we engage the private sector and academia, as needed. we bring in as many people as we can because we recognize it's going to be an all of the above type of activity to answer these priority areas that the veterans administration has defined. >> so, i mean, actually, that's a perfect marriage, if you will, in that we have that ability and we're able to do that, and thereby, do away with this stigma, do away with the nonability to not work with outside groups and make this as seamless as possible. i'm still going to come back to you for one more. these research partnerships have the potential to accelerate scientific breakthrough in health care delivery systems and bio sciences. should the department replicate this model in other fields of research, and what steps can we as congress take to facilitate that? >> so, i think the answer is yes in terms of replication. our focal point right now has been on the veterans health data and on the precision medicine data set because of its unique complexities, because it comes with annotations, with

we engage the private sector and academia as needed. we recognize it's going to be an all of the above type activity to answer these areas. >> that's a perfect marriage, if you will, we're able to do that. there by, do away with the stigma, the nonability to work with nonoutside groups and to make this as seamless as possible. still going to come back for one more. these research partnerships have the potential to accelerate scientific breakthroughs and health care delivery systems and bio sciences. should the department replicate this model in other field of research and what steps can we take to facilitate that? >> i think the answer is yes in terms of replication. our focal point now has been on the veterans health data and on the precision medicine data set because of its unique complexities. it comes with annotations with handwritten notes, with data streams and imagery and the collections of multi modal data that talks to a situation in unique ways that is going to test how we develop predictive technologies, artificially intellig

committee that encompasses diverse representation from law enforcement, civil rights organizations, and academia. have posted a series of meetings to hear perspectives from hate crime survivors, academic experts, advocacy leaders and law enforcement officials on best practices to combat hate. the end product will be a summary report outlining the action items detailing the discussions on the advisory group and will be released between the summer and early fall of 2018. it is a very competent of documents that we will clearly make available to this committee. today i would like to focus on challenges law-enforcement faces when it comes to hate crimes. as you have heard from the last two presenters, over the years, one of the greatest barriers to confront the overcoming hate violence has been the lack of statistical data on the occurrence and nature of these crimes. participation of the reporting system, which like the rest of the ucr is voluntary. while participation has increased over the year, but dissipation levels are seriously lacking. we know that figures -- the figures, as reported to the