ICMS and MAC-MIGS Modelling Camp 2021

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ICMS and MAC-MIGS Modelling Camp 2021

 17 - 20 May 2021
 Online

The Modelling Camp Aims to:

  1. Train students and early career mathematical science researchers to engage in study groups and similar activities
  2. Offer essential skills training - team-work, coping outside of one's comfort zone, introduction to modelling methodology, report writing, communication, and presentation skills
  3. Discover how different branches of mathematics can be applied in various industrial settings

Participation in a modelling camp is excellent preparation for Study Groups. European Study Groups with Industry are events across Europe. There is an annual ESGI in the UK.

The ICMS/MAC MIGS Modelling Camp is structured to maximise time for networking and informal discussions. We will use a mixture of online platforms (Zoom/Sococo/Slack) to hold this event. This mix of tools has been chosen to maximise team working.

MAC-MIGS and MI Industry Stream students will be send a separate link to register.

We invite PhD students, to join this years' modelling camp. As an online event, there are no costs to participate in the event, just your time and enthusiasm! It is, however, necessary to limit numbers based on the number of problems on offer. If you wish to participate in this year's modelling camp, you should complete the application form.

Apply here

The closing date for applications is 26 April 2021. Where appropriate, we may contact PhD supervisors to confirm support.

Problem Challenges

2021 Problem Challenges are a mix of problems from MAC MIGS Industral partners and Modelling Camp academic partners.  Each problem will have an assigned problem lead. Further problems are planned and will be added to the website in due course.

Brainnwave: Gas Flaring: Identifying Locations and Predicting Volumes

Brainnwave work with many companies in the energy industry that are trying to reduce their carbon impact using innovative technology. During many processes in natural oil processing, excess gases that are deemed too expensive to store are simply burned off in a process known as gas flaring. By identifying gas flaring locations and volumes using independent data sources, companies can be provided with information on where to target for the optimal results. This project focuses on creating an automated method to identify flaring locations for satellite data, and approximating the volume of gas burned over a given time period.

James Hutton Institute: All mixed up - new approaches to sorting seed types from intercrop combine harvests

Intercropping - growing two or more crops together - is a farming practice that can improve agricultural sustainability by reducing reliance on agrochemical inputs and increasing agrobiodiversity.
Harvesting and separation of grain crops grown as intercrops is a common challenge faced by farmers, in particular, threshed seed needs to be cleaned and separated into the different seed types. This project focuses on solutions for seed sorting and separation with multiple possible approaches from analysing images of harvested grain to the dynamics of seed movement through sieves.

Bays Consulting/Keen Marine: Trace metal mobilisation and mixing

Trace metals in rivers and oceans are in a continual state of flux driven by physical processes. Their concentration through uptake in organisms reflects their presence in the environment and could provide crucial management information for marine resources by illuminating their life history and use of the environment. However how such elements are mobilised and become available to be taken up by animals is poorly quantified as a system. This project aims to model the supply side of this system based on the input of pertinent environmental monitoring data, which will be made available during the project. It will integrate diverse data sources to predict the routes of trace metal delivery and their concentration at the river mouth over the data time period. There are a number of potential approaches from traditional modelling and statistics to data-science methods.

EDEM: Computational Speed-Up for Discrete Element Simulations

The Discrete Element Methodology (DEM) models granular material behaviour based on inter-particle interactions. It is used widely including in sectors focused on heavy equipment, automotive design, mining and process manufacturing. Because of its continuous expansion new but also existing markets push the boundaries of the method by asking for simulations in real time. However, due to the discrete nature of the particles, their wide range of sizes and the complexity in their movement, the computational cost is still orders of magnitude too slow. This project focuses on the use of state-of-the-art computational methods to increase the speed of DEM.

Poul Hjorth (TU Denmark): Efficient vaccine distribution.

COMPLEXICON Ltd. is involved in distribution of vaccine and vaccination know-how to extremely rural areas. This involves driving crates with vaccine doses in vans equipped with refrigiration units to remote population areas, often hundreds of miles from the vaccine distribution centre near the national airport. We seek an optimal (i.e. cost minimal and time-minimal) solution given various constraints on the number of vans, the number of vaccination instructors, the number of drivers and also the cost of petrol.

Programme

The provisional programme is detailed below.  All times are in BST.

Monday 17 May

10.00: Problem Descriptions
12.30: Group Work
16.00: Group Catch Ups

Tuesday 18 May

09.00: Group Work
16.00: Group Catch Ups

Wednesday 19 May

09.00: Group Work
16.00: Group Catch Ups
19.00: Modelling Camp 2021 - Social Activity

Thursday 20 May

09.00: Group Work
10.00: Final Presentation
14.00: End of Event