Digital Humanities


The subject is for students who are interested in relevant societal / cultural processes and the use of computer technology to explore them. Students will develop and implement a digital humanities project together with lecturers, study and test computer data collection, processing / coding, systematization and visualization tools. Students will become more familiar with the subject of social sciences and humanities research and will learn how computer technologies can contribute to public / cultural research, what research tools are needed by today’s researchers and how they can contribute to these tools.

The main objective of this elective subject is to provide students with knowledge of relevant societal / cultural processes and to teach their research basics using integrated techniques and computer technologies (collection, processing, analysis, systematization and presentation of research data in real and virtual environments); to develop students’ interdisciplinary communication skills in the design and implementation of the selected digital humanities project.

Digital Humanities in VMU. 2018 Autumn semester Info Flyer: Digital Humanities in VMU. 2018 Autumn semester

Lecture topics


1. What is Digital Humanitarities? Relevant public / cultural processes and research issues. Use of computer technology in research. Research model. Integrated research methods and data.

1.1 Description of the Digital Humanitarity Project, Analysis of Project Examples.
(Student groups (3-5 persons) choose a topic for practical work – a research project that is implemented using course-based methods, integrating self-collected textual, audio, visual and numerical data. Analyzing and presenting societal and cultural processes and cultural texts that interest researchers in the humanities and social sciences.)

1.2. Electronic map and its use for visual presentation, compilation and management of the research community.

2. Real and Virtual Ethnography – Real and Virtual Groups (Twitter, FB) monitoring, interviewing, document analysis. Combining qualitative and quantitative methods. Research questions and examples of research. Field research ethics, researcher basics and digital tools.

3. Use of computer tools for processing and analyzing text, sound, visual data of field research. Digitization and storage of data, preparation for analysis, coding, identification and comparison of objects and events. Techniques and tools for visualizing text information.

4. Digital historical sources. Topical research questions, traditional and digital research methods – text analysis, data and text extraction, maps, data visualization. Examples of digitization, storage and visual presentation of historical texts.

5. Digitization and storage of data and texts. Creating maps.

6. Intelligent research tools – electronic questionnaires and mobile phone gadgets, their use and research examples. Integration of game elements into questionnaires. Ethics of the questionnaire and basics of the researcher’s work.

7. Basics of computer-based questionnaire data analysis, advantages of numerical and textual data integration, data visualization, presentation.

8. ‘Social networks’, opportunities and perspectives of their research, related research issues, analysis of examples. Research ethics and research fundamentals.

9. Computerized analysis and visualization of social network data.

10. Large data, data mining and examples of its use (eg Shakespeare’s works, press texts, texts of virtual forums, written history documents, etc.). Data storage. Metadata formats. Ethics in dealing with large data and the basics of the researcher’s work.

11. Preparation of texts for analysis. Methods of Text Data Analysis and Classification of Texts. Object and event recognition in text. Information maps suitable for large data. Methods and tools for information visualization.

12. Conceptualization and visualization of project results.

12.1. Communication design, information architecture, multi-media presentation methods.

13. Selection of presentation type, formation and creation of presentation structure.


Digital Humanitarian Infrastructure


Journals: https://wiki.commons.gc.cuny.edu/Journals/
DARIAH Digital Research Infrastructure for Humanities and Arts: http://dariah.eu
CLARIN Language Resources and Technologies; language / text analysis tools: https://www.clarin.eu/
Organizations: http://guides.lib.umich.edu/c.php?g=283104&p=1886131


Examples of digital humanitarities projects


(a) Migration of ethnic groups (individuals, cultures, religions, experiences and their portrayal in the media);
(b) Urban cultural spaces (persons, life styles and meanings, architecture, history);
(c) Urban ecological map (persons, groups, objects); (d) Research on the identity of basketball fans and others.

The challenge of the course is to try to answer the question – how do you think and live if you were a hippie (or green, homeless, professor, mayor of the city, army volunteer, basketball fans, representative of another group). What would be your values, what would you do, how would you spend your free time, what kind of music would you listen to, what would your friends be …? As you can see the surrounding society, its various groups, what problems would you care about, how it would affect your life, your thoughts, your beliefs, your values, your behavior.
Human communication with the environment and creating a social process that (developed) can bring society into prosperity, or create tensions, strife. We will explore and discuss these issues with modern technology.
http://detroitdigital.matrix.msu.edu/index.html
An example of a digital archive: http://whitmanarchive.org/
Projects: https://digitalhumanities.ucsc.edu/projects/


Administrators/Professors/Lecturers


Administrator:
dr. Vitalija Kasperavičiūtė, vitalija.kasperaviciute@vdu.lt
Tel. 8-37-327836 (vietinis 3831)

Professors/lecturers:
Research on social / cultural processes:
lekt. dr. Judita Kasperiūnienė (social research), doc. dr. Egidija Kiškina (research of small groups of society), lekt. dr. Marius Sirutavičius (history research).

Computerized data analysis:
prof. dr.Tomas Krilavičius (social network research, data visualization), doc. dr. Daiva Vitkutė – Adžgauskienė (computerized data analysis methods for text data), doc. dr. Andrius Utka (computerized data analysis methods for text data).

Presentation of digital humanitarian projects:
lect. Kristijonas Jakubsonas (audiovisual presentation solutions for research projects), doc. dr. Rimantas Plungė (application of new media in project presentation), lect. Egidijus Vaškevičius (electronic maps, application of game elements in projects).

Course authors: doc. dr. Egidija Kiškina, doc. dr. Daiva Vitkutė – Adžgauskienė


Contacts for questions and feedback: agne.kalediene@vdu.lt