcare sector. For example, federated learning is currently being explored by medical start-up Owkin. Seeking to leverage patient data from several healthcare organizations, Owkin uses federated learning to build AI algorithms with data from various hospitals. This can have far-reaching effects, especially as its invaluable that hospitals are able to share disease progression data with each other while preserving the integrity of patient data and adhering to HIPAA regulations. By no means is healthcare the only sector employing this technology; federated learning will be increasingly used by autonomous car companies, smart cities, drones, and fintech organizations. Several other federated learning start-ups are coming to market, includingSnips,S20.ai, andXnor.ai, which was recently acquired by Apple.

Seeing as these AI algorithms are worth a great deal of money, its expected that these models will be a lucrative target for hackers. Nefarious actors will attempt to perform man-in-the-middle attacks. However, as mentioned earlier, by adding noise and aggregating data from various devices and then encrypting this aggregate data, companies can make things difficult for hackers.

Perhaps more concerning are attacks that poison the model itself. A hacker could conceivably compromise the model through his or her own device, or by taking over another users device on the network. Ironically, because federated learning aggregates the data from different devices and sends the encrypted summaries back to the central server, hackers who enter via a backdoor are given a degree of cover. Because of this, it is difficult, if not impossible, to identify where anomalies are located.

Althoughon-device machine learning effectively trains algorithms without exposing raw user data, it does require a ton of local power and memory. Companies attempt to circumvent this by only training their AI algorithms on the edge when devices are idle, charging, or connected to Wi-Fi; however, this is a perpetual challenge.

As 5G expands across the globe, edge devices will no longer be limited by bandwidth and processing speed constraints.According to a recentNokia report, 4G base stations can support 100,000 devices per square kilometer; whereas, the forthcoming 5G stations will support up to 1 million devices in the same area.Withenhanced mobile broadband and low latency, 5G will provide energy efficiency, while facilitating device-to-device communication (D2D). In fact, it is predicted that 5G will usher in a 10-100x increase in bandwidth and a 5-10x decrease in latency.

When 5G becomes more prevalent, well experience faster networks, more endpoints, and a larger attack surface, which may attract an influx of DDoS attacks. Also, 5G comes with a slicing feature, which allows slices (virtual networks) to be easily created, modified, and deleted based on the needs of users.According to aresearch manuscript on the disruptive force of 5G, it remains to be seen whether this network slicing component will allay security concerns or bring a host of new problems.

To summarize, there are new concerns from both a privacy and a security perspective; however, the fact remains: 5G is ultimately a boon for federated learning.

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How Will the Emergence of 5G Affect Federated Learning? - IoT For All

Its Time to Improve the Scientific Paper Review Process But How? – Synced

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Head image courtesy Getty Images

The level-headed evaluation of submitted research by other experts in the field is what grants scientific journals and academic conferences their respected positions. Peer review determines which papers get published, and that in turn can determine which academic theories are promoted, which projects are funded, and which awards are won.

In recent years however peer review processes have come under fire especially from the machine learning community with complaints of long delays, inconsistent standards and unqualified reviewers.

A new paper proposes replacing peer review with a novel State-Of-the-Art Review (SOAR) system, a neoteric reviewing pipeline that serves as a plug-and-play replacement for peer review.

SOAR improves scaling, consistency and efficiency and can be easily implemented as a plugin to score papers and offer a direct read/dont read recommendation. The team explain that SOAR evaluates a papers efficacy and novelty by calculating the total occurrences in the manuscript of the terms state-of-the-art and novel.

If only a solution were that simple but yes, SOAR was an April Fools prank.

The paper was a product of SIGBOVIK 2020, a yearly satire event of the Association for Computational Heresy and Carnegie Mellon University that presents humorous fake research in computer science. Previous studies have included Denotational Semantics of Pidgin and Creole, Artificial Stupidity, Elbow Macaroni, Rasterized Love Triangles, and Operational Semantics of Chevy Tahoes.

Seriously though, since 1998 the volume of AI papers in peer-reviewed journals has grown by more than 300 percent, according to the AI Index 2019 Report. Meanwhile major AI conferences like NeurIPS, AAAI and CVPR are setting new paper submission records every year.

This has inevitably led to a shortage of qualified peer reviewers in the machine learning community. In a previous Synced story, CVPR 2019 and ICCV 2019 Area Chair Jia-Bin Huang introduced research that used deep learning to predict whether a paper should be accepted based solely on its visual appearance. He told Synced the idea of training a classifier to recognize good/bad papers has been around since 2010.

Huang knows that although his model achieves decent classification performance it is unlikely to ever be used in an actual conference. Such analysis and classification might however be helpful for junior authors when considering how to prepare for their paper submissions.

Turing awardee Yoshua Bengio meanwhile believes the fundamental problem with todays peer review process lies in a publish or perish paradigm that can sacrifice paper depth and quality in favour of speedy publication.

Bengio blogged on the topic earlier this year, proposing a rethink of the overall publication process in the field of machine learning, with reviewing being a crucial element to safeguard research culture amid the fields exponential growth in size.

Machine learning has almost completely switched to a conference publication model, Bengio wrote, and we go from one deadline to the next every two months. In the lead-up to conference submission deadlines, many papers are rushed and things are not checked properly. The race to get more papers out especially as first or co-first author can also be crushing and counterproductive. Bengio is strongly urging the community to take a step back, think deeply, verify things carefully, etc.

Bengio says he has been thinking of a potentially different publication model for ML, where papers are first submitted to a fast turnaround journal such as the Journal of Machine Learning Research for example, and then conference program committees select the papers they like from the list of accepted and reviewed (scored) papers.

Conferences have played a central role in ML, as they can speed up the research cycle, enable interactions between researchers, and generate a fast turnaround of ideas. And peer-reviewed journals have for decades been the backbone of the broader scientific research community. But with the growing popularity of preprint servers like arXiv and upcoming ML conferences going digital due to the COVID-19 pandemic, this may be the time to rethink, redesign and reboot the ML paper review and publication process.

Journalist: Yuan Yuan & Editor: Michael Sarazen

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Its Time to Improve the Scientific Paper Review Process But How? - Synced

Infragistics Adds Predictive Analytics, Machine Learning and More – Patch.com

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Infragistics is excited to announce a major upgrade to its embedded data analytics software, Reveal. In addition to its fast, easy integration into any platform or deployment option, Reveal's newest features address the latest trends in data analytics: predictive and advanced analytics, machine learning, R and Python scripting, big data connectors, and much more. These enhancements allow businesses to quickly analyze and gain insights from internal and external data to sharpen decision-making.

Some of these advanced functions include:

Outliers DetectionEasily detect points in your data that are anomalies and differ from much of the data set.

Time Series ForecastingReveal will make visual predictions based on historical data and trends, useful in applications such as sales and revenue forecasting, inventory management, and others.

Linear RegressionReveal finds the relationship between two variables and creates a line that approximates the data, letting you easily see historical or future trends.

"Our new enhancements touch on the hottest topics and market trends, helping business users take actions based on predictive data," says Casey McGuigan, Reveal Product Manager. "And because Reveal is easy to use, everyday users get very sophisticated capabilities in a powerfully simple platform."

Machine Learning and Predictive Analytics

Reveal's new machine learning feature identifies and visually displays predictions from user data to enable more educated business-decision making. Reveal reads data from Microsoft Azure and Google BigQuery ML Platforms to render outputs in beautiful visualizations.

R and Python Scripting

R and Python are the leading programming languages focused on data analytics. With Reveal support, users such as citizen data scientists can leverage their knowledge around R and Python directly in Reveal to create more powerful visualizations and data stories. They only need to paste a URL to their R or Python scripts in Reveal or paste their code into the Reveal script editor.

Big Data Access

With support for Azure SQL, Azure Synapse, Goggle Big Query, Salesforce, and AWS data connectors, Reveal pulls in millions of records. And it creates visualizations fastReveal's been tested with 100 million records in Azure Synapse and it loads in a snap.

Additional connectors include those for Google Analytics and Microsoft SQL Server Reporting Services (SSRS). While Google Analytics offers reports and graphics, Reveal combines data from many sources, letting users build mashup-type dashboards with beautiful visualizations that tell a compelling story.

New Themes Match App's Look and Feel

The latest Reveal version includes two new themes that work in light and dark mode. They are fully customizable to match an app's look and feel when embedding Reveal into an application and provide control over colors, fonts, shapes and more.

More Information

For in-depth information about Reveal's newest features, visit the Reveal blog, Newest Reveal FeaturesPredictive Analytics, Big Data and More.

About Infragistics

Over the past 30 years, Infragistics has become the world leader in providing user interface development tools and multi-platform enterprise software products and services to accelerate application design and development, including building business solutions for BI and dashboarding. More than two million developers use Infragistics enterprise-ready UX and UI toolkits to rapidly prototype and build high-performing applications for the cloud, web, Windows, iOS and Android devices. The company offers expert UX services and award-winning support from its locations in the U.S., U.K., Japan, India, Bulgaria and Uruguay.

Here are ways to observe Good Friday, Easter and Passover services from the safety of your home.

By Gus Saltonstall, Patch Staff

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Infragistics Adds Predictive Analytics, Machine Learning and More - Patch.com

University of Iowa Health Care debuts ‘virtual hospital’ for COVID-19 patients – The Gazette

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IOWA CITY While the University of Iowa Hospitals and Clinics has ramped up its campus preparation for any potential surge in COVID-19 patients requiring hospitalization, most patients dont, prompting the facility to roll out a virtual hospital for those recovering at home.

About 80 percent of COVID-19 patients dont need to be hospitalized, and the new initiative provides them with direct daily care and support from a team of medical specialists.

Being diagnosed with COVID-19 is a pretty scary thing, but being able to navigate it with the help of a doctor or a nurse really gives our patients the support they need, Bradley Manning, clinical assistant professor of internal medicine and a hospitalist with UI Health Care, said in a statement.

He noted those patients are in self-quarantine, making their recovery particularly isolating and daunting even if thats the best place for them to be for their own safety and the safety of the general public and health care professionals.

But a Home Treatment Team provides support from nurses, physicians, pharmacists and other staff who use telemedicine to monitor and care for patients as they recover.

Its like the doctor is (visiting) you while you are in the comfort of your own home, Manning said.

A monitoring kit also is delivered to patients who are recovering at home. It contains a blood pressure cuff and pulse oximeter, which measures a patients blood oxygen level and heart rate.

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The kit also includes instructions for self-isolation and symptoms patients should be watching for. The patients then log their vital signs including temperature, blood pressure and oxygen levels and discuss any issues theyre managing with a health care provider via a daily telephone check-in.

The system, according to UI Health Care, allows its providers to monitor patient progress in real time to prevent disease complications and also gives them the ability to intervene quickly if a patient starts to worsen.

A patients family members also can ask questions or voice concerns during the daily calls.

These daily contacts with COVID-19 patients has afforded UI Health Care workers valuable insights and information about how the disease affects people including that a large number of those tracked by UIHC have experienced an unpleasant taste and fever.

Those, for some patients, are the only symptoms they experience in the early phases of the illness making it hard for patients to eat enough or drink enough, leading to dehydration. The daily reports of patient blood pressure, heart rate, and urine volume for example helps providers track hydration in real time and intervene.

Based on what we have seen in our patients, staying properly hydrated in the first few days of the illness really seems to be important to a patients ability to fight the disease and lower the risk of hospitalization, Manning said. The altered sense of taste is a really dramatic symptom and does make it very unpleasant to eat or drink. So, we really emphasize to patients the importance of staying hydrated.

To date, UIHC which administrators say is one of only a few hospitals using this approach to COVID-19 patient care has served 76 patients through its virtual hospital.

Of those, 35 have recovered, 38 are still being monitored and three have been transferred to the hospital for more intensive care.

The goal, according to Manning, is to help patients beat the disease without coming to the hospital keeping more of the hospitals critical care beds open.

We are encouraged by our preliminary results, Manning said, recommending other health care systems consider this as a model, so that we may all better care for our patients and improve outcomes during this pandemic.

In staying in touch with the areas COVID-19 patients, UIHC Vice President for Medical Affairs Brooks Jackson earlier this week said his campus is close to receiving approval to begin using plasma from recovered patients to help hospitalized COVID-19 patients.

The hope is any antibodies in the plasma would help patients recover faster.

Comments: (319) 339-3158; vanessa.miller@thegazette.com

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On 10th Anniversary of ‘Collateral Murder’ Release: The US Soldier Who Sought to Save Iraqi Children – Consortium News

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Ten years ago today WikiLeaks Collateral Murder video was published, depicting a horrific scene on a Baghdad street in 2007. Here is a talk by the one U.S. soldier who sought to save young victims of an American massacre.

Soldier Reveals What Happened onBaghdad Street; WikiLeaks WebinarOn 10th Anniversary of Videos Release

Consortium News

Ethan McCord was a U.S. soldier on patrol in Baghdad in July 2007 when he came upon a scene he says hed never encountered. Lying dead on a street were inanimate objects that turned out to be dead civilians, slain in cold blood by a U.S. Apache helicopter still filming the carnage from above.

McCord found a child still alive in a civilian van the US soldiers had gleefully struck. She had a stomach wound and glass in her eyes. The soldier carried her away to seek help, as seen in the cockpit video that U.S. Army intelligence officer Bradley Manning would soon pass to WikiLeaks.It was published on April 5, 2010, alarming the Pentagon and putting WikiLeaks on the map.

Later on Sunday, register to view a webinar with Editor-in-Chief Kristinn Hrafnnson, scholar Nozomi Hayase and Col. Ann Wright on the release of Collateral Murder. Hrafnnson traveled to Baghdad to meet the two children that McCord saved. The link to the webinar is below.

Here is a 17-minute talk given by McCord to the United National Peace Conference, in Albany, NY over the weekend of July 23-25, 2010. It was produced by the United National Peace Conference Media Project, the Sanctuary for Independent Media and the Hudson Mohawk Independent Media Center. McCord puts the events in context, explaining that U.S. military killing of Iraqi civilians was routine. He also exposes the reaction of the command to his actions to save the life of an innocent girl.

Here is how to register for Sundays webinar.

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On 10th Anniversary of 'Collateral Murder' Release: The US Soldier Who Sought to Save Iraqi Children - Consortium News

Headlong and Century Films Partner With BBC Arts On UNPRECEDENTED: REAL TIME THEATRE FROM A STATE OF ISOLATION – Broadway World

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BBC Arts has joined award-winning theatre company Headlong and BAFTA winning Century Films, as broadcast partner for Unprecedented: Real Time Theatre from a State of Isolation, a series of short, digital plays written and performed in isolation, which will be broadcast across the nation during lockdown as part of Culture in Quarantine.

Written by celebrated playwrights, performed by a cast of over fifty UK actors and curated by Headlong, Century Films and BBC Arts, Unprecedented is a series of short digital plays exploring our rapidly evolving world. The plays will respond to how our understanding and experiences of community, education, work, relationships, family, culture, climate and capitalism are evolving on an unprecedented scale. The series will ask how we got here and what the enduring legacy of this historic episode might be.

Directors working on the series include; Ned Bennett (Equus; An Octoroon; Yen), Deborah Bruce (Pride and Prejudice), Tinuke Craig (Vassa; The Colour Purple), Debbie Hannan (The Panopticon; Pah-La), Jeremy Herrin (This House; People Places and Things), Brian Hill (Bella and The Boys; Falling Apart), Ola Ince (Poet in da Corner; Appropriate: The Convert), Nathaniel Martello-White (Cla'am), Caitlin McLeod (Returning To Haifa), Blanche McIntyre (Tartuffe; The Writer) and Holly Race Roughan (Hedda Tesman; Broken Dreams).

The series will include new works from a diverse group of celebrated playwrights including; April De Angelis (My Brilliant Friend; The Village), Josh Azouz (The Mikvah Project; Buggy Baby), Deborah Bruce (The Distance; The House They Grew Up In), John Donnelly (The Pass; The Knowledge), James Graham (Ink; QUIZ; Coalition; Brexit: An Uncivil War; Labour of Love), Charlene James (Cuttin' It; Tweet Tweet), Matilda Ibini (Where do we go next: Little Miss Burden), Jasmine Lee-Jones (seven methods of killing Kylie Jenner) Duncan MacMillan (People, Places and Things; City of Glass; Rosmersholm; 1984; Lungs), and Anna Maloney (Consent), Nathaniel Martello-White (Torn; BLACKTA), Chlo Moss (This Wide Night; The Gatekeeper), Prasanna Puwanarajah (Nightwatchman; Patrick Melrose; Doctor Foster) and Tim Price (Salt, Root, Row; The Radicalisation of Bradley Manning).

Using digital conferencing technology, and combining live and pre-recorded material, these intimate new plays will give an immediate insight into this extraordinary communal experience. Unprecedented: Real Time Theatre from a State of Isolation will be braodcast on the BBC as part of BBC Arts' Culture in Quarantine initiative and made avaliable to stream online from May.

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Headlong and Century Films Partner With BBC Arts On UNPRECEDENTED: REAL TIME THEATRE FROM A STATE OF ISOLATION - Broadway World