SSME wiki archives – Skills


Business Management Skills:

Business Strategy and Design.

Evolution of smarter planet needs, thinking and technologies. Technologies include modeling, business optimization, COGNOS, SOA, Component Business Modeling, Supply Chain Optimization Toolkit, ILOG, Research project SNOW, Green Sigma.

Managing and operations for Setting Policy, Execution and Optimization in Realtime or with metered data

Learn role of sensoring and metering networks and how data can be collected, optimized, and used. Apply sensor and meter network technology to real world challenges such as water purification, transportation management, carbon management, demand management etc

Supply chain/logistics

Learn how business suppliers are linked and how goods and data get logically connected, integrated and managed.

Understanding and managing resource scarcity, reacting, solving with use of information and IT systems

Learn how to manage, conserve and optimize scarce resources by sensing, monitoring, reporting and reacting to analyzed data from multiple sources. Learn IT tools and techniques that facilitate and enable resource management. Technologies include: Integrating via sensor networking, mesh networks, WebSphere and Tivoli self-healing systems, Real World Aware

Optimization, roles of technologist and technology – overview of what can be done and what future looks like

Learn the roles of IT in, sensing, monitoring, analyzing, and optimizing scarce resources. Learn how to manage and retain top talent and how these people resources can be optimized for best overall results.

Overview of what is in Technical Curriculum

Learn business applications of Instrumented Planet technologies and techniques; how, when, and why they should be applied and how to determine value and ROI.

Automated decision making; need people to be accountable

Learn how to set thresholds, alerts and visualization software to enable best outcome. Explore risks and human accountability when decision management is automated. Technologies include Tivoli, WebSphere.

Behavioral change management

Learn various legal, financial, and emotional techniques for bringing about behavior change in making the planet smarter and more sustainable.

Societal implications – Explore ethical and societal implications of an instrumented planet and determine innovative ways to overcome obstacles.

Policy and Regulations – understanding of current government policies affecting implementation of instrumented planet technologies, how government regulations are set, different organizations’ responsibilities (ie EPA vs. DOI vs. BLM, etc), Federal vs. State or country to country differences, emerging policies or regulations that could be game changers, positioning organizations to respond effectively, and any opportunities or innovative methods to lead the visioning to impact new regulations.


Technical skills:

Role of sensing, and sensor technologies

Understand current and forthcoming sensor technologies, various types of sensors, their roles, and where and when sensors can be used.

Sensor networking technologies and future developments

Learn role of sensor networks and how sensor data (camera, meters, GPS, etc.) can be collected, optimized, and used. Apply sensor network technology to real world challenges such as water purification, transportation management, carbon management, etc. Understand security, network management issues.

Novel power sources

Explore new or underused power sources and energy harvesting devices; learn how to combine alternative power sources to optimize energy efficiency and reduce carbon emissions. Examples of novel power sources include generating energy from traffic vibrations, kenectic energy in a tree via wind, generate energy between probes, thermohaline power, etc.

Architecture design and core technologies

Understand real world aware systems. Learn to design and architect sensing, monitoring, reporting, and data analytics technologies to improve the planet. Apply monitoring, measuring, and improvement to real world challenges such as energy, carbon, water, transportation, health, financial markets, etc.. Explore similarities and differences in technologies needed for different problems. Understand where real time data is and is not required. Technologies include Rational, Tivoli, WebSphere, systems of systems, many others.

Data management and integration

Learn how to collect and manage data from different sources, integrate and analyze the data, and apply knowledge to solving climate and industry problems. Design data schema to combine and compare data from various sources. Understand and learn how to use technologies for streaming data and streaming modeling; understand standards availability and issues. Technologies include Infosphere Streams/SPADE (new), Mario (collecting, process, and run models in realtime). SPADE is a modeling language. Key skills in water, energy include data cleansing and parsing tools, data integration, realtime modeling, Rational, OSI, DB2 family, standards.

Modeling techniques – theory and practice

Learn theory behind modeling techniques and learn how to use data modeling and business process modeling, and application development modeling to test, plan and predict future outcomes. Understand the types of models available in specific areas and the issues around integrating them. Example, model the flow of rivers, power sources, etc.

Complex Data Analytics

Technologies include COGNOS, ILOG, APCS IBM Research

Model creation, management and integration

Learn how to create models and use them in managing and integrating data gained from sensors, system management alerts, crowd sourcing, and other sources.

Specific optimization techniques

Learn optimization methodologies, algorithms, and processes to improve outcomes or to manage business processes. Learn the application of lean six sigma techniques such as statistical process controls to environmental management

Specific simulation techniques

Learn simulation processes, tools and techniques to test and predict future outcomes.

Virtual data from modeling – inference, extrapolation, down-scaling, etc

Learn how to predict future outcomes and/or prevent future outcomes based on knowledge from modeling, extrapolation, and scaling up/down. Technologies include COGNOS, ILOG.

Visualization techniques – theory and practice

Learn visualization theory and practice and learn technologies and tools that can be used to present data in ways that are easy for humans to quickly comprehend and be able to take action. Learn the limitations of different techniques and technologies. Technologies include COGNOS, ILOG.

ROI and appraisal techniques

Learn and explore ways to validate results vs. expense of sensing, monitoring, and reporting technologies.

Future areas of application of instrumented planet skills:

Apply theory, techniques, and knowledge gained from above skills to areas other than those discussed: energy, water, transportation, healthcare, financial systems.