ACM Talk: Modeling and Assessing Association by Comparing Spatial Heterogeneity Speaker: Dr. Xuezhi Cang, UMBC. Abstract:Measuring spatial association between different spatial layers is important in spatial data modeling. Traditionally, the relationship between variables can be measured by linear regression. The assumptions of those traditional methods are hard to meet in the spatial data. Also, the traditional statistical methods do not consider Tobler’s First Law of Geography which is an important spatial data property. To address these drawbacks, I propose a spatial data association estimator (termed as SPatial Association DEtector, SPADE). By comparing the spatial heterogeneity, this estimator, which evolved from a variance-based relation estimator, explicitly considers the spatial variance by assigning the weight of the influence based on spatial distribution. It also overcomes the drawback of its old version which can only measure the association between continuous and discrete variables. This method has been applied to estimate the influence of the environmental factors and their outcome (e.g. junction angle and environmental factors). The associations between environmental factors and junction angles have been used to infer the paleoenvironment of Mars; they showed that Mars was probably “warm” and “wet” several billion years ago. The method could also be used in human geography and social science to estimate the importance of spatial factors and their outcome.
Please also check out our attached flyer. Sincerely,
ACM Talk: How Does Fact-checking Affect News Engagement on Social Media Platforms: A Multi-method Study
Speaker: Guohou(Jack) Shan, PhD Candidate at Temple University. UMBC Alumni’2019.
Abstract: Social media platforms have begun to counter false news by integrating fact-checking services. These fact checkers verify posts’ content and inform users about the posts’ veracity before engaging with them. While the efficacy of fact-checking on users has been studied in prior literature, little attention has been paid to the factors that determine the effectiveness of fact-checking (e.g., fact-checking timeliness or reputation of the poster) to sway user reactions. Our multi-method study leverages the high external validity of observational data from Twitter (Study 1) complemented by the high internal validity of experimental data (Study 2) to build insights into how fact-checking methods and poster attributes affect news engagement (i.e., willingness to read, talk, comment, and share). We find when fact-checking flags news as false significantly decreases news engagement and that fact-checking timeliness and poster reputation moderate the effect of fact-checking. Moreover, we find that fact-checking affects news engagement by influencing users’ evaluation of the news believability and shareability. Our findings enrich the understanding of the impact of fact-checking on users’ engagement with news and suggest managerial implications for reducing false news engagement.
How long haven’t you catch up with your schoolmates, colleagues, friends from other labs, classes, offices? Let’s all walk out our labs, classes, offices! And enjoy a cozy and causal lunchtime together with refreshments!
This is a great opportunity to socialize, network, explore ideas, collaborate and treat yourself to coffee, teaand snacks while you’re at it! Faculty, staff and especially students are encouraged to participate.
Location : ITE 346
Time: Oct. 28th2022, Friday, 12pm to 12:50pm
Hosted by: ACM
Hope to see you all there!
Call for poster: We have a big screen! Do you want to
showcase your research, get more exposure? Throw us an email J
ACM UMBC and CSEE Department
Please email ‘firstname.lastname@example.org’ with any questions regarding this event.
We at UMBC ACM x Vinjamuri Lab invite you all to join us at “Synergy-based Brain-Machine Interfaces” a research talk by our new CSEE professor Dr. Ramana Kumar Vinjamuri. The talk focus on Dr. Ramana’s ongoing research at the Lab and how he plans to expand it further. As attendees, you get a chance to hear Dr. Ramana speak in detail about his work and get a chance to talk with him regarding contributing further to the field.
When: Friday; Oct 23th, 2020 Time:12:00 P.M. to 1:00 P.M Meeting Link: umbc.webex.com/meet/rvinjam1 (ID: 1607007544) Join by phone: (US Toll) +1 202-860-2110 (access code: 1607007544) Contact: email@example.com | firstname.lastname@example.org
It is that time in the semester when UMBC’s student branches of The Association for Computing Machinery (ACM) and Institute of Electronics and Electrical Engineers (IEEE) host the annual CSEE Welcome Event. The event will be held on Friday, October 2, 2020, from 12-2 pm and YOU are invited! Unfortunately, we cannot hold this event in the traditional way, but do not fear you will still be able to gather with your fellow peers and faculty members. We will be hosting the event virtually on a Discord server that was created specifically for this event, the link to the server is https://discord.gg/YXuMZzm. There will be multiple chat rooms covering a variety of computer science, computer engineering, and many other technical topics. Some faculty members will even be giving presentations on their research and areas of study. You can interact with them, talk about your interests, your experience with the field, and who knows what opportunity you can grab?
So, come join a chat room relating to your favorite topics and start communicating with your fellow students and faculty who share the same interests. This event is a great way for you to network, meet new people with shared interests, get to know your professors and instructors better, and possibly even land a research position! We hope to see you there!
On behalf of the UMBC Association for Computing Machinery (ACM) Chapter you are invited to Hi-Tea for this Spring 2020 semester. Date: Friday, February 21st, 2020 Time : 12:00 p.m. to 12:30 p.m. Venue: ITE Building, 3rd Floor hallway outside of Suite 325 Refreshments, Meet with students, faculty and staff.