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This site contains information related to the 2018 workshop on networked privacy. This year’s workshop, being held at CSCW in Jersey City on November 3rd, is titled, “Privacy in Context: Critically Engaging with Theory to Guide Privacy Research and Design.”

Privacy has been a key research theme in the CSCW and HCI communities, but the term is often used in an ad hoc and fragmented way. This is likely due to the fact that privacy is a complex and multi-faceted concept. This one-day workshop will facilitate discourse around key privacy theories and frameworks that can inform privacy research with the goal of producing guidelines for privacy researchers on how and when to incorporate which theories into various aspects of their empirical privacy research. This will lay the groundwork to move the privacy field forward. To inspire participants and spark discussion, we will have a special keynote speaker, Dr. Helen Nissenbaum, engage with the audience about her renowned Contextual Integrity framework. Dr. Nissenbaum is a Professor of Information Science at Cornell Tech and her framework focuses on understanding privacy expectations and their implications.

Important Dates

• Submission Deadline: August 31, 2018 (Late submissions will be accepted through September 24th, 2018)
• Submission Notifications: September 9, 2018
• Camera-ready Deadline: September 28, 2018
• Date of Workshop: November 3, 2018

How to Participate

We seek participants from various domains for a multidisciplinary workshop to
share their knowledge and views of both the theory and design of privacy. Submission format is as follows:

• Position Paper: A 2 to 4 page position paper in CHI extended abstracts format that address the workshop themes and highlighted topics provided in the call. (References not included in page limit).

Papers will be peer-reviewed, and submissions will be accepted based on the relevance and development of their chosen topic, as well as their potential to contribute to the workshop discussions and goals. Topics of interest include, but are not limited to:

• Identification of relevant privacy theories
• Empirical studies that incorporate privacy theories
• Methodological considerations for incorporating privacy theories into empirical research
• Implementing privacy theories in collaborative systems’ design

How To Submit

• Position papers should be sent to [email protected] before or on August 31, 2018 11:59 PM Pacific Standard Time.

Submissions will be peer-reviewed by the workshop’s program committee. Acceptance decisions will be sent out by September 9, 2018 and camera-ready versions due at the end of September and will be made available on the workshop website.

NOTE: At least one author of each accepted position paper must attend the workshop and all participants must register for both the workshop and for at least one day of the conference.

Contact

Final submissions and questions about the workshop should be sent to [email protected].

Speaker(s): Neil Lawrence (Amazon), Cathal Gurrin (Dublin City University) and Ansgar Koene (University of Nottingham)

Summary of the event:
The aim of the meeting is to discuss emerging issues around the ethics, transparency and biases of Information Retrieval and Analytics. Keynote speakers from Academia and Industry will provide insights on issues such as ethics, data governance, management/regulation of search systems, machine learning, algorithm transparency and data/system biases. This will be accompanied by discussions on the impacts on Information Retrieval and related areas, such as the gathering and sharing of data to model users and their context for personalisation and recommendation; the reuse of user data used to adapt/model search and recommendation; the biases and potential manipulation of search results and the societal impact of this; the explainability and transparency of search algorithms; and maintaining and preserving the privacy of users within search and recommendation.

Speaker Biographies:
The speakers are renowned experts in the field of information retrieval, data science and algorithmic bias.

Neil Lawrence is Director of Machine Learning at Amazon in Cambridge. His main research interest is machine learning through probabilistic models.

Ansgar Koene is Senior Research Fellow at The University of Nottingham. He is Co-Investigator on the UnBias project whose goal is to emancipate users against algorithmic biases for a trusted digital economy.

Cathal Gurrin is Associate Professor at Dublin City University. His work focuses on the generation and analysis of personal digital archives known as lifelogs.

Overview of Agenda:
08:30 – Registration
09:00 – Welcome and Introduction
09:00 – Keynote 1: Neil Lawrence (Amazon)
09:45 – Keynote 2: Cathal Gurrin (DCU)
10:30 – Coffee (+Posters if we include them)
11:00 – Industry Perspectives (Short talks)
11:45 – Keynote 3: Ansgar Koene (University of Nottingham)
12:30 – Lunch
14:00 – Keynote 4: TBC
14:45 – Academic Perspectives (Short talks)
16:00 – Tea (+Posters if we include them)
16:15 – Panel Session and discussion
17:00 – Close

Will catering be provided?
Refreshments will be provided on arrival and during the breaks, as well as lunch.

About the organiser:
The BCS Information Retrieval SG organises this event; find out more about the group at http://irsg.bcs.org/.

Refund Policy:
A full refund will be issued if a cancellation is received within 14 days of the booking date or by 12:00 pm on Friday 31st August 2018, otherwise, name substitutions will be allowed after this date.

For overseas delegates who wish to attend the event please note that BCS does not issue invitation letters.

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