#data_science

Eve Online fans literally cheer Microsoft Excel features at annual Fanfest | Ars Technica
▻https://arstechnica.com/gaming/2022/05/eve-onlines-ms-excel-partnership-makes-spreadsheets-in-space-official

https://cdn.arstechnica.net/wp-content/uploads/2016/08/eve-online-640x360.jpg

There aren’t many games for which built-in integration with Microsoft Excel would be a major feature whose announcement would draw literal cheers from fans. But Eve Online showed itself to be the exception when developer CCP announced coming Excel integration during its Eve Fanfest keynote this morning.

Through an official partnership with Microsoft, CCP said it is creating a JavaScript API that will allow players to “seamlessly export data from Eve Online” into the popular spreadsheet program. That “will help players access and calculate everything from profit margins to battle strategy, making day-to-day Eve operations easier to execute,” the company said in a press release.

“It’s not April fools; this is real,” Eve Online Creative Director Bergur Finnbogason said on the Fanfest stage, receiving bemused laughter in response. “I’m not lying—we actually reached out to [Microsoft] and they were like, ’Oh my god, We love Eve!’”

#jeux_vidéo #jeu_vidéo #jeu_vidéo_eve_online #ccp #microsoft #microsoft_excel #excel #bergur_finnbogason #tableur #data #données #api #api_javascript #javascript #data_science #larrikin

Is there a Happy Ending for the #Peaky_Blinders?
▻https://nightingaledvs.com/is-there-a-happy-ending-for-the-peaky-blinders

Peaky Blinders is an award-winning historical drama series produced by BBC Studios. The show is set between the two world wars and is centered around..

#Data_Science #Data_Visualization #How_To #social_network_mapping #Tools

I’ve Stopped Using #box_plots. Should You?
▻https://nightingaledvs.com/ive-stopped-using-box-plots-should-you

tl;dr: After having explained #How_To read box plots to thousands of workshop participants, I now believe that they’re poorly conceived (box plots, not workshop..

#Business_Intelligence #Charts #Data_Science #Data_Visualization #statistics

Aurora Speeding Tickets
▻https://nightingaledvs.com/aurora-speeding-tickets

Before smartphones, digital cameras, and orbiting satellites, the international scientific community recruited volunteer observers across the globe to record and report aurora borealis activity as..

#astronomy #citizen_science #Data_Science #Data_Visualization #Historic_Dataviz #qualitative_research #Tools

Using Infographics to Make #climate_change More Visible to the Public
▻https://nightingaledvs.com/using-infographics-to-make-climate-change-more-visible-to-the-public

Climate change may not be a directly observable phenomenon, but its impacts are currently threatening the lives of all living organisms. Although the majority of..

#Charts #Data_Science #Data_Visualization #Design #engagement #environment #How_To #interactive_dataviz

E.P.A. to Limit Science Used to Write Public Health Rules - The New York Times
▻https://www.nytimes.com/2019/11/11/climate/epa-science-trump.html

https://static01.nyt.com/images/2019/11/11/climate/00CLI-EPASCIENCE1/00CLI-EPA1-facebookJumbo.jpg

WASHINGTON — The Trump administration is preparing to significantly limit the scientific and medical research that the government can use to determine public health regulations, overriding protests from scientists and physicians who say the new rule would undermine the scientific underpinnings of government policymaking.

A new draft of the Environmental Protection Agency proposal, titled Strengthening Transparency in Regulatory Science, would require that scientists disclose all of their raw data, including confidential medical records, before the agency could consider an academic study’s conclusions. E.P.A. officials called the plan a step toward transparency and said the disclosure of raw data would allow conclusions to be verified independently.

For instance, a groundbreaking 1993 Harvard University project that definitively linked polluted air to premature deaths, currently the foundation of the nation’s air-quality laws, could become inadmissible. When gathering data for their research, known as the Six Cities study, scientists signed confidentiality agreements to track the private medical and occupational histories of more than 22,000 people in six cities. They combined that personal data with home air-quality data to study the link between chronic exposure to air pollution and mortality.

But the fossil fuel industry and some Republican lawmakers have long criticized the analysis and a similar study by the American Cancer Society, saying the underlying data sets of both were never made public, preventing independent analysis of the conclusions.

“It was hard to imagine that they could have made this worse, but they did,” said Michael Halpern, deputy director for the Center for Science and Democracy at the Union of Concerned Scientists, a nonprofit advocacy group. He added, “This is a wholesale politicization of the process.”

Academics are not typically required to turn over private data when submitting studies for peer review by other specialists in the field, or for publication in scientific journals, the traditional ways scientific research is evaluated. If academics were to turn over the raw data to be made available for public review, the E.P.A. would have to spend hundreds of millions of dollars to redact private information, according to one federal estimate.

#Santé #Données_personnelles #EPA #Politique_scientifique #Data_science #Manipulation

Let’s Make Gender Diversity in #Data_Science a Priority Right from the Start - PLOS Biology
▻http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1002206

Ten Simple Rules for Increasing Gender Diversity in Data Science

Get data science culture right at our places of employment:

1 Foster a recruitment process that seeks out diverse candidate pools and engages in targeted and intentional outreach efforts that attract a diverse applicant pool.
2 Monitor and promote pay equity.
3 Develop organizational mechanisms for promoting diversity in which success of such efforts can be measured and rewarded.
4 Provide leadership opportunities for women, promote their efforts, and help women identify advancement opportunities.
5 Make diversity a strategic priority and expect those who work for and/or with us to do so as well.

Become an activist for women’s representation in data science:

6 Put women colleagues and students up for awards and recognitions. Share their work with colleagues. Provide mentorship that helps them navigate the pathways to success. Help clear those paths.
7 Raise awareness of diversity. If you are asked to present, be on a panel, or serve on a committee, ask if there are (other) women participating. If not, suggest names of women to invite. (Bonus points for not accepting the response that finding good women candidates is hard.) This approach is particularly effective when both men and women ask these questions.
8 Help create positive language and social expectations around data science: assume that women will be part of the process and part of the leadership. Spread the word that women’s leadership belongs in data science. Position and highlight the expertise of women in the field and include their voices.
9 Send colleagues and students to the Grace Hopper Celebration of Women (and go yourself). Encourage them to utilize this meeting to expand their networks, advance their professional success, and develop mentors, colleagues and friends in data science.
10 Focus on daily actions and interactions. Make sure that women’s contributions are valued and heard. Model inclusive behavior and hold yourself and others accountable.

ping @archiloque #femmes #informatique

Un mathématicien pour fidéliser les abonnés du #New_York_Times
▻http://www.telerama.fr/medias/un-biologiste-pour-fideliser-les-abonnes-du-new-york-times,109590.php

Le recrutement d’un expert tel que Wiggins, s’il semble donc logique, ne constitue pas une première dans la presse américaine : en octobre 2013 déjà, le Wall Street Journal avait débauché de l’université Columbia une certaine Rachel Schutt, chercheuse en « #data_science » et rompue elle aussi à l’élaboration de modèles informatiques de #prédiction. Et il est probable que d’autres journaux fassent de même rapidement. Car jusqu’ici, dans la presse, les données de navigation des internautes n’étaient utilisées principalement qu’en temps réel, à des fins d’optimisation de la viralité des contenus, ou par les annonceurs publicitaires. Avec l’arrivée de ces prédicteurs, chargés d’anticiper le désamour des abonnés, la presse entre dans une nouvelle ère des possibles, à la Minority Report : pouvoir devancer l’inéluctable, et le contrer.

#presse #web #nyt

The Unreasonable Effectiveness of Data Scientists
▻http://bigdatasc.wordpress.com/2013/05/08/the-unreasonable-effectiveness-of-data-scientists

In 2009, Google released a paper titled The Unreasonable Effectiveness of Data and though I agree with most of it, I would argue that the effectiveness comes first and foremost from the data scientists themselves. (...)

#data_science is a great tool to have in a company’s toolbelt and can have a disproportionate impact on its achievements. Great data scientists understand the business needs of a company, use data to find the best solution and make this solution a reality.

Les statisticiens vendent à Hollywood la promesse du scénario parfait | Slate.fr
▻http://www.slate.fr/culture/72095/statistique-formule-magique-scenario-parfait

« Les statisticiens prennent d’assaut le dernier bastion de créativité humaine ». Ennemis de la créativité ? Ou aide à la production ? Tags : fing internetactu2net internetactu #industriesculturelles