My UM
My UM
Search

Privacy statement Maastricht University

Protecting your privacy is important to Maastricht University (UM) and UM therefore treats your data with care. UM is the controller of your personal data. This privacy statement explains how UM handles personal data.

This privacy statement specifically relates to the the use of Qualtrics by the Department of Advanced Computing Sciences (formerly Department of Data Science and Knowledge Engineering or DKE) Student Affairs Office and/or events coordinator and/or scientific staff, with the purpose of organizing logistics around education and education-related events within the Department of Advanced Computing Sciences.

UM also has a general privacy statement, which you can find on www.maastrichtuniversity.nl. This general privacy statement regulates the processing that is not specifically mentioned in the present privacy statement. Here and there, reference will be made to this general privacy statement for more information.

Contact information

If you have questions about this privacy statement, if you want to know more about how UM handles personal data or if you have a complaint, you can contact:

Maastricht University
T.a.v. Data protection officer
PO Box 616
6200 MD Maastricht
privacy@maastrichtuniversity.nl

You can also contact the UM data protection officer directly via fg@maastrichtuniversity.nl.

The addresses above are only intended for contact in relation to privacy issues. They are not intended for communication on other matters.

Which personal data the UM processes

In the context of organizing logistics around education and education-related events, UM processes the personal data that you enter yourself.

Purposes

UM processes the above personal data with the following purposes:

Organizing logistics around education and education-related events. Examples of such purposes include, but are not limited to

  • Booking courses for you

  • Enrolling you for online education or online exams

  • Registering you for study introduction activities

  • Registering you for graduation ceremonies

Processing ground

When UM processes your personal data, this processing is based on a processing ground. A processing ground is the reason why personal data is processed. UM processes your personal data based on the following processing ground (s):

  • Consent

Permission

If the ground for processing is your permission, you can always withdraw this permission by contacting dke-info@maastrichtuniversity.nl. The withdrawal of your permission does not have retroactive effect.

Retention periods

Personal data is not kept by UM for longer than is necessary to achieve the purpose of the processing or to comply with a legal obligation.

The personal data entered by you will be stored no more than 24 months after you completed the form.

Recipients of personal data

Measures have been taken within UM to ensure that only the persons who must process your personal data have access to it. Your personal data is not shared with third parties.

Your rights

The privacy legislation gives you a number of rights with regard to your personal data. These rights are listed briefly below. You will find more information about each of these rights and how you exercise these rights in the general privacy statement on the UM website.

You have the right to view, correct and delete your personal data. In addition, you have the right to limit the processing, to have your data transferred to another party and the right to object when processing is based on a legitimate interest.

If you want to exercise one of the rights below, you can contact us in writing via privacy@maastrichtuniversity.nl or directly through the data protection officer via fg@maastrichtuniversity.nl.

If you have a complaint about the processing of your personal data by UM, you can contact UM about this via the contact details above. You also have the right to submit a complaint to the Dutch Data Protection Authority. You can read how to do this on the website of the Dutch Data Protection Authority.

Rector Magnificus Maastricht University

Prof. dr. Pamela Habibović (1977) is Professor of Inorganic Biomaterials at Maastricht University. Since February 2022, she holds the position of Rector Magnificus of Maastricht University. Pamela was a founding partner of MERLN Institute for Technology-Inspired Regenerative Medicine, established in 2014, and Chair of MERLN’s Department for Instructive Biomaterials Engineering. Between 2019 and 2022, she was the Scientific Director of MERLN.

Initially trained as a chemical engineer, in 2005, Pamela obtained a PhD degree from the University of Twente, the Netherlands on the topic of materials for biomedical applications. Following postdoctoral research at Children’s Hospital Boston and McGill University, in 2008, she started her research group at the University of Twente. In 2014, she moved to Maastricht University. The main focus of her research is on synthetic bone graft substitutes, bioinorganics, nanomaterials for theranostics in regenerative medicine and high-throughput approaches in biomaterials research. For her research she received prestigious Veni, Vidi, Aspasia and Gravitation grants of the Dutch Research Council NWO, among other external research funds.

Pamela Habibović served as the President of the European Society for Biomaterials between 2017 and 2021 and as an Associate Editor of the RSC journal Biomaterials Science between 2019 and 2022. In 2017, she received the Jean Leray Award of the European Society for Biomaterials and in 2021 she was elected a Fellow of the Royal Society of Chemistry. She has published over 100 peer-review articles on the topic of biomaterials and regenerative medicine.

Contact Rector's Office

Janice Jacobs 
+31 43 38 83153

rectoraat@maastrichtuniversity.nl

Current additional positions related to the position as Rector Magnificus

  • EWORA, Institutional Member
  • Nederlands Studenten Orkest, Member Board of Recommendation
  • Philharmonie zuidnederland, Ambassador
  • Research Project Maastricht, Member Board of Recommendation
  • Student Wellbeing, Member/President Advisory Board
  • SWUM, Board Member/President
  • Universities of the Netherlands, Member Steering Committee SOO
  • Universities of the Netherlands, Member of the Conference of Rectors
  • Regiegroep Studiesucces Caribische studenten, Member

Research publications

 Prof. dr. Pamela Habibović

Other additional positions:

  • Elsevier Journal Acta Biomaterialia, Editorial Board member
  • RegMed XB, Member Strategic Advisory Board 
  • Royal Society of Chemistry Journal Biomaterials Science, Editorial Board member
  • Wiley Journal Advanced Healthcare Materials, Editorial Board member 

  • Ministry of Education, Culture and Science, Member of the Advisory Board Starters and Incentive grants 

  • Bioceramics 34 conference, Member International Science Commission

  • World Biomaterials Congress 2024, Member International Advisory Board

SDG Seminar Series presents Sustainability and Circularity (SDG 12)

Privacy statement

Privacy statement Maastricht University

Protecting your privacy is important to Maastricht University (UM) and UM therefore treats your data with care. UM is the controller of your personal data. This privacy statement explains how UM handles personal data.

This privacy statement specifically relates to the automated matching tools for the bachelor’s programme in Data Science and Artificial Intelligence and Computer Science.

UM also has a general privacy statement, which you can find on www.maastrichtuniversity.nl. This general privacy statement regulates the processing that is not specifically mentioned in the present privacy statement. Here and there, reference will be made to this general privacy statement for more information.

Contact information

If you have questions about this privacy statement, if you want to know more about how UM handles personal data or if you have a complaint, you can contact:

Maastricht University
T.a.v. Data protection officer
PO Box 616
6200 MD Maastricht
privacy@maastrichtuniversity.nl

You can also contact the UM data protection officer directly via fg@maastrichtuniversity.nl.

The addresses above are only intended for contact in relation to privacy issues. They are not intended for communication on other matters.

Which personal data the UM processes

In the context of giving matching advice, UM processes the personal data that you enter yourself as you participate in the matching survey.

Purposes

UM processes the above personal data with the following purposes:

  • Sending you a summary of the provided information upon your explicit request;
  • Forwarding your answers and question(s) to the matching team for additional feedback upon your explicit request;
  • Evaluating and thereby improving the performance of the matching tool;
  • Evaluating and thereby improving the quality and availability of the information UM provides to prospective students.

Processing ground

When UM processes your personal data, this processing is based on a processing ground. A processing ground is the reason why personal data is processed. UM processes your personal data based on the following processing ground (s):

  • Consent

Permission

If the ground for processing is your permission, you can always withdraw this permission by contacting dke-info@maastrichtuniversity.nl. The withdrawal of your permission does not have retroactive effect.

Retention periods

Personal data is not kept by UM for longer than is necessary to achieve the purpose of the processing or to comply with a legal obligation.

The personal data entered by you will be stored no more than 24 months after you completed the form.

Recipients of personal data

Measures have been taken within UM to ensure that only the persons who must process your personal data have access to it. Your personal data is not shared with third parties.

Your rights

The privacy legislation gives you a number of rights with regard to your personal data. These rights are listed briefly below. You will find more information about each of these rights and how you exercise these rights in the general privacy statement on the UM website.

You have the right to view, correct and delete your personal data. In addition, you have the right to limit the processing, to have your data transferred to another party and the right to object when processing is based on a legitimate interest.

If you want to exercise one of the rights below, you can contact us in writing via privacy@maastrichtuniversity.nl or directly through the data protection officer via fg@maastrichtuniversity.nl.

If you have a complaint about the processing of your personal data by UM, you can contact UM about this via the contact details above. You also have the right to submit a complaint to the Dutch Data Protection Authority. You can read how to do this on the website of the Dutch Data Protection Authority.

Is your organization struggling with a sustainability challenge? Are you trying to decide what strategy best to pursue to meet your sustainability targets? Do you also find it difficult to decide on what to do? Our students can help you out!

On behalf of the UM Maastricht Sustainability Institute we are putting out a call for potential clients for our Integrated Sustainability Project. During this project, our master students will conduct research for an external client.

Between March and May of this year, our students will work full time for eight weeks on your sustainability related questions in small teams of 5 to 6 students.  The students will analyze a sustainability problem, collect data, formulate and evaluate potential solutions, and report their findings to you.

Our students come from a wide range of backgrounds, work-experiences, and nationalities. The research they will conduct will reflect this broad skill set. An ideal project would therefore be a broad strategically related sustainability assignment. Assignments of the category: ‘How might we rethink and develop our sustainability strategy, and communicate this to our client?’ or ‘What strategies can we pursue to competitively anchor sustainability in our organization?’ would fit these projects. Research questions of the category ‘How much energy does our production line use and how can this be reduced?’ that are of a purely technical nature fall outside of the scope of these projects.

We have been conducting these projects since 2011 and have a long history of satisfied clients who worked with our students. Through the use of integrative methods our students can provide clear, well supported advice for your challenges. This takes the guesswork out of your decisions for the sustainability of your organization. Experience has shown us that oftentimes our students can find creative and surprising new opportunities to tackle stubborn problems. Clearly explaining lessons learned based on factual data.

As the Integrated Sustainability Project is part of the student’s learning process, it is free of costs. The students will be supervised by the university. Regarding your own involvement, someone from your organization should be available to the students for questions about relevant stakeholders and reports.

DEADLINE: A first proposal for an assignment can be submitted until February 1st, and the proposal should be finalized mid-February.

 

Previous Projects

Topic Client
Critical success factors for community heating networks Rabobank Duurzaam Wonen Limburg
Reduce landfill of transport belts Lubrizol / Ammega
Best solutions for decentralised energy C-MILL
Sustainability, innovation and the multiple helix: synergies in water management Waterschap Limburg
Sustainable drinking water production: minimizing water losses WML
Feedstock transition – evaluation of social acceptance of agriculture for chemistry usage Brightlands Institute for Supply Chain Innovation
Mobility hubs for sustainable mobility in Rotterdam  Municipality Rotterdam  
Managing Used Mixed Plastics SABIC Limburg
The contribution of the sharing economy to sustainable urban development Gemeente Heerlen
Aiding hospitality SME's in the energy transition LIOF
Sustainability Assessment for policy development municipality Valkenburg Gemeente Valkenburg
Trees for Urban Sustainability Gemeente Maastricht
Circular Building in Parkstad Stadsregio Parkstad Limburg
Towards a campus greening vision and strategy Maastricht University
Circular agrofood supply UrbanPonics BV
Role of hydrogen in the energy transition in Limburg Stichting WéL
Consumer willingness to use reusable take-away containers (RTC's) Searious Business BV
Accelerating the energy retrofitting bandwagon Volta Limburg BV
Exploring DSM's strategies in the Dutch nitrogen crisis DSM NV
GEM Energy - New models of energy supply Gemeentelijke Energievoorziening Maastricht
Flexible homes for flexible lives Zonnige Kempen
The role of lower income groups in a (just) energy transition In de tussentijd BV
Sustainable Mobility in South Limburg Maastricht Bereikbaar
Transformation of the ENCI mining area Ontwikkelingsmaatschappij ENCI-gebied
Transitioning towards circularity in the building industry: the case of Royal Mosa Royal  Mosa NV
   

 

UB Tapijn

Data driven innovation is increasingly a key success in bringing integral solutions in the healthcare sector. In the recent years, the abundance of data and in particular in the consumer sectors has led to a rapid development of machine learning techniques enabling the study of consumer behaviours for the sake of improved and personalized services. While the healthcare sector is enjoying rich data, extracting value to serve patients’ health is not straightforward. Above all, patient privacy and safety must be maintained and governed with regulatory processes entailing the use of data and extracted value to serve patients’ outcome with measured cost and burden on the healthcare system and professionals. Therefore, by taking the human central approach in our daily work, we seek meaningful innovation in data science enabling professionals to deliver the best to their patient at lower cost. Philips has a long history in developing successful healthcare solutions. In this presentation, I will follow the path of data-to-value focusing on a medical use case and demonstrating how a human centric technological solution is bringing value in healthcare.

Dr. Calina Ciuhu-Pijlman grew up in a small danubian town in Romania, and her passion for mathematics began in her childhood, enjoying solving problems and math puzzles, as well as reading about famous mathematicians and history of science. She studied physics and graduated in 1998 from Babes-Bolyai University Cluj-Napoca, Romania, with a thesis on supersymmetry and supergravity. In 2003 she received her PhD title in theoretical physics from Vrije Universiteit Amsterdam. In the same year she joined Philips Research and worked on various applications areas, such as picture quality, image analysis and pattern recognition in medical applications, and  developing new sensing technologies for patient monitoring, combining data analysis with methodology from theoretical physics. Her current interest is particularly in technology that enables a human centric interaction with medical data for healthcare professionals.

Go back to the WiDS Maastricht 2022 event page

Dr. Calina Ciuhu-Pijlman
Dr. Calina Ciuhu-Pijlman

Video

The digitization of the healthcare system and particularly an artificially-intelligent health Made in Europe remains a difficult undertaking. Grounded in science and highly regulated by the government, health care is a very challenging sector with many stakeholders and hard to navigate. Young and innovative startups are the right mechanisms to bring new technology to the market, but they are confronted with many challenges that make it hard to exploit the big potential of AI. Zana, founded and led by Dr. Hoxha,  is one of those startups in the German KI Landscape working to drive digitalization forward in Health.

The talk presents the innovative Conversational AI technology of Zana for building chatbot and voice assistant systems that can communicate in natural language and accompany patients on their healing journey. A glimpse is offered to the commercial solutions and the various projects where the technology is deployed. The talk further addresses from the personal experience as founder the challenges of bringing innovation to a risk-averse market, mechanisms that help to overcome such difficulties, and the role Universities play to transform the high quality of European research into a competitive, commercializing approach.

 

Dr. -Ing. Julia Hoxha is founder and CEO of Zana Technologies GmbH, an AI healthtech startup offering innovative Conversational AI technology for voice and chatbot applications in healthcare. Before founding Zana, she completed her PhD at KIT and performed PostDoc work as scientific researcher at Columbia university the field of AI and medical informatics. She is now head of Working Group “Health” at the German AI Association.

Go back to the WiDS Maastricht 2022 event page

Dr. Julia Hoxha
Dr. -Ing. Julia Hoxha

Video

In this talk, we will investigate cancer treatment as a game-theoretic contest between the physician’s therapy and the cancer cells’ resistance strategies. This game has two critical advantages for the physician: (1) Only the physician can play rationally. Cancer cells, like all evolving organisms, can only adapt to current conditions; they can neither anticipate nor evolve adaptations for treatments that the physician has not yet applied. (2) It has a distinctive Stackelberg (leader-follower) structure; the “leader” oncologist plays first and the “follower” cancer cells then respond and adapt to therapy.  We will learn how the physician can exploit their advantages in this game. This approach leads to evolutionary cancer therapies, i.e.  therapies that anticipate and steer treatment-induced resistance in cancer cells. We will illustrate how patient data can be utilized for that purpose and show evidence for superiority of the evolutionary therapy against standard of care from ongoing clinical trials.  

Dr. Katerina Stañková is an associate professor and Delft Technology Fellow at the Faculty of Technology, Policy and Management, where she is responsible for research in healthcare, a new emerging topic of the faculty.  She has a doctorate from the Delft Institute of Applied Mathematics in Stackelberg game theory and obtained postdoctoral experience at the French Institute for Research in Computer Science and Automation in system identification and at the Delft Center for Systems and Control in game-theory based optimal control. Before joining TU Delft, she was assistant and associate professor at Maastricht University, where she set up and led its Dynamic Game Theory team. Katerina leads a number of national and international projects, such as the European Training Network EvoGamePlus and the Netherlands Research Foundation (NWO) project “Understanding cancer through evolutionary game theory and dynamic systems theory”. She is recipient of the 2020 NWO Stairway to Impact award for designing novel cancer therapies and bringing them to clinical trials.

Go back to the WiDS Maastricht 2022 event page

Associate Professor Dr. Katerina Stañková
Dr. Katerina Stañková

Video

Data science is a booming business. Every year thousands of algorithms (if not more) are developed for all kinds of purposes, ranging from social media to grocery shopping. The same is happening in healthcare; data science is booming there as well in healthcare research. Here technologies such as artificial intelligence (AI) can be used for many purposes that can generally be classified in three aspects of healthcare: 1) prevention, 2) diagnosis, and 3) treatment. AI can aid in prevention by providing tailored advice to improve an individual’s lifestyle and thus reducing risks of disease. In diagnosis, AI can help by automatically analyzing medical images to identify disease. And in treatment AI help physicians offer patients personalized treatments or help them find the most suitable treatment for a specific disease. Despite these many opportunities, it remains a challenge to actually implement AI into the clinic. Even when patients would clearly benefit from the algorithm. In this presentation, I will describe scenarios in which AI could make a big difference in healthcare and will discuss with the audience which challenges we still face.  

Dr. Rianne Fijten is an assistant professor in the Clinical Data Science department of Maastricht University. She defended her PhD thesis in 2017, which revolved around building AI models to diagnose disease based on biomarkers. In 2017 she moved into the healthcare field and has since been actively working at implementing clinically relevant models into the clinic. Her work includes developing clinically relevant AI models, developing decision aids and decision support systems for patients and doctors, implementing those in a clinical setting, and finally evaluating the effectiveness of these tools.

Go back to the WiDS Maastricht 2022 event page

Dr. Rianne Fijten
Dr. Rianne Fijten

Video

How can we apply technology to improve healthcare? What is the best approach to deal with all digital data from healthcare that we obtain every day? What can we learn from that data? These and many more questions are inspiring the researchers and engineers worldwide. Remarkable advancements are made in data analysis for healthcare, making medical diagnosis and interventions more objective, safe and efficient. Yet, despite the growing amounts of data and AI technologies, there are still challenges. In this keynote talk we will consider examples of them: content and context in data, explainability of AI outcomes, and future developments.

Dr. Sveta Zinger received her MSc in computer science in 2000 from the Radiophysics faculty of the Dnepropetrovsk State University, Ukraine. In 2004, she received a PhD from the Ecole Nationale Superieure des Telecommunications Paris, France, for her thesis on interpolation and resampling of 3D data. Sveta held several postdoc positions in France and the Netherlands in the area of digital image understanding and content based image retrieval. Currently Sveta is an Associate Professor in the Eindhoven University of Technology. Her research concerns digital image analysis in healthcare. Sveta published 180 papers in her research domain. In 2020 she established a new Elsevier journal “Computer Methods and Programs in Biomedicine Update” in which she is currently an editor-in-chief.

Go back to the WiDS Maastricht 2022 event page

Dr. Sveta Zinger
Dr. Sveta Zinger

Video

Subscribe to