Here are some highlights from a few of the WiDS Datathon workshops:
The WiDS Datathon in Maastricht was hosted for the second time in 2021, this year online. During the 2-day event, WiDS ambassadors offered a series of activities including two training sessions for beginners, hacking time followed by a pitch session, and social activities for networking. Around 90 participants showed the diversity of the community with people from academia and industry, at various career stages and from different regions around the world joining the datathon. The participants were encouraged to learn from each other and improve their data science skills, think about the bias and fairness of their models, and explain their approach to the domain experts during the pitches. At the end of the event, we awarded the Responsible Data Science Pioneer Team to “TUD Girls” (Barbara Rentroia, Leonoor Tideman, and Padmaja Kulkarni)! You can find their amazing pitch recording here.
If you are interested in the two pre-training sessions, watch the recordings.
WiDS Hyderabad hosted a series of six workshops with nearly 300 attendees. The WiDS ambassadors began by introducing Kaggle, and walked through the WiDS Datathon 2021 problem statement. They then hosted an exclusive session on exploratory data analysis and another two sessions for beginners on AI/ML introduction and different models. They also had an interesting session on Automated model building using Auto AI, finding and deploying the performing models in minutes. Many notebooks were also shared by the presenters, and mentors were assigned to guide some of the participants.
The WiDS Sydney ambassadors held datathon mentoring sessions on three Wednesday's in February. During the first session the WiDS ambassadors set the stage for the datathon, getting everyone to introduce themselves, and helping them form teams. During the next session they covered the CRISP-DM framework used in many data science projects. That was followed by Exploratory Data Analysis (EDA) and then basics on Modelling and deploying those models. The final session covered ethics in data science projects and wrapped up with details of the WiDS Sydney Festival. As Kanupriya Arora, a workshop attendee said,
It was my second mentoring session with WiDS. The sessions have been so insightful and enlightening with regards to the data science practice and process currently being implemented in the organizations. Thank you for providing us with this platform, inspiring us and educating anyone who wants to upskill their data science skills.
The joint WiDS Datathon workshop hosted by WiDS ambassadors in Indore and Guwahati was held February 21st with nearly 50+ students and working professionals participating. The datathon workshop speakers Nidhi Gangrade and Usha Rengaraju, covered some of the important topics in understanding data science such as “Unlocking the full potential of AI: Going beyond the supervised learning” and WiDS Datathon and Kaggle, giving participants an introduction to Jupyter notebooks along with a demo code. Participants put forward their queries to the speakers and discussed a probable solution, making for a good learning experience for all participants.
WiDS @ IBM
Over 26 teams from IBM participated in the WiDS Datathon 2021 and appeared on the contest leaderboard. The teams were based in various countries including Brazil, China, India, Pakistan, UAE, UK, and the US. The teams came from different groups such as Cloud and Cognitive Software, Finance & Operations, Global Business Services, Global Markets and Research. Some IBMers also acted as mentors for both IBM and non-IBM teams.
IBM ran multiple datathon on-boarding workshops including the following sessions to make the novice teams comfortable engaging in a contest:
17 Dec - featuring Shreya Khare from IBM Research
18 Dec - featuring Shreya Khare from IBM Research
9 Feb - featuring Usha Rengaraju, Kaggle Grandmaster X 2, Corporate & Faculty Training
As Sneha Varghese, a WiDS Datathon participant said,
I joined WiDS Datathon 2021 to enhance my data science skills, learn from knowledge sharing and also to influence others to join such Datathon competitions. A few things I like most about the competition are the emphasis on women participation, instant feedback you get when you submit your results every day, the Kaggle notebook platform that lets you edit any existing shared notebook allowing even freshers who may not have a local notebook environment to participate, the discussion threads etc.. I would highly recommend data science profession aspirants as well as experts to join future WiDS Datathon competitions to collaborate and sharpen their skills.
Read more about the WiDS Datathon workshops that took place at IBM.
The WiDS Hanoi ambassadors hosted the first WiDS datathon workshop in Vietnam, attracting 150+ concurrent viewers and 5000+ post-stream views. The workshop introduced attendees to the WiDS initiative and the WiDS Datathon 2021. It also gave some instructions on exploratory data analysis and feature engineering. The highlight of the workshop was the Q&A session in which speakers shared their personal experience and suggested different career paths in data science to participants.
After the workshop, the WiDS Vietnam ambassadors addressed unanswered questions and supported the datathon teams until the submission deadline.
The WiDS Bengaluru Datathon Workshop was hosted on January 14th, with about 100 engaged participants who provided great feedback. The WiDS Bengaluru ambassadors reached out to all the southern states of India, where you can see a surge in participation from Bengaluru, Mysuru, Pune, Chennai and other southern states.
Next, WiDS Datathon Phase 2 Research Paper
Thank you to all ambassadors who hosted WiDS Datathon workshops!
WiDS Datathon Phase 2 is now open. If you participated in the WiDS Datathon Phase 1 on Kaggle, we invite you to share more details about your work with WiDS Datathon 2021 data through a research paper of up to 3 pages. Submissions for the WiDS Datathon Excellence in Research Award are open March 9 - April 30, 2021. Learn more, and submit your paper today!
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