Projects
The ITTI Clinics

The International Technology Transfer Institute Patent Landscape Analysis Clinic (“ITTI Clinic”) provides instruction in professional skills related to the various responsibilities which patent lawyers will encounter when preparing patent landscape analysis search reports in the biotechnological fields. ITTI clinical projects predominantly focus on health and agricultural innovations relevant to the needs of developing countries, for example HIV vaccines and advanced innovations in crop biotechnology; in this context, projects operationally address intellectual property management as it relates to the global public interest. Students learn practical skills for effective participation in interdisciplinary teams working at the intersection of law and technology. In addition, students learn basic approaches to interviewing and counseling the organizations the ITTI serves, promoting the skill of preventative lawyering. Research results generated during the semester culminate in a graded work product that helps client organizations make informed decisions regarding intellectual property relating to biotechnology, including options and strategies for effective management, protection and/or licensing, in order to facilitate the mission, goals and objectives of these organizations. The ITTI Clinic size is limited to eight students. If necessary, selection will be based on statements of interest and resumes to assess research capability, writing skills, and breadth of patent law background. Students are often recruited, with faculty members referring prospective candidates. Early inquiries are strongly encouraged. The ITTI Clinic is a 4 credit course, with two class time credits and two clinical credits (comprising research, analysis and writing, under the supervision of Professors Jon Cavicchi and Dr. Stanley Kowalski). The class meets once per week. Students are required to attend every class.
The Public Intellectual Property Resource for Agriculture (PIPRA) Patent Landscape Educational Reports Series
Since 2006, ITTI has provided innovative patent landscape analyses for developing countries, in health and agricultural research projects. Representative projects include work
with the Public Intellectual Property Resource for Agriculture (PIPRA) to illustrate and clarify patent landscapes relevant to improved sweet potato cultivars for use in Africa and vaccine technologies to prevent HIV/AIDS. PIPRA supports agricultural innovation for both humanitarian and small-scale commercial purposes. They bring together intellectual property from over 40 universities, public agencies, and non-profit institutes and help make their technologies available to innovators around the world.
About ITTI Patent Landscape Analysis
ITTI individualizes its activities to meet the needs of its clients. ITTI provides patent landscape analysis and patent explorations for:
• public sector institutions
• universities
• funding organizations
• philanthropic foundations
• international development institutions
• non-governmental organizations (NGOs)
• government and other organizations seeking to encourage advances in health and agriculture for developing countries
ITTI has developed an innovative, iterative approach to patent landscape analysis and patent explorations that was specifically designed to address the difficulties of conducting such tasks in developing countries. ITTI works with its clients to tailor its analyses to a client’s needs. ITTI patent landscape superior search reports include the following:
• multi-platform database searches
• patent and non-patent literature searches
• broad and thorough searches
• global searches
• focus on public sector institutions
Patent landscape analyses can be used by clients:
• to assess the value of pursuing a particular project before
investing significant resources
• to assess where a product can be deployed
• to provide background information to support grant
applications
• as guidance for research and development strategic
planning efforts
• as a foundation for future freedom-to-operate analyses
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