| Maastricht University

On Friday 26 January 2018, UM celebrated its 42nd Dies Natalis in Sint Janskerk. Around this year’s topic, "The Future of a Data-Driven Society”, two dies lectures were held and two honorary doctorates were awarded. During the ceremony, the Rector awarded the Wynand Wijnen Education Prize, the Dissertation Prize, and the Student Prizes.

42nd Dies Natalis

Impressions from the Dies Natalis

Photos by Harry Heuts

The 16 proud winners of the Bachelor Student Prizes.

The cortège gathering in at the Minderbroedersberg.

The cortège heading towards the ceremony.

This year's theme was 'The Future of a Data-Dirven Society'.

Read Rector Rianne Letschert's speech in full.

Rianne Letschert officially opening the session

Prof. Michel Dumontier held the first Dies lecture, “A social and technological infrastructure for data-driven science”.

Prof. Sally Wyatt held the second Dies lecture, “Where is the knowledge we have lost in data?”

The ceremony was held in Maastricht's Sint-Janskerk.

Ineke Schuit on the church organ

On behalf of the Board of Deans, Michel Dumontier bestowed the honorary doctorate upon Professor Carole Goble.

Carole Goble with Rianne Letschert

On behalf of the Board of Deans, Sally Wyatt bestowed the honorary doctorate upon Professor Lucy Suchman.

Sally Wyatt, Lucy Suchman and Rianne Letschert

Music was provided by ‘A Liquid Landscape’.

The 2017 Wynand Wijnen Education Prize went to Nynke de Jong, for her contribution to in particular the Virtual Learning Environment within the Faculty of Health, Medicine and Life Sciences.

All the winners of the Master Student Prize who could be present at the event, together with rector Rianne Letschert.

The 2017 Dissertation Prize went to Mark Podesta for his doctoral thesis entitled ‘Time dependent verification of dynamic external beam radiotherapy.’

Awards

An introduction to the Wynand Wijnen Education Prize, followed by an encomium to this year's winner Nynke de Jong, who was rewarded for her contribution to educational innovation within the Faculty of Health, Medicine and Life Sciences; in particular for her contribution to the Virtual Learning Environment.

The 2017 Dissertation Prize went to Mark Podesta for his doctoral thesis entitled ‘Time dependent verification of dynamic external beam radiotherapy.’

The UM Master Student Prize 2017.

You can view all videos of our Dies Natalis here.

Prof Carole Goble

Prof Carole Goble (University of Manchester) received an honorary doctorate from the Faculty of Humanities and Sciences. Watch a brief profile and the bestowal at the degree.

Prof Lucy Suchman

Prof Lucy Suchman (Lancaster University) received an honorary doctorate from the Faculty of Arts and Social Sciences. Watch her profile and the bestowal.

Symposium

Both recepients gave a lecture at the symposium 'The Future of a Data Driven Society' on the day before the Dies, which also saw the official launch of the Institute of Data Science.

Dies Lecture - Dumontier

Michel Dumontier, Professor of Data Science, gave a lecture entitled: “A social and technological infrastructure for data-driven science”.

Dies Lecture - Wyatt

Sally Wyatt, Professor of Digital Cultures, gave a lecture entitled: “Where is the knowledge we have lost in data?”

Welcome from the rector

Rector Rianne Letschert welcomes the audience and introduces this year's theme in her opening speech.

Thank you for visiting our webpage!

We hope to see you soon at one of the fairs in Spain where you can find our booth “Maastricht University”.

Madrid, Thursday, 14 of February 2019

HOTEL VILLA MAGNA
PASEO DE LA CASTELLANA, 22
28046 MADRID

Barcelona, Thursday, 7 of March 2019

Hotel Catalonia Barcelona Plaza
Plaça Espanya, 6-8
08014 Barcelona

We will be happy to meet you!

Op deze pagina zijn alle presentaties te downloaden van het FPN Minisymposium 2017 Veiligheid en (cyber)pesten in het onderwijs.

Downloads

Presentations

Video

FPN_Mini_Symposium_2017_howtostopbullying Gill ten Hoorn

Would you like us to publish your Data Science Vacancy here?

Please contact info-ids@maastrichtuniversity.nl and mention 'Community Vacancy' in the subject title of your e-mail.

We're looking forward to hearing from you!

Vast amounts of data are being generated across all segments of society. If taken advantage of, these data offer an unprecedented opportunity to accelerate scientific discovery, to improve healthcare and wellbeing, and to strengthen our communities. The data science community of Maastricht University is home to multiple institutes covering a wide range of expertise.

Data-Driven Decision-Making (D3M)

School of Business and Economics (SBE)

D3M’s team focuses on key research areas including disruptive technologies and business models, consumer and workforce analytics, risk and uncertainty quantification, big data’s role in official statistics, pensions, financial markets and asset pricing, micro- and labour economics, digital platforms, and fields such as large-scale optimisation (both applied and theoretical) and related mathematical systems.

Brightlands Institute for Smart Society (BISS)

Faculty of Science and Engineering (FSE)

The Brightlands Institute for Smart Society (BISS) is UM’s platform for translational data-driven research and education, joining expertise and staff from all six UM faculties. It offers a flexible, agile, and state-of-the-art Living Lab environment that nurtures collective intelligence and integrative thinking. Multidisciplinary activities are projects, partner agreements and programs.

DataHub

Maastricht UMC+ (MUMC+)

DataHub provides research data management services to researchers in both the Faculty of Health Medicine and Life Sciences and the academic hospital, and works continuously on innovative research driven solutions. The DataHub mission is linking community and technology to enable FAIR data.

Department of Bioinformatics (BiGCaT)

Faculty of Health Medicine and Life Sciences (FHML)

BiGCaT is involved in (inter)national initiatives to collect, share and integrate biological data.

Department of Advanced Computing Sciences (DACS)

Faculty of Science and Engineering (FSE)
The Department of Advanced Computing Sciences - sometimes abbreviated as DACS - is Maastricht University’s largest and oldest department broadly covering the fields of artificial intelligence, data science, computer science, mathematics and robotics.

Department of Toxicogenomics (TGX)

Faculty of Health Medicine and Life Sciences (FHML)

At the Dept. of Toxicogenomics (TGX), a multidisciplinary team of biologists, chemists, toxicologists and bioinformaticians is working in close collaboration to establish the biological impact of exposures to potentially toxic compounds.

Data Science - Community - Toxiogenomics

Institute of Data Science (IDS)

Faculty of Science and Engineering (FSE)

The mission of the Institute of Data Science is to foster an interfaculty environment for collaborative innovation in the development and application of data science technologies.

Maastricht Centre for Systems Biology (MaCSBio)

Interfacultary - FSE, FPN

The Maastricht Centre for Systems Biology (MaCSBio) aims to develop a set of computational and mathematical models, applicable in science and clinic, that will advance our understanding of biological systems, and predict progression and treatment of complex diseases over time.

Maastricht European Centre for Privacy and Cybersecurity (ECPC)

Faculty of Law

The European Centre on Privacy and Cybersecurity offers a platform for research focused on legal issues related to personal data protection and cybersecurity.

Maastricht European Centre on Privacy and Cyber-security header image

Maastricht MultiModal Molecular Imaging Institute (M4I)

Interfacultary - FSE, FPN, FHML

The Maastricht MultiModal Molecular Imaging Institute (M4I) is a state-of-the art molecular imaging institute that brings together a powerful palette of high-end, innovative imaging technologies.

Maastricht Study

Maastricht UMC+ (MUMC+)

The Maastricht Study is an extensiveness phenotyping study that focuses on the etiology of type 2 diabetes. The Maastricht Study is expected to become one of the most extensiveness phenotyping studies in both the general population and type 2 diabetic participants world-wide.

Data Science - Community - Maastricht Studie

Clinical Data Science

Maastro

In the Clinical Data Science division of Maastro we build privacy preserving clinical data infrastructures, learn models from data to predict cancer outcomes and build model-based decision support systems for better cancer care.

Data Science - Community - Clinical Data Science

Law and Tech Lab

Faculty of Law
The Law and Tech Lab conducts both academic and practical research on various themes such as digital forensics and compliance, as well as on topics like consumer protection, drones, and privacy. This research utilizes different data sets, including legislation, case law, and social media data. The Lab employs a variety of methods, including legal analysis, natural language processing, machine learning, and network analysis.

Faculty of Arts and Social Sciences: The importance of ELSI

Data, information, knowledge and understanding has always driven society - the revolution of new methodologies and technologies that we are developing and discovering today push that drive into hyperspace!

Data as a commodity has commercial value, social value, and personal value. Privacy as the dynamic boundaries of relationships between people is challenged by this data revolution. We cannot necessarily rely on traditional, established understandings of society to meet the challenges of this revolution. The revolution challenges us to re-imagine who we are, how we relate to each other, and who we want to be.

Our work examines how existing ethics and law approaches impact on the new methodologies of data science, and how those new data science methodologies challenge on our understandings of law and ethics. We work on the governance of data use. We look at how data are controlled, at the interfaces of privacy, of individuality and solidarity. We ask how we can achieve a consistency between individuals’ different and often competing and conflicting expectations in society. We seek to reconcile those different expectations - between expectations of privacy and the open data society.

What does ELSI stand for?

Ethical, Legal, and Social Implications

Links
FASoS Research Institute
Health, Ethics & Society (HES)

Registration Kapuscinski Development Lecture

The inter-disciplinary project looks at global trends and dynamics with a focus on multidimensional globalization and the Ecological Footprint as a proxy for human pressures on the environment. Further, the research deconstructs the global policy discourse(s) on the (green) economy, climate change and health & well-being and thereby reveals the underlying values and worldviews.

The coffee production system in Indonesia is mainly characterized by smallholder production (90%). It is also a sector with several (competing) global certifying entities, some of which have a partnership structure. These certifying partnerships have somehow restructured the coffee supply chain in Indonesia, although its magnitude might not be as large as the impact potentials on strengthening the social capital and improving the community-cooperative governance in the producing regions. The partnerships generally require establishment of farmers’ organizations and locally adopted conducts. However, many of these standards provide no guarantee that direct benefits, particularly price premiums, would reach farm laborers or local communities.

Partnerships that certify agricultural commodities should be taken seriously by governments because they represent legitimate expressions of societal perspectives. However, they also create dilemmas for them, as they need to find a new balance between public and private responsibilities. Current research shows a lot of uncertainty among governments on how to react. This is further complicated by the variety of certifying arrangements and the competition among them. Moreover, from various studies it has also become clear that the effectiveness of private certification strongly depends on governmental policies.

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