IDAS Launch Event

Monday Sep 30, 2019, 9:00 AM → 7:00 PM Europe/London

OCW 017 (Ogden Centre West)

This meeting marks the launch of Durham's new Institute for Data Science.  It aims to give researchers at the University the opportunity to present their interests in Data Science, to network, and to get to know each other.

Welcome Coffee

Morning 1: Numbers

Convener: Dr Jochen Einbeck (Mathematical Sciences / IDAS)

1 The data movement challenge and a communication-avoiding mindset

Speaker: Tobias Weinzierl (Computer Science / IDAS)

Talk1-Weinzierl.pdf

2 Extracting Governing Equations from Data

Over the centuries, scientists have sought to describe natural phenomena with mechanistic models. In the last century, we have also made tremendous progress in building powerful non-mechanistic models, from linear regression to random forests and neural networks. However, although data are nowadays abundant in many areas of science and engineering, models often remain elusive. I will introduce the toolbox of sparse regression and illustrate how it can extract parsimonious models from data. I will give the examples of charging electric vehicles and automating the discovery of governing equations from data.

Speaker: Rui Carvalho (Engineering / DEI / IDAS)

Talk2-Rui_Carvalho_IDAS_launch.pdf

3 New insights into magnetic relaxation from HPC

Speaker: Anthony Yeates (Mathematical Sciences - Magnetohydrodynamics / IDAS)

4 Escape From Model Land

Speaker: Leonard A. Smith (LSE / Oxford / Visiting Prof at Durham (Astronomy))

Talk4-2019-09-29_Durham-Big-Data.pptx

5 Condor: a cheap HPC

Speaker: Bernard Piette (Mathematical Sciences / CPT)

Talk5-BPiette.pdf

6 Multi-parameter estimation with P&G

Speaker: Miguel De-Icaza-Lizaola (Physics / CDT)

Talk6-Miguel-p&g_talk.pdf

7 Statistics, Data, and Science

Speaker: Jonathan Cumming (Mathematical Sciences - Statistics, SMCU / IDAS)

Talk7-IDAS_JAC.pdf

8 Emulation of computer models when multi-fidelity data are available

Speaker: Georgios Karagiannis (Mathematical Sciences - Statistics / IDAS)

Talk8-Karag.pdf

9 Quantum computing research in Durham QLM

Speaker: Nicholas Chancellor (Physics - Quantum Light and Matter)

Talk9-IDAS_launch_Chancellor.pdf

Coffee break

Morning 2: Culture

Convener: Wendy Parker (Philosophy / IDAS / CHESS)

10 Music and Big Data (1)

Speaker: Tuomas Eerola (Music)

IDAS_Eerola_R1.pptx

Link to presentation

11 The Sound of MusAIc

Speaker: Nick Collins (Music)

12 Doctoral theses and digital scholarship: working with the EThOS collection of the British Library

Speaker: Catherine Montgomery (Education)

13 Predigital Data

Speaker: Matthew Eddy (Philosophy)

14 Online competition: how dominant platforms use data

Speaker: Anca Chirita (Law School)

15 Using evolutionary models to study cultural change and diversity

Speaker: Jeremy Kendal (DCERC/Dept. Anthropology)

16 The theory-ladenness of observation in big data science

Speaker: Peter Vickers (Philosophy)

17 Intelligent Tutoring Systems and Learning Analytics

Speaker: Lei Shi (Computer Science)

18 Virtual Bodies: Ethics of Digital Data in Physical Anthropology

Speaker: Trudi Buck (Anthropology)

Sandwich Lunch

Afternoon 1: Images

19 IDAS overview

Speaker: Frank Krauss (IDAS & physics)

Launch_30.9.pdf

20 Forests and climate change - what do images tell us?

Speaker: Danny Donoghue (Geography)

21 Statistical Shape Modelling and Applications

Speaker: Ian Jermyn (Mathematical Sciences)

22 Classification of Airborne Laser Scanner Data using Deep Learning

Speaker: Nan Wang

23 Quite big, very messy: Data science and the Archaeology of the Ancient near East

Speaker: Dan Lawrence

24 Climate change and the dry tropical forests of Southern Central Africa

Speaker: Ruusa David

25 Spectral analysis of coffee in Thailand

Speaker: Anthony Brown

26 CNN-supervised classification of airborne riverscape imagery

Speaker: Patrice Carbonneau

Coffee break

Afternoon 2: Language

27 Data Mining and Classical Manuscripts

Speaker: Peter Heslin (IDAS and Classics)

idas-heslin.pdf

28 Rescribe: OCR for historic texts and manuscripts

Speaker: Nick White (Rescribe (Durham spin-out))

29 Interactive text mining and visualization in the humanities

Speaker: Donald Sturgeon (Computer Science)

IDAS Sturgeon.pptx

30 Digital Theology

Speaker: Pete Phillips (Theology)

31 Machine Learning and Patterns in Dialogue

Speaker: Chris Brown (Education)

Machine Learning and Patterns in Dialogue.pptx

32 Deep Learning for Museum Collections

Working with image data provided by the Durham University Oriental Museum, we sought to test how well a data set created from a museum's digital archives could be used for broad artefact type classification using a CNN implemented in PyTorch, as well as considering potential ways in which computer vision and object recognition could be used to support efforts in heritage protection.

Speaker: Matthew Roberts (Archaeology)

Developing the DUMAC Data Set - Abridged CAA2019 presentation.pptx

33 Statistical Methods in Archaeology

Speaker: Andrew Millard (Archaeology)

Millard IDAS Launch Statistical Methods in Archaeology.pptx

34 AI and Ethical Investing

Speaker: Robert Song

2019-09 IDAS launch AI and Ethical Investiment.pptx

35 Mapping Risks in Generated Text

This talk is based on research conducted in collaboration with the United Nations and demonstrates the ability with which AI can be used to generate text easily, and at a low cost. The implications of this to societal peace and stability will be explored, and recommendations for potential steps towards the mitigation of negative consequences given.

Speaker: Joe Bullock

JPB_Presentation_2.pptx

Evening Reception