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Michael Muller <[log in to unmask]>
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Michael Muller <[log in to unmask]>
Wed, 23 Oct 2019 22:05:08 -0400
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Mapping Out Human-Centered Data Science:
Methods, Approaches, and Best Practices

One-day workshop to be held Sunday, January 5, 2020
at GROUP 2020 on Sanibel Island, FL.

Social media platforms and social network sites generate a
multitude of digital trace behavioral data, the scale of which
often necessitates the use of computational data science methods.
On the other hand, the socio-behavioral and often relational
nature of the social media data requires the attention to context
of user activity traditionally associated with qualitative
analysis. Human-Centered Data Science (HCDS) attempts to bridge
this gap by both harnessing the power of computational techniques
and accounting for highly situated and nuanced nature of the
social media activity. In this workshop we plan to consider the
methods, pitfalls, and approaches of how to do HCDS effectively.
Moreover, from collating and organizing these approaches we hope
to progress to considering best (or at least common) practices
in HCDS.

Workshop Objectives

- Bring together and establish a community of sociotechnical
  researchers from various disciplines and methodological
  traditions who are interested in combining the human-centered
  perspective with the computational power of data science methods

- Encourage interaction and collaboration between researchers
  from different domain areas and methodological traditions.

- Collate a list of existing practices in Human-Centered Data
  Science and approach the issue of the best practices in this domain.

- Organize the existing practices into coherent emergent categories
  that will help the HCDS community to refine and extend its practices.

- Compile a HCDS reading list, organized by the above categories, and
  enable further community engagement with this list through comments.

We invite potential participants to submit a two to four page
position paper by November 1 by emailing it to
[log in to unmask] At least one author must attend the workshop.
The position papers may include any type of the following contributions:

- Current or potential empirical studies that (will) employ Human-
  Centered Data Science approaches

- Current and potential methodological studies, where methods developed
  (or proposed) fall under the umbrella of Human-Centered Data Science

- Current and potential methodological studies aimed at evaluating the
  quality of various HCDS approaches and practices.

For more information, please see the workshop website at .

Workshop organizers: Marina Kogan, Aaron Halfaker, Shion Guha, Cecelia
Aragon, Michael Muller, and R. Stuart Geiger.
Michael Muller, PhD, IBM Research, Cambridge MA USA
ACM Distinguished Scientist
IBM Master Inventor

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