交换机 | 计算人文研究在线研讨会

(18-20 NOVEMBER 2020)

在人文与相关社会科学中，计算、统计，和数学方法的应用在近年不断增长。这类研究1）依赖于定量而非严格定性证据，2） 借助数学和计算方法提出明确和形式化理论，3）对模型参数进行统计推理，4）使用计算和自动化过程进行数据处理和分析，以及5）从计算角度整合不同学科的理论。

然而， 随着这一新研究领域的增长，许多学者仍然感到没有合适的研究导向型渠道展示并发表他们计算人文方面的工作。基于这样的原因，我们试图通过建立一个计算人文研究的社区来填补这个空白。这个社区的最终目标是建立一个研究导向的、开放的计算人文杂志。计算人文研究研讨会就是这个杂志的一块基石。

In the humanities and related social sciences, the use of computational, statistical, and mathematical approaches has increased in recent years. The research can be characterized by (i) relying on quantifiable rather than strictly qualitative evidence; (ii) making explicit and formalizing theory with the help of mathematical and computational models; (iii) making statistical inferences about model parameters; (iv) the use of computational and automatic procedures for processing and analyzing data; and (v) searching for computational analogies through which theories from different disciplines can be unified. And yet, despite the undeniable growth of this new research area, many scholars still feel that there is no suitable research-oriented venue to present and publish their computational work that does not lose sight of questions relevant to the humanities. As such, we aim to fill this niche by creating a community for Computational Humanities Research. Ultimately, the goal of the community is to set up a research-oriented, open-access computational humanities journal. This workshop on Computational Humanities Research (CHR) will serve as a stepping stone to this journal.

重要日期

2020年7月20日：投稿截止日期

2020年8月24日：投稿结果通知发放

2020年9月18日：论文终稿截止日期

2020年11月18-20日：在线研讨会

July 20, 2020: Submission deadline;

August 24, 2020: Notification of acceptance;

September 18, 2020: Camera-ready papers due;

November 18-20, 2020: Online Workshop.

投稿地址

主办方

DHLab of the KNAW Humanities Cluster

研讨会主题

a) 人文研究数据分析的统计方法

b) 假设驱动的人文研究

c) 使用统计、实证、和数据驱动方法对结果的阐释

d) 实证方法发展

e) 学科间方法的借鉴和转移，例如经济、生物、物理、心理学、和复杂性科学

f) 从计算角度整合学科

g) 对人文研究中偏差和不确定性的建模

h) 方法标准化

i)  分类与分期的统计评估

j) 连接人文与统计阐述

k) 人文研究的探索模型

a) Statistical methods for Humanities data analysis;

b) Hypothesis-driven Humanities research;

c) Interpretation of results from statistical, empirical, and data-driven methods；

d) Development of empirical methods;

e) Translation and transfer of methods from disciplines, such as economics, biology, physics, psychology, and complexity science;

f) Drawing computational analogies to unify disciplines;

g) Modeling bias and uncertainty in the humanities;

h) Method standardization;

i) Statistical evaluation of categorization/periodization;

j) How to bridge humanistic and statistical interpretations;

k) Explanatory models for Humanities research. 

投稿类型 

(Types of Submission)

Long Papers. Long papers report on completed, original and unpublished results. The maximum length is 16 pages, plus up to 2 pages of references. We welcome the use of appendices or other supplementary information. Accepted papers are expected to be presented at the workshop and will be published in the proceedings of the workshop.

Short Papers. Short papers report on original and unpublished results. The maximum length is 8 pages, plus up to 2 pages of references. Besides smaller, focussed contributions, short papers may present work in progress, negative results, and opinion pieces. Accepted papers are expected to be presented at the workshop and will be published in the proceedings of the workshop.

Tutorials. We also accept proposals for online tutorials. These tutorials are meant to highlight specific computational approaches and show how they can be implemented across different disciplines in the humanities. The maximum length is 4 pages, plus up to 1 page of references. Tutorial proposal should at minimum include description of method(s), goals, relevance to CHR, as well as information on the prerequisite knowledge, and logistical requirements. Tutorial proposals will not be published in the proceedings.

All papers and tutorial proposals will undergo double-blind peer-review.

投稿格式 

(Submission Formats)

Papers to CHR2020 may be submitted in either of the following two formats:

LaTeX Papers should be prepared using the CHR2020 latex template; 

doc(x) papers may be submitted only for review.

All final, accepted papers must be submitted in LaTeX using the provided template. Final papers not submitted in this format will not be accepted.

Papers should be submitted to the CHR2020 workshop Easychair website: https://easychair.org/conferences/?conf=chr2020

Accepted papers will be published in the CEUR workshop proceedings.

研讨会委员会

Alberto Acerbi – Brunel University, London

Tara Andrews – University of Vienna, Austria

Manuel Burghardt – Universität Leipzig, Germany

Giovanni Colavizza – University of Amsterdam, The Netherlands

Maud Ehrmann – EPFL, Switzerland

Pieter Francois – University of Oxford, UK

Leah Henrickson – Loughborough University, UK

Mike Kestemont – University of Antwerp, Belgium

Lauren Klein – Emory University, U.S.A.

Cynthia Liem – Delft University of Technology, The Netherlands

Barbara McGillivray (Chair) – University of Cambridge & The Alan Turing Institute, UK

George Mikros – National and Kapodistrian University of Athens, Greece

Kristoffer Nielbo – Aarhus University, Denmark

Michael Piotrowski – University of Lausanne, Switzerland

Allen Riddell – Indiana University Bloomington, USA

Iza Romanowska – Barcelona Supercomputing Center, Spain

Tatjana Scheffler – University of Potsdam, Germany

Oleg Sobchuk – Max Planck Institute for the Science of Human History, Germany

Ted Underwood – University of Illinois, USA

Eva Zangerle – University of Innsbruck, Austria

Joris van Zundert – Huygens ING, The Netherlands

END

主编 / 付梅溪

责编 / 马戎千

美编 / 马戎千