A recent discussion with colleagues on intriguing approaches and paths to innovation triggered my systems thinking habits – to explore and understand challenges systemically. What I ended up discovering were multiple dimensions of innovation, particularly for collaborative innovation.
Delve into the history and meaning of risk, and you may be surprised to find that the word risk has an uncertain etymology. Depending on the domain, definitions of risk may be based on probability, danger, uncertainty, or chance.
Andy Chapman’s recent lecture, “Advanced Manufacturing: Enabling Warfighter Innovation at the Tactical Edge,” tells the story of how his team worked with the Marine Corps to develop advanced manufacturing capabilities as part of a project to adopt Small Unmanned Aerial Systems (sUAS) into Marine operations. The MITRE team’s problem-solving approach with sUAS shows that by closely examining the context of the initial goal to identify the root of the problem, it is possible to realize a more complete scope of logistical, economic, and ethical results.
Dr. Philip Barry is the Technical Director for Modeling, Simulation, Experiments, & Analysis here at MITRE. When he’s not leading simulations work, he is teaching Risk Management at George Mason. Ever focused on bringing new tools and methodologies into the classroom, Dr. Barry partnered with George Mason and Joe Garner and Ali Zaidi from MITRE’s Generation AI Nexus (Gen AI) team, to create a first-of-its-kind lesson blending risk management with artificial intelligence (AI).
Ali Zaidi is a MITRE data scientist tackling an interesting challenge for MITRE as part of his work for Generation AI Nexus. As the fields of machine learning and data science have grown, the need for machine learning education has become a necessity of many fields few would associate with computer science.
Have you experienced a slow sinking sensation when it comes to keeping your IT systems current, operational, and relevant? Do you feel that you are being asked to do more and more with less and less?
Welcome to the first installment of the Knowledge-Driven Podcast. In this new series, Software Systems Engineer Cameron Boozarjomehri interviews technical leaders at MITRE who have made knowledge sharing and collaboration an integral part of their practice.
How much fun are you going to have with Howard Gershen’s second post on counting and reasoning? Innumerable amounts. Don’t expect any new rules of thumb, but he does offer some insights where it really counts.—Editor
I was recently reminded of a quote by John Adams: “Facts are stubborn things; and whatever may be our wishes, our inclinations, or the dictates of our passions, they cannot alter the state of facts and evidence”.
Collaboration systems are traditionally all about enabling users to share information. Usability is paramount: the easier it is for users to share within a tool, the more powerful and successful the tool is considered to be. Somewhat the opposite applies to security systems, as they are often considered most successful when parties are prevented from sharing something. Yet these two considerations, seemingly at odds with each other, are both essential to functioning systems in the real world.