Home > Research > Publications & Outputs > Uncertainty and transparency

Electronic data

View graph of relations

Uncertainty and transparency: augmenting modelling and prediction for crisis response

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

Uncertainty and transparency: augmenting modelling and prediction for crisis response. / Perng, Sung-Yueh; Buscher, Monika.
The 12th International Conference on Information Systems for Crisis Response and Management. ed. / Leysia Palen; Monika Buscher; Tina Comes; Amanda Hughes. ISCRAM, 2015.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Perng, S-Y & Buscher, M 2015, Uncertainty and transparency: augmenting modelling and prediction for crisis response. in L Palen, M Buscher, T Comes & A Hughes (eds), The 12th International Conference on Information Systems for Crisis Response and Management. ISCRAM, ISCRAM 2015, Kristiansand, Norway, 24/05/15.

APA

Perng, S-Y., & Buscher, M. (2015). Uncertainty and transparency: augmenting modelling and prediction for crisis response. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), The 12th International Conference on Information Systems for Crisis Response and Management ISCRAM.

Vancouver

Perng S-Y, Buscher M. Uncertainty and transparency: augmenting modelling and prediction for crisis response. In Palen L, Buscher M, Comes T, Hughes A, editors, The 12th International Conference on Information Systems for Crisis Response and Management. ISCRAM. 2015

Author

Perng, Sung-Yueh ; Buscher, Monika. / Uncertainty and transparency : augmenting modelling and prediction for crisis response. The 12th International Conference on Information Systems for Crisis Response and Management. editor / Leysia Palen ; Monika Buscher ; Tina Comes ; Amanda Hughes. ISCRAM, 2015.

Bibtex

@inproceedings{e388c853c79b49f087951f2525d4f8e7,
title = "Uncertainty and transparency: augmenting modelling and prediction for crisis response",
abstract = "Emergencies are characterised by uncertainty. This motivates the design ofinformation systems that model and predict complex natural, material or humanprocesses to support understanding and reduce uncertainty through prediction.The correspondence between system models and reality, however, is alsogoverned by uncertainties, and designers have developed methods to render {\textquoteleft}theworld{\textquoteright} transparent in ways that can inform, fine-tune and validate models.Additionally, people experience uncertainties in their use of simulation andprediction systems. This is a major obstacle to effective utilisation. We discussethically and socially motivated demands for transparency.",
author = "Sung-Yueh Perng and Monika Buscher",
year = "2015",
language = "English",
editor = "Leysia Palen and Monika Buscher and Tina Comes and Amanda Hughes",
booktitle = "The 12th International Conference on Information Systems for Crisis Response and Management",
publisher = "ISCRAM",
note = "ISCRAM 2015 ; Conference date: 24-05-2015 Through 27-05-2015",

}

RIS

TY - GEN

T1 - Uncertainty and transparency

T2 - ISCRAM 2015

AU - Perng, Sung-Yueh

AU - Buscher, Monika

PY - 2015

Y1 - 2015

N2 - Emergencies are characterised by uncertainty. This motivates the design ofinformation systems that model and predict complex natural, material or humanprocesses to support understanding and reduce uncertainty through prediction.The correspondence between system models and reality, however, is alsogoverned by uncertainties, and designers have developed methods to render ‘theworld’ transparent in ways that can inform, fine-tune and validate models.Additionally, people experience uncertainties in their use of simulation andprediction systems. This is a major obstacle to effective utilisation. We discussethically and socially motivated demands for transparency.

AB - Emergencies are characterised by uncertainty. This motivates the design ofinformation systems that model and predict complex natural, material or humanprocesses to support understanding and reduce uncertainty through prediction.The correspondence between system models and reality, however, is alsogoverned by uncertainties, and designers have developed methods to render ‘theworld’ transparent in ways that can inform, fine-tune and validate models.Additionally, people experience uncertainties in their use of simulation andprediction systems. This is a major obstacle to effective utilisation. We discussethically and socially motivated demands for transparency.

M3 - Conference contribution/Paper

BT - The 12th International Conference on Information Systems for Crisis Response and Management

A2 - Palen, Leysia

A2 - Buscher, Monika

A2 - Comes, Tina

A2 - Hughes, Amanda

PB - ISCRAM

Y2 - 24 May 2015 through 27 May 2015

ER -