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Machine Learning Provides Insights and Solutions Across Industries

12/13/2022

 
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Machine learning impacts so many parts of our daily lives, whether it’s doing a Google search, using your smart watch, or getting movie recommendations. Healthcare providers and businesses are using it to gain insights to guide decision making. And it’s also being applied to solve some of the world’s toughest problems like climate change and food security. Several recent WiDS talks, workshops, and podcasts describe the exciting applications of machine learning today and offer skills development workshops for new and experienced data scientists.

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Enseñanza y aprendizaje de la ciencia de datos en América Latina con Lesly Zerna

11/10/2022

 
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Lesly Zerna, investigadora, docente, mentora, creadora de contenido y desarrolladora de software boliviana, comparte su pasión por aprender y enseñar ciencia de datos e inteligencia artificial. Ella dice que el aprendizaje funciona mejor cuando conoces tu estilo de aprendizaje personal y lo aplicas a los temas prácticos que te interesan. 

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Mitigating Bias in Machine Learning and Data Science

10/18/2022

 
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​AI and machine learning are increasingly being used across industry and government to make decisions impacting many parts of our lives. These technologies could determine who gets a job interview, what products are advertised to different audiences, or what government resources are allocated to different populations. Bias can become embedded in the development of AI systems either through the data and/or the development and evaluation of algorithms. This can result in inaccurate predictions that can significantly impact people’s lives. Several WiDS talks describe how bias in machine learning can impact everything from online ads to search recommendations to bus routes.

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Applying data science to investment strategies with Leda Braga

10/14/2022

 
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​Leda Braga is founder and CEO of Systematica Investments, a hedge fund known for using data science-driven models to support its investment strategies. On the WiDS Podcast she explains how systematic investment management is data science applied to investment and how she believes it is the future of the financial industry.

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Uso de IA para la detección de fugas en tuberías de agua con Jessica Bohórquez

9/15/2022

 
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Jessica Bohórquez, investigadora de la Universidad de Adelaide en Australia y consultora de la industria, está utilizando IA y transitorios de presión para inspeccionar y monitorear tuberías de agua para detectar fugas. Ella habla sobre su doctorado, su trabajo en la industria y sus consejos para seguir una carrera en ciencia de datos.

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Using data science to study human behavior with Karolina Urbanska

8/11/2022

 
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​Dr. Karolina Urbanska, a data scientist working for Teach First in the UK, has spent her career using data science to better understand human behavior. On a new WiDS Podcast episode whe discusses her work as a data science and psychology researcher, her decision to leave academia, and her learnings along the way.

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Applying Data Science for Good

6/14/2022

 
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​The pandemic has changed the way that people think about their lives, and their work. A recent survey conducted by Gartner suggests that instead of using the term ‘great resignation’, organizations need to think about the ‘great reflection’, as employees are seeking more purpose in their work.

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Welcoming our new podcast co-host, Cindy Orozco

6/12/2022

 
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​WiDS Co-Founder Margot Gerritsen welcomes her new podcast co-host Cindy Orozco, as they interview each other on a new WiDS Podcast episode about their career paths to data science, coping with the imposter syndrome, and successfully juggling busy lives.

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How Data Science is Reshaping Financial Services

4/12/2022

 
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Financial services is an industry built on data and not surprisingly data science plays a pivotal role in helping financial firms assess risk, detect fraud, make profitable decisions, and improve the customer experience. The Women in Data Science (WiDS) Conference and podcast series shares the perspectives of leading experts on the vital role of data science in financial services.

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Advocating for indigenous data sovereignty with Tahu Kukutai

12/9/2021

 
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​Tahu Kukutai, a professor at the University of Waikato in New Zealand and a Māori woman, is leading data sovereignty initiatives that advocate for indigenous data ownership, guardianship, and governance. On a new WiDS Podcast episode Tahu delves into indigenous data sovereignty, as she walks us through her experiences and initiatives.

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Researching algorithmic fairness and causal inference in public health with Allison Koenecke

11/11/2021

 
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Allison Koenecke, currently a postdoc at Microsoft Research and soon to be assistant professor at Cornell, discusses her decision to pursue a career in academia focused on algorithmic fairness and causal inference in public health, on a recent WiDS Podcast episode.

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Building bridges between business and academia with Karina Edmonds

10/7/2021

 
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Karina Edmonds, Global Head of Academies and University Alliances at SAP, has spent her career building bridges between business and academia. On the WiDS Podcast she talks about her passion about promoting fairness in data science by bringing more young people, women, and underrepresented groups into the field.

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Dealing with Missing Data

9/15/2021

 
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We live in an era of big data with data sets that require computational analysis to gain insights and knowledge. The volume of big data has been increasing steadily, and will only continue to climb. Since we started the WiDS initiative in 2015, Statistica estimates that the volume of data has increased from 15.5 to 74 zetabytes, and they forecast that data volume will double again by 2024.
Yet with all of this data, one of the biggest challenges that data scientists and researchers face is dealing with missing data. In some cases, the missing data is due to not readily having access to the data sets that are required to perform the analysis, while other cases involve data sets that are incomplete and not uniformly populated.

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Applying data science for the public good in Lebanon with Fatima Abu Salem, American University of Beirut

9/9/2021

 
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​Fatima Abu Salem, a professor at the American University of Beirut, talks about how the conflict in the region has shaped her life journey and motivates her to apply data science for the public good to address challenges in Lebanon, on a recent WiDS Podcast episode.

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Responsible Data Science

8/18/2021

 
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Data science is being applied in a growing number of domains that affect everyone’s lives, in healthcare, financial services, agriculture, resource management, and beyond.  While data science has huge potential for good, there are also unintended consequences. Data scientists need to take steps  to mitigate as many unintended consequences as they can using Responsible Data Science — a set of policies, procedures, and best practices to ensure algorithmic fairness, transparency, and explainability. 

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Gaining skills and overcoming barriers to a career in data science with Louvere Walker-Hannon

8/12/2021

 
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Louvere Walker-Hannon, Application Engineering Team Leader at MathWorks, teacher and STEM Ambassador, talks about acquiring skills and overcoming barriers to work in data science on a recent WiDS Podcast episode.

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Data science in FinTech and financial services, Menglin Cao

7/15/2021

 
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Menglin Cao, Senior VP and Head of AI and NLP Model Development at Wells Fargo, discusses the central role of data science in fintech and financial services, and best practices for success on a recent WiDS Podcast episode.

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Covering AI and ethics washing in the tech industry with Karen Hao

6/10/2021

 
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Karen Hao, Senior Editor at MIT Technology Review, discusses her experiences covering the latest research and social impacts of AI, and ethics washing in the tech industry, on a recent WiDS Podcast episode.

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Women in Data Science at the Forefront of COVID Research

5/11/2021

 
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The Women in Data Science (WiDS) Conference and podcast series has been showcasing  leading women data science experts who are making an impact at the forefront of COVID research. Here are three talks from the conference and three podcasts:

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Aerobatic Pilot, Author and Data Scientist with Cecilia Aragon

5/6/2021

 
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Cecilia Aragon, a professor in the in the Department of Human Centered Design & Engineering at the University of Washington in Seattle, explains on a recent WiDS Podcast episode how overcoming her fears to become an aerobatic pilot propelled her forward in her career as a data scientist, professor, and author.

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Applying Statistics to Promote Fairness and Transparency with Kristian Lum

2/9/2021

 
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Kristian Lum, a statistician and research assistant professor at the University of Pennsylvania, describes how following her interests has led her on an everchanging career path across business, public service, and academia, on a recent episode of the WiDS Podcast.

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Using Human-Centric Data Science at Spotify with Lillian Carrasquillo

12/3/2020

 
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Lillian Carrasquillo, Insights Manager for Spotify’s Personalized Home team, explains how her team uses human-centric data science to create personalized and meaningful experiences for Spotify's customers on a recent WiDS Podcast episode.

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Join us for WiDS 2021

11/2/2020

 
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Today, the Women in Data Science (WiDS) initiative celebrates its birthday! Five years ago we hosted the inaugural WiDS Conference at Stanford University. Our goals were the same then as they are now: to inspire women to join the field, educate participants regardless of gender, and support women in the field. In addition to the 400+ participants at Stanford for our inaugural conference, we discovered that 6,000+ people participated online. That made us realize that we had an opportunity for greater impact, worldwide. ​

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Applying Data Assimilation Tools to COVID Forecasting Models with Femke Vossepoel

10/27/2020

 
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Femke Vossepoel, Professor in Geoscience and Engineering at Delft University of Technology in the Netherlands, explains how data assimilation tools can be used to improve COVID-19 forecasting models, on a recent episode of the WiDS Podcast.

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Using Data Science to Study Effects of Air Pollution on Severity of COVID-19 Cases

8/20/2020

 
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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.


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  • Home
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