In recent years, data output among research institutions has expanded exponentially. And while virtually all institutions have patent policies in place covering ownership and handling of patentable inventions, data policies are still very mixed and sometimes completely absent. As more and more institutions monetize their data, the importance of a well-considered institutional data policy has become critical.
That’s why Tech Transfer Central’s Distance Learning Division has teamed up with two attorneys from Amster, Rothstein and Ebenstein, LLP, along with data licensing experts from both MIT and Duke University, to bring you this critical presentation:
Register today to learn how to examine your existing IP policies for all types of data coverage, identify gaps that need reinforcing, and gain a solid understanding of the controlling federal regulations as well as potential liabilities. Our world-class panel will also cover licensing and royalty distribution issues, along with risks and best practices related to data storage, retention, and access.
Here’s a quick look at the agenda:
- Understanding the licensing potential for clinical data sets in a variety of technology arenas including:
- Life Sciences
- Artificial Intelligence and Big Data
- Relational Databases
- Data ownership issues
- Identifying gaps in IP policy data coverage
- Data storage, retention and access considerations
- How to get data producers to apprise the TTO of the data
- How data can be monetized
- Licensing considerations
- Distribution of income received from monetized data
Meet your presenters:
Charles R. Macedo is a Partner with the intellectual property law firm Amster, Rothstein and Ebenstein, LLP of New York. Mr. Macedo advises and litigates in all areas of intellectual property law, including patent, trademark and copyright law, with a special emphasis in complex litigation and computer implemented inventions. He also assists clients in obtaining, maintaining and enforcing patent and trademark portfolios. Mr. Macedo is the author of The Corporate Insider’s Guide to U.S. Patent Practice, originally published by Oxford University Press, and received the prestigious AIPLA Robert C. Watson Award for his analysis of the First to File System vs. First to Invent System.
Brian J. Amos, PhD, is a former research neuroscientist who represents academic and research institutions in the preparation and prosecution of patent applications worldwide, predominantly in the fields of biotechnology, medical therapeutics and pharmaceuticals. He works closely with scientists and Technology Transfer Offices to identify and inventory new patentable technologies; protect discoveries through patents; and commercialize intellectual property through licensing and development arrangements with other business entities.
Dinesh Divakaran, PhD, MBA serves as Director of Digital Innovations with Duke’s Office of Licensing & Ventures (OLV). In this role, he leads the commercialization of digital, high tech and emerging tech innovations (software/IT, data, content and creative works) from R&D, QI/QA, and innovation activities across Duke Health and Duke University through technology licenses, innovative ventures, strategic alliances, and tactical collaborations. He also directly manages a portfolio of technologies including AI/ML/IoT, digital health, SaMD, health IT, clinical informatics, imaging, diagnostics, pathology, telemedicine, bioinformatics, genomics, data analytics, computer science, high tech, ed-tech, fin-tech, supply chain, and logistics.
Dr. Divakaran brings to Duke OLV broad expertise in translating and commercializing digital and high tech innovations across domains, sectors, industries, and fields. His experience includes evaluating technologies, exercising due diligence, strategizing IP assets, advancing innovation, raising gap funding, mapping commercialization pathways, developing business models, building alliances/collaborations, facilitating translation, negotiating licensing deals, mentoring entrepreneurs and catalyzing startups. Outside of his work at Duke, Dr. Divakaran regularly serves as a reviewer/panelist with the Small Business Innovation Research and Technology Transfer (SBIR/STTR) grant programs at NIH and NSF.
Daniel Dardani, CLP, is a Technology Licensing Officerin the MIT Technology Licensing Office – one of the country’s leading TTOs. Daniel has over 17 years of experience at MIT managing a large and sophisticated portfolio of technologies including: computer and information technology, patented algorithms, copyrighted software, digital imaging, video games, machine learning/AI, and cyber security technologies. Daniel has negotiated license agreements with many businesses from start-ups to Fortune 500 companies. He counsels inventors and entrepreneurs on how to protect and leverage university-born innovations into commercialization opportunities.
