In 2019, IDIES asked its staff and some of their IDIES faculty members to participate in strategic planning sessions as we looked forward to the next phase of IDIES. Outcomes of this work included a new mission and vision statement, and four strategic focus areas.
To enhance the JHU mission of “Knowledge for the world” by providing intellectual leadership in data driven science:
- Research and Education in adaptive disruptive technologies
- Technical and domain expert guidance via collaboration and consultation
- Open and sustainable long-term access to high-value datasets Vision Statement
IDIES will lead the translation of data science & technology to real world problems across the University.
Strategic Focus Area #1: Internal Operations
To streamline communications and project management, the IDIES management team has been reviewing our internal organization structure, workflow processes, and project and resource tracking tools. Over the past year, we’ve implemented a new communication and order processing workflow, and began expanding our use of Zenhub project management tools to all IDIES projects, including the implementation of putting memorandums of understanding (MOUs) in place for all new customer projects.
Strategic Focus Area #2: Marketing and Communications
In February, IDIES hired a new communications specialist who will work with our management team and educational outreach to create a unified marketing and communications strategy. This will include updating our website, enabling analytics, and improving current and creating new communications to encourage and increase engagement from our members.
Strategic Focus Area #3: Financial Stability
The IDIES management team is looking into diversifying its sources of funding to ensure stable support for IDIES staff and ensure continued expert support for our users. This will be a primary focus for 2020.
Strategic Focus Area #4: The Future of Data Science
A focus for 2020 will be expanding the involvement of industry partners and working with other data science community members to explore the future of data science and how IDIES can identify and develop innovative technologies and tools.