Through the work of the Integrative Data Science Lab (IDSL), we are pioneering new ways to rapidly improve disease treatment and drug discovery using integrative knowledge graphs and advanced machine learning approaches to profile and predict the biological effects of potential new drugs.
Data Science for Disasters & Crises
The world is already facing the impacts of climate change through increased severity and frequency of natural-event caused disasters. Through our Crisis Technologies Innovation Lab, we are researching ways that data science can help scale and improve the preparation for, mitigation of, response to and recovery from disasters.
Emergency Technologies & Digital Resilience
In the Crisis Technologies Innovation Lab, we are researching the design and use of technology in a way that promotes Digitial Resilience, that is private, secure, robust and reliable even in adverse or threatening environments. This brings together maker culture, data science, cybersecurity, privacy and human computer interaction research.
Resilience, privacy and the global cloud
The critical question for data science to answer in the next 10 years
Data science could help Californians battle future wildfires
INFO I426/I516 Informatics in disasters and emergency response
DSCI D590 Data Science in Practice
DS590 Data Science in Practice is a graduate course designed to help students gain critical, practical skills in applying data science to real world problems. Students will work in teams of 3-5 to tackle a real-world problem defined by a project sponsor. Project sponsors can be academics or industry practitioners. Students work with the project sponsor to understand the problem domain, identify where their data science skills can be applied, and to design, implement and test a solution.
Digital Resilience
Data Science in Disasters and Emergency Response
How knowledge graphs will transform drug discovery
What if we could bring all the knowledge, data, insight, and prior decision-making of drug discovery together and use it to accelerate the discovery of new drugs? What if we could encode the millions of known relationships between potential new (or old) drugs, protein targets, genomics, biological processes, and disease mechanisms, and then use all this together to get new insights into disease and treatments?
The dismal state of disaster preparedness in the US and how data science can help
An EOC in your pocket: turning your phone into a state of the art Emergency Operations Center
There are now a plethora of apps and services that mean that if you do have internet service, you can to an amazing degree replicate the functions of an Emergency Operations Center (EOC) on the smartphone in your pocket. In this article we will describe a set of apps that will enable you to achieve the primary functions of the EOC: meeting & sharing space, phone and radio communications, situational awareness, and access to plans, documents and maps.
Assessing Drug Target Association Using Semantic Linked Data
Chem2Bio2RDF: a semantic framework for linking and data mining chemogenomic and systems chemical biology data
We have created a single repository called Chem2Bio2RDF by aggregating data from multiple chemogenomics repositories that is cross-linked into Bio2RDF and LODD. We have also created a linked-path generation tool to facilitate SPARQL query generation, and have created extended SPARQL functions to address specific chemical/biological search needs. We demonstrate the utility of Chem2Bio2RDF in investigating polypharmacology, identification of potential multiple pathway inhibitors, and the association of pathways with adverse drug reactions.
Transforming Pharmaceutical and Healthcare Companies into Data Companies
INFO I590 Data and Society
Info I590 Data and Society is a graduate course that introduces technically-trained students to the social, political, and ethical aspects of data science work. It is designed to create reflective practitioners who are able to think critically about how collecting, aggregating, and analyzing data are social processes, and processes that affect people.
INFO I571 Introducing Cheminformatics
Introducing Cheminformatics eBook
Introducing Cheminformatics: an intensive self-study guide is a complete self-study guide designed to give you a rapid introduction to the emerging field of cheminformatics,