GLOBAL RESEARCH SYNDICATE
No Result
View All Result
  • Login
  • Latest News
  • Consumer Research
  • Survey Research
  • Marketing Research
  • Industry Research
  • Data Collection
  • More
    • Data Analysis
    • Market Insights
  • Latest News
  • Consumer Research
  • Survey Research
  • Marketing Research
  • Industry Research
  • Data Collection
  • More
    • Data Analysis
    • Market Insights
No Result
View All Result
globalresearchsyndicate
No Result
View All Result
Home Data Collection

Government call for science ‘weirdos’ prompts caution from researchers

globalresearchsyndicate by globalresearchsyndicate
January 7, 2020
in Data Collection
0
Government call for science ‘weirdos’ prompts caution from researchers
0
SHARES
4
VIEWS
Share on FacebookShare on Twitter

Dominic Cummings.

Dominic Cummings, a controversial political strategist, is one of UK Prime Minister Boris Johnson’s chief advisers.Credit: Daniel Leal-Olivas/AFP/Getty

Researchers have reacted with surprise and caution to a bizarrely worded job advertisement posted by a senior UK government adviser. The notice calls for scientists, mathematicians and “super-talented weirdos” to work for the prime minister and to help make “rapid progress with long-term problems”, and cites several scientific papers.

Researchers, including the authors of some of the papers, welcomed a focus on data-driven techniques and scientific skills from the top level of government, but caution against oversimplifying how science is applied to policymaking.

Dominic Cummings, a political strategist who is chief special adviser to Prime Minister Boris Johnson, posted the advertisement on his personal website on 2 January. Cummings is known for his strong and sometimes controversial views on science, as well as a “move fast and break things” approach that aims to disrupt the status quo. Johnson’s Conservative party held on to power — and increased its majority in Parliament — in a general election last month.

In the 2,900-word advertisement, Cummings says that he is seeking “data scientists, project managers, policy experts, assorted weirdos”, as well as “unusual” mathematicians, physicists and economists, to work in the Prime Minister’s office at Downing Street, which will see through major policy changes as part of the United Kingdom’s departure from the European Union. The post attracted attention for its brash language and odd requirements, such as that applicants show excitement about a slew of specific scientific ideas.

Cummings describes his plan to take a data-driven, computational approach to tackling the science of prediction and decision-making in government. The ad cites research papers1,2,3,4 in fields such as data science and artificial intelligence that candidates should familiarize themselves with (see ‘Reading list’) — although he does not mention the overarching policy goals or societal problems the government wants to solve.

“What Cummings wants seems to be a classic Hollywood scientist, coming in wearing a white coat and telling him what the answer is and saving the day, and it doesn’t work like that,” says Jack Stilgoe, a researcher in science and technology studies at University College London. “The idea you can come up with technological fixes to social problems — we have a century of experience showing how flawed that theory is.”

Reading list

Four of the papers that applicants to the Prime Minister’s office should consider.

‘Early warning signals for critical transitions in a thermoacoustic system.’ This engineering paper looks at the early-warning signs in a model engine that show it is tipping into a destructive state. The authors suggest that this can be applied to spot similar tipping points in other domains, such as finance.

‘Computational rationality: A converging paradigm for intelligence in brains, minds, and machines.’ This review paper explores the concept of computational rationality — that idea that intelligent systems should optimize their performance while taking into account constraints on their knowledge, memory, speed and energy. It notes that parallels exist in such optimization across psychology, neuroscience and artificial intelligence.

‘Scale-free networks are rare’. This paper applies statistical methods to 1,000 different networks, which are used to represent and study complex systems in areas from biology to transport. The work debunks the popular scientific idea that most networks are ‘scale-free’, a mathematical description of their structure which leads to them having a small number of highly connected hubs.

‘Statistical and machine learning forecasting methods: Concerns and ways forward.’ This paper investigates whether certain machine-learning methods are more accurate than conventional, statistical ones in forecasting data that occurs infrequently, such as a country’s gross domestic product or company sales figures. The authors find that while machine learning methods can be very accurate for some data, in this case statistical approaches beat pure machine-learning methods.

Complex problems

Many authors of the papers, contacted by Nature’s news team, expressed surprise — and in some cases delight — at a senior government figure paying attention to the scientific literature. “It gives us immense pleasure to observe that our results can pave the way for the young talent to solve issues of highest importance,” says R. I Sujith, an aerospace engineer at the Indian Institute of Technology Madras in Chennai, India, whose paper1 on catastrophic changes in physical systems was cited by Cummings.

Policymakers should indeed exploit the huge scale and granularity of data now available, adds Aaron Clauset, a computer scientist at the University of Colorado Boulder, who authored two of the cited papers3. But he warns against blindly using these tools on complex social and economic problems, the solutions to which often involve understanding humans rather than technical issues. “In many cases we don’t understand causality well enough to formulate a policy that will not do more damage than good,” he says. For many questions, science is just one of many factors that should determine policy, he adds.

This opinion was echoed by Sujith and four other authors contacted by Nature. Sam Gershman2, a cognitive neuroscientist at Harvard University in Cambridge, Massachusetts, whose work Cummings also cited, says that some elements of his research could be relevant to policy projects. “However, we must be extremely cautious in how we apply these ideas, because there are many historical examples of social engineering gone awry due to overly simplistic assumptions about human cognition,” says Gershman.

Advice networks

Researchers familiar with how science advice is already used in the UK government said that new and unusual talent is welcome — but that Cummings’ post is unfairly critical of the government’s civil service. He should focus on bringing new scientists in “rather than dismissing the whole service as it is at the moment,” says geneticist Paul Nurse, who leads the Francis Crick Institute in London.

Natalie Perera, executive director of the Education Policy Institute in London and a former senior civil servant, added on Twitter that Cummings’ call — which explicitly referenced applicants attending a “great university” and foregoing their work–life balance, as well as shrugging off the need for “gender diversity blah blah” — would prevent the advert from attracting the “genuine cognitive diversity” it purports to target.

Gershman adds that Cummings’ approach to research encapsulates a dilemma facing scientists in current political environments. “There is a danger that science could be used to serve programs that many scientists might not personally wish to support, given the divergence in political attitudes between most scientists and the current government.”

Cummings’ desire to model and predict real-world events may face an additional hurdle, Jeni Tennison, who leads the London-based non-profit company the Open Data Institute, writes on her blog. “I think Cummings’ team will pretty rapidly come up against a lack of usable, accessible data for the things they want to look at,” she says.

Related Posts

How Machine Learning has impacted Consumer Behaviour and Analysis
Consumer Research

How Machine Learning has impacted Consumer Behaviour and Analysis

January 4, 2024
Market Research The Ultimate Weapon for Business Success
Consumer Research

Market Research: The Ultimate Weapon for Business Success

June 22, 2023
Unveiling the Hidden Power of Market Research A Game Changer
Consumer Research

Unveiling the Hidden Power of Market Research: A Game Changer

June 2, 2023
7 Secrets of Market Research Gurus That Will Blow Your Mind
Consumer Research

7 Secrets of Market Research Gurus That Will Blow Your Mind

May 8, 2023
The Shocking Truth About Market Research Revealed!
Consumer Research

The Shocking Truth About Market Research: Revealed!

April 25, 2023
market research, primary research, secondary research, market research trends, market research news,
Consumer Research

Quantitative vs. Qualitative Research. How to choose the Right Research Method for Your Business Needs

March 14, 2023
Next Post
Idiopathic Thrombocytopenic Purpura (ITP) Therapeutics Market To Reach USD 783 Million By 2026

Benzene Market to Reach USD 115.42 Billion By 2027

Categories

  • Consumer Research
  • Data Analysis
  • Data Collection
  • Industry Research
  • Latest News
  • Market Insights
  • Marketing Research
  • Survey Research
  • Uncategorized

Recent Posts

  • Ipsos Revolutionizes the Global Market Research Landscape
  • How Machine Learning has impacted Consumer Behaviour and Analysis
  • Market Research: The Ultimate Weapon for Business Success
  • Privacy Policy
  • Terms of Use
  • Antispam
  • DMCA

Copyright © 2024 Globalresearchsyndicate.com

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. Cookie settingsACCEPT
Privacy & Cookies Policy

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Non-necessary
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.
SAVE & ACCEPT
No Result
View All Result
  • Latest News
  • Consumer Research
  • Survey Research
  • Marketing Research
  • Industry Research
  • Data Collection
  • More
    • Data Analysis
    • Market Insights

Copyright © 2024 Globalresearchsyndicate.com