ALMA 2012 CONFERENCE ROUNDTABLE SUMMARIES Specialists vs. Generalist – What is the Right Mix? summarized by Scott Hanton, Intertek The roundtable focused on the question of developing specialists vs generalists. Here are some of the key points from the discussion: The business model of the lab greatly impacts the need for specialists and generalists o Labs focused on problem-solving and methods development require more specialists These specialists provide the diversity and expertise needed to deliver this new science o Labs focused on QA, QC, and standard methods require more generalists These generalists provide the coverage required for efficient delivery of these methods o These kinds of labs are likely to be staffed with a great majority of one or the other o It is vital for the lab manager to fully understand the business model and the impact on the kind of staff to develop o While these labs may have a preponderance of one type of scientist, it is important to recognize the value of having a few of the opposite type Having a specialist available can provide troubleshooting and problem-solving that can be very valuable to the lab Having a generalist available provides flexibility and helps the lab operate more efficiently Motivating employees is a key part of developing specialists and generalists o Motivation is relatively straight-forward if the type of scientist is consistent with the focus of the lab o It is much more difficult to find the motivation to help develop scientists with the skill opposite the lab’s primary focus o Using creative rewards and recognition (different than money) to address motivation can encourage people to follow these paths Tips for other managers o Look for staff that are naturally inclined to develop as specialists or generalists o Use creative rewards to help motivate staff to follow new paths o As the manager, ensure you can articulate the value of every position in the lab o Understanding each individual’s motivation at work is the lab manager’s responsibility and a great tool for driving change and improving lab performance o Recognize that dedicated specialists are often motivated by that scientific depth and may be unlikely, or even, unable to change o Recognize that dedicated generalists are often motivated by change and diversity and may be unlikely, or even unable to change What Would Steve Jobs, John Wooden and Walt Disney Do If They Were Lab Managers summarized by John Sadowski, ALMA The roundtable discussed the styles of highly successful, famous leaders and then identified the best traits of each. Steve Jobs - Unconventional - Visionary, anticipated customer needs before they did - Created excitement, team ownership - Created Value - Poor people skills, dismissive, belittled staff - Recognized what talent he needed - Pushed outside of the box thinking, out of their comfort zone - Innovative - Uncompromising, tenacious, demanded excellence - Provided clear expectations - Dictator - Micromanaged - Impulsive John Wooden - Teacher of life skills - People focus - Attracted talented people and recognized talent - Galvanized talent into a winning team - Beloved leader - Inspiring - Recognized the needs of individuals and customized his message to maximize their growth - Humble - Excellent communicator Walt Disney - Dictator, micromanager - Visionary - Created a happy environment - Sought perfection - Created engagement - Motivated people to do the impossible - Treated customers as guests - Created pride in the organization Colin Powell - Great communicator - Recognized that leaders must earn respect - Commanded respect - Strategic leader - Humble Jack Welch - Energetic - Uncompromising - Strong business results focus - Six Sigma driven - Analytical - Promoted leadership training The Best of the Best - Traits that we can emulate as laboratory managers - Have a vision and share it - Be a great communicator - Earn respect and be humble - Recognize the talent you need and go get it - Galvanize the talent into a high performance team - Engage people and create pride in the organization and its purpose - Recognize people as individuals and customize your message and approach to maximize their growth - Provide clear expectations - Motivate people to go beyond what they think they can do - Have a strong business and customer focus - Be results oriented Leading in a Flatter Organization Summarized by Lynne Garone, EInk Definition of Flat organization – less layers of management; group oriented; f(size and culture of an organization dictates how many layers of mgmt to claim it is a flat organization) Positives/requirements for Manager in a flatter organization Develop more soft skills Better communications needed – walk about Quicker Decisions Increased visibility Engaging employees more Less costl More efficient Empowered to make decisions Move quicker Suggestion was made to use a contract with employees and set out expectations Negatives for managers in a flatter organizaiton Too much work for the manager Less time for under performers Generation gaps more difficult to motivate; don’t see path for growth More multi-tasking No time to grow business Fighting fires all the time No time for strategy No time to mentor Disservice to high performers Flatter organization positives for employees Self –motivated Develop good communication skills Flatter organization negatives for employees More confusion Growth potential is harder No time to be mentored Benefits for Hierachal Organization Easier for a quality organization because more levels needed for qualification Discussion re: need to provide a technical ladder for employees in a flat organization (good reference is the Radford Index- job descriptions as a function of level) How to Manage Data Productively summarized by Richard Durand, Sun Chemical This roundtable focused on two aspects: 1. Effective Systems for Data Management 2. Managing Data Appropriate for Customers The following points were discussed over the course of the sessions: A. LIMS - Most participants felt LIMS were important to their operations - Many are not happy with the flexibility of LIMS systems they have -General sentiment was that whatever the system chosen, they tend to fall short of expectations -Concern on whether some vendors understand what really needed in our environments -There was some discussion on the possibility that ELNs and data management tools could be implemented and replace LIMS systems B. Data Warehousing -Several participants noted that large data sets are often generated and manipulate such that data warehousing was important -The desire is to provide for warehouses in which direct customer interfaces are available -A discussion of Cloud Computing suggested that there is not much participation and/or clarity of concept. Security is still considered an issue. -Data warehousing is a topic not fully clear to all labs (possible future discussion?) C. Data to Knowledge Conversion -Discussion of data management versus information processing suitable for the customer -In today’s collaborative environment, data is spread over several analysts and collective responses need to be managed in some way to insure customer takeaways are clear -Different delivery formats need to be considered. Formal reports don’t always fit the need or response time. -Faster pace of data collection leads to bottlenecks for more complex processing issues -Audience did not have much experience with automated software processing schemes which interface with data generate on a variety of different instruments from various vendors.