QUALICO 2018

International Quantitative Linguistics Conference

Call Deadline: 28-Feb-2018

Meeting Description:

Following the success of previous QUALICO conferences, organised by International Quantitative Linguistics Association (IQLA), we invite contributions on all aspects of quantitative linguistics and text analysis. The main topic of the conference is: Information in language: coding, extraction and applications.

Final Call for Papers:

The forthcoming conference of quantitative linguistics QUALICO 2018 will be held in Wroclaw (Poland), July 5-8, 2018.

We are waiting for your submissions!
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DeepLearn 2018: early registration February 14

2nd INTERNATIONAL SUMMER SCHOOL ON DEEP LEARNING

DeepLearn 2018

Genova, Italy

July 23-27, 2018

Organized by:
University of Genova
IRDTA – Brussels/London

http://grammars.grlmc.com/DeepLearn2018/

***************************************************************

— Early registration deadline: February 14, 2018 —

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SCOPE:

DeepLearn 2018 will be a research training event with a global scope aiming at updating participants about the most recent advances in the critical and fast developing area of deep learning. This is a branch of artificial intelligence covering a spectrum of current exciting machine learning research and industrial innovation that provides more efficient algorithms to deal with large-scale data in neurosciences, computer vision, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, healthcare, recommender systems, learning theory, robotics, games, etc. Renowned academics and industry pioneers will lecture and share their views with the audience.

Most deep learning subareas will be displayed, and main challenges identified through 2 keynote lectures, 24 six-hour courses, and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event.

An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles.

ADDRESSED TO:

Master’s students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2018 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators.

STRUCTURE:

3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.
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Digital Transformation and Global Society» (DTGS-2018): Deadline Extended till February 22

Dear colleagues,

We would like to inform you that the deadline for submissions to the 3rd international conference «Digital Transformation and Global Society» (DTGS-2018) is extended till February 22, 2018.

The event is co-organized by the ITMO University and the National Research University Higher School of Economics (St. Petersburg), both being the leading universities, globally known for their research in information technologies, communication and social sciences.

ABOUT

DTGS is an emerging international academic forum for the interdisciplinary Internet Studies field. The mission of the conference is to provide a collaborative platform for researchers and experts to discuss the transformative impact of digital technologies on the way we communicate, work and live.

SCOPE

DTGS welcomes multidisciplinary papers that apply Social and Humanitarian Studies to the research on institutions, practices, communications and behavior in cyberspace. The general program falls into the following tracks:

— eSociety: Social Informatics, Virtual Communities, Ethical and Security Issues;

— ePolity: Politics and Governance in Cyberspace, Smart Governance, E-Participation and Open Data;

— eHumanities: Digital Culture, Education and Communication Issues;

— eCity: Smart Cities, Urban Governance and Planning using ICTS;

— eEconomy: Digital Economy and ICT – driven Economic Institutions and Practices;

— Special Symposium on Internet Psychology: ICT in healthcare and psychological aspects of the Internet development.

— Special Academic Workshop on Computational Linguistics: Computational and linguistic Ontologies, Speech Technologies, Linguistic Analysis of digital information

CONFIRMED KEYNOTES

Stephen COLEMAN, Professor of Political Communication at the University of Leeds, author of Can the Internet Strengthen Democracy (Cambridge: Polity Press, 2017), How Voters Feel (Cambridge: Cambridge University Press, 2013) and other prominent books and articles on political communication and online democracy.

Anthony FAIOLA, Professor and Head of the Department of Biomedical and Health Information Sciences at the University of Illinois at Chicago. Dr. Faiola’s research is positioned at the intersection of health informatics and human-computer interaction—where he focuses on advancing the information science of socio-technical systems (such as mobile health technology) that support clinical work and personal health and wellness.

 

YOUNG SCHOLARS FORUM

The special Poster Track for PhD students and young scientists is organized on May 30. Authors of accepted posters will have a chance to discuss their papers and get feedback to advance their research. Best posters are to be expanded and published in the Conference Proceedings.

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А. А. Кибрик «Язык в широкой перспективе»

Во вторник, 6 февраля, в 18:00 в рамках семинара «Мозг и разум», проводимого Центром нейронаук и когнитивных наук МГУ, с докладом «Язык в широкой перспективе» выступит Андрей Александрович Кибрик.
Аннотация доклада:
В современных исследованиях языка есть несколько наиболее интересных направлений. Как устроено устное речевое общение между людьми? Насколько разнообразны естественные языки? Как языки взаимодействуют между собой? Эти вопросы часто рассматриваются в узкой перспективе, изнутри традиционной лингвистической науки. Но они могут быть поставлены и так, чтобы стать интересными в междисциплинарной нейрокогнитивной перспективе. Это и будет предпринято в докладе.
Приглашаются все желающие.
Если вы не являетесь сотрудником МГУ и хотите попасть на лекцию, необходима предварительная регистрация на сайте семинара (ссылка доступна в конце письма). Записаться необходимо до вечера воскресенья, 4 февраля. Для прохода в здание нужен будет паспорт.
Начало: 18:00
Место: Главное здание МГУ, аудитория 01
Форма для регистрации: http://mainseminar.ru/?page_id=128
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DeepLearn 2018: early registration February 14

2nd INTERNATIONAL SUMMER SCHOOL ON DEEP LEARNING

DeepLearn 2018

Genova, Italy

July 23-27, 2018

Organized by:
University of Genova
IRDTA-London

http://grammars.grlmc.com/DeepLearn2018/

***************************************************************

— Early registration deadline: February 14, 2018 —

***************************************************************

SCOPE:

DeepLearn 2018 will be a research training event with a global scope aiming at updating participants about the most recent advances in the critical and fast developing area of deep learning. This is a branch of artificial intelligence covering a spectrum of current exciting machine learning research and industrial innovation that provides more efficient algorithms to deal with large-scale data in neurosciences, computer vision, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, healthcare, recommender systems, learning theory, robotics, games, etc. Renowned academics and industry pioneers will lecture and share their views with the audience.

Most deep learning subareas will be displayed, and main challenges identified through 2 keynote lectures, 24 six-hour courses, and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event.

An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles.

ADDRESSED TO:

Master’s students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2018 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators.

STRUCTURE:

3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.

VENUE:

DeepLearn 2018 will take place in Genova, the capital city of Liguria, inscribed on the UNESCO World Heritage List and with one of the most important ports of the Mediterranean. The venue will be:

Porto Antico di Genova – Centro Congressi
Calata Molo Vecchio 15
Modulo 5 – 1° piano
16128 Genova, Italy

KEYNOTE SPEAKERS:

tba

PROFESSORS AND COURSES: (to be completed)

Pierre Baldi (University of California, Irvine), [intermediate/advanced] Deep Learning: Theory, Algorithms, and Applications to the Natural Sciences

Thomas Breuel (NVIDIA Corporation), [intermediate] Design and Implementation of Deep Learning Applications

Li Deng (Citadel), tba

Sergei V. Gleyzer (University of Florida), [introductory/intermediate] Feature Extraction, End-end Deep Learning and Applications to Very Large Scientific Data: Rare Signal Extraction, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware

Michael Gschwind (IBM Global Chief Data Office), [introductory/intermediate] Deploying Deep Learning at Enterprise Scale

Xiaodong He (Microsoft Research), [intermediate/advanced] Deep Learning for Natural Language Processing and Language-Vision Multimodal Intelligence

Namkug Kim (Asan Medical Center), [intermediate] Deep Learning for Computer Aided Detection/Diagnosis in Radiology and Pathology

Li Erran Li (Uber ATG), [intermediate/advanced] Deep Reinforcement Learning: Foundations, Recent Advances and Frontiers

Dimitris N. Metaxas (Rutgers University), [advanced] Adversarial, Discriminative, Recurrent, and Scalable Deep Learning Methods for Human Motion Analytics, Medical Image Analysis, Scene Understanding and Image Generation

Hermann Ney (RWTH Aachen University), tba

Björn Schuller (Imperial College London), [intermediate/advanced] Deep Learning for Signal Analysis

Johan Suykens (KU Leuven), [introductory/intermediate] Deep Learning and Kernel Machines

Kenji Suzuki (Tokyo Institute of Technology), [introductory/advanced] Deep Learning in Medical Image Processing, Analysis and Diagnosis

Gökhan Tür (Google Research), [intermediate/advanced] Deep Learning in Conversational AI

Ming-Hsuan Yang (University of California, Merced), [intermediate/advanced] Learning to Track Objects

Yudong Zhang (Nanjing Normal University), [introductory/intermediate] Convolutional Neural Network and Its Variants
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RuSSIR: Call for Course Proposals

12th RUSSIAN SUMMER SCHOOL IN INFORMATION RETRIEVAL (RuSSIR 2018)
August 27–31, 2018, Kazan, Russia
http://romip.ru/russir2018/

The school is co-organized by Kazan Federal University (https://kpfu.ru/eng) and Russian Information Retrieval Evaluation Seminar (ROMIP, http://romip.ru/en/). RuSSIR 2018 will have an additional focus on «IR for Good», emphasizing humanitarian and other public interest problems. The missions of the RuSSIR school series are to enable students to learn about modern problems and methods in information retrieval and related disciplines; to stimulate scientific research and collaboration in the field; and to create an environment for informal contacts between scientists, students and industry professionals. RuSSIR 2018 will offer up to 6 courses and host approximately 100 participants. The target audience of the school is advanced graduate students, young scientists, academic and industrial researchers, and developers. The working language of the school is English.

RuSSIR 2018 welcomes course proposals on any aspect of Information Retrieval, either generally on latest methodologies in the field or with a particular emphasis on IR for Good. Each course should consist of four or five 90 minute-long sessions. Courses may include lectures and/or practical exercises.

Summer school organizers will cover travel and accommodation expenses for one lecturer per course; no additional honorarium will be paid to lecturer(s). The school organizers would highly appreciate if, whenever possible, lecturers could find alternative funding to cover the travel and accommodation expenses, and indicate this possibility in their proposals.

*IMPORTANT DATES*

Course proposals submission deadline: March 3, 2018
Notification: March 18, 2018
School: August 27-31, 2018

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LxMLS 2018 — 8th Lisbon Machine Learning School

Отличная школа, не упустите свой шанс!
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First Call for Participation
LxMLS 2018 — 8th Lisbon Machine Learning School
==============================================================
We invite everyone interested in Machine Learning and Natural Language Processing to attend the 8th Lisbon Machine Learning School — LxMLS 2018.
Important Dates
—————
* Application Deadline: March 16, 2018
* Decision: April 15, 2018
* Early Registration: April 16 — May 18, 2018
* Summer School: June 14 — 21, 2018

Topics and Intended Audience

—————
The school will cover a range of Machine Learning (ML) topics, from theory to practice, that are important in solving Natural Language Processing (NLP) problems that arise in the analysis and use of Web data.
Our target audience is:
* Researchers and graduate students in the fields of NLP and Computational Linguistics;
* Computer scientists who have interests in statistics and machine learning;
* Industry practitioners who desire a more in depth understanding of these subjects.
Features of LxMLS:
* No deep previous knowledge of ML or NLP is required, but the attendants are assumed to have at least some basic background on probabilities and programming;
* Recommended reading will be provided in advance;
* Includes a strong practical component;
* A day zero is scheduled to review basic concepts and introduce the necessary tools for implementation exercises;
* Days will be divided into tutorials and practical sessions (view schedule);
* Both basic (e.g linear classifiers) and advanced topics (e.g. deep learning) will be covered;
* Instructors are leading researchers in machine learning.

List of Confirmed Speakers

—————

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Лаборатория интернет-исследований НИУ ВШЭ ищет исследователя на полную ставку.

Веселый молодой коллектив, интересные задачи, много международной активности.
Заработная плата – в зависимости от квалификации; ориентир: 50 тысяч рублей + надбавки в случае
успешной публикационной активности.
Мы рассматриваем возможности удаленного сотрудничества на отдельных условиях.
Главное требование к кандидату: доказанная способность публиковать научные статьи в
международных журналах на английском языке и как минимум – общее понимание языка и логики
исследований, проводимых с помощью статистических методов или методов машинного обучения.
Исследователь приглашается в текущие проекты, тематика которых включает:
 Разработку методов автоматизированного анализа пользовательских текстов в целях
социальных наук (например, выявление речи ненависти);
 Анализ связности пользователей, их поведения в социальных сетях и их психологических
характеристик;
 Характер и факторы распространения новостей онлайн.
Более подробно с тематикой исследований можно ознакомиться на сайте лаборатории linis.hse.ru .
Желательно, чтобы кандидат владел некоторыми из следующих методологических подходов:
 Классическая статистика (регрессионный анализ и др.);
 Анализ социальных сетей;
 Машинное обучение с учителем или без;
 Подходы компьютерной лингвистики.
Образование кандидата может быть разным, например:
 Количественная социология или политология;
 Социальная психология;
 Количественный анализ медиа и интернета;
 Компьютерная лингвистика;
 Компьютерные науки.
Заинтересованные кандидаты могут высылать свои CV и образцы публикаций на адрес
linis-spb@hse.ru, начиная с 20 января 2018 года и до момента заполнения вакансии.

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JOB: Postdoctoral researcher in Russian Big Data Methodology

The Aleksanteri Institute at the University of Helsinki is currently looking for three postdoctoral researchers in Russian studies for a three-year period starting from March 1, 2018. The postdoctoral researchers to be appointed will have proven expertise in one of these areas:

  • Russian Environmental Studies
  • Russian Big Data Methodology,
  • Russian Law and Administration.

Their main duties will include full-time research in their respective fields. The posts will require both independent and collaborative scholarly publishing, as well as some teaching and other tasks. The candidates must have a doctoral degree granted prior to the closing date for applications but no more than five years prior to application (2012 or later). Deadline for applications is January 30, 2018. Please see the call for applications and follow the instructions at https://www.helsinki.fi/en/open-positions/postdoctoral-researchers-russian-studies.

We are looking forward to applications from bright and motivated scholars from all over the world. Please help us spread the word!

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