Harvesting and making sense of mobile and wearables data: Challenges and opportunities

Cecilia Mascolo (Turing Fellow and University of Cambridge, UK)

Cecilia Mascolo is a mother of a teenage daughter. She is also Full Professor of Mobile Systems in the Computer Laboratory, University of Cambridge, UK, a Fellow of Jesus College Cambridge and a Fellow at the Alan Turing Institute for Data Science in London. Prior joining Cambridge in 2008, she was a faculty member in the Department of Computer Science at University College London. She holds a PhD from the University of Bologna. Her research interests are in human mobility modelling, mobile and sensor systems and networking and spatio-temporal data analysis.

She has published in a number of top tier conferences and journals in the area and her investigator experience spans projects funded by Research Councils and industry. She has received numerous best paper awards and in 2016 was listed in “10 Women in Networking /Communications You Should Know”. She sits on the editorial boards of IEEE Pervasive Computing, IEEE Transactions on Mobile Computing, ACM Transactions on Sensor Networks and ACM Transactions on Interactive, Mobile, Wearable and Ubiquitous Technologies.

Talk title:

Harvesting and Making Sense of Mobile and Wearables Data: Challenges and Opportunities

Abstract:

Theoretically, the advent of powerful and inexpensive sensing and wearable technology has enabled
the gathering of very fine grained data about human behaviour at large scale and long periods.
However, both data scientists and application developer are facing huge challenges related with both harvesting data efficiently while preserving user privacy and making sense of such noisy data.

In this talk I will illustrate the challenges and opportunities of this research with respect to a) the efficient and privacy preserving data collection by bringing the logic and learning on device and close to the user and b) the making sense of such data for a variety of applications including mobile health and urban computing.

The Stanford Women in Data Science conference (WiDS) is a one day global conference that will bring data scientists together to share cutting edge research. The conference aim is to inspire and encourage data scientists worldwide and exclusively support women in the field.

We will proudly host WiDS at The Alan Turing Institute. The conference will feature eminent female speakers through technical talks and a panel discussion.

The conference programme and speaker information will be soon available through the conference website.

The event will provide great opportunities to connect with potential mentors, collaborators and peers; hear about recent advancements in data science and explore new research dimensions.

We welcome all regardless of gender to join us on Friday 6 April 2018 for an excellent learning experience.

In partnership with:

G-Research is a leading quantitative research and technology company. We use the latest machine learning modelling techniques, robust statistical analysis and pattern recognition to analyse thousands of asset price time series, extracting deep insights from truly massive datasets.

More information can be found at: www.gresearch.co.uk

Microsoft is the leading platform and productivity company for the mobile-first, cloud-first world. At Microsoft, our goal is to attract and retain the best and brightest talent to help us achieve our mission to empower every person and every organisation on the planet to achieve more. The message for our people, our greatest asset, is simple: come as you are and do what you love.

More information can be found at: http://microsoft.com/research