Measurement and Meaning EN

Uitgebreide vaknaam	Measurement and Meaning: thinking critically about evidence
Leerdoelen	1) Apply key concepts including datafication, evidence, metrics and sampling 2) Evaluate data according to their provenance, their merits and disadvantages, and critically assess quality and limitations 3) Assess and formulate the kinds of expertise and work needed for making data sets usable (wrangling/cleaning/etc) 4) Identify opportunities and challenges of new data-centric research methods and interfaces 5) Consider the role of data as key input and constraint for black boxes, artificial intelligence and particularly machine learning 6) Recognize and evaluate the ways data is presented as evidence in relation to different visualisations 7) Critically assess the mutual shaping of data and science, policy, and politics, including how data are turned into metrics that are used for decision-making
Omschrijving	Data and statistics play an increasingly important role in all spheres of life. In this ‘skills training’ we will take a critical look at how we use data and statistics and how we value these. We will consider that data are not neutral representations of the world and that statistics is not about complex calculations. Statistics is actually a set of tools to think critically about evidence. Statistics is also about imagination, rigour and thoughtfulness in applying these tools to data. In Measurement and Meaning, we will explore the design and function of these tools, where they come from, and why different tools are seen as the ‘right tool for the job’ in different disciplines and contexts. We will also consider the relationship between statistics, data, evidence and claims. This training will help you develop ‘habits of mind’ and critical data skills.
Uren per week	variabel
Onderwijsvorm	Discussiebijeenkomsten, Essay, Hoorcolleges, Opdracht(en), Presentatie(s)
Toetsvorm	Essay, Groepsopdracht(en), Presentatie(s), Verslag(en) (aanwezigheid verplicht)
Vaksoort	Honours College-Bachelor
Coördinator	Prof. Dr. J.A. Beaulieu
Docent(en)	Prof. Dr. J.A. Beaulieu , M.A. Campbell-Verduyn, PhD. ,Dr. G. Stulp
Verplichte literatuur	Titel Auteur ISBN Prijs (Forthcoming) A Critical Introduction to Data and Society, Sage. Beaulieu, Anne & Sabina Leonelli
Entreevoorwaarden	Alleen toegankelijk voor studenten die voor het BA Honours College Programma zijn geselecteerd.
Opmerkingen	Dit vak is één van de keuzemogelijkheden binnen de vaardighedenmodules. Deze vakken kunnen in zowel het 1e jaar (semester 2b) als in het 2e jaar (alleen semester 1a, 1b en 2a) gevolgd worden. (I.v.m. studieplanning bij voorkeur één in jaar 1 en één in jaar 2.) De volgende voorwaarde (Artikel 3.6 van de EAR, te vinden in je Student Portal onder Organizations) geldt: “Except in the event of extraordinary circumstances, all Honours Programme course units have a 100% attendance requirement, which includes preparation for and active participation in the course units."
Opgenomen in	Opleiding Jaar Periode Type Petrus Camper Leergang - Honours College  (Vaardighedenmodules) 2 semester II a keuze