Hasil untuk "Law"

M. Hill, Michael R. Marty

T. Tyler

Patricia Ewick, S. Silbey

Ieee TAKAYASU SAKURAI MEMBER, Ieee A. RICHARD NEWTON FELLOW

J. Rawls

D. Calzetti, A. Kinney, T. Storchi-Bergmann

Barry R. Weingast

N. Kim, T. Austin, D. Blaauw et al.

S. Whitaker

R. Schaller

J. Gustafson

David Weisburd

J. Fuhrmann

O. Holmes, Tim Griffin

A. Savelyev

Binch Mendelsohn

cacy role, with the vendor then typically turning to its regulatory counsel to evaluate the suitors. Bidders in a well run auction will be judged in part on their regulatory (Competition Act, Investment Canada Act, etc.) risk profile and the steps they are prepared to take to manage it. Thus, while the foregoing items are all negotiable, bidders have a strong incentive to minimize derogations from such vendor proposals. The auction process also may move bidders’ counsel into a bid-advo

Wayne Sandholtz, C. Whytock

Artur Pericles L. Monteiro

This article argues that security is not enough to fully capture what is at stake in government exceptional access to encrypted data. A conception of privacy as security has little to say about ``lawful-surveillance protocols'' -- an active research agenda in cryptography that aims to enable government exceptional access without compromising systemic security. But the limitations are not contingent on the success of this agenda. The normative landscape today cannot be explained if security is all there is to privacy. And fundamental objections to Apple's abandoned client-side scanning system gesture beyond security. This article's contribution is modest: to show that there must be more to privacy than the security mold it has taken. A richer understanding is needed both to assess policy and to guide research on lawful-surveillance protocols.

A. Zhu, Guonian Lü, Jing Liu et al.

ABSTRACT Current methods of spatial prediction are based on either the First Law of Geography or the statistical principle or the combination of these two. The Second Law of Geography contributes to the revision of these methods so they are adaptive to local conditions but at the cost of increasing demand for samples. This paper presents a new thinking about spatial prediction based on the Third Law of Geography which focuses on the similarity of geographic configuration of locations. Under the Third Law of Geography, spatial prediction can be made on the basis of the similarity of geographic configurations between a sample and a prediction point. This allows the representativeness of a single sample to be used in prediction. A case study in predicting spatial variation of soil organic matter content was used to compare the spatial prediction based the Third Law of Geography with those based on the First Law and the statistical principle. It is concluded that spatial prediction based on the Third Law of Geography does not require samples to be over certain size nor to be of a particular spatial distribution to achieve a high quality prediction. The prediction uncertainty associated with spatial prediction based on the Third Law of Geography is more indicative to quality of the prediction, thus more effective in allocating error reduction efforts. These properties make spatial prediction based on the Third Law of Geography more suitable for prediction over large and complex geographic areas.