Distinguishing Characteristics of Robotic Writing

Advances in robotic handwriting technology create new challenges for forensic document examiners. In the past, devices such as the autopen were used to replicate signatures of government officials and corporate companies. In today's technology, companies such as Bond utilize robots to create written documents, which mimic natural patterns of handwriting. They generate customizable written samples by simulating pen movements and letter formations. Four forensic document examiners were given various reproduced questioned documents and utilized a modified ACE‐V (analysis, comparison, evaluation, verification) methodology to determine their genuineness. Examiners were able to make a distinction between the human writing samples and the skilled robotic equivalents. Several distinct features that are not seen in natural handwriting, such as even pen pressure and the superimposition of letterforms were observed in the robotic samples. Careful examination of identifying features of the Bond produced documents resulted in an opinion of nongenuineness.     

Developing and Testing a Soil Property Database for Forensic Applications in Southern California

The research sought to develop and test a forensic database of surface soil variability within previously mapped geologic and soil units in southern California. This type of database could be used to link suspects to crime scenes or determine source locations of soil sample evidence. Variability was evaluated using (i) color, (ii) magnetic susceptibility, and (iii) particle‐size distribution. Soil properties were analyzed for their ability to discriminate source areas using stepwise discriminant analysis. The percent correct predictions for geologic unit groups ranged from 30% to 100%. A blind study experiment matched four of the 18 samples to their unit of origin with the first choice by stepwise discriminant analysis, and eight were matched as second and third choices. The probability of selecting the appropriate unit of origin increased by 54% over random chance and eliminated as much as 99% of the field area as a potential search location.     

Copyright Givers and Takers: Mutuality,Altruism and Instrumentalism in Open Licensing

Over the past three decades, open licensing has evolved from hacker culture thought experiment to a transformative force in applied copyright across a range of industries. Yet very little empirical research exists to understand its disparate uses. This article examines social practices and attitudes about open licensing in order to examine the practical experience of creators and consumers who use this tool and in order to assess its value in moderating the negative consequences of extensive copyright. The discussion about the role of open licensing in creative industries and communities tends to be polarized into two vantage points. Either (1) it is a new, altruistic paradigm enabling creative communities to rework copyright to fit their vision for the cultural commons, or (2) it is a radical theft of creative labor, encouraged by Google and other digital industrial powerhouses, to cheat creators out of their share of profits. Both of these rhetorical vantage points presume a monolithic and largely either selfless or unaware base of creative laborers. We analyze data from a series of surveys across a range of creative fields and practices to show that creators employ open licensing for a variety of reasons, including instrumental purposes oriented toward skirting the many impediments created by institutions and law, rather than merely because they are unaware or selfless.