Data Science Evangelist Parul Pandey Describes How the WiDS Datathon Encourages Collaboration Between and Across Teams
Announcing the 4th Annual WiDS Datathon Challenge: Identifying Diabetes Condition to Provide Better Care for ICU Patients
IBM's Susan Malaika Explains How WiDS Successfully Pushes Women Forward to Reach Their Potential Around the World
Srujana Kaddevarmuth of Walmart Labs Believes Diversity of Perspectives in Data Science is Vital to Solving the World's Pressing Challenges
BBC Data Scientist Megan Stodel was Inspired and Supported by the London WiDS Community to Launch her Data Science Career
With the onset of the COVID-19 pandemic, Francesca Dominici and Rachel Nethery of Harvard T.H. Chan School of Public Health saw a way to connect the research they were doing on air pollution and health with the pandemic. On a recent episode of the WiDS Podcast, they discuss how they are studying the effects of air pollution exposure on different causes of hospitalization to see if pollution could increase a person's vulnerability to COVID-19. While the research is at a preliminary stage, there is a lot of information that points towards the possibility that long-term exposure to air pollution could increase the mortality risk for COVID-19.
Iryna Ivanenko Explains How Her Love of Coding Competitions Led Her to the WiDS Datathon and a Second Place Prize in 2020
Iryna Ivanenko, second place winner of the WiDS Datathon 2020, is a data science and machine learning developer and former WiDS ambassador from Kyiv, Ukraine.
Manisha Desai is a professor of medicine (research) and of biomedical data science, and director of the Quantitative Sciences Unit at Stanford University. She is an expert in the design and analysis of clinical trials and epidemiologic studies across multiple diseases, including COVID-19. In a recent episode of the WiDS Podcast, she provides some insights into the challenges and progress of COVID-19 clinical trials.
To commemorate Juneteenth, we are reaching out to clearly state our actions and intentions in response to recent events. In the past weeks and months the US and the world have been reeling–first with a global pandemic, followed by the systemic injustice, inequality, and racism that the pandemic and most recent acts of police brutality exposed.
Newsha Ajami is a hydrologist specializing in sustainable water resource management, water policy, the water-energy-food nexus, and urban water strategy. When she was studying hydrology in grad school, she took a water policy class that changed the trajectory of her career. "I would say that was one of the most important events in my professional career. I realized that laws and policies are what change the way we manage resources,” she says. All the data optimization and modeling means nothing unless you can understand the policy layer imposed on how our natural systems operate.
Andrea Gagliano, Head of Data Science, AI and Machine Learning at Getty Images, works at the intersection of art and technology — using machine learning to inspire creativity, and the arts to comprehend technology. She speaks with Professor Margot Gerritsen on the WiDS Podcast.
Ya Xu manages LinkedIn’s global team of data scientists that manage data science projects across the company’s products, sales, marketing, economics, infrastructure, and operations. On a recent episode of the WiDS Podcast, she says the company takes active responsibility over the data they collect to ensure fairness and protect privacy. They are very proactive about how they maintain their members’ trust, either with how they share the data externally or leverage the data to create opportunities.