In collaborative research settings, academic researchers rely on both public and personal information, supplementing the study of technical literature with personal conversations and messages with other researchers, as well as individual notes. Although handwriting is still essential for much research-related “thinking,” understanding and problem solving activities in science and engineering, handwriting analysis is still an open problem when dealing with unconstrained environments and large lexicons. Hence, records of research design work which can prove to be very valuable for teaching and for future research are getting lost.