제목 [학술세미나] SEED 세미나 안내(18.10.11)
작성일 2018-10-08 08:23:16
내용 SEED Seminar Announcement

We cordially invite you to attend the two SEED seminars which are hosted at two different universities:

Seminar 1:  by prof Richard Peterson,  Thursday, 11 Oct 2018@15:00-16:00PM (UTC+8 note time difference).

* Title: Sentimental Markets:  How Information Flow Drives Patterns in Asset Pricing
* Speaker: Richard Peterson,   Thomson Reuters and MarketPsych
* Time: 15:00-16:00 (Singapore), Thursday, 11 Oct  2018
* Venue: NUS, S17-05-12, Singapore
* Virtual seminar room:         
* Room Passcode: seed

There is substantial and growing quantitative evidence that information flow drives asset prices across equities, currencies, commodities, and cryptocurrencies. Innovations in natural language processing, cloud computing, and the proliferation of online news and social media have yielded vast new datasets on which to study the role of information (themes and sentiments) in driving human risk taking behavior, and by proxy, asset prices.  Dr. Richard Peterson will review academic literature as well as industry best practices in examining the role of media (news, social media, and search) in driving price patterns.  Dr. Peterson will also review machine learning and statistical techniques that appear to capture significant relationships in media data. Dr. Peterson has an Electrical Engineering undergraduate degree, a medical doctorate, and completed residency training in psychiatry.  He performed postdoctoral research in Neuroeconomics at Stanford and is a board-certified psychiatrist.  As an Associate Editor of the Journal of Behavioral Finance and a data vendor (the Thomson Reuters MarketPsych Indices), Dr. Peterson presents a hybrid academic and industry understanding of asset pricing phenomena.

Seminar 2:  by prof Giacomo Livan,  Thursday, 11 Oct 2018@17:00-18:00PM (UTC+8 note time difference).

* Title: Reciprocity and success in academic careers
* Speaker: Giacomo Livan, UCL, UK
* Time: 17:00-18:00 (Singapore) or 10:00-11:00(UK), Thursday, 11 Oct  2018
* Venue: UCL, UK
* Virtual seminar room:         
* Room Passcode: seed

The growing importance of citation-based bibliometric indicators in shaping the prospects of academic careers incentivizes scientists to boost the numbers of citations they receive. Whereas the exploitation of self-citations has been extensively documented, the impact of reciprocated citations has not yet been studied. In this talk I will discuss reciprocity in a citation network of academic authors, and compare it with the average reciprocity computed in a variety of null network model ensembles. I will show that obtaining citations through reciprocity correlates negatively with a successful career in the long term. Nevertheless, at the aggregate level there is evidence of a steady increase in reciprocity over the years, largely fuelled by the exchange of citations between coauthors. These results characterize the structure of author networks in a time of increasing emphasis on citation-based indicators, and I will discuss their implications towards a fairer assessment of academic impact.

The SEED seminar series is jointly organized by researchers from National University of Singapore, Zuse Institute Berlin, The Institute of Statistical Mathematics, Academia Sinica, University College London, Seoul National University and the Hong Kong University of Science and Technology. SEED stands for Statistics maschinElEarning Datascience. Motivated by the availability of big complex data and the fast development of new techniques in machine learning and data science, SEED aims to provide an online research platform for seminars focusing on important and timely interdisciplinary research topics on Statistics, Machine learning, Data Science, Mathematics, Operation Research, Computer Science, and Engineering. The online seminar series are co-hosted and organised by several research institutes in different countries. The mission is to exchange research ideas, educate young researchers, and promote international research and education collaborations.For more information, please visit the SEED website https://seed.stat.nus.edu.sg/index.php
We look forward to seeing you at the events!

Best regards

SEED Organisation Committee


Confirmed seminars will be given by the following researchers:

Speaker Title   Date and Time   Host
Hong Kong, Singapore and Taiwan (UTC +8)        Japan and Korea
(UTC +9)        Germany
(UTC +1)        U.K.
Hideitsu Hino<https://researchmap.jp/read0143154/?lang=english> Current Dipole Localization from EEG with Birth-Death Process<https://seed.stat.nus.edu.sg/index.php/events#Hino>       Wed, 9 Jan 2019
16:00 - 17:00   Wed, 9 Jan 2019
17:00 - 18:00   Wed, 9 Jan 2019
09:00 - 10:00   Wed, 9 Jan 2019
08:00 - 09:00   ISM
Guido Germano<http://www.cs.ucl.ac.uk/people/G.Germano.html/>   Integral transform methods and spectral filters for the pricing of exotic options<https://seed.stat.nus.edu.sg/index.php/events#Guido>  Fri, 14 Dec 2018
17:30 - 18:30   Fri, 14 Dec 2018
18:30 - 19:30   Fri, 14 Dec2018
10:30 - 11:30   Fri, 14 Dec 2018
09:30 - 10:30   UCL
Simone Righi<http://www.cs.ucl.ac.uk/people/S.Righi.html/>      Social closure and the evolution of cooperation via indirect reciprocity<https://seed.stat.nus.edu.sg/index.php/events#Simone>  Fri, 16 Nov 2018
18:00 - 19:00   Fri, 16 Nov 2018
19:00 - 20:00   Fri, 16 Nov2018
11:00 - 12:00   Fri, 16 Nov2018
10:00 - 11:00   UCL
Shuhei Mano<https://researchmap.jp/mano_shuhei/?lang=english>   A Direct Sampler from Log-affine Models with Aid of Computational Algebra<https://seed.stat.nus.edu.sg/index.php/events#Mano>   Wed, 31 Oct 2018
16:00 - 17:00   Wed, 31 Oct 2018
17:00 - 18:00   Wed, 31 Oct 2018
09:00 - 10:00   Wed, 31 Oct 2018
08:00 - 09:00   ISM
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