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Projektnummer | 62445302 |
---|---|
Projekttitel laut Förderbescheid | Mobilitätshilfe 6th Workshop |
Akronym | G-RISC |
Projektlaufzeit | 23.03.2015 - 27.03.2015 |
Forschungsschwerpunkt | Transformationsprozesse in Wirtschaft und Gesellschaft |
Projektkategorie | Forschung |
Zuordnung | |
Kompetenzfeld | Transformationsprozesse in Wirtschaft und Gesellschaft |
Grundeinheit | Fakultät Natur- und Umweltwissenschaften |
1. The goal of this international interdisciplinary research conference 6th Workshop on Nonlinear PDEs and Financial Mathematics, held 23-27 March 2015 at University of Applied Sciences, Zittau, Germany, was to organize a discussion forum between experienced researchers and PhD students. The younger participants were encouraged to present their own results and in a friendly informal atmosphere get feedback from more experienced researchers. This series of the conferences started approximately ten years ago. From the start our aim was to provide a discussion platform for different scientific schools interested in a mutually beneficial collaboration on different levels. We invite professors and their PhD students, specializing in different areas, who are interested to develop their own methods and to apply them to new and interesting problems arising in Financial Mathematics. We also invite industry experts in order to be able to look on the problems from industrial point of view as well. It is important to note that a number of PhD students are planning to get a job in the industry after finishing their studies. For these students it is extremely important to stay in touch with the industry and understand which kind of problems is currently interesting for the practitioners. It is also very interesting for them to get a better understanding of their future tasks. In order to achieve all the goals mentioned above we invited the specialists in analytical, numerical, stochastic and optimization methods. This variety of practitioners and academics allows to get a broader overview of the actual research field and to combine different methods in order to solve more advanced and challenging problems. We think that it is very important for the young PhD students to understand and compare their achievements with others and with real needs of the industry. It can boost cooperation and lead to interesting problem settings. We will specifically tell about the youth-focus of the event later.
In this short report we will briefly cover the scope and main features of the conference, the participants and organizing committee, funding of the event and we will profoundly study the feedback given by the guests.
1. The scope and main features of the conference
We wanted to organize an event with a broad agenda that could extensively cover a number of mathematical disciplines that are needed in current Financial Mathematics. This field of mathematics is still very syncretic and there is a great demand in a broader perspective. Usually a successful researcher needs to combine different techniques and ideas form analysis, stochastic, numeric, group theory, statistic, optimization theory, etc. Bearing that in mind we did split a five-day event into five day-long sections, each connected with a certain specific topic highly applicable to Mathematical Finance. On the first day we had a section on analytics, on the second day on stochastic, on the third day on numerical methods, on the fourth on optimization. The fifth day was a day of the industry. We specifically made our last day an industry day because of a number of reasons. On one hand it could be a good summary of the scientific sections providing to the representatives of the industry to give feedback to what they had observed. On the other hand it could be an eye-opener to the academic guests and could show them which trends are interesting for the industry at the moment.
One of the partners of the conference was Yandex - one of the largest internet companies in Europe. Head of search analytics in Yandex, Aleksey Tikhonov, did a crash-course on the cluster-analysis on the last day of the conference and was actively participating in the discussions for the whole week. Michael Levin, the chief data-scientist of Yandex Factory, gave a talk on the big-data and machine learning in the industry.
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