During the programme
The MDDD curriculum is built around three learning tracks: Concept, Technology and Human, each covering various aspects of data driven design. They are mixed in a programme of three themed blocks.
The curriculum is largely based on the demands and challenges of real-world situations. This means you will be able to work on genuine, data-driven solutions based on your passions, interests, and expertise. In this setting, you quickly develop a good sense of what you have to offer as a digital creative, as well as how to position yourself within a multidisciplinary team of professionals.
Content of the Master Data-Driven Design
Concept
Digital technology transforms society on a fundamental level and generates data on an unprecedented scale. Advancements in machine learning and artificial intelligence allow us to transform these large amounts of data into valuable information. This course introduces important theories and concepts that help with explaining what role data and digital technologies have in modern society. It critically investigates the historical developments that led to the current age of big data, artificial intelligence, and increasing digitalisation. In order to assess why digital technology has become so ubiquitous and how it changes the way societies are built up, we need to understand crucial concepts first:
- datafication
- digital transformation
- digital cultures
- artificial intelligences and machine learning,
- digital identity
- data ecologies and data-driven feedback loops
- data literacy and digital ethics
- value sensitive design
Future data professionals and designers create the technological solutions that make these concepts manifest and so influential on our social environment; they have profound political, economic, and cultural implications. All of this raises important questions about the role of digital ethics and data literacy to build a digital society that is fair, inclusive, and sustainable. What can we learn from past mistakes? How can we try to avoid future disasters?
Human
Digital communication technologies have penetrated many of our daily activities. Reading the newspaper, controlling household appliances, shopping for a pair of jeans, managing bank affairs, communicating with friends and family, monitoring our health, or going on a date. All of these activities, small and large, have been mediatized and digitized due to the digitalization of society. As a result, there is a growing need to unravel the influence of media and (communication) technology on individuals, groups and society as a whole.
Media psychology is a burgeoning field, focusing on the psychology behind media and (communication) technology use and impact. Hence, it is also referred to as the “interface between media and the human response” (and in that sense a preparation for block B: Designing for Interaction, which specifically focuses on interfaces). In New Media Psychology, you will learn to critically assess human interaction with media and (communication) technology, by using a psychological lens. Such a lens is essential in the preparation for your various job roles in various industries that involve mediated communications and information technologies, including but not limited to: media producers, interaction designers, (UX-)researchers, public relations and advertising specialists, content strategist but also health providers, educators and policy makers.
Technology
In the science fiction novel 2001: A Space Odyssey, a group of man-apes encounters a monolith, which grants them the ability to use tools and weaponry for hunting and fighting. These newly found abilities dramatically shifted human evolution. The encountered monolith was one of many throughout the galaxy and represented machines built by an unseen extraterrestrial species. Metaphorically, you, as a practitioner with a background in design, media, communication, or journalism, are encountering more and more of these “new machines”. These new machines provide you the opportunity to make use of new data science techniques in order to change the world. Many of these data science techniques, however, are developed by computer scientists and seem daunting and less accessible for you as a practitioner. This is why this course was designed. To help you unlock the power of data through code.
This course advocates that code literacy is essential to overcome limitations and open up black boxes. Code is a crucial requirement to participate in this new digital world. Even without choosing to become a professional or being a full-time software developer, understanding how code affects (almost) everything around us nowadays is vital! Everyone can push a button in Power BI, but not everyone understands the intricacies of code. Coding teaches us to think in different ways, to identify, break down, and solve problems, to re-use things that others have made, and integrate them into your own creative process.
Concept
In the current digital landscape, the design of an interface is of crucial importance. After all, it is through the interface that we establish a meaningful interaction between humans and computers. With recent developments in AI, interfaces become more intelligent every day. They automatically adapt to the user's behaviour, without specifically asking what their preferences are. Or recommend new products based upon similarity with other users. A subtle balance, between aiding a user in their tasks and being annoying in thinking what’s best for a user. Designing for such intelligence interfaces is more complicated than seems at first glance.
Technologies to converse with a user have also become more human. Intelligent interfaces can feel empathy with a user and know how to respond in certain situations. Conversing is also more natural, through natural language and combining more modes, like speech and visual. Smart Interface technologies which will shape the way we interact with machines.
Human
This course focuses on the human aspects of the interface: what are the motivations and expectations of the users that engage with digital media technologies? How do they experience encounters with technology - and what insights can help designers with improving "user experience"? What are the social and (media-) psychological dynamics that drive user experiences? what components and factors play a role in the user experience eco-system?
In this course, we take an interdisciplinary perspective that links media psychology, social psychology, and research on human-computer interaction. Focus is placed on concepts, definitions, operationalisations, metrics, methods, and data analysis that yield useful insights for data-driven design processes. We further emphasise the role of both research ethics and design ethics by reviewing and applying hands-on tools for applied ethics.
Students learn how to critically discuss and define (a) the concepts of user experience and engagement, b) how they evolve in ecosystems of different social forces, (c) how user experience and engagement can become measurable through operationalisation, and (d) how to stimulate behavioural changes in ethically acceptable ways. As a result, student gain a better understanding of the ways in which a digital concept can be designed to enrich experiences, so that they (continuously) invite people to engage with it.
Technology
The user interface is at the heart of all data-driven concepts. While interacting with an interface, the user creates interaction data. This interaction data can be direct, e.g., filling in a form or choosing a movie and indirect, e.g., the location of the user or the type of device. These interactions are reciprocal: the user generates data and the data-driven concept in turn communicates with the user. Recommendation systems can be used to illustrate this concept. An interface can suggest which movie to watch, what newspaper article to read, what product to buy or how a game adjusts the level of difficulty. These are all examples of reciprocal interfaces. However, in order to be able to do so, the data-driven concept has to learn from the many user interactions in order to become more valuable over time.
The Fundamentals of Machine Learning course focuses on learning from the constant feedback loops between human and machine. We will employ traditional statistics and machine learning to analyse these feedback loops, i.e. machine learning.
Concept
The process of digitization fundamentally changes the heart of any organization, whether it is a city, a government or a company. Advanced technologies facilitate processes like crowdsourcing, in which huge user-crowds are transformed into an organization’s collaborative workforce, blurring the line between employee and customer. Next to that, technologies like Blockchain allow us to build decentralized networks that facilitate and capture any kind of (value) exchange and that, via smart contracts, secure agreements and establish trust. It is the combination of these kinds of strategies and technologies that gradually will lead to new kinds of Decentralized Autonomous Organizations (DAO’s).
In this course, you will learn how the right allocation of creativity, value, and technology may strengthen core processes. If these core processes are indeed well chosen, the combination of almost unlimited computation and (user) interaction may result in organizations and networks that scale.
Human
This course is designed to prepare students for their graduation. During graduation, students have to develop a working prototype of a data-driven concept, and an academic paper that could be submitted to a conference and/or journal. The prototype can be used as a proof of concept for the research or as a tool to aid the research process. In any case, the prototype and academic paper are closely intertwined.
To prepare the students for this challenging task, they will write a convincing and feasible graduation proposal (i.e., a road map to guide students during the final stage of their education). The course Creative Research supports the writing process, and includes sparring on concept development and scoping, support in scholarly research (academic reading, writing, literature search, APA), methodology, research planning and analytical thinking. In essence, the course focuses on writing a preliminary version of the academic paper.
Technology
In 'State of the Art Technology', students are challenged to explore new technological innovations and learn how to master them for their research quickly. Through the use of critical thinking, play, experimentation, and hands-on making practices, students research a problem space of their interest, explore the possibilities offered by the technology of their choice, and expose its limits.
The course encourages participants to forego procedural design modes in favour of critical making. Students become creative scientists and autonomous critical makers. Rather than create prototypes to validate ideas of products, students develop prototypes as an instrument to initiate a critical and social reflection on technologies.
Examples of state of the art technologies include (but are not limited to) deep learning algorithms (image recognition, natural language processing such as GPT-3, voice processing), voice-controlled interfaces, smart cities / IoT and quantum computing.
The final block (D) of the MA programme is dedicated to the Graduation Project (GP). For the GP, students work on a data-driven solution for a practical problem. It consists of two parts: an academic paper and a prototype. Student write a research proposal as the basis for both already in the Creative Research course (in block C).
The GA asks students to discover how data-driven design can enrich users lives and create value in a domain of their choice. They need to connect their diverse skills in creating data-driven solutions, critical thinking, creativity, and research to complete this challenge.
Graduation Project
In the graduation project, students show that they have become confident discourse participants with a sound academic understanding of datafication and the digital transformation but also practice-focused designers of data-driven solutions.
The learning goals include: (1) the ability to research, analyse and understand the use of data in specific contexts of use; (2) to develop data-driven concepts that fit the research problem and are potentially scalable for value-creation; (3) to develop and test a data-driven prototype built in code with an engaging interface; (4) to critically evaluate the development process and the potential impact of the proposed prototype on the domain in focus; (5) and to communicate this clearly to diverse audiences of relevant stakeholders.
The graduation phase hence unites the three tracks of conceptual, human, and tech in one project.
Want to know more about this programme?
This full-time programme expects you to be available to engage in educational activities at the University for forty hours a week.
Students and lecturers form an active learning community in which we aim to develop strong social cohesion. You will be expected on Campus for an average of three days a week, plus two days of self-study. There will be lectures, the Coding Club for extra support with coding assignments and several guest lectures. At times, you will participate in design sprints and pressure cookers, during which you work in a team on design processes.
We expect you to shape your own learning process. An important tool is our digital learning environment (DLE). The DLE enables you to prepare for classes, alone or in groups. Not only does this grant you a lot of flexibility as to when and where you study - face-to-face teaching time is much more valuable when you come into class well prepared.
Important parts of the curriculum are about interacting with professionals from the creative field. You work with them on a variety of actual problems that businesses encounter or that are happening in society at large.
The Data-driven Design lecturers
Bob Cruijsberg
Senior lecturer
Bob is senior lecturer and coordinator at the Communication and Multimedia Design program (B), as well as at the master Data Driven Design. He is specialized in User Experience Design and Interaction Design and curriculum design, with a lot of experience in coaching students who work on projects for clients.
Bob has been committed to the HU since 1996 and has helped designing the curriculum of several programs, including International Communication and Media (currently called Creative Business), and Communication and Multimedia Design. For the latter he received the ‘HUgenotenprijs’ of 2010, an award for outstanding performances by staff members and students of the HU.
Aletta Smits
Lecturer
Aletta is one of the coordinators and developers of the master Data Driven Design and a real all-round teacher (and student). Since 2011, she has had different positions within the HU. She is currently acting Head of Research (lector) in the research group Human Experience and Media Design and specializes in Data Mining and Engagement Metrics.
Next to that, she teaches data science, machine learning, user experience design and psychology. In her spare time, she studies Cultural Sciences at the Open University and gives presentations on the development of the adolescent brain.
Erik Hekman
Lecturer
After his master's in Media Technology, Erik developed and taught different technology related courses at the HU. He has been a lecturer at the programs Communication and Multimedia Design, Digital Media and Communication and International Communication and Media (currently called Creative Business).
Currently, he is developer of the master Data-driven Design and his activities consist of supervising students and coordinating the technology track. Erik is also a researcher at the research group Human Experience & Media Design. His research focuses on how technology shapes public value.
Dennis Nguyen PhD
Lecturer
Dennis Nguyen received his PhD in media and communications from the University of Hull, UK. His thesis discusses online public spheres and political communication, with emphasis placed on transnational political discourses.
Since 2015 he works as a senior lecturer, researcher, and graduation coordinator for the Creative Business program (B, formerly International Communication and Media) and the Data-Driven Design program at the HU. His current research focuses on the impact of digital media and datafication on public discourses and data ecologies.
Further fields of interest and expertise include media convergences, citizen journalism, conflict research, and empirical methods for media analysis. Aside from his academic endeavours, he was able to gather practical experience in journalism, public relations, online marketing, and academic research projects. You can read more on his ideas and publications at www.dennis-nguyen.com.
Rhied Al-Othmani
Rhied Al-Othmani has diverse graphic design experience, having worked on projects ranging from print to web and branding for a wide variety of clients over the past nine years. Along with her current position as a lecturer at BA CMD, the Master, she is also the Study Career Counsellor for the students and a member of the Study Programme Committee.
In 2011, Rhied received her BA in Digital Communication from HU and in 2020 her MA degree in Data-driven Design. Her enthusiasm for user experience, combined with an insatiable thirst for knowledge, drew her gradually into research and education.
Her other interests are the development of conversational agents, open government data, and the knowledge and tools necessary to comprehend, interpret, and apply open data.
Simone de Droog PhD
Lecturer
Simone de Droog obtained her PhD in Communication Science at the University of Amsterdam and works as a senior researcher in the research group Human Experience & Media Design (HEMD). She has a broad background in media, behavioural psychology and marketing communication, and specific expertise about youth (2-21-year-olds), social marketing (interventions), experimental research, and relationships with characters, robots and other forms of non-human communication.
She has worked for many years as a researcher and teacher at the University of Amsterdam, Radboud University Nijmegen and the University of Applied Sciences Utrecht (Communication, CMD, Master DDD). The courses she taught are very diverse. For the Master Data-driven Design, she is the coordinator and teacher of the course Creative Research, in which students are prepared for graduation by writing a convincing and feasible graduation proposal. The course focuses heavily on academic writing. She is also an examinator of the graduation projects.
Her ambition is to use her knowledge to improve the wellbeing of young people, working on projects that concern health, happiness, empowerment and play. She also tries to learn Italian, hoping to someday speak it fluently...