SHE Annual Report 2023

Download our Annual Report from 2023.
SHE

The Diversity, Equity and Inclusion+ Office developed the first DEI+ Academic Calendar in 2020. Since then, the calendar annually marks the enriched diversity of the Maastricht University community. It honours various events, among which UM events, international commemorations, and religious holidays. Through input from our UM community, the calendar is updated every year.

Online now! Diversity Equity Inclusivity+ Academic Calendar 2025/26

Printed copies of the calendar will be available at your UM location the last week of August. Look for the green bucket!

Or, get the digital version now:

  Download the Diversity Equity Inclusivity+ Academic Calendar 2025/26

Diversity Equity Inclusivity plus Academic Calendar 2025-2026

Why a DEI+ Academic Calendar?

Through the calendar we aim to raise awareness about meaningful days for community members from different backgrounds. The calendar showcases important days for the international UM community, local and Dutch holidays, international remembrance and awareness days, religious holidays, and school holidays for the Netherlands, Nordrhein-Westfalen and Belgium.

Over the past five years quite some changes were made to the calendar. Every year the DEI+ calendar included more important dates thanks to input from the UM community.

The DEI+ Office tries to find a balance in representing the major holidays and commemorations important to the UM community. Ultimately, all days are chosen in a collaborative community effort. The DEI+ Office reserves the right to decide whether a day appears on the calendar. 

Give Us Feedback

The DEI+ Office is open to suggestions for additions or adaptations to the calendar. If you feel something is missing or needs changing, you can contact us at diversity@maastrichtuniversity.nl. We’d love to hear what you think! 

Archive of DEI+ Academic Calendars

Relevant content:

  • fits within UM’s goals
  • supports a user’s task
  • is of sufficient quality for publication
  • is honest
  1. Relevance check 1: UM’s goals
    This content contributes towards <goal> by <specific content> because <result>.

    For example: This content contributes towards <attracting the right people> by <providing insight into life in Maastricht> because <it provides students with an idea of what their life would be like >.
  2. Relevance check 2: User’s task
    This content enables <target audience> to <conduct task x> because it answers the question <specific question of the target audience>.

    For example: This content enables <prospective students> to <find a suitable scholarship> because it answers the question(s): <what are the conditions, do I fit within the criteria, how do I apply and how much can I receive>
  3. Relevance check 3: Sufficient quality
    High quality content:
    1. is correct and complete
    2. provides evidence (show, don’t tell)
    3. complies with web guidelines (both text and image)
    4. is schedule correctly and provided through the right channel
    5. assumes the most appropriate format  (a list, a story, text, image, or video) for the goals and tasks of the content
  4. Relevance check 4:
    We should provide an honest image of everything at UM. Images should be ‘real’, not staged. They should give the visitor the idea that they are situated in the midst of it all. We should address readers directly, in a friendly manner, using their language.

This names list shows which UM units should/should not adhere to the house style. We have used a quadrant model to help clearly indicate which identity different UM-affiliated units should adopt.

DATASET project validates Digital Readiness Scan and delivers key insights

  • UM news
DATASET researchers from Maastricht University (BISCI) and Fontys applied the Digital Readiness Scan developed by Logistiek Digitaal to several regional logistics service providers, scientifically validated the underlying methodology, and analyzed the strengths and weaknesses of this tool.
Illustration of synthetic data concept

Text- and data mining beyond borders

  • Law

AI needs to have access to huge amounts of data in order to be trained. In this article, I discuss the need for suitable text- and data mining exceptions in copyright law that stimulate AI development as well as enable human authors and creators to still earn a revenue. 

ai

Globalisation & Law Network seminar with Domenico Carolei

On 12 June 2024, Dr Domenico Carolei, Lecturer in Public International Law and Public Law at the University of Stirling, gave a talk entitled 'Charting NGO Accountability: Identifying alternative accountability routes'.
domenico