Christine did a great job, really proud of her and of this work, and grateful to the #CHIIR2023 community for their attention and support.
Christine is presenting our paper at #CHIIR2023, with Amifa and @alex. Looking forward to the discussion! https://md.ekstrandom.net/pubs/chiir-gender
Much Ado About Gender: Current Practices and Future Recommendations for Appropriate Gender-Aware Information Access

CHIIR 2023 paper about how gender is and should be used in information retrieval research and practice, with an eye towards promoting inclusiveness and gender equity.

Michael Ekstrand on the Web
#CHIIR2023 last session is starting, opened by Christine's presentation of our paper on gender in IR w/ @alex. https://md.ekstrandom.net/pubs/chiir-gender
Much Ado About Gender: Current Practices and Future Recommendations for Appropriate Gender-Aware Information Access

CHIIR 2023 paper about how gender is and should be used in information retrieval research and practice, with an eye towards promoting inclusiveness and gender equity.

Michael Ekstrand on the Web
Really liking this work by Jiaming Qu, Jaime Arguello, and Yue Wang on qualitative evaluation of explanations at #CHIIR2023. Making a compelling case for going beyond quantitative decision accuracy metrics for task-based explanation eval. (@Riedl you might find this interesting!) https://dl.acm.org/doi/10.1145/3576840.3578315
Understanding the Cognitive Influences of Interpretability Features on How Users Scrutinize Machine-Predicted Categories | Proceedings of the 2023 Conference on Human Information Interaction and Retrieval

ACM Conferences
Very interesting talk from Chirag Shah on an expansive and hierarchical notion of tasks in IR to kick off the #CHIIR2023 technical program.
Good morning #CHIIR2023!
If you're going to #CHIIR2023 this year, don't miss Christine's talk on Wed! She'll be presenting our paper w/ Amifa & @alex on the use of #gender in #IR & #recsys research, with both a survey of current use and research-based recommendations for responsibly using (or not) gender in future research and practice. I'll also be there, looking forward to catching up! https://md.ekstrandom.net/pubs/chiir-gender
Much Ado About Gender: Current Practices and Future Recommendations for Appropriate Gender-Aware Information Access

CHIIR 2023 paper about how gender is and should be used in information retrieval research and practice, with an eye towards promoting inclusiveness and gender equity.

Michael Ekstrand on the Web
Going to #CHIIR2023? My student will be presenting our work on gender in information retrieval in the last session: https://sigir.org/chiir2023/program/paper-sessions/

Friends, I am thrilled to share our recent #CHIIR2023 paper where we examined how data scientists seek, read, and understand research papers!

Paper: https://arxiv.org/abs/2301.03774

(sacrilegious) Tweet thread: https://twitter.com/MSheshera/status/1613388613126963203

Our paper grounds our findings in a number of interesting (and sometimes underappreciated!) prior and ongoing work, and speculates on meaningful future work in IR, NLP, HCI, and CSCW! I hope you read our paper and get in touch if you'd like to chat!

How Data Scientists Review the Scholarly Literature

Keeping up with the research literature plays an important role in the workflow of scientists - allowing them to understand a field, formulate the problems they focus on, and develop the solutions that they contribute, which in turn shape the nature of the discipline. In this paper, we examine the literature review practices of data scientists. Data science represents a field seeing an exponential rise in papers, and increasingly drawing on and being applied in numerous diverse disciplines. Recent efforts have seen the development of several tools intended to help data scientists cope with a deluge of research and coordinated efforts to develop AI tools intended to uncover the research frontier. Despite these trends indicative of the information overload faced by data scientists, no prior work has examined the specific practices and challenges faced by these scientists in an interdisciplinary field with evolving scholarly norms. In this paper, we close this gap through a set of semi-structured interviews and think-aloud protocols of industry and academic data scientists (N = 20). Our results while corroborating other knowledge workers' practices uncover several novel findings: individuals (1) are challenged in seeking and sensemaking of papers beyond their disciplinary bubbles, (2) struggle to understand papers in the face of missing details and mathematical content, (3) grapple with the deluge by leveraging the knowledge context in code, blogs, and talks, and (4) lean on their peers online and in-person. Furthermore, we outline future directions likely to help data scientists cope with the burgeoning research literature.

arXiv.org
Excited to finally share the preprint of our upcoming #CHIIR2023 paper with you all! With @alex and two of my students (first author is an undergrad!), we did a systematic review of uses of gender in information retrieval and recommendation research, along with recommendations about whether, when, and how to responsibly use gender information. https://md.ekstrandom.net/pubs/chiir-gender
Much Ado About Gender: Current Practices and Future Recommendations for Appropriate Gender-Aware Information Access

CHIIR 2023 paper about how gender is and should be used in information retrieval research and practice, with an eye towards promoting inclusiveness and gender equity.

Michael Ekstrand on the Web