April 27, 2020 —Daniel Robinson, CBM Content Author, European Sales

卫生和社会福利部(大学概况)是如何拿出自己multi-phase responseto tackle COVID-19? In this post, I investigate how the UK government’s original plan against the coronavirus aligns with the four-stepcomputational thinking process. Teachers are welcome to use this post as a free resource.

Please note: where possible, I have taken data from before the DHSC’s plan was published.


What is thecomputational thinking process? Simply put, it is a sequence of four steps that you can take in order to solve a problem. The aim is not just to obtain a solution, but to ensure that the right choices were made, the right tools were used and the right outcomes were achieved along the way. The steps are as follows: you define explicitly the problem you wish to solve, abstract it to a computational form, compute an answer, then interpret the result:

Four steps to computational thinking—click to enlarge

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2020年4月9日—Avery Davis, Public Relations Project Manager, Public Relations

Computational Explorations of the Coronavirus on Wolfram Community

When the world is in distress, Wolfram users turn to computation! Even in the midst of this global pandemic, Wolfram staff, friends and colleagues continue to show the power of computational curiosity. We’ve provided acentralized COVID-19 data and resources page, with ways to get free licenses for Wolfram technology through August, livestreamed multiparadigm explorations into the science and data behind the virus, computational explorations from Wolfram users and more. This resource will be continually updated, so make sure to check back often!

我们的工作人员和用户的社区已经令人难以置信的活跃,创造自己的创新资源,并从不同的角度探讨可用的数据。Wolfram Community合才华横溢,经验丰富的数据科学家,生物学家,化学家,供应链专家,流行病学家,数学家,物理学家和更多。最近几周,我们已经看到了活动和探索乱舞,愿意分享想法和信息,以及业内专业人士和高中学生都互相鼓励。

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April 1, 2020 —Alec Titterton, CBM Content Development Manager, European Sales

Remote Learning, Technology Resources and Opportunities for Educators

With many schools transitioning to remote learning for the remainder of the school year, educators face the challenge of maintaining the same quality of education as in-person lessons. Here’s a collection of the resources offered by Wolfram Research and others to help educators in an e‑learning environment.

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2020年3月17日 -Ishwarya Vardhani,教育合作伙伴关系管理,合作伙伴关系

Communities the world over are bracing themselves for impact from the novel coronavirus COVID-19. Many school districts in particular have already suspended sessions for several weeks to come—and understandably, parents and educators feel anxious about navigating at-home learning (among the variety of other concerns brought about by a pandemic!).


在专业方面,我在钨做什么用包括教育工作者,学生和组织合作,并与技术,以使他们的很大一部分manbet万博appthink computationally. I know of several parents with older kids who are now at home, enrolled in schools that are not completely prepared to provide online instruction. While the internet is awash with curricula, it can be a challenging task to assess the quality, relevance and usefulness of each course, given the amount of what is out there.

For decades now at Wolfram, we’ve been committed to the creation of cutting-edge technology and resources for classrooms. Let’s take a look at our wealth of free online resources for quality education while at home.

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2020年3月12日 -丹妮尔隆美尔外联和通信,主任

Given the current discussion of quarantines, sick leave and controlling community outbreaks, many people around the world have been prompted to wonder “Can my business run with a remote workforce?” or “Can my students learn and be productive without coming into the classroom?” The answer, we’ve found, is yes—and we’ve got decades of experience as a largely remote company to guide you, your school, government lab, university or company as you make the understandably challenging transition to working remotely.

Remote Work, Remote Learning: Battle Tested with Wolfram

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February 6, 2020 —Brian Wood,首席技术作家,文档和媒体系统

When 20 presidential candidates duke it out on the debate stage, who wins? Americans have been watching a crowded and contentious primary season for the 2020 Democratic nomination for president. After the debates, everyone’s talking about who got the most talk time or attention, which exchanges were most exciting or some other measure of who “won” the night—and who might ultimately clinch a victory at the caucuses. So I decided I’d do a little exploration of the debates using theentity framework,text analyticsgraph capabilitiesWolfram Language和see if I could come up with my own measure of a “win” for a debate, based on which candidate was most central to the conversation.

Democratic Presidential Debate Analysis Using the Wolfram Language

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2019年12月10日 -Jon McLoone, Director, Technical Communication & Strategy

Much effort and money are spent trying to analyze whether political messages resonate with the electorate. With the UK in its final days before a general election, I thought I would see if I could gain such insight with minimal effort.

我的方法很简单:跟踪提及每一方鸣叫的情绪。由于Wolfram Languagehas a built-in sentiment classifier and connections to external services, we can analyze these messages with only a few lines of code.

Analyzing the Impact of Political Messages with the Wolfram Language

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September 5, 2019 —Daniel Lichtblau, Symbolic Algorithms Developer, Algorithms R&D

Authorship Forensics from Twitter Data

A Year Ago Today

On September 5 of last year,The New York Times匿名了发布一个专栏不寻常的一步。开始了 ”I Am Part of the Resistance inside the Trump Administration“,并迅速成为被称为‘抵抗’专栏。从一开始,有广泛的猜测,至于谁可能是作者(S);到今天,还没有得到解决。(Spoiler alert: it will not be settled in this blog post, either. But that’s getting ahead of things.) When I learned of this op-ed, the first thing that came to mind, of course, was, “I wonder if authorship attribution software could….” This was followed by, “Well, of course it could. If given the right training data.” When time permitted, I had a look on the internet into where one might find training data, and for that matter who were the people to consider for the pool of candidate authors. I found at least a couple of blog posts that提到的可能性using tweetsfrom administration officials. One gave a preliminary analysis (with President Trump himself receiving the highest score, though by a narrow margin—go figure). It even provided a means of downloading a dataset that the poster had gone to some work to cull from the Twitter site.

The code from that blog was in a language/script in which I am not fluent. My coauthor on two authorship attribution papers (and other work),Catalin Stoean, was able to download the data successfully. I first did some quick validation (to be seen) and got solid results. Upon setting the software loose on the op-ed in question, a clear winner emerged. So for a short time I “knew” who wrote that piece. Except. I decided more serious testing was required.

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2019年4月4日 -Dan McDonald, Lead Developer, Synthetic Geometry Project


版本12的Wolfram Language介绍的功能GeometricScene,RandomInstanceFindGeometricConjectures为代表,绘画和推理在平面几何问题。具体地说,抽象场景描述可以自动地与坐标值提供给图产生满足现场条件。让我们将这个功能了一些关于几何中出现的问题的文章和问题The American Mathematical Monthly从二月和三月2019。

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March 29, 2019 —迈克尔·特罗特, Chief Scientist, Wolfram|Alpha Scientific Content


In the so-called “new SI,” theupdated version of the International System of Unitsthat will define the seven base units (second, meter, kilogram, ampere, kelvin, mole and candela) and that goes into effect May 20 of 2019, all SI units will be definitionally based on exact values of fundamental constants of physics. And as a result, all the named units of the SI (newton, volt, ohm, pascal, etc.) will ultimately be expressible through fundamental constants. (Finally, fundamental physics will be literally ruling our daily life .)


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