WiDS 2017 and WiDS 2015 News Archives
Recode: Data science is creating a tidal wave of opportunity for women to get into executive leadership
We have reached the tipping point in big data. We can now access, manage and manipulate massive amounts of data with such ease that the real work has shifted to analysis and practical applications across industries. This new discipline, called data science, will not be exclusive to the male-dominated computer science profession, and a tidal wave of opportunity will arise for women. Read more.
SIAM News: Documenting Syrian Deaths with Data Science
Megan Price, executive director of Human Rights Data Analysis Group, discussed her organization’s behind-the-scenes work to collect and analyze data on the ground for human rights advocacy organizations. HRDAG partners with a wide variety of human rights organizations, including local grassroots non-governmental groups and—most notably—multiple branches of the United Nations. Read more.
Harvard News: Pushing boundaries; WiDS Cambridge highlights research and challenges for data scientists as part of global network event
Jennifer Chayes, managing director and co-founder of Microsoft Research New England, opened the WiDS Cambridge event by discussing challenges involved in network science. Read more.
Stanford Report: WiDS conference reaches worldwide audience
They came to Stanford from 114 companies and 31 universities – with thousands more joining online – for the second annual Women in Data Science conference. Simultaneously, 78 satellite events in 26 countries were underway, on every continent but Antarctica. The conference trended nationally on Twitter all day. Read more.
Career Insights from Influential Leaders in Data Science
The speaker list of the {Women in Data Science] conference included a mix of academic, government, nonprofit, and industry leaders. Their job titles included president, chief scientist, senior vice president, associate dean, chief operating officer, and director of research. And they were all women! In addition to discussing their technical work, they also shared principles that were key to their success. Read more.
Creating the ideal data scientist in the era of automation
As the demand for computer scientists grows, technology companies are taking things into their own hands by fostering the next-generation of innovators. WD, a Western Digital company, is an industrial data powerhouse that encourages a culture of diverse learning cycles for internship programs to help the new guard understand failure and how to learn from it. Read more.
Career Advice From Amazing Female Scientists and Engineers
Women earn more than 50 percent of the bachelor's degrees issued in the US, but still trail men when it comes to degrees granted in Science, Technology, Engineering and Mathematics (STEM) fields. It's a sobering reality that underscores the importance of events like the second annual Women in Data Science (WiDS) Conference at Stanford University. Read more.
Scaling Data Science with WIDS 2017
Shubhi Ashthana of IBM Almaden Research Center writes about her experience at the Women in Data Science Conference in Stanford University, along with short summaries of some of the technical vision talks. Read more.
The Stanford Daily: Stanford ICME hosts Women in Data Science conference
Speakers at the Women in Data Science (WiDS) conference gave attendees insight into cutting-edge research in the data science industry. Over the course of the day, the conference hosted a moderated fireside chat, two keynote addresses, a variety of “technical vision talks” and a career panel. The morning’s fireside chat featured Lori Sherer, a partner at Bain & Company, and Caitlin Smallwood M.S. ’93, vice president of science and algorithms at Netflix. Read more.
WiDS Report: WiDS Santa Clara by WiBD
WiDS Santa Clara was hosted at Intel's campus by the Women in Big Data organization. Read an account from WiDS Ambassadors Soumya Goupta and Kimberlee Stephens about their observations and insights. Read more.
SIAM News: Artificial Intelligence’s Steady Rise to Prominence
As technology continues its progressive advance and large amounts of data are increasingly available, artificial intelligence (AI) is becoming an everyday reality. Some people embrace AI while others fear it, but nearly everybody lives it in one form or another. Read more.
Data Science: Data Culture and Career Tips at WiDS2017
Yael Garten, Director of Data Science at LinkedIn, blogs about her experience as a speaker at the Women in Data Science Conference, and shares some valuable career tips for those interested in joining the data science field. Read more.
Klaas Broekhuizen of Dutch Financial Daily writes about WiDS Stanford
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WiDS Conference @ SAP Berlin
Gender equality is an important part of SAP’s mission to make the world run better and improve people’s lives. On February 4, 2017, SAP Next-Gen together with the SAP Innovation Network and Diversity and Inclusion hosted the tech community at the SAP Berlin office to be inspired by amazing two speakers and a great panel discussion on-site as well as a live-stream from Stanford University. Read more.
American University of Beirut Suliman S. Olayan School of Business (OSB) partners with Stanford University in collaboration for women data scientists
WiDS Beirut brought together academics and professionals in the industrial and entrepreneurial sectors working in data science, the conference focused on data science research, practices, and educational collaborations in the Middle East region. Read more.
Google’s Diane Greene: Machine learning will cost jobs, so skills training is essential
Diane Greene, senior vice president in charge of Google Inc.’s cloud business, said at the Women in Data Science conference at Stanford University on February 3, 2017 that there is “no question” that machine learning, a branch of artificial intelligence that uses data to help computers learn rather than explicitly programming them, is replacing jobs. Read more.
The Women in Data Science (WiDS) Conference covers the latest data science related research in a wide range of areas. The one-day technical conference illustrates how leading-edge companies are leveraging data science for their applications, with the goal of inspiring and educating data scientists, and supporting women in the field. The conference provides a great opportunity to connect with mentors, collaborators, and those conducting exciting research in the field.
Live from Anita Borg Institute's Grace Hopper Conference:
How Stanford is empowering women in the data science field
During Anita Borg Institute's Grace Hopper Conference held in Houston, TX, Karen Matthys and Judy Logan of ICME at Stanford talk about Stanford's role in bringing more gender diversity to the data science and related fields through the creation of the Women in Data Science organization Read more.
How data and analytics are transforming industries
.At Stanford's first Women in Data Science Conference, attendees from industry and academia discuss personalized medicine, entertainment, marketing, cybersecurity and more. "Solutions to the challenges of our future increasingly link back to data and data science," said Stanford Engineering Dean Persis Drell in her opening remarks. Read more.
Network Science: From the Online World to Cancer Genomics
The prospect of forging new business models and drug therapies by analyzing large scale networks will be among the topics explored in the welcoming keynote address as the inaugural Women in Data Science Conference opens at Stanford University today. Jennifer Chayes, distinguished scientist and managing director at Microsoft Research, will present the keynote. Read more.
Needed: More Women in Data Science
Margot Gerritsen and Persis Drell laid out the business case for more women in the data science world. "People are screaming for good data scientists," Gerritsen said. "Not tapping into 50 percent of our population of our talent would of course be a very silly thing to do," Gerritsen said, adding that understanding data science requires diversity. Read more.
SIAM News: What you Missed
Data Science is one ofthe hottest fields in industry, government, and academia. The demand for data scientists far exceeds the supply of qualified candidates. Good data science requires an interdisciplinary and inclusive approach: team work is common, and diversity is highly desirable. Yet, women (and URM, or under-represented minority) continue to be significantly underrepresented and under supported. Read more.
Biomedical Computation Review
What happens when hundreds of talented women gather in one place? The impressive roster of all-female WiDS conference speakers exemplified the field’s breadth. About one-third of the speakers came from academia and two-thirds from industry, and the conference covered a diverse set of data science applications, from monitoring individuals with Parkinson’s disease, to cancer genomics, cyber security and online marketplaces. Read more.