SCI COMMUN### Conservation A company seeking to build a controversial gold and copper mine in Alaska won a major victory on 24 July when the U.S. Army Corps of Engineers issued an environmental analysis saying the mine wouldn't endanger the world's most productive sockeye salmon fishery. The decision clears the way for the Corps to issue permits needed by promoters of the Pebble Mine, located at the headwaters of two major watersheds that form part of the Bristol Bay salmon runs, just north of the Aleutian Islands. Environmental and Native Alaskan groups and some salmon scientists blasted the new study, saying it understated risks by focusing on the mine's small, initial footprint over 20 years of mining rather than its potential impacts if it expands to become one of the world's largest gold and copper mines, as its promoters hope. Mine backers have said such an expansion would get a closer environmental review later if they pursue it. Scientists have raised concerns that even the smaller mine could have wide impacts, because the resilience of the salmon runs hinges on access to a wide variety of spawning habitats. Environmental groups have vowed to file lawsuits to block the project. 90% —Accuracy of a new artificial intelligence system trained to identify individual weaver birds, which human birders generally cannot tell apart unless they are tagged ( Methods in Ecology and Evolution ). ### Planetary science China's first independent mission to Mars blasted off from the Xichang Satellite Launch Center on 23 July. To arrive in February 2021, Tianwen-1, a “quest for heavenly truth,” comprises an orbiter, lander, and rover. Only the United States and the Soviet Union have successfully landed on Mars. Instruments on the three Tianwen-1 craft will study the planet's magnetic field and atmosphere, map its surface, and characterize its geology. Tianwen-1 is the second in a trio of fresh martian missions: The United Arab Emirates launched its Hope orbiter on 19 July, and NASA planned to launch its Perseverance rover as early as 30 July, after Science went to press. ### Funding A bill in France would increase research spending over the next 10 years and add tenure-track faculty positions, a novelty in France. But critics say the plan's increases would be too small and slow. By 2030, the annual public research budget would rise by about one-third, to €20 billion, toward a goal of lifting overall R&D spending from 2.2% of gross domestic product to 3%. The National Research Agency, which funds researchers through competitive calls, would get €1 billion more over 7 years, reaching about €1.7 billion in 2027, to help raise its grant success rates from 16% to a target of 30%. The new, nonpermanent tenure-track positions would complement the permanent entry-level research positions traditionally offered by the French system, but critics fear the growth may lead to a decline in the permanent ones. Parliament is expected to approve the bill. ### Drug trials A monoclonal antibody given to babies has strongly protected them from severe disease caused by respiratory syncytial virus (RSV), a leading cause of infant death. As reported this week in The New England Journal of Medicine , a placebo-controlled study of nearly 1500 babies born preterm—who are at higher risk of severe symptoms of RSV—in 23 countries found that a single injection of the antibody before RSV season starts in the fall led to 78.4% fewer hospitalizations for lower respiratory infections associated with the disease. The antibody, being developed by AstraZeneca and Sanofi Pasteur, could replace one now on the market that is rarely used. (It is recommended only for infants at highest risk, requires five shots, and is very expensive.) The companies plan to seek regulatory approval of the new prophylaxis if larger studies now underway in preterm and full-term infants confirm that it is safe and effective. ### Graduate studies The American Astronomical Society last week launched the Astronomy Genealogy Project, which maps 5000 astronomers to their academic “descendants”—the 28,000 doctorate recipients they supervised. The discipline's family tree, at astrogen.aas.org, stretches back to 1766, but half of the listed doctorates were awarded since 2002. Organizers hope the data will help historians and sociologists of science analyze patterns across countries, universities, and subfields. U.S. universities awarded slightly more than half of the doctorates listed, and about two-thirds of the theses are online. ### Climate Environmental groups last week denounced as weak a plan announced by the U.S. Environmental Protection Agency (EPA) to limit greenhouse gas emissions from aircraft. The new standard would match an existing one adopted in 2016 by a U.N. body, the International Civil Aviation Organization (ICAO), that required emissions cuts by 2028. But recently manufactured planes already meet the standard, and EPA conceded its new rule would not reduce overall airplane emissions. Manufacturers have supported such a U.S. regulation to help them meet ICAO certification requirements. IACO has predicted that even under its standard, airplane emissions will grow by at least 3% a year globally. U.S. aviation accounts for 3% of the country's greenhouse gas emissions. ### Extreme life Bacteria from seafloor sediments buried 101 million years ago have been grown in the lab, raising the possibility they are as old as their muddy home. They had somehow survived in an area of the Pacific Ocean almost devoid of organic matter or other nutrients most bacteria need, although the sediments recovered do contain oxygen, the researchers report in Nature Communications . The finding pushes back the documented age of bacteria living in marine sediment from 15 million years and provides new insights on the limits of life under extreme conditions. A team led by researchers from the Japan Agency for Marine-Earth Science and Technology harvested the microbes from core samples drilled up to 5700 meters below sea level and took precautions against contaminating them with modern bacteria. The group argues the microbes likely didn't have enough food to keep replicating, and instead may have survived for eons without dividing by repairing age-related cellular damage. The microbes identified are known members of more than eight bacterial groups, many of which are commonly found elsewhere on Earth. ### Biotechnology Scientists announced last week that they used CRISPR gene editing to modify a cow embryo so that the resulting calf, named Cosmo, should produce more offspring bearing male traits. Bulls are 15% more efficient than cows at converting feed into weight gain, so the new method may allow cattle farmers to raise fewer cattle, benefiting the environment, say the researchers at the University of California, Davis. The researchers inserted a gene called SRY , which initiates male development and is normally found on the male sex chromosome, into an embryo's chromosome 17. Next, the researchers plan to determine whether Cosmo's offspring that inherit the SRY gene look and grow like males. Fifty percent of the calf's progeny will naturally be male; another 25% will be genetically female but will carry the SRY gene. ### Conservation Florida's governor this month signed a bill to establish a 162,000-hectare marine sanctuary in the Gulf of Mexico and protect one of the state's last remaining stretches of seagrass. Florida's coast boasts the most continuous expanse of seagrass beds in the United States, but these diverse habitats, home to blue crabs and manatees, have been damaged by nutrient-driven algal blooms and boat propellers. Authorities plan to create a management plan for the new Nature Coast Aquatic Preserve to balance protection with ecotourism, boating, and fishing. ### A magic ride for science In 1984, artist Bruce Degen met writer Joanna Cole at a publisher's office in New York City to discuss creating a children's book about science. They went on to collaborate and publish 13 colorful, zany books in The Magic School Bus series, featuring the ebullient, intrepid teacher Ms. Frizzle (above, right), who takes her students on fantastic adventures into the ocean, across the Solar System, and through the human body, for example. Cole died on 12 July at age 75. But the series continues to teach young readers and their parents about the natural world. > Q: Did you expect to create such a legacy? > A: I was in art school doing very serious art, and I realized that, in my heart of hearts, I wanted to do children's books. In the beginning, it was darn hard work. Some book sketch dummies have five layers of rewrites and reillustrations. The first book was a one-book contract to see if this would work. [The reception] was like the world was waiting for somebody to make this happen. People say, “[As a child,] I [used to] read these books, now I read them to my kids!” I could never have imagined it. > Q: Does scientific accuracy get in the way of storytelling? > A: Frequently. You have to tell kids what is true, but you can't give them all the truth—it's too much. For example, the evolution book goes from now [back] to the beginning of the Earth. I [initially] tried to show every era, year, and life form. It was too complicated. So it ended up as a nice, open spiral with a few representations of each era. > Q: Why use the format of adventures? > A: By following the story, it gave kids a mental filing system—they could retrieve and remember information because it was given to them in a memorable trip. ### Dispatches from the pandemic Read additional Science coverage of the pandemic at [sciencemag.org/tags/coronavirus][1]. #### U.S. vaccine efficacy trials begin The first large-scale efficacy trials of COVID-19 vaccines in the United States began last week. On 27 July, the National Institutes of Health, working with Moderna, announced the start of one that aims to recruit 30,000 people. Later that day, a partnership between Pfizer and BioNTech announced separately it was launching a similarly sized study at sites in the United States and elsewhere. Both the Moderna and the Pfizer/BioNTech vaccines contain messenger RNA that prompts cells to make a protein that studs the surface of the COVID-19 virus. If the vaccines work, this viral protein will safely teach the immune system how to battle the virus if a person later is exposed to it. Operation Warp Speed, the Trump administration's push to accelerate development of a COVID-19 vaccine, has committed nearly $3 billion to these two R&D projects, about half its total investment. Other efficacy trials of various COVID-19 vaccines have begun in Brazil, the United Arab Emirates, and the United Kingdom. Results are expected in late fall at the earliest. #### CDC slammed over school rules Guidance issued by the U.S. Centers for Disease Control and Prevention (CDC) last week for safely reopening schools downplays risks that teachers, other staff members, and students will spread or contract COVID-19, many public health specialists say. Provoking claims that CDC's advice had been politicized, the agency revised an earlier draft that President Donald Trump had panned as “very tough and expensive.” The nonbinding recommendations, released 23 July, emphasize the social and developmental benefits of in-person schooling and highlight that young children are at low risk for contracting the disease and transmitting the virus that causes it. The document also recommends against screening students for symptoms. Nevertheless, the Trump administration did advise communities with high infection rates to consider not beginning in-person classes. Large school districts, such as those in Atlanta, Houston, Los Angeles, and San Diego, have already announced that they will begin the 2020–21 school year with online instruction only. #### Anti-Fauci TV segment canceled Following heavy criticism from scientists and others, Sinclair Broadcast Corp. this week canceled plans for its chain of local TV stations to air a segment featuring widely challenged accusations that Anthony Fauci, director of the National Institute of Allergy and Infectious Diseases, intentionally created the virus responsible for COVID-19 and sent it to China. Fauci has helped lead the U.S. effort to control the pandemic despite tangling with President Donald Trump. The allegation came from Judy Mikovits, a virologist and antivaccine activist who appears in a documentary about the coronavirus that was also widely debunked as false and misleading (). The Sinclair segment, a new interview with Mikovits, was available online until the company pulled it for review on 25 July, after Media Matters reported its existence. Sinclair announced on 27 July that it would not air the segment on the nearly 200 TV stations it owns or operates in 89 U.S. markets—but not before one in Charleston, West Virginia, had broadcast it. [1]: http://sciencemag.org/tags/coronavirus

As head of EMEA analytics, Lunn has led the team responsible for delivering analytics projects to customers throughout Europe, the Middle East and Africa, and for bringing advances in analytics technology to customer projects. In her new role, she will oversee regional delivery teams in EMEA, Latin America, Asia-Pacific and North America, as well as the company's Global Analytic Delivery Center based in Bangalore, India, applying the latest breakthroughs in analytics to solve specific customers' challenges. "FICO has been a global leader in analytics for more than 60 years, ever since it brought the first credit scoring systems to market," said Louise Lunn, vice president of Global Analytics Delivery. "The explosion in data and the increasing use of AI and machine learning have brought the power of FICO analytics to more businesses worldwide, in every industry. I'm proud to be on the front lines of this effort, and to lead a global team of data scientists addressing the specific challenges of businesses worldwide."

What are the most pressing issues when it comes to ethics in AI and robotics? How will they affect the way we live (and work)? Sooner or later these issues will concern you, whether you work in the field or not. Here we will go through the main ideas contained in the paper Robot ethics: Mapping the issues for a mechanized world, while I add some of my own input. You will not have many answers, but will probably start asking the right questions.

For a few seconds, it seems real. Then, on the horizon, the landscape gives way to rugged coastline, and, as the plane flies closer, we glimpse the rippling waves glinting in the evening sun. In real life, I have not seen the ocean for five months and, although I'm just sitting in my kitchen watching a virtual presentation of a video game, I feel a surge of emotion. When the latest instalment in Microsoft's decades-old Flight Simulator series was first shown at the E3 video game event last year, it drew gasps from the audience. Using two petabytes of geographic data culled from Bing Maps, together with cutting-edge, machine learning algorithms running on the company's Azure cloud computing network, the game presents a near-photorealistic depiction of the entire planet.

Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with numerous successful stories. AI has also contributed to dealing with the coronavirus disease (COVID-19) pandemic, which has been happening around the globe. This paper presents a survey of AI methods being used in various applications in the fight against the COVID-19 outbreak and outlines the crucial roles of AI research in this unprecedented battle. We touch on a number of areas where AI plays as an essential component, from medical image processing, data analytics, text mining and natural language processing, the Internet of Things, to computational biology and medicine. A summary of COVID-19 related data sources that are available for research purposes is also presented. Research directions on exploring the potentials of AI and enhancing its capabilities and power in the battle are thoroughly discussed. We highlight 13 groups of problems related to the COVID-19 pandemic and point out promising AI methods and tools that can be used to solve those problems. It is envisaged that this study will provide AI researchers and the wider community an overview of the current status of AI applications and motivate researchers in harnessing AI potentials in the fight against COVID-19.

Recent advances in neural network-based generative modeling have reignited the hopes in having computer systems capable of seamlessly conversing with humans and able to understand natural language. Neural architectures have been employed to generate text excerpts to various degrees of success, in a multitude of contexts and tasks that fulfil various user needs. Notably, high capacity deep learning models trained on large scale datasets demonstrate unparalleled abilities to learn patterns in the data even in the lack of explicit supervision signals, opening up a plethora of new possibilities regarding producing realistic and coherent texts. While the field of natural language generation is evolving rapidly, there are still many open challenges to address. In this survey we formally define and categorize the problem of natural language generation. We review particular application tasks that are instantiations of these general formulations, in which generating natural language is of practical importance. Next we include a comprehensive outline of methods and neural architectures employed for generating diverse texts. Nevertheless, there is no standard way to assess the quality of text produced by these generative models, which constitutes a serious bottleneck towards the progress of the field. To this end, we also review current approaches to evaluating natural language generation systems. We hope this survey will provide an informative overview of formulations, methods, and assessments of neural natural language generation.

Designing the decision-making processes of artificial agents that are involved in competitive interactions is a challenging task. In a competitive scenario, the agent does not only have a dynamic environment but also is directly affected by the opponents' actions. Observing the Q-values of the agent is usually a way of explaining its behavior, however, do not show the temporal-relation between the selected actions. We address this problem by proposing the \emph{Moody framework}. We evaluate our model by performing a series of experiments using the competitive multiplayer Chef's Hat card game and discuss how our model allows the agents' to obtain a holistic representation of the competitive dynamics within the game.

The video game industry has adopted recommendation systems to boost users interest with a focus on game sales. Other exciting applications within video games are those that help the player make decisions that would maximize their playing experience, which is a desirable feature in real-time strategy video games such as Multiplayer Online Battle Arena (MOBA) like as DotA and LoL. Among these tasks, the recommendation of items is challenging, given both the contextual nature of the game and how it exposes the dependence on the formation of each team. Existing works on this topic do not take advantage of all the available contextual match data and dismiss potentially valuable information. To address this problem we develop TTIR, a contextual recommender model derived from the Transformer neural architecture that suggests a set of items to every team member, based on the contexts of teams and roles that describe the match. TTIR outperforms several approaches and provides interpretable recommendations through visualization of attention weights. Our evaluation indicates that both the Transformer architecture and the contextual information are essential to get the best results for this item recommendation task. Furthermore, a preliminary user survey indicates the usefulness of attention weights for explaining recommendations as well as ideas for future work. The code and dataset are available at: https://github.com/ojedaf/IC-TIR-Lol.

Anomalies are occurrences in a dataset that are in some way unusual and do not fit the general patterns. The concept of the anomaly is generally ill-defined and perceived as vague and domain-dependent. Moreover, no comprehensive and concrete overviews of the different types of anomalies have hitherto been published. By means of an extensive literature review this study therefore offers the first theoretically principled and domain-independent typology of data anomalies, and presents a full overview of anomaly types and subtypes. To concretely define the concept of the anomaly and its different manifestations the typology employs four dimensions: data type, cardinality of relationship, data structure and data distribution. These fundamental and data-centric dimensions naturally yield 3 broad groups, 9 basic types and 61 subtypes of anomalies. The typology facilitates the evaluation of the functional capabilities of anomaly detection algorithms, contributes to explainable data science, and provides insights into relevant topics such as local versus global anomalies.

We consider structural impulse response analysis for sparse high-dimensional vector autoregressive (VAR) systems. Since standard procedures like the delta-method do not lead to valid inference in the high-dimensional set-up, we propose an alternative approach. First, we directly construct a de-sparsified version of the regularized estimators of the moving average parameters that are associated with the VAR process. Second, the obtained estimators are combined with a de-sparsified estimator of the contemporaneous impact matrix in order to estimate the structural impulse response coefficients of interest. We show that the resulting estimator of the impulse response coefficients has a Gaussian limiting distribution. Valid inference is then implemented using an appropriate bootstrap approach. Our inference procedure is illustrated by means of simulations and real data applications.