HILDA brings together researchers and practitioners to exchange ideas and results on human-data interaction. It explores how data management and analysis can be made more effective when taking into account the people who design and build these processes as well as those who are impacted by their results.
We are trying to change things up a bit for HILDA 2022 (inspired by workshops such as PLATEAU). There are now several good venues for the kind of work that HILDA has traditionally attracted. We plan to focus the workshop on early-stage research that is promising and exciting. A core part of this plan is that every paper gets a mentor. More details on the process are below.
Our exciting program will feature the following invited keynote speakers to talk about the challenges of human-data interaction.
- Sudeepa Roy, Assistant Professor, Duke University
- Kanit (Ham) Wongsuphasawat, Databricks
- Duen Horng (Polo) Chau, Associate Professor, Georgia Tech
The times in the following schedule are all in EST. Keynotes are 30 minutes with 15 minutes of Q&A. Regular talks are 10 minutes and QA will be in a panel after a block of talks.
The scheule is not finalized and may change. Please check it again closer to the event.
|9:45||Keynote by Sudeepa Roy: 🎥 Causality and Explanations for Interpretable Data Analysis|
Context Sight: Model Understanding and Debugging via Interpretable Context 🎥
Quest: A Query-Driven Framework to Explain Classification Models on Tabular Data 🎥
Exploratory Training: When Trainers Learn 🎥
|13:30||Keynote by Kanit (Ham) Wongsuphasawat: 🎥 The Evolution of Visualization Tools|
Designing the Evaluation of Operator-Enabled Interactive Data Exploration in VALIDE 🎥
Enabling Useful Provenance in Scripting Languages with a Human-in-the-Loop 🎥
Another Way to Implement Complex Computations: Functional-Style SQL UDF 🎥
|15:45||Keynote by Duen Horng (Polo) Chau: 🎥 Visualization for Deep Learning: An Odyssey|
HumanAL: Calibrating Human Matching Beyond a Single Task 🎥
Opportunities and risks for engaging research participants with self-logged menstrual health data at scale 🎥
Flexible and Scalable Annotation Tool to Develop Scene Understanding Datasets 🎥
Towards Causal Query Answering for Debugging Video Analytics Systems 🎥
What to submit
We encourage both standard research papers and more unusual works—for instance papers that describe in-progress work, reports on experiences, question accepted wisdom, raise open problems, or propose speculative new approaches. A HILDA submission should describe work or perspectives that will lead to interesting discussions at the workshop or that the authors want feedback on.
We welcome work that proposes innovations in design to improve the way people can work with data management systems, as well as work that studies empirically how humans interact with existing systems. We welcome research that comes from the traditions of the database systems community, and also reports on industry activities, and research on data topics from communities that study people and organizations. A sample of topics that are in the spirit of this workshop include, but are not limited to:
- novel query interfaces,
- interactive query refinement,
- data exploration and analysis,
- data visualization,
- human-assisted data integration and cleaning,
- perception-aware data processing,
- database systems designed for highly interactive use cases,
- empirical studies of database use,
- evaluating and ensuring fairness in data-driven decision making processes
- understanding the outcomes of processes through provenance and explanations
- interactive debugging of complex data systems
- crowd-powered data infrastructure, etc.
Submissions can also examine any of the above topics from an application or domain perspective.
HILDA is a forum where people from multiple communities engage with one another's ideas. We are keen to have submissions that present initial ideas and visions, just as much as reports on early results, or reflections on completed projects.
The workshop will focus on discussion and interaction, rather than static presentations of what is in the paper.
Review and Mentorship Process
HILDA reviews are single blind. All submitted papers will be reviewed by at least three reviewers who will determine the fit of the work for HILDA's unique mentorship process this year, the quality of the work, and its potential for future research.
Every accepted paper will be assigned a mentor who will engage with the authors providing constructive feedback through one-on-one, virtual, discussions. We hope that the authors will work closely with their mentors to improve the substance and direction of their work.
Authors and mentors can withdraw without repercussions due to unforeseen conflicts. In such situations, the program chairs will try to find another suitable mentor.
All accepted papers will have the chance to demonstrate the work during the workshop's demonstration session. For papers selected for presentation at the conference, the mentors will also introduce and contextualize the work and enable feedback from the attendees.
Final camera-ready submissions will be solicited for a selection of the accepted papers after the workshop allowing authors to integrate feedback from discussions with the mentor and workshop participants.
Authors are invited to submit papers between four and six pages in length excluding references and using the standard SIGMOD paper formatting template Submissions should reflect the current state of the research work but also include a section on limitations and challenges that they wish to receive feedback from their mentors and the HILDA community on.
All submissions must follow the latest ACM paper format with 10pt font size.
You can submit your papers through EasyChair.
- We will provide links to accepted papers in the program here as well as publish them for a year through the ACM DL.
- Workshop Date: June 12, 2022
April 1, 2022 AOEApril 11, 2022 AOE
- Notification of outcome: April 22, 2022
- Camera-ready due: July 1, 2022 (after the workshop)
- Azza Abouzied (New York University Abu Dhabi)
- Dominik Moritz (Carnegie Mellon University)
- Mike Cafarella (MIT CSAIL)
- Arnab Nandi
- Arun Kumar
- Arvind Satyanarayan
- Behrooz Omidvar-Tehrani
- Brit Youngmann
- Cagatay Demiralp
- El Kindi Rezig
- Eugene Wu
- Giuseppe Santucci
- Jean-Daniel Fekete
- Jeffrey Heer
- Kanit Wongsuphasawat
- Leilani Battle
- Leo Liu
- Melanie Tory
- Minsuk Kahng
- Oliver Kennedy
- Roee Shraga
- Tiziana Catarci
- Zoi Kaoudi
- Carsten Binnig (TU Darmstadt)
- Juliana Freire (New York University)
- Joseph M. Hellerstein (University of California, Berkeley)
- Aditya Parameswaran (University of California, Berkeley)
For questions, please email the workshop chairs directly.
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