EMATM0049

Copyright © D. Cliff, 2021. 1
TIBS Coursework Assessment, academic year 2021-22
Issued: Monday 13th December 2021
Deadline: Wednesday 12th January 2022

Three one-page newspaper articles

This coursework assessment requires you to write three short articles, each on a different topic. All three
articles should be formatted according to the instructions below, and each should be no more than one page
of A4-sized paper when formatted in that style. Each article should be around 700-800 words long, but if you
can fit more words than that on one page, without altering the format, that is fine.

You should write in a style suitable for publication as an article in a quality newspaper or magazine like The
Financial Times or The Economist. Please do not divide your text into headed sections/subsections, and
please do not provide a list of references at the end – write a single continuous sequence of paragraphs of
coherent prose, like a newspaper article. Similarly, please do not include tables, figures, diagrams, images,
infographics, or any other non-text content: all we want is words.
Please format your article using 11pt Times New Roman font, 2cm margins on all four edges, and set the
line-spacing to 1.0/"single".
Please submit your document as a single three-page PDF on Blackboard.
Remember that the Blackboard welcome-page for the Data Science MSc (here) has a bullet-list with hints
and tips on communicating (writing or speaking), that you are strongly advised to take account of.

The next page of this document is 800 words of LoremIpsum body-text, to show you what we're expecting
each submitted article to look like. The boldface words at the very start are place-holders for a brief title.

The specifications for the three articles are as follows:

Article 1: Explain in one page the concept of Responsible Research and Innovation (RRI) and give your
opinions on whether RRI is a plausible approach to adopt in the context of commercial technology
innovation for data science.

Article 2: Explain in one page the various legal protections for intellectual property that are available under
UK law, and how an innovator in data science should choose between them when considering how best to
deal with commercialising a new data analytics or machine learning system.

Article 3: Write a one-page article summarising the concerns that data science practices can entrench biases
and promote injustices, as expressed by authors such as Caroline Criado-Perez (Invisible Women, 2019),
Cathy O'Neill (Weapons of Math Destruction, 2016), and Leila Schneps & Coralie Colmez (Math On Trial,
2013, and what can be done to address these problems; give your own opinion on these arguments.

In each case, remember that your target audience is someone who is intelligent and articulate, but who is not
already intimately familiar with the material that you are writing about: the job of each article is to inform
the reader.

Good luck!


EMATM0049

Copyright © D. Cliff, 2021. 2
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