Posts by Pavlos Efraimidis

Pavlos S. Efraimidis is an Associate Professor in Algorithms and Director of the Algorithms and Privacy Research Unit (https://euclid.ee.duth.gr). He received his PhD in Informatics in 2000 from the University of Patras under the supervision of Paul Spirakis. His main work is on algorithms and his current research interests are in the fields of algorithmic game theory and algorithmic aspects of privacy. He has published over 35 refereed technical papers and book chapters, and has participated in 11 national and European research projects. His professional experience includes working as a researcher for the Computer Technology Institute (http://www.cti.gr/), and as a computer engineer in the high performance computing field (Parsytec Computer GmbH, Aachen, Germany) and the financial sector (ASYK - Athens Stock Exchange, Athens, Greece).

Improving disaster response through Twitter data | Penn State University

When disaster strikes, emergency responders often use social media data to understand the big-picture impact of an event. But thanks to an international team of researchers, organizations could soon have access to real-time, automatically generated summaries of the collateral impact of a disaster based on crowdsourced Twitter data.

Source: Improving disaster response through Twitter data | Penn State University

“Breakthrough” algorithm exponentially faster than any previous one | Harvard John A. Paulson School of Engineering and Applied Sciences

Breakthrough” algorithm exponentially faster than any previous one

What if a large class of algorithms used today — from the algorithms that help us avoid traffic to the algorithms that identify new drug molecules — worked exponentially faster?

Computer scientists at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed a completely new kind of algorithm, one that exponentially speeds up computation by dramatically reducing the number of parallel steps required to reach a solution.

The theoretical research was presented at the ACM Symposium on Theory of Computing (STOC), June 25-29 and the experimental research will be presented at the International Conference on Machine Learning (ICML), July 10 -15.

Source: “Breakthrough” algorithm exponentially faster than any previous one | Harvard John A. Paulson School of Engineering and Applied Sciences

Moscow State University Team Wins World Finals of ACM International Collegiate Programming Contest

Three students from Moscow State University earn the title of 2018 ACM ICPC World Champions.

University Teams from Beijing and Tokyo also Recognized with Gold Medals

NEW YORK, April 19, 2018 – The 2018 World Finals of the Association for Computing Machinery (ACM) International Collegiate Programming Contest (ICPC) culminated today at Peking University in Beijing, China. Three students from Moscow State University earned the title of 2018 World Champions. Teams from the Moscow Institute of Physics and Technology, Peking University and The University of Tokyo placed in second, third and fourth places and were recognized with gold medals in the prestigious competition.

Source: Moscow State University Team Wins World Finals of ACM International Collegiate Programming Contest

How social media helps scientists get the message across

New study suggests good research pushed through social media gets more citations.

By JENNIFER-ANNE PASCOE

Analyzing the famous academic aphorism ”publish or perish” through a modern digital lens, a group of emerging ecologists and conservation scientists wanted to see whether communicating their new research discoveries through social media—primarily Twitter—eventually leads to higher citations years down the road.

Turns out, the tweets are worth the time investment.

Source: How social media helps scientists get the message across

People Around World Want Unbiased News | Pew Research Center

A global median of 75% want their news media to be unbiased when covering political issues, yet many say the news media do a poor job of reporting on political issues fairly.

Source: People Around World Want Unbiased News | Pew Research Center

Βαριά πρόστιμα για τα προσωπικά δεδομένα | Επιχειρήσεις | Η ΚΑΘΗΜΕΡΙΝΗ

Βαριά πρόστιμα, σχεδόν εξοντωτικά, ειδικά για τις μεγάλες επιχειρήσεις, φέρνει ο νέος ευρωπαϊκός κανονισμός, που θα ισχύσει αυτόματα και στη χώρα μας από τον προσεχή Μάιο και αφορά το νέο θεσμικό πλαίσιο για την προστασία των προσωπικών δεδομένων.

Source: Βαριά πρόστιμα για τα προσωπικά δεδομένα | Επιχειρήσεις | Η ΚΑΘΗΜΕΡΙΝΗ