We have kick-started a wealth of exciting research projects undertaken with industrial and academic partners.
One of the major successes of Integrative Think Tanks is that the ideas generated are truly collaborative and ownership is shared between all the researchers involved. This means that each ITT continues to deliver long after the event has taken place.
"For a small company like ours, this research is vital in delivering our vision to create digital technologies that change what’s possible for clinicians and patients."
“We have a great track record of successful collaboration with SAMBa, as we share a common aim – applying the latest thinking in mathematics and statistics to solve real-world problems."
"We found participating in the ITT to be an unique and engaging environment for exchanging ideas and it was also good fun. Above all it produced some truly innovative thinking."
"The students at SAMBa were engaging and motivated, above all interested in solving real world problems with their skills. As a result of SAMBa we have taken huge strides forward in a new technique in the assessment of arthritis related to psoriasis and the effect of treatment.
"The collaboration between SAMBa, UNAM and CIMAT has strengthened us in tools and techniques to visualize new perspectives of development and collaboration with a focus on generating value for other institutions."
There were a couple of ongoing personal research collaborations with Novartis in the Department of Mathematical Sciences that were brought together to develop a set of challenges for Novartis’s participation in ITT12. These consisted of questions exploring modelling and data integration in pharmacokinetics models, and finding effective routes to drug development for liver disease.
"Working with SAMBa students to relay how our industry understands the daily challenges in aerospace design and manufacture and for them to translate them into statistical/mathematical models and methods was a refreshing and rewarding concept."
"We are working with SAMBa to develop new tools for managing risk by combining deterministic and probabilistic methods."
