Static versus Dynamic Deferred Acceptance in School Choice: Theory and Experiment
Joana Pais, ISEG – Abstract: In the context of school choice, we experimentally study how behavior and outcomes are affected when, instead of submitting rankings in the student proposing or receiving deferred acceptance (DA) mechanism, participants make decisions dynamically, going through the steps of the…
Toward Autonomous Social Robots in the Wild
Iolanda Leite, School of Computer Science and Communication at the Royal Institute of Technology, Sweden – Abstract: As social robots move out of controlled laboratory environments to be deployed in the real world, a long-standing barrier is the need to respond and adapt to dynamic…
Computational Geometry Challenges and Results in Multiobjective Optimization
Michael Emmerich, Leiden University – Abstract: In multiobjective optimization and decision analysis, it is common to compute sets of points or polytopes that cover trade-off (hyper)surfaces. In this talk, we will look at computational geometry problems related to this and their computational complexity. Many of…
Rationality, Contextuality, and Extended Probabilities
José Acacio de Barros, San Francisco State University – Abstract: Rationality is often associated with classic theory of probability, which is built on top of a Boolean structure of events. However, some experimental conditions, both in physics and in the social sciences, do not permit…
Managing Application Resilience: A Programming Language Approach
Pedro Diniz, USC Information Sciences Institute – Abstract: System resilience is an important challenge that needs to be addressed in the era of extreme scale computing. High-performance computing systems will be architected using millions of processor cores and memory modules. As process technology scales, the…
Towards providing digital immunity to humanitarian organizations
Stevens Le Blond , EPFL – École Polytechnique Fédérale de Lausanne – Abstract: Humanitarian action, the process of aiding individuals in situations of crises, poses unique information-security challenges due to natural or manmade disasters, the adverse environments in which it takes place, and the scale…
Adapting the Studio Based Learning Methodology to Computer Science Education
Paula Alexandra Silva , Maynooth University – Abstract: Recent research projects have depicted Studio-Based Learning as a successful approach to teaching computer science students. This talk will describe using Studio-Based Learning as a pedagogical approach in an online introductory Computer Science 1 (CS1) course. The…
Privacy-preserving solutions for Security-as-a-Service (SecaaS) modell
Marcin Niemiec, – Abstract: Nowadays, Security-as-a-Service (SecaaS) model is using by organizations of different sizes and profiles. Unfortunately, such services are characterized by a risk of confidential information leakage – the customer’s security policies are exposing to cloud service providers. The security policy contains confidential…
Cases on optimization for scheduling and timetabling
Inês Marques, Instituto Superior Técnico – Abstract: Scheduling and timetabling are planning activities of operations management in any organization. Central to an operation’s ability to deliver is the way its activities are planned. Planning is concerned with activities that attempt to reconcile the demand and…
Bicriteria Fixed-Charge Network Flow – Separating Fixed Costs and Flow Costs
Michael Stiglmayr, University of Wuppertal – Abstract: The fixed-charge network design problem is one of the classical network design problems. From a multiobjectve perspective its objective function is the weighted-sum of a network flow objective and the sum of the fixed costs (i.e. design costs)….
Mathematics, Physics & Machine Learning Seminar Series (Online)
The Mathematics, Physics & Machine Learning seminar series has started on October 2020 and runs until March 2021.
The seminars aim to bring together mathematicians and physicists interested in machine learning (ML) with ML and AI experts interested in mathematics and physics, with the goal of introducing innovative Mathematics and Physics-inspired techniques in Machine Learning and, reciprocally, applying Machine Learning to problems in Mathematics and Physics.
Attendance is free but registration is required.
More information is available here.
International European Conference on Parallel and Distributed Computing
The 27th International European Conference on Parallel and Distributed Computing (Euro-Par 2021) will take from August 30 to September 3 2021 in Lisbon.
Euro-Par is the prime European conference covering all aspects of parallel and distributed processing, ranging from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-fledged applications, from architecture, compiler, language and interface design and implementation, to tools, support infrastructures, and application performance aspects.
The 2021 edition of Euro-Par will be organized as a collaboration between INESC-ID and Instituto Superior Técnico (IST).
– Abstract Submission: February 5, 2021
– Paper Submission Deadline: February 12, 2021
– Author Notification: April 30, 2021
– Camera-Ready Papers: June 6, 2021
More information is available here.