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This Week’s Events

Computer Science Education Group Event: Keynote Seminar

Group: Scottish Informatics and Computer Science Alliance (SICSA)
Speaker: SICSA Event, SICSA
Date: 29 April, 2024
Time: 12:00 - 14:00
Location:The University of Edinburgh, School of Informatics, Informatics Forum, Room G.07, 10 Crichton Street , Edinburgh , EH8 9AB , United Kingdom

We are thrilled to invite you to the seminar of the Computer Science Education (CSE) group at the University of Edinburgh, School of Informatics. This event will take place in person (limited spaces), with the Keynote Presentation being streamed online.   Find out more details and register - Join the guestlist – Computer Science Education Group Event: Keynote Seminar – University of Edinburgh School of Informatics, (tickettailor.com)

Enhancing the Search Experience on Complex Search Scenarios

Group: Information Retrieval (IR)
Speaker: Jorge Gabin, University of A Coruña
Date: 29 April, 2024
Time: 15:00 - 16:00
Location: Room 422, SAWB

Title:
Enhancing the Search Experience on Complex Search Scenarios

Abstract:
Search experience (SX) is fundamental to succeed in complex search tasks. However, achieving a great SX in advanced search engines is extremely difficult. The reason behind this is that, on the one hand, the types of users, tasks and information needs are disparate, and, on the other hand, the nature of the information in these search engines and the search possibilities are diverse and complex. In this talk, I will describe our two first works towards enhancing the search experience in complex search scenarios. First, I will present docT5keywords, a keyword generation model based on text-to-text transfer transformers (T5). This model generates descriptive keywords directly from academic documents, offering a fresh perspective on keyword labelling. We compare its performance with the EmbedRank model and manual keyword assignments by authors, highlighting its ability to produce unseen labels and its suitability for exploratory search tasks. Then, regarding our second work, we will introduce two models for the keyword suggestion task trained on scientific literature. These models adapt the architecture of Word2Vec and FastText to generate keyword embeddings, leveraging keyword co-occurrence patterns in academic publications. Alongside these models, we will present a specially tailored negative sampling approach that enhances keyword suggestion accuracy. Our evaluation methodology includes ranking-based assessments in both known-item and ad-hoc search scenarios, demonstrating significant improvements over existing word and sentence embedding models.

Bio:
I am a third-year PhD candidate at the Information Retrieval Lab, University of A Coruña, concurrently engaged as a researcher at Linknovate. My primary focus is enhancing search and user experience within complex search scenarios. Specifically, my research involves developing models to aid users in query formulation and refining ranking algorithms with keyphrase search scenarios. Before diving into research, I also worked as a software engineer at a multinational textile company.

Using AI-Enhanced Social Robots to Improve Children's Healthcare Experiences

Group: Computing Technologies for Healthcare
Speaker: Dr Mary-Ellen Foster, GIST, Glasgow University
Date: 30 April, 2024
Time: 11:00 - 12:00
Location: SAWB 423, Sir Alwyn Williams Building

I will describe an ongoing project where we are developing a social robot, based on the Nao platform, to be deployed in two children’s emergency departments to help patients cope with medical procedures that may be painful and distressing. Intravenous Insertion (IVI) was identified as an appropriate procedure: this is one of the most commonly performed procedures in the context of children seeking medical care, and also one that can be painful and distressing for the child and for their parents or caregivers. A social robot was found to be effective in this context; however, the behaviour of that robot was fully scripted, significantly limiting its ability to respond to the child’s state during the course of the procedure. To address the limitations of previous studies, our robot system is designed to use AI planning techniques to allow it to adapt flexibly during an interaction.

In this talk, I will begin by describing how we have engaged with stakeholders throughout the project, including staff, patients, and caregivers at two large Canadian teaching hospitals. I will then present the robot system that we have developed based on those interviews, focus groups, and workshops. The robot system is currently undergoing user testing in the target hospitals, with the goal of a two-site Randomised Clinical Trial to be carried out before the end of 2024.

Zoom Meeting ID: 837 6350 2550

Passcode: 286749

Informing, instructing, or ignoring: challenges and considerations for designing machine learning software for users in CNI.

Group: Systems Seminars
Speaker: Kelsey Collington
Date: 30 April, 2024
Time: 14:00 - 14:30
Location: Room 422, SAWB

The first part of the Systems seminar on 30/04/2024 is delivered by Kelsey Collington.

Please find the details below:

Title: Informing, instructing, or ignoring: challenges and considerations for designing machine learning software for users in CNI.
 
Abstract: Successful integration of machine learning based software to help protect, detect and respond to cyber incidents is one means of enhancing digital resilience. Introducing such software facilitates human-machine interaction through supporting higher levels of machine automation. Importantly, existing research highlights human-machine interaction needs to be tuned to the particular groups of people involved in the human-machine interaction.
 
This research focuses on CNI organisations that tend to be risk adverse and prioritise the safe running of physical processes. As a result, these CNI organisations approach cyber security from a different perspective to non-safety critical CNI organisation. This is a group of end users that is underrepresented within existing research into human-machine interaction, and therefore there is a lack of understanding as to the challenges and considerations of designing machine learning software for these end users. To address this research gap, I have been conducting semi-structured interviews with personnel from the nuclear industry. Interviewees have experience with industrial control systems and cyber security. In this talk I will be discussing some of the preliminary findings of these interviews. I will then discuss how this research builds upon a related body of existing research and lays the foundation for future research directions.
 

Zoom link:
https://uofglasgow.zoom.us/j/86186325698?pwd=STNMZ2Y5a1lwMzEvcWowYTFSSjJ1QT09

Meeting ID: 861 8632 5698
Passcode: 803628

RIPEn at Home Surveying Internal Domain Names using RIPE Atlas

Group: Systems Seminars
Speaker: Elizabeth Boswell
Date: 30 April, 2024
Time: 14:30 - 15:00
Location: Room 422, SAWB

The second half of the Systems Seminar is delivered by Elizabeth Boswell.

Please find the details below.

Title: RIPEn at Home Surveying Internal Domain Names using RIPE Atlas

Abstract: 

Internal domain names are domain names that are only valid in a local network. For example, many home networks use an internal name, such as "gateway.home", to refer to the home gateway/home router. Queries for these names are resolved by the home gateway and should not be sent to the global DNS. 
 
name collision occurs if an internal name also exists in the global DNS, a query for the internal name is accidentally sent to the global DNS, and the response differs from the local response. This can happen, for example, if queries are accidentally sent to a public resolver. Name collisions can lead to security issues, as the global DNS domain name can be used to spoof the local device.
 
While previous studies of name collisions used passive measurement data, we use active measurements on RIPE Atlas to survey the use of internal names in home networks. We discover 3092 names, used by 4305 RIPE Atlas probes, of which 2.13% are at acute risk of name collision, and 34.51% are at risk of collision if their top-level domain is delegated.
 

Zoom link:
https://uofglasgow.zoom.us/j/86186325698?pwd=STNMZ2Y5a1lwMzEvcWowYTFSSjJ1QT09

Meeting ID: 861 8632 5698
Passcode: 803628

Scottish Autonomous Networked Systems - Part II (SANS 2024)

Group: Scottish Informatics and Computer Science Alliance (SICSA)
Speaker: SICSA Event, SICSA
Date: 02 May, 2024
Time: 09:30 - 17:30
Location:The Advanced Research Centre (ARC), University of Glasgow, 11 Chapel lane, University of Glasgow, Glasgow, G11 6EW, United Kingdom

SANS – part II is an opportunity to bring together researchers from different areas to share ideas and learn about ongoing work in relation to autonomous networked systems. If you would like to share your work, we are looking for short form presentations and posters from students. The goal is information sharing and community awareness, with a path to future collaborations (and funding!). Topic of relevance may include: Applying novel AI & ML techniques in an innovative manner to create evolvable and autonomous compute and network infrastructure. Repurposing robotic operation techniques to distributed and federated software control to achieve runtime operational assurance. Investigating new programming interactions between user, system, and network to achieve trust for autonomous operation. The role of digital twins in supporting the operation of these complex distributed systems The use of formal methods to help achieve trustworthy operation in the face of dynamic and adaptable operational environments. We have confirmed attendance from EPSRC to talk about funding opportunities, as well as members from international industry and academia interested in the topic. Important Info: Price: FREE Date: 2 – 3 May 2024 Location: University of Glasgow or Online Catering provided. Registration Necessary (for catering): https://www.ticketsource.co.uk/autonomy

Curriculum, Enrolment and Inclusion

Group: Centre for Computing Science Education (CCSE)
Speaker: Steven Bradley, Durham University
Date: 02 May, 2024
Time: 15:00 - 16:00
Location: Hybrid: 422 (Seminar Room), Sir Alwyn Williams Building and CCSE Zoom Room

DESCRIPTION:

At ITiCSE 2023, working group 6 (WG6) explored women's elective choices by analysing elective curriculum documents from nine institutions and seeing how they related to enrolment numbers by women and men. Comparing the popularity of elective modules allowed us to identify how much topic areas affect enrolment, as opposed to non-topic factors such as the lecturer, timetable etc. I will summarise the approach and results we got and talk about work currently in progress on exploring the topics covered by a wide range of UK HE institutions. Because of the number of courses involved, human expert classification of topic areas is infeasible, so we are planning to use topic modelling to identify patterns of provision, and to relate them to what we know learnt from WG6 women's elective choices.
 
STEVEN'S BIO:
After studying Maths and then Computer Science, Steven joined Durham University in 1997 as a lecturer in Computer Science. From 2004-2013 he was a part-time teaching fellow, spending the rest of his time on web consultancy, mainly on research projects across the university. From 2013 he was a full-time teaching fellow in the department of Computer Science and has been an Professor (Education) since 2020.
 
Steven likes playing musical instruments and singing, and holds many music qualifications including Grade 1 Violin (with merit).  He is qualified in Chainsaw Maintenance and Cross-cutting as well as Felling and Processing Trees up to 380mm. In sailing he holds the RYA Day Skipper Practical qualification and acts as personal sailing advisor to Guy Gordon, the Highland Vet, having previously held the rank of patrol leader of the Penguins in the 19th Tynemouth 9th Tyne Sea Scouts.

SICSA Pre-CHI Day 2024

Group: Scottish Informatics and Computer Science Alliance (SICSA)
Speaker: SICSA Event, SICSA
Date: 03 May, 2024
Time: 01:00 - 01:00
Location:Inspace, 1 Crichton Street, Edinburgh, ,

We are pleased to announce that this year’s SICSA Pre-CHI day will be hosted by the University of Edinburgh on the 3rd May. This will be an all-day event, comprising of talks, posters, demos and social activities where work being presented at the 2024 ACM CHI conference by Scotland-based researchers will be shared, discussed and explored. The event is an opportunity to celebrate Scottish success at this year’s CHI conference, help build links across the Scottish HCI community, and welcome HCI researchers who are new to Scotland. It also gives an opportunity for interested researchers who are unable to go to CHI itself this year to hear about work being presented at the conference, and to discuss in depth with researchers their latest work. We expect a mixed audience, including researchers of the Scottish HCI community as well as interested students and industry collaborators. Are you a researcher based in Scotland with work accepted to CHI 2024 that you'd like to share with us as part of our event? If yes, please do register by the 12th April so we can finalise the programme for the day. The registration form allows you to tell us some basic details about the work you'd like to share. General registration for attendees will be open until the 30th April for in-person, and until the day before the event for online remote attendance. Event programme to be announced closer to date of event. The full details of the programme will be announced close to the date as it depends on the number of authors able to contribute talks to the programme. Attendance is free, however you should register on this Eventbrite in order that catering numbers can be confirmed. In-person attendance: Inspace, 1 Crichton St, Newington, Edinburgh EH8 9AB Online In-person attendance: Zoom Please note limited seats are available at Inspace for in-person audiences, so please book tickets in advance. For those joining online please select the appropriate ticket below, and you will be emailed the link to the Zoom room the day prior to the event. If you have any questions about this event, please contact the Design Informatics administrative team: designinformatics@ed.ac.uk

Upcoming events

Computer Science Education Group Event: Keynote Seminar

Group: Scottish Informatics and Computer Science Alliance (SICSA)
Speaker: SICSA Event, SICSA
Date: 29 April, 2024
Time: 12:00 - 14:00
Location: The University of Edinburgh, School of Informatics, Informatics Forum, Room G.07, 10 Crichton Street , Edinburgh , EH8 9AB , United Kingdom

We are thrilled to invite you to the seminar of the Computer Science Education (CSE) group at the University of Edinburgh, School of Informatics. This event will take place in person (limited spaces), with the Keynote Presentation being streamed online.   Find out more details and register - Join the guestlist – Computer Science Education Group Event: Keynote Seminar – University of Edinburgh School of Informatics, (tickettailor.com)

Enhancing the Search Experience on Complex Search Scenarios

Group: Information Retrieval (IR)
Speaker: Jorge Gabin, University of A Coruña
Date: 29 April, 2024
Time: 15:00 - 16:00
Location: Room 422, SAWB

Title:
Enhancing the Search Experience on Complex Search Scenarios

Abstract:
Search experience (SX) is fundamental to succeed in complex search tasks. However, achieving a great SX in advanced search engines is extremely difficult. The reason behind this is that, on the one hand, the types of users, tasks and information needs are disparate, and, on the other hand, the nature of the information in these search engines and the search possibilities are diverse and complex. In this talk, I will describe our two first works towards enhancing the search experience in complex search scenarios. First, I will present docT5keywords, a keyword generation model based on text-to-text transfer transformers (T5). This model generates descriptive keywords directly from academic documents, offering a fresh perspective on keyword labelling. We compare its performance with the EmbedRank model and manual keyword assignments by authors, highlighting its ability to produce unseen labels and its suitability for exploratory search tasks. Then, regarding our second work, we will introduce two models for the keyword suggestion task trained on scientific literature. These models adapt the architecture of Word2Vec and FastText to generate keyword embeddings, leveraging keyword co-occurrence patterns in academic publications. Alongside these models, we will present a specially tailored negative sampling approach that enhances keyword suggestion accuracy. Our evaluation methodology includes ranking-based assessments in both known-item and ad-hoc search scenarios, demonstrating significant improvements over existing word and sentence embedding models.

Bio:
I am a third-year PhD candidate at the Information Retrieval Lab, University of A Coruña, concurrently engaged as a researcher at Linknovate. My primary focus is enhancing search and user experience within complex search scenarios. Specifically, my research involves developing models to aid users in query formulation and refining ranking algorithms with keyphrase search scenarios. Before diving into research, I also worked as a software engineer at a multinational textile company.

Using AI-Enhanced Social Robots to Improve Children's Healthcare Experiences

Group: Computing Technologies for Healthcare
Speaker: Dr Mary-Ellen Foster, GIST, Glasgow University
Date: 30 April, 2024
Time: 11:00 - 12:00
Location: SAWB 423, Sir Alwyn Williams Building

I will describe an ongoing project where we are developing a social robot, based on the Nao platform, to be deployed in two children’s emergency departments to help patients cope with medical procedures that may be painful and distressing. Intravenous Insertion (IVI) was identified as an appropriate procedure: this is one of the most commonly performed procedures in the context of children seeking medical care, and also one that can be painful and distressing for the child and for their parents or caregivers. A social robot was found to be effective in this context; however, the behaviour of that robot was fully scripted, significantly limiting its ability to respond to the child’s state during the course of the procedure. To address the limitations of previous studies, our robot system is designed to use AI planning techniques to allow it to adapt flexibly during an interaction.

In this talk, I will begin by describing how we have engaged with stakeholders throughout the project, including staff, patients, and caregivers at two large Canadian teaching hospitals. I will then present the robot system that we have developed based on those interviews, focus groups, and workshops. The robot system is currently undergoing user testing in the target hospitals, with the goal of a two-site Randomised Clinical Trial to be carried out before the end of 2024.

Zoom Meeting ID: 837 6350 2550

Passcode: 286749

Informing, instructing, or ignoring: challenges and considerations for designing machine learning software for users in CNI.

Group: Systems Seminars
Speaker: Kelsey Collington
Date: 30 April, 2024
Time: 14:00 - 14:30
Location: Room 422, SAWB

The first part of the Systems seminar on 30/04/2024 is delivered by Kelsey Collington.

Please find the details below:

Title: Informing, instructing, or ignoring: challenges and considerations for designing machine learning software for users in CNI.
 
Abstract: Successful integration of machine learning based software to help protect, detect and respond to cyber incidents is one means of enhancing digital resilience. Introducing such software facilitates human-machine interaction through supporting higher levels of machine automation. Importantly, existing research highlights human-machine interaction needs to be tuned to the particular groups of people involved in the human-machine interaction.
 
This research focuses on CNI organisations that tend to be risk adverse and prioritise the safe running of physical processes. As a result, these CNI organisations approach cyber security from a different perspective to non-safety critical CNI organisation. This is a group of end users that is underrepresented within existing research into human-machine interaction, and therefore there is a lack of understanding as to the challenges and considerations of designing machine learning software for these end users. To address this research gap, I have been conducting semi-structured interviews with personnel from the nuclear industry. Interviewees have experience with industrial control systems and cyber security. In this talk I will be discussing some of the preliminary findings of these interviews. I will then discuss how this research builds upon a related body of existing research and lays the foundation for future research directions.
 

Zoom link:
https://uofglasgow.zoom.us/j/86186325698?pwd=STNMZ2Y5a1lwMzEvcWowYTFSSjJ1QT09

Meeting ID: 861 8632 5698
Passcode: 803628

RIPEn at Home Surveying Internal Domain Names using RIPE Atlas

Group: Systems Seminars
Speaker: Elizabeth Boswell
Date: 30 April, 2024
Time: 14:30 - 15:00
Location: Room 422, SAWB

The second half of the Systems Seminar is delivered by Elizabeth Boswell.

Please find the details below.

Title: RIPEn at Home Surveying Internal Domain Names using RIPE Atlas

Abstract: 

Internal domain names are domain names that are only valid in a local network. For example, many home networks use an internal name, such as "gateway.home", to refer to the home gateway/home router. Queries for these names are resolved by the home gateway and should not be sent to the global DNS. 
 
name collision occurs if an internal name also exists in the global DNS, a query for the internal name is accidentally sent to the global DNS, and the response differs from the local response. This can happen, for example, if queries are accidentally sent to a public resolver. Name collisions can lead to security issues, as the global DNS domain name can be used to spoof the local device.
 
While previous studies of name collisions used passive measurement data, we use active measurements on RIPE Atlas to survey the use of internal names in home networks. We discover 3092 names, used by 4305 RIPE Atlas probes, of which 2.13% are at acute risk of name collision, and 34.51% are at risk of collision if their top-level domain is delegated.
 

Zoom link:
https://uofglasgow.zoom.us/j/86186325698?pwd=STNMZ2Y5a1lwMzEvcWowYTFSSjJ1QT09

Meeting ID: 861 8632 5698
Passcode: 803628

Scottish Autonomous Networked Systems - Part II (SANS 2024)

Group: Scottish Informatics and Computer Science Alliance (SICSA)
Speaker: SICSA Event, SICSA
Date: 02 May, 2024
Time: 09:30 - 17:30
Location: The Advanced Research Centre (ARC), University of Glasgow, 11 Chapel lane, University of Glasgow, Glasgow, G11 6EW, United Kingdom

SANS – part II is an opportunity to bring together researchers from different areas to share ideas and learn about ongoing work in relation to autonomous networked systems. If you would like to share your work, we are looking for short form presentations and posters from students. The goal is information sharing and community awareness, with a path to future collaborations (and funding!). Topic of relevance may include: Applying novel AI & ML techniques in an innovative manner to create evolvable and autonomous compute and network infrastructure. Repurposing robotic operation techniques to distributed and federated software control to achieve runtime operational assurance. Investigating new programming interactions between user, system, and network to achieve trust for autonomous operation. The role of digital twins in supporting the operation of these complex distributed systems The use of formal methods to help achieve trustworthy operation in the face of dynamic and adaptable operational environments. We have confirmed attendance from EPSRC to talk about funding opportunities, as well as members from international industry and academia interested in the topic. Important Info: Price: FREE Date: 2 – 3 May 2024 Location: University of Glasgow or Online Catering provided. Registration Necessary (for catering): https://www.ticketsource.co.uk/autonomy

Curriculum, Enrolment and Inclusion

Group: Centre for Computing Science Education (CCSE)
Speaker: Steven Bradley, Durham University
Date: 02 May, 2024
Time: 15:00 - 16:00
Location: Hybrid: 422 (Seminar Room), Sir Alwyn Williams Building and CCSE Zoom Room

DESCRIPTION:

At ITiCSE 2023, working group 6 (WG6) explored women's elective choices by analysing elective curriculum documents from nine institutions and seeing how they related to enrolment numbers by women and men. Comparing the popularity of elective modules allowed us to identify how much topic areas affect enrolment, as opposed to non-topic factors such as the lecturer, timetable etc. I will summarise the approach and results we got and talk about work currently in progress on exploring the topics covered by a wide range of UK HE institutions. Because of the number of courses involved, human expert classification of topic areas is infeasible, so we are planning to use topic modelling to identify patterns of provision, and to relate them to what we know learnt from WG6 women's elective choices.
 
STEVEN'S BIO:
After studying Maths and then Computer Science, Steven joined Durham University in 1997 as a lecturer in Computer Science. From 2004-2013 he was a part-time teaching fellow, spending the rest of his time on web consultancy, mainly on research projects across the university. From 2013 he was a full-time teaching fellow in the department of Computer Science and has been an Professor (Education) since 2020.
 
Steven likes playing musical instruments and singing, and holds many music qualifications including Grade 1 Violin (with merit).  He is qualified in Chainsaw Maintenance and Cross-cutting as well as Felling and Processing Trees up to 380mm. In sailing he holds the RYA Day Skipper Practical qualification and acts as personal sailing advisor to Guy Gordon, the Highland Vet, having previously held the rank of patrol leader of the Penguins in the 19th Tynemouth 9th Tyne Sea Scouts.

SICSA Pre-CHI Day 2024

Group: Scottish Informatics and Computer Science Alliance (SICSA)
Speaker: SICSA Event, SICSA
Date: 03 May, 2024
Time: 01:00 - 01:00
Location: Inspace, 1 Crichton Street, Edinburgh, ,

We are pleased to announce that this year’s SICSA Pre-CHI day will be hosted by the University of Edinburgh on the 3rd May. This will be an all-day event, comprising of talks, posters, demos and social activities where work being presented at the 2024 ACM CHI conference by Scotland-based researchers will be shared, discussed and explored. The event is an opportunity to celebrate Scottish success at this year’s CHI conference, help build links across the Scottish HCI community, and welcome HCI researchers who are new to Scotland. It also gives an opportunity for interested researchers who are unable to go to CHI itself this year to hear about work being presented at the conference, and to discuss in depth with researchers their latest work. We expect a mixed audience, including researchers of the Scottish HCI community as well as interested students and industry collaborators. Are you a researcher based in Scotland with work accepted to CHI 2024 that you'd like to share with us as part of our event? If yes, please do register by the 12th April so we can finalise the programme for the day. The registration form allows you to tell us some basic details about the work you'd like to share. General registration for attendees will be open until the 30th April for in-person, and until the day before the event for online remote attendance. Event programme to be announced closer to date of event. The full details of the programme will be announced close to the date as it depends on the number of authors able to contribute talks to the programme. Attendance is free, however you should register on this Eventbrite in order that catering numbers can be confirmed. In-person attendance: Inspace, 1 Crichton St, Newington, Edinburgh EH8 9AB Online In-person attendance: Zoom Please note limited seats are available at Inspace for in-person audiences, so please book tickets in advance. For those joining online please select the appropriate ticket below, and you will be emailed the link to the Zoom room the day prior to the event. If you have any questions about this event, please contact the Design Informatics administrative team: designinformatics@ed.ac.uk

TBA

Group: Programming Languages at University of Glasgow (PLUG)
Speaker: Chris Brown, University of St Andrews
Date: 08 May, 2024
Time: 15:00 - 16:00
Location: F121 Lilybank Gardens and Online

Chris Brown from St Andrews will be giving a joint PLUG-LOCOS talk.

Francesco Busolin IR Seminar

Group: Information Retrieval (IR)
Speaker: Francesco Busolin, Università Ca' Foscari Venezia
Date: 13 May, 2024
Time: 15:00 - 16:00
Location: Room 422, SAWB

Title: 

TBC

Abstract:

TBC

Bio:

TBC

TBA

Group: Programming Languages at University of Glasgow (PLUG)
Speaker: Dominic Orchard
Date: 15 May, 2024
Time: 15:00 - 16:00
Location: Room 422, SAWB

Dominic Orchard from Kent will be giving us a talk (also joint with LOCOS). Details TBA.

Implementing a Language Server Protocol for Links (MSci Project Talk)

Group: Programming Languages at University of Glasgow (PLUG)
Speaker: Brandon Forrest, University of Glasgow
Date: 22 May, 2024
Time: 15:00 - 16:00
Location: TBA

Brandon will be talking about his MSci project, on implementing an LSP backend for Links.

TBA

Group: Programming Languages at University of Glasgow (PLUG)
Speaker: Duncan Lowther
Date: 29 May, 2024
Time: 15:00 - 16:00
Location: Room 422, SAWB

Abstract TBA

Ferdinand Schlatt IR Seminar

Group: Information Retrieval (IR)
Speaker: Ferdinand Schlatt, Friedrich Schiller University Jena
Date: 03 June, 2024
Time: 15:00 - 16:00
Location: Room 422, SAWB

Title:

TBC

Abstract:

TBC

Bio:

TBC

TBC

Group: Centre for Computing Science Education (CCSE)
Speaker: Harold Thimbleby, Swansea University
Date: 06 June, 2024
Time: 15:00 - 16:00
Location: TBC

Yanran Tang IR Seminar

Group: Information Retrieval (IR)
Speaker: Yanran Tang, University of Queensland
Date: 17 June, 2024
Time: 15:00 - 16:00
Location: Room 422, SAWB

Title:

TBC

Abstract:

TBC

Bio:

TBC

SICSA Bootcamp on Cyber Security

Group: Scottish Informatics and Computer Science Alliance (SICSA)
Speaker: SICSA Event, SICSA
Date: 08 July, 2024
Time: 01:00 - 01:00
Location: University of Aberdeen, Kings College, Aberdeen, United Kingdom

Join us for a fun, in-person workshop on Cyber Security at The University of Aberdeen. Book your place today!

SICSA 2024 Bootcamp and PhD Conference

Group: Scottish Informatics and Computer Science Alliance (SICSA)
Speaker: SICSA Event, SICSA
Date: 08 July, 2024
Time: 10:00 - 15:00
Location: University of Aberdeen, ,

We are delighted to host our Bootcamp and PhD Conference at the University of Aberdeen this year. Our theme this year is Developing Adaptability and Resilience. We will have a packed schedule of inspiring key note speeches and practical workshops, insightful training and opportunities to meet and chat with your fellow PhD colleagues. Look out for more information on the registration links coming soon.

SICSA 2024 PhD Conference

Group: Scottish Informatics and Computer Science Alliance (SICSA)
Speaker: SICSA Event, SICSA
Date: 09 July, 2024
Time: 09:30 - 14:30
Location: University of Aberdeen, ,

We are delighted to host our PhD Conference at the University of Aberdeen this year. Our theme this year is Developing Adaptability and Resilience. We will have a packed schedule of inspiring key note speeches and practical workshops, insightful training and opportunities to meet and chat with your fellow PhD colleagues. Register to save your place today!

Past events

To view past events, please click here

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