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Aaron Schram

dblp:07/9656 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1Databases, data management, data science and information retrieval · 1Human-computer interaction and ubiquitous computing · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational social science and digital humanities › social computing
crisis informatics
0.112011
Design and implementation of a data analytics infrastructure in support of crisis informatics research · ICSE 2011
Computational social science and digital humanities
social media analysis
0.112011
Design and implementation of a data analytics infrastructure in support of crisis informatics research · ICSE 2011
YearPublicationVenuePosition
2011 Design and implementation of a data analytics infrastructure in support of crisis informatics research
abstract
Crisis informatics is an emerging research area that studies how information and communication technology (ICT) is used in emergency response. An important branch of this area includes investigations of how members of the public make use of ICT to aid them during mass emergencies. Data collection and analytics during crisis events is a critical pre-requisite for performing such research, as the data generated during these events on social media networks are ephemeral and easily lost. We report on the current state of a crisis informatics data analytics infrastructure that we are developing in support of a broader, interdisciplinary research program. We also comment on the role that software engineering research plays in these increasingly common, highly-interdisciplinary research efforts.
Kenneth M. Anderson, Aaron Schram
ICSE2
2011 Natural Language Processing to the Rescue? Extracting "Situational Awareness" Tweets During Mass Emergency
Sudha Verma, Sarah Vieweg, William J. Corvey, Leysia Palen, James H. Martin, Martha Palmer, Aaron Schram, Kenneth M. Anderson
ICWSM7