Call For Papers
Call for Papers
Data science is an interdisciplinary field about processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, which is a continuation of some of the data analysis fields such as statistics, machine learning, data mining, and predictive analytics.
Data science encompasses several areas such as data analytics, machine learning, statistics, optimization, and managing big data.
WinDS will bring together women researchers and practitioners in the field to deal with emerging challenges from both theoretical and practical perspectives on data science and advanced analytics. Work in the data science field to help minorities and for social good, especially for women, is more than welcome, as well as work in application of data science to finance, health, sport, politics, and so on. The same we are open to receive work done by women in data science field exposing problems they faced in their daily jobs and how it was solved so that we can help by example other women and stimulate more women in this career.
This year we have three different tracks:
- Traditional Academic submission: authors can submit original work, unpublished ideas in the form of completed work or work-in-progress papers of at least 4 pages and up to 8 pages in length (including references).
- Problems in the Data Science field that women face in your daily job: Work in progress on approaches in data science that analyze and tackle bias and increase data diversity or industry project/cases led by women. For this, authors can submit a two pages in length paper presenting the case and how it was solved to help other women.
- Lighting Talk: women that are presenting at the main conference and would like to participate in the workshop by presenting their work can submit a one page abstract. We also accept abstracts of papers presented at other venues.
The main author of the paper should be a woman.