19331101

SoSe 22: Human Centered Data Science

Claudia Müller-Birn

Additional information / Pre-requisites

Link to the course on the HCC-Website: https://www.mi.fu-berlin.de/en/inf/groups/hcc/teaching/Summer-Term-2022/course_human_centered_data_science.html read more

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In recent years, data science has developed rapidly, primarily due to the progress in machine learning. This development has opened up new opportunities in a variety of social, scientific, and technological areas. From the experience of recent years, however, it is becoming increasingly clear that the concentration on purely statistical and numerical aspects in data science fails to capture social nuances or take ethical criteria into account. The research area Human-Centered Data Science closes this gap at the intersection of Human-Computer Interaction (HCI), Computer-Supported Cooperative Work (CSCW), Human Computation, and the statistical and numerical techniques of Data Science.

Human-Centered Data Science (HCDS) focuses on fundamental principles of data science and its human implications, including research ethics, data privacy, legal frameworks, algorithmic bias, transparency, fairness, and accountability, data provenance, curation, preservation, and reproducibility, user experience design and research for big data, human computation. The course also teaches effective oral, written, and visual scientific communication as well as skills to reflect on the societal impacts of data science.

At the end of the course we expect students be able to

apply human-centered design methods in the data science practice, including ethical concerns and privacy requirements,
build reproducible data science workflow,
know how to differentiate the terms bias, fairness, accountability, transparency and explanations,
apply measures, techniques and frameworks on human-centered explainable AI (XAI),
responsibly integrate human labor, i.e., crowdsourcing, in data science projects, and
augment data science workflows by qualitative research approaches.

At the end of this course, students will understand the main concepts, theories, practices, and different perspectives on which data can be collected and manipulated. Furthermore, students will be able to realize the impact of current technological developments may have on society.

Please note, this course curriculum was initially developed by Jonathan T. Morgan, Cecilia Aragon, Os Keyes, and Brock Craft. We have adapted the curriculum for the European context and our specific understanding of the field.

25 Class schedule

Regular appointments

Thu, 16:00 - 18:00 Human Centered Data Science 13 Class schedule

Thu, 2022-04-21 16:00 - 18:00

Human Centered Data Science

Thu, 2022-04-28 16:00 - 18:00

Human Centered Data Science

Thu, 2022-05-05 16:00 - 18:00

Human Centered Data Science

Thu, 2022-05-12 16:00 - 18:00

Human Centered Data Science

Thu, 2022-05-19 16:00 - 18:00

Human Centered Data Science

Thu, 2022-06-02 16:00 - 18:00

Human Centered Data Science

Thu, 2022-06-09 16:00 - 18:00

Human Centered Data Science

Thu, 2022-06-16 16:00 - 18:00

Human Centered Data Science

Thu, 2022-06-23 16:00 - 18:00

Human Centered Data Science

Thu, 2022-06-30 16:00 - 18:00

Human Centered Data Science

Thu, 2022-07-07 16:00 - 18:00

Human Centered Data Science

Thu, 2022-07-14 16:00 - 18:00

Human Centered Data Science

Thu, 2022-07-21 16:00 - 18:00

Human Centered Data Science

Thu, 16:00 - 18:00 Human Centered Data Science 12 Class schedule

Thu, 2022-05-05 16:00 - 18:00

Human Centered Data Science

Thu, 2022-05-12 16:00 - 18:00

Human Centered Data Science

Thu, 2022-05-19 16:00 - 18:00

Human Centered Data Science

Thu, 2022-05-26 16:00 - 18:00

Human Centered Data Science

Thu, 2022-06-02 16:00 - 18:00

Human Centered Data Science

Thu, 2022-06-09 16:00 - 18:00

Human Centered Data Science

Thu, 2022-06-16 16:00 - 18:00

Human Centered Data Science

Thu, 2022-06-23 16:00 - 18:00

Human Centered Data Science

Thu, 2022-06-30 16:00 - 18:00

Human Centered Data Science

Thu, 2022-07-07 16:00 - 18:00

Human Centered Data Science

Thu, 2022-07-14 16:00 - 18:00

Human Centered Data Science

Thu, 2022-07-21 16:00 - 18:00

Human Centered Data Science

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Location: T9/055 Seminarraum (Takustr. 9)

Schedule: Do 16:00-18:00

Class starts on: 2022-04-21

Course language: German/English

Contact hours: 2

Number of participants: 20

Limited attendance: Yes

Attendance required: No

Relevant semester: 0

Modules where this course belongs:

Freie Universität Berlin

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Course catalog

SoSe 22: Human Centered Data Science

Claudia Müller-Birn

Additional information / Pre-requisites

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25 Class schedule

Freie Universität Berlin

Subjects A - Z