Defence of Thesis in Management Science, Lauri Neuvonen, DI

The doctoral thesis of Lauri Neuvonen, DI, “Supporting decision making in complex multiobjective problems: Practical tools and experiences from the healthcare context.”  will be publicly examined at the Aalto University School of Business on Friday, February 23, 2024.

In many countries, healthcare organizations face increasing pressure for providing more services while also suffering from lack of ressources, both problems exacerbated by aging populations. This development highlights the importance of resource efficiency. At the same time healthcare decisions often have to take into account multiple, potentially conflicting objectives, such as maximizing health benefits and minimizing resource use, and complex interactions between parts of the system. These overlapping requirements make them a challenging and, on the other hand, an interesting application area for multiobjective optimization tools. Multiobjective optimization is a methodology that helps in finding high performing decision recommendations in situations where several, potentially conflicting objectives are pursued. Recent developments in both computing power and algorithms have made such tools viable in supporting decision making related to healthcare problems of practical scope.

This Dissertation develops multiobjective optimization approaches and explores their use in three practical healthcare decision making problems: i) mitigating the impacts of the COVID-19 epidemic, ii) improving the efficiency of the Finnish colorectal cancer screening program, and iii) designing a hospital network for carrying out hip and knee replacement surgeries. These approaches help accommodate uncertainties affecting the performance of the found solutions. They also accommodate hidden or partial information about the decision-maker’s preferences. The overall focus in the approaches is on modeling the problem setting in high enough accuracy for the solutions to provide practical insights, while also being able to leverage multiobjective optimization techniques in finding the most promising solutions.

The contributions of this Dissertation are two-fold: First, it presents multiobjective optimization approaches, supported by other analytical techniques, that can be used to develop decision recommendations for real-life, complex healthcare decision making problems. These approaches help generate insights that would have been difficult to obtain without the use of model-based tools. A second, more general contribution of the Dissertation is the demonstration of the usability, challenges, and benefits of multiobjective optimization in supporting decision making in the field of healthcare.

More information about the defence

EURO 2022 in Espoo – first announcement and call for papers



We have the great pleasure of inviting you to take part in the 32nd EURO Conference to be organized in Espoo, Finland on 3-6 July, 2022.

The Scientific and Organization Committees, chaired by Dolores Romero Morales and Antti Punkka, along with Juuso Liesiö and Eeva Vilkkumaa, are preparing a conference to remember.

EURO 32nd Conference will be an excellent opportunity for the OR community to get together again in a pleasant atmosphere, and we are looking forward to meeting you in Espoo next summer!



The scientific program will include outstanding plenary, keynote and tutorial talks. Please follow the Conference website for more detailed information.



Researchers, academics, practitioners, and students interested in any branch of Operational Research, mathematical modelling or economic analysis are invited to submit abstracts or organize sessions.

Invited and contributed papers will be organized in parallel sessions. In general, sessions are part of the Conference streams, and streams are grouped in different areas. The list of areas and streams is available at

No participant can present more than one paper at the Conference.

Abstract submission system will be available online on 29 October, via the Conference website

Abstracts: max. 1500 characters; submission deadline: March 4, 2022.

Researchers who wish to organize a stream or an invited session or contribute with a paper within an invited session should contact a PC member of the corresponding area.




        Abstract submission start: Friday, October 29, 2022

        Abstract submission deadline: Friday, March 4, 2022

EURO WISDOM Forum (Women In Society: Doing Operational Research and Management Science) & first webinar

Relaying the following message from EURO

Following the EURO 2018 Women in Science and EURO 2019 Women in OR sessions, interested members of the OR community are working with the EURO Executive Committee on an initiative to create the EURO WISDOM Forum (Women In Society: Doing Operational Research and Management Science).

This initiative restates the need for gender main-streaming and affirms that OR/MS can offer exciting opportunities for all women if they have equal access to resources and adequate training. Gender main-streaming aims to integrate a gender dimension into existing institutions and practices in order to achieve meaningful gender equality.

WISDOM is a forum to support, empower, and encourage the participation of all genders in OR/MS within EURO. In particular, it aims to promote inclusivity by the following actions:1. Advise/make recommendations/highlight best practices to the EURO executive on issues facing women in OR. Such guidelines can be disseminated to EURO member societies and Working Groups. Positive progress, outcomes and activities of member societies can serve as a template for other member societies;2. Promote championing, networking and mentoring, particularly of women at the early stages of their career in OR;3. Promote a conversation around how OR can be utilised to help create a diverse and inclusive future.

In January 2020, all EURO member societies were invited to nominate one or two members to participate in establishing the EURO WISDOM Forum. At the moment, the WISDOM Forum organising committee (OC) includes 21 members from 10 European OR societies including two EURO representatives, the EURO Vice Presidents Julia Bennell and Claudia Archetti. The chair of the WISDOM OC is Paula Carroll and the Secretary is Annunziata Esposito Amideo, both from the University College Dublin, Ireland.

The WISDOM Forum will operate through three subcommittees focusing on Research, Events and Public Relations (PR). The subcommittees chairs are: Research : Paula Carroll, Events :
Renata Mansini (University of Brescia ,Italy), and PR: Tatiana Tchemisova (University of Aveiro, Portugal).

Our first event is a webinar on “Bias/Fairness and Artificial Intelligence”. You can register for the webinar and subscribe to WISDOM Forum updates by emailing
Webinar Format* Expert panellists explains data bias in their respective disciplines and application areas (~10/15 minutes each);* Roundtable discussion with audience participation (~15 minutes).

Prof Alan Smeaton is Professor of Computing at Dublin City University, Ireland and a Founding Director of the Insight Centre for Data Analytics at DCU. He will speak on Data bias in automatic image and video captioning and its impact. For more information about Alan see

Dr Claire Gormley is an Associate Professor in the School of Mathematics and Statistics in University College Dublin, Ireland and a Funded Investigator in the Insight Centre for Data Analytics and the VistaMilk research centre. Her research develops novel statistical methods for the analysis of complex data arising from substantive problems. The methods solve applied problems across a range of disciplines, including epigenetics, metabolomics, genomics, social science, sports science and political science. She will speak on Be fair to the models: the importance of assumptions in data analytics and modelling. For more information about Claire see;

Dr Fintan Costello, is an Associate Professor in the School of Computer Science, University College Dublin, Ireland. His research interests cover a number of different areas in computer science, psychology and maths. His main interests are: biases in human reasoning and decision making; processes of rational inference in cognition; the origins of bias and rationality in human thought; computational models of probabilistic reasoning; computational models of decision making. He will speak on Bias and rationality in human reasoning (and why the same biases apply to AI). For more information about Fintan see

Dr Susan Leavy is an Assistant Professor in the School of Information and Communication Studies, University College Dublin, Ireland with research interests in artificial intelligence and digital policy, developing interdisciplinary frameworks for the governance and regulation of machine learning algorithms. She will speak on Gender bias and Artificial Intelligence. For more information about Susan see

FacilitatorDr Paula Carroll, UCD, Chair WISDOM Forum

Analytics for a better world initiative & first webinar

Relaying the following communication from Dimitris Bertsimas (MIT) & Dick den Hertog (Tilburg University)

Dear all,

COVID-19 is one of the big challenges our society is facing nowadays, and there are many more. We believe that Analytics can be of much value to improve our world. It is encouraging to see that more and more (especially young) Analytics researchers are enthusiastic to use Analytics to make this world a better place. Analytics has, e.g., already contributed significantly to the Sustainable Development Goals of the United Nations. 

To make these contributions of Analytics for a Better World more visible, and to stimulate research in this area, we have started a new initiative: “Analytics for a Better World Webinars (ABW-W)”.   Every month we will organize one webinar (most probably via Zoom) on a high societal impact Analytics project. The focus of the webinars is not on theoretical innovation, but on impact. These webinars will be recorded, and the videos can be used in your Analytics courses.

The first speaker is Prof. Dimitris Bertsimas (MIT, Cambridge) who will present the ongoing  work of his group of 20+ PhD and Master students and colleagues at MIT ( on a variety of aspects of COVID-19 as detailed in The website contains many  downloadable models and data.

Specifically, he will discuss  

1) a new epidemiological model of the evolution of COVID-19, detailed in

2)  a new machine learning model (based on optimal classification trees) for predicting mortality using data from an Italian hospital from Cremona Italy detailed in Depending on progress he will discuss how to prioritize patients to use ICUs to save more lives.

3) a new optimization model for allocating ventilators  among states in the US detailed in

4) a data generation process from 130+ papers written in March 2020 regarding COVID-19 detailed in  and insights gleaned from it

The emphasis of this work has been rapid prototyping and implementation. This talk also represents an invitation to researchers around the world to contribute with ideas and analyses of their own in a collaborative spirit with the objective to address this pandemic using analytics. 

The precise date and especially the time, depends on the geographical locations of the participants, and will be determined later.

If you are interested in participating in ABW-W, please write an e-mail to Dick den Hertog ( 

Please, feel free to forward this e-mail to others who might be interested in this new initiative.

Kind regards,

Dimitris Bertsimas (MIT, Cambridge, US)
Dick den Hertog (Tilburg University, Tilburg, The Netherlands)