Publications

Here you can explore our latest research publications. Each entry lists the publication source, and details about the authors.

How to Simulate It in Isabelle: Towards Formal Proof for Secure Multi-Party Computation

David Butler, David Aspinall, Adrià Gascón

https://doi.org/10.1007/978-3-319-66107-0_8

http://dblp.uni-trier.de/search?q=How+to+Simulate+It+in+Isabelle%3A+Towards+Formal+Proof+for+Secure+Multi-Party+Computation

https://doi.org/10.1007/978-3-319-66107-0_8

Global network centrality of university rankings

Weisi Guo, Marco Del Vecchio, Ganna Pogrebna

DOI: 10.1098/rsos.171172

http://rsos.royalsocietypublishing.org/content/4/10/171172

Enabling Dependability-Driven Resource Use and Message Log-Analysis for Cluster System Diagnosis

Edward Chuah, Arshad Jhumka, Samantha Alt, Theo Damoulas, Nentawe Gurumdimma, Marie-Christine Sawley, Bill Barth, Tommy Minyard, James C. Browne

In the 24th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2017)

Conference:  The 24th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2017).

Link to list of accepted papers on conference website:  http://hipc.org/hipc-2017-accepted-papers-keynote-speakers/

Counterfactual Explanations Without Opening the Black Box: Automated Decisions and the GDPR

Sandra Wachter, Brent Mittelstadt, Chris Russell

https://ssrn.com/abstract=3063289

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3063289

Software: Bayesian analysis of single cell sequencing data – BASiCS

Catalina Vallejos, Nils Eling, Sylvia Richardson, John Marioni

DOI: 10.18129/B9.bioc.BASiCS

Streaming algorithms for matching size estimation in sparse graphs

G. Cormode, H. Jowhari, M. Monemizadeh, and S. Muthukrishnan

In European Symposium on Algorithms, 2017

http://dimacs.rutgers.edu/~graham/pubs/html/CormodeJowhariMonemizadehMuthukrishnan17.html

What is Data Sketching, and Why Should I Care?

G. Cormode

Communications of the ACM (CACM), 60(9):48-55, 2017.

http://dimacs.rutgers.edu/~graham/pubs/html/Cormode17.html

Fast or Frugal, but Not Both: Decision Heuristics Under Time Pressure

Bobadilla-Suarez S, Love BC.

10.1037/xlm0000419

From Parity to Preference: Learning with Cost-effective Notions of Fairness

Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, Krishna Gummadi and Adrian Weller

arxiv.org/abs/1707.00010

The Unreasonable Effectiveness of Random Orthogonal Embeddings

Krzysztof Choromanski, Mark Rowland and Adrian Weller

arxiv.org/abs/1703.00864

Uprooting and Rerooting Higher-order Graphical Models

Mark Rowland and Adrian Weller

oai:www.repository.cam.ac.uk:1810/256295

Lloyd’s Register Foundation Insight report on distributed ledger technologies

Dr Gary Pogson (2017)

LRF Report Series no.2017.4

You can view the report below or download a copy at the LR Foundation website

The intrinsic value of choice: The propensity to under-delegate in the face of potential gains and losses

Sebastian Bobadilla-Suarez, Cass R. Sunstein,Tali Sharot

DOI https://doi.org/10.1007/s11166-017-9259-x

Chainspace: A Sharded Smart Contracts Platform

Mustafa Al-Bassam, Alberto Sonnino, Shehar Bano, Dave Hrycyszyn, George Danezis

arXiv:1708.03778

https://arxiv.org/abs/1708.03778

Tomography of the London Underground: a Scalable Model for Origin-Destination Data

Nicolò Colombo (University College London) · Ricardo Silva (University College London) · Soong Moon Kang (University College London)

https://nips.cc/Conferences/2017/Schedule?showEvent=9091

https://nips.cc/Conferences/2017/Schedule?showEvent=9091

Contributed Discussion on Article by Chkrebtii, Campbell, Calderhead, and Girolami.

Briol F-X, Cockayne J, Teymur, O. (2016)

Bayesian Analysis, 11(4):1285-1293

https://arxiv.org/abs/1610.06752

Strong Convergence Rates of Probabilistic Integrators for Ordinary Differential Equations

Lie HC, Stuart AM, Sullivan TJ (2017)

arXiv:1703.03680

https://arxiv.org/abs/1703.03680

Compression, inversion, and approximate PCA of dense kernel matrices at near-linear computational complexity

Schaefer F, Sullivan TJ, Owhadi H (2017)

arXiv:1706.02205

https://arxiv.org/abs/1706.02205

Parallel multi-scale reduction of persistent homology filtrations

Rodrigo Mendoza-Smith, Jared Tanner

arXiv:1708.04710

https://arxiv.org/abs/1708.04710

A determinant-free method to simulate theparameters of large Gaussian fields

Louis Ellam, Heiko Strathmann, Mark Girolami, and Iain Murray

DOI: 10.1002/sta4.153

http://rdcu.be/u0Qx

Efficient Sequential Monte Carlo Algorithms for Integrated Population Models

Finke, A., King, R., Beskos, A. and Dellaportas, P. (2017)

arXiv:1708.04221

Counterfactual Fairness

Matt J. Kusner, Joshua R. Loftus, Chris Russell, Ricardo Silva

arXiv:1703.06856v2

https://arxiv.org/pdf/1703.06856.pdf

Efficient Minimization of Higher Order Submodular Functions using Monotonic Boolean Functions

Srikumar Ramalingam, Chris Russell, L’ubor Ladický, Philip H.S. Torr

https://arxiv.org/pdf/1109.2304.pdf

Lifting From the Deep: Convolutional 3D Pose Estimation From a Single Image

Denis Tome, Chris Russell, Lourdes Agapito

(CVPR), 2017, pp. 2500-2509

http://openaccess.thecvf.com/content_cvpr_2017/html/Tome_Lifting_From_the_CVPR_2017_paper.html

Truncated Max-of-Convex Models

Pankaj Pansari, M. Pawan Kumar

https://arxiv.org/abs/1512.07815

http://openaccess.thecvf.com/content_cvpr_2017/papers/Pansari_Truncated_Max-Of-Convex_Models_CVPR_2017_paper.pdf

From Computer Vision and Pattern Recognition (CVPR), 2017

Predicting floods with Flickr tags

Nataliya Tkachenko , Stephen Jarvis, Rob Procter

https://doi.org/10.1371/journal.pone.0172870

http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0172870

Using deep learning to quantify the beauty of outdoor places

Chanuki Illushka Seresinhe, Tobias Preis, Helen Susannah Moat

http://dx.doi.org/10.1098/rsos.170170
Published in Royal Society Open Science. Direct link http://rsos.royalsocietypublishing.org/content/4/7/170170

The shape variational autoencoder: A deep generative model of part-segmented 3D objects

Charlie Nash, Christopher K.I. Williams

Computer Graphics Forum 36(5) (2017)
Accepted version of the paper to appear in Computer Graphics Forum 36(5) (2017), presented at the Symposium on Geometry Processing, July 2017.

Uncovering Wireless Blackspots using Twitter Data

Guo W, Zhang J

http://digital-library.theiet.org/content/journals/10.1049/el.2017.0409

http://digital-library.theiet.org/content/journals/10.1049/el.2017.0409

Urban Analytics: Multiplexed and Dynamic Community Networks

Guo W, Mosquera G, Law S, Johnson S, Liakata M, Wilson A

https://arxiv.org/abs/1706.05535

https://arxiv.org/abs/1706.05535

The True Cost of Stochastic Gradient Langevin Dynamics

Nagapetyan T, Duncan AB, Hasenclever L, Vollmer SJ, Szpruch L, Zygalakis K

https://arxiv.org/abs/1706.02692

https://arxiv.org/abs/1706.02692

Bayesian Probabilistic Numerical Methods

Cockayne J, Oates CJ, Sullivan T, Girolami M.

https://arxiv.org/abs/1702.03673

https://arxiv.org/abs/1702.03673

Bayesian Probabilistic Numerical Methods for Industrial Process Monitoring.

Oates CJ, Cockayne J, Robert GA.

https://arxiv.org/abs/1707.06107

https://arxiv.org/abs/1707.06107

Probabilistic Numerical Methods for PDE-constrained Bayesian Inverse Problems

Cockayne J, Oates CJ, Sullivan T, Girolami M

dx.doi.org/10.1063/1.4985359

http://aip.scitation.org/doi/abs/10.1063/1.4985359

On the Sampling Problem for Kernel Quadrature

Briol FX, Oates CJ, Cockayne J, Chen, WY, Girolami M

arxiv.org/abs/1706.03369

https://arxiv.org/abs/1706.03369

Multilevel Monte Carlo for Reliability Theory

Aslett LJM, Nagapetyan T, Vollmer SJ

DOI: 10.1016/j.ress.2017.03.003

http://www.sciencedirect.com/science/article/pii/S0951832016302551

Algorithms for Learning Sparse Additive Models with Interactions in High Dimensions

Hemant Tyagi, Anastasios Kyrillidis, Bernd Gärtner, Andreas Krause arXiv:1605.00609 Please note that the following paper: https://arxiv.org/abs/1605.00609 has been accepted for publication in the journal: Information and Inference, a journal of the IMA.

Ontology−Mediated Queries for Probabilistic Databases

Patrick Hohenecker and Thomas Lukasiewicz arXiv:1705.10342
Deep Learning for Ontology Reasoning. May 2017.

Location−Aware News Recommendation Using Deep Localized Semantic Analysis

Cheng Chen‚ Thomas Lukasiewicz‚ Xiangwu Meng and Zhenghua Xu dx.doi.org/10.1007/978-3-319-55753-3_32
In Selçuk Candan‚ Lei Chen and Torben Bach Pedersen, editors,
Proceedings of the 22nd International Conference on Database Systems for
Advanced Applications‚ DASFAA 2017‚ Suzhou‚ China‚ March 27−30‚ 2017.
Pages 507–524. Springer. 2017.

Location−Aware Personalized News Recommendation with Deep Semantic Analysis

Cheng Chen‚ Xiangwu Meng‚ Zhenghua Xu and Thomas Lukasiewicz doi.org/10.1109/ACCESS.2017.2655150
In IEEE Access. Vol. 5. Pages 1624–1638. January, 2017.

Many Facets of Reasoning Under Uncertainty‚ Inconsistency‚ Vagueness‚ and Preferences: A Brief Survey

Gabriele Kern−Isberner and Thomas Lukasiewicz doi.org/10.1007/s13218-016-0480-6
In Künstliche Intelligenz. Vol. 31. No. 1. Pages 9–13.

Most Probable Explanations for Probabilistic Database Queries

İsmail İlkan Ceylan‚ Stefan Borgwardt and Thomas Lukasiewicz In Carles Sierra, editor, Proceedings of the 26th International Joint Conference on Artificial Intelligence‚ IJCAI 2017‚ Melbourne‚ Australia‚ August 19−25‚ 2017. IJCAI/AAAI Press. August, 2017.
In Carles Sierra, editor, Proceedings of the 26th International Joint Conference
on Artificial Intelligence‚ IJCAI 2017‚ Melbourne‚ Australia‚ August
19−25‚ 2017. IJCAI/AAAI Press. August, 2017.

Query Answering in Ontologies Under Preference Rankings.

İsmail İlkan Ceylan‚ Thomas Lukasiewicz‚ Rafael Peñaloza and Oana Tifrea−Marciuska In Carles Sierra, editor, Proceedings of the 26th International Joint Conference on Artificial Intelligence‚ IJCAI 2017‚ Melbourne‚ Australia‚ August 19−25‚ 2017. IJCAI/AAAI Press. August, 2017.
In Carles Sierra, editor, Proceedings of the 26th
International Joint Conference on Artificial Intelligence‚ IJCAI 2017‚
Melbourne‚ Australia‚ August 19−25‚ 2017. IJCAI/AAAI Press. August, 2017.

Tag−Aware Personalized Recommendation Using a Hybrid Deep Model with Negative Sampling

Zhenghua Xu‚ Thomas Lukasiewicz‚ Cheng Chen‚ Yishu Miao and Xiangwu Meng In Carles Sierra, editor, Proceedings of the 26th International Joint Conference on Artificial Intelligence‚ IJCAI 2017‚ Melbourne‚ Australia‚ August 19−25‚ 2017. IJCAI/AAAI Press
In Carles Sierra, editor, Proceedings of the 26th International Joint
Conference on Artificial Intelligence‚ IJCAI 2017‚ Melbourne‚ Australia‚
August 19−25‚ 2017. IJCAI/AAAI Press

The Unreasonable Effectiveness of Random Orthogonal Embeddings

K. Choromanski*, M. Rowland* and A. Weller. [*equal contribution]. arXiv:1703.00864v2 https://arxiv.org/pdf/1703.00864.pdf

On fairness, diversity and randomness in algorithmic decision making

N. Grgic-Hlaca, M. Zafar, K. P. Gummadi and A. Weller

https://arxiv.org/abs/1706.10208

FAT/ML Workshop at KDD, August 2017. 

https://arxiv.org/abs/1706.10208

From parity to preference-based notions of fairness in classification

M. Zafar, I. Valera, M. Rodriguez, K. P. Gummadi and A. Weller.

arXiv:1707.00010

FAT/ML Workshop at KDD, August 2017 [selected for oral presentation].

https://arxiv.org/abs/1707.00010

Challenges for Transparency

A. Weller.

Workshop on Human Interpretability in Machine Learning (WHI) at ICML, August 2017.

https://arxiv.org/abs/1708.01870

[best paper award runner up]

 

Conditions beyond treewidth for tightness of higher-order LP relaxations

M. Rowland, A. Pacchiano and A. Weller.

In Artificial Intelligence and Statistics (AISTATS), 2017

In Artificial Intelligence and Statistics (AISTATS), 2017. Poster 
Will also be presented by Aldo Pacchiano at the International Conference on Principles and Practice of Constraint Programming (CP), 2017. 

http://mlg.eng.cam.ac.uk/adrian/conditions.pdf

Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning

R. McAllister, Y. Gal, A. Kendall, M. van der Wilk, A. Shah, R. Cipolla and A. Weller

International Joint Conference on Artificial Intelligence (IJCAI), 2017.

https://www.ijcai.org/proceedings/2017/661

Lost relatives of the Gumbel trick

M. Balog, N. Tripuraneni, Z. Ghahramani and A. Weller

In the International Conference on Machine Learning (ICML) 2017

http://matejbalog.eu/research/lost_relatives_of_the_gumbel_trick.pdf

In the International Conference on Machine Learning (ICML) 2017

[best paper award honourable mention]

Learning Continuous Semantic Representations of Symbolic Expressions

Miltiadis Allamanis, Pankajan Chanthirasegaran, Pushmeet Kohli, Charles Sutton arXiv:1611.01423 https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Farxiv.org%2Fabs%2F1611.01423&data=02%7C01%7Cpublications%40turing.ac.uk%7C3e63047d62664c1ebeaf08d4c6bb26b9%7C4395f4a7e4554f958a9f1fbaef6384f9%7C0%7C0%7C636351954489275999&sdata=SR4JY5bjCg08IOufhqVf1lsSBA%2Frh9A07bcCEshX4f4%3D&reserved=0

Towards a Fairer Gig Economy

Graham, M and Shaw, J. (eds). 2017. http://ia601503.us.archive.org/5/items/Towards-a-Fairer-Gig-Economy/Towards_A_Fairer_Gig_Economy.pdf http://www.markgraham.space/blog/2017/7/10/towards-a-fairer-gig-economy

A Bayesian approach to multiscale inverse problems with on-the-fly scale determination

Ellam, L., Zabaras, N., & Girolami, M. (2016) https://doi.org/10.1016/j.jcp.2016.08.031 Journal of Computational Physics326, 115–140. link: http://www.sciencedirect.com/science/article/pii/S0021999116303886

Geometric MCMC for Infinite-Dimensional Inverse Problems

Beskos, A., Girolami, M., Lan, S., Farrell, P. E., & Stuart, A. M. (2017) DOI:10.1016/j.jcp.2016.12.041 Journal of Computational Physics335, 327–351. link 1: http://www.sciencedirect.com/science/article/pii/S0021999116307033 link 2: https://arxiv.org/abs/1606.06351

Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees

Briol, F.-X., Oates, C. J., Girolami, M., & Osborne, M. A. (2015) arXiv:1506.02681v3 In Advances In Neural Information Processing Systems 28 (pp. 1162--1170). link 1: https://papers.nips.cc/paper/5749-frank-wolfe-bayesian-quadrature-probabilistic-integration-with-theoretical-guarantees link 2: https://arxiv.org/pdf/1506.02681.pdf

Bayesian Probabilistic Numerical Methods

Cockayne, J., Oates, C., Sullivan, T., & Girolami, M. (2017) arXiv:1701.04006 link: https://arxiv.org/abs/1702.03673

Probabilistic Meshless Methods for Partial Differential Equations and Bayesian Inverse Problems

Cockayne, J., Oates, C. J., Sullivan, T., & Girolami, M. (2016) arXiv:1605.07811 link: https://arxiv.org/abs/1605.07811

Convergence Rates for a Class of Estimators Based on Stein’s Identity

Oates, C. J., Cockayne, J., Briol, F.-X., & Girolami, M. (2016). arXiv:1603.03220 link: https://arxiv.org/abs/1603.03220

Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models

Oates, C. J., Niederer, S., Lee, A., Briol, F.-X., & Girolami, M. (2016)

Advances in Neural Information Processing Systems (NIPS 2017).

link: https://arxiv.org/abs/1606.06841

On the Sampling Problem for Kernel Quadrature

Briol, F.-X., Oates, C. J., Cockayne, J., & Girolami, M. (2017) arXiv:1706.03369v1 Proceedings of the International Conference on Machine Learning. link: https://arxiv.org/abs/1706.03369

Geometry and Dynamics for Markov Chain Monte Carlo

Barp, A., Briol, F.-X., Kennedy, A. D., & Girolami, M. (2018) arXiv:1705.02891v1 Annual Reviews in Statistics and Its Applications, 5.  link 1: https://arxiv.org/abs/1705.02891 link 2: http://www.annualreviews.org/doi/abs/10.1146/annurev-statistics-031017-100141

Algorithms for Learning Sparse Additive Models with Interactions in High Dimensions

Hemant Tyagi, Anastasios Kyrillidis, Bernd Gärtner, Andreas Krause arXiv:1605.00609v3 https://arxiv.org/abs/1605.00609

Digital Hegemonies: The Localness of Search Engine Results

Andrea Ballatore, Mark Graham & Shilad Sen http://dx.doi.org/10.1080/24694452.2017.1308240 http://www.tandfonline.com/doi/full/10.1080/24694452.2017.1308240

Engagement in the Knowledge Economy: Regional Patterns of Content Creation with a Focus on Sub-Saharan Africa.

Ojanperrä, A., Graham, M., Straumann, R., De Sabbata, S., and Zook, M. 2017. Information Technologies and International Development. 13. 33-51.

Multiple Systems Estimation (or Capture-recapture Estimation) to Inform Public Policy

Bird, S. M. and King, R. https://doi.org/10.1146/annurev-statistics-031017-100641 http://www.annualreviews.org/doi/10.1146/annurev-statistics-031017-100641

Normalizing single-cell RNA sequencing data: challenges and opportunities

Catalina A Vallejos, Davide Risso, Antonio Scialdone, Sandrine Dudoit & John C Marioni doi:10.1038/nmeth.4292 https://www.nature.com/nmeth/journal/v14/n6/full/nmeth.4292.html

FilteredWeb: A Framework for the Automated Search-Based Discovery of Blocked URLs

Alexander Darer, Oliver Farnan, Joss Wright arXiv:1704.07185 https://arxiv.org/abs/1704.07185

What to Expect When You Are Expecting on the Grassmannian

A. Eftekhari, L. Balzano, and M. Wakin DOI: 10.1109/LSP.2017.2684784 http://ieeexplore.ieee.org/document/7883935/

Link to the (free of charge) arXiv copy: https://arxiv.org/abs/1611.07216

A robust parallel algorithm for combinatorial compressed sensing

Rodrigo Mendoza-Smith, Jared Tanner, Florian Wechsung arXiv:1704.09012 https://arxiv.org/abs/1704.09012

Expander ℓ0-decoding

Rodrigo Mendoza-Smith, Jared Tanner https://doi.org/10.1016/j.acha.2017.03.001 http://www.sciencedirect.com/science/article/pii/S1063520317300210

Profinite Techniques for Probabilistic Automata and the Markov Monoid Algorithm

Nathanaël Fijalkow https://doi.org/10.1016/j.tcs.2017.04.006 http://www.sciencedirect.com/science/article/pii/S030439751730316X

Analysis of free text in electronic health records for identification of cancer patient trajectories

Kasper Jensen, Cristina Soguero-Ruiz, Karl Oyvind Mikalsen, Rolv-Ole Lindsetmo, Irene Kouskoumvekaki, Mark Girolami, Stein Olav Skrovseth & Knut Magne Augestad doi:10.1038/srep46226 https://www.nature.com/articles/srep46226

Data exploration through dot-driven development

Tomas Petricek DOI: 10.4230/LIPIcs.DRAFT.2016.23 http://tomasp.net/academic/papers/pivot/pivot-ecoop17.pdf

Predicting floods with Flickr tags

Nataliya Tkachenko , Stephen Jarvis, Rob Procter https://doi.org/10.1371/journal.pone.0172870 http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0172870

Aging increases cell-to-cell transcriptional variability upon immune stimulation

Celia Pilar Martinez-Jimenez, Nils Eling, Hung-Chang Chen, Catalina A. Vallejos, Aleksandra A. Kolodziejczyk, Frances Connor, Lovorka Stojic, Timothy F. Rayner, Michael J. T. Stubbington, Sarah A. Teichmann, Maike de la Roche, John C. Marioni, Duncan T. Odom DOI: 10.1126/science.aah4115 http://science.sciencemag.org/content/355/6332/1433 Press Releases:

http://www.cam.ac.uk/research/news/ageing-leads-to-breakdown-in-cell-coordination

https://www.ebi.ac.uk/about/news/press-releases/ageing-cell-coordination-breakdown

Incorporating unobserved heterogeneity in Weibull survival models: A Bayesian approach

Catalina A. Vallejos, Mark F.J. Steel https://doi.org/10.1016/j.ecosta.2017.01.005 http://www.sciencedirect.com/science/article/pii/S2452306217300072

Bayesian survival modelling of university outcomes

Catalina A. Vallejos, Mark F. J. Steel DOI: 10.1111/rssa.12211 http://onlinelibrary.wiley.com/doi/10.1111/rssa.12211/full

Digital labour and development: impacts of global digital labour platforms and the gig economy on worker livelihoods

Mark Graham, Isis Hjorth, Vili Lehdonvirta DOI: https://doi.org/10.1177/1024258916687250 http://journals.sagepub.com/eprint/3FMTvCNPJ4SkhW9tgpWP/full

Understanding and coping with extremism in an online collaborative environment: A data-driven modeling

Csilla Rudas, Olivér Surányi, Taha Yasseri, János Török http://dx.doi.org/10.1371/journal.pone.0173561 http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0173561

Quantifying the diversity of news around stock market moves. Journal of Network Theory in Finance

Chester Curme, Ying Daisy Zhuo, Helen Susannah Moat and Tobias Preis 2017 DOI: 10.21314/JNTF.2017.027 http://www.risk.net/media/download/946536

Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation

S. Wachter, B. Mittelstadt, L. Floridi December 28, 2016 SSRN: https://ssrn.com/abstract=2903469 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2903469

Even good bots fight: The case of Wikipedia

M Tsvetkova, R García-Gavilanes, L Floridi, T Yasseri http://dx.doi.org/10.1371/journal.pone.0171774 http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0171774

An Informational Right to the City? Code, Content, Control, and the Urbanization of Information

J. Shaw, M. Graham 2017 DOI: 10.1111/anti.12312 http://onlinelibrary.wiley.com/doi/10.1111/anti.12312/full

Miscomputation in software: Learning to live with errors

T. Petricek. 2017 The Art, Science, and Engineering of Programming, Issue 2. http://programming-journal.org/2017/1/14/

Goal-based composition of scalable hybrid analytics for heterogeneous architectures

P. Coetzee, S.A. Jarvis 2016 http://dx.doi.org/10.1016/j.jpdc.2016.11.009 http://www.sciencedirect.com/science/article/pii/S0743731516301666

Foreign-language Reviews: Help or Hindrance?

Scott A. Hale, Irene Eleta DOI: 10.1145/3025453.3025575 https://arxiv.org/abs/1702.00210

Quantifying scenic areas using crowdsourced data

Chanuki Illushka Seresinhe, Helen Susannah Moat, Tobias Preis https://doi.org/10.1177/0265813516687302 http://journals.sagepub.com/doi/10.1177/0265813516687302

Understanding Spatial Media

Graham, M. 2017. (Chapter) Digitally Augmented Geographies. In Understanding Spatial Media. eds. Kitchin, R., Lauriault, T. P., and Wilson, M. W. London: Sage. 44-55. https://us.sagepub.com/en-us/nam/understanding-spatial-media/book245915#contents

Local Geographies of Digital Inequality

Grant Blank, Mark Graham, Claudio Calvino https://doi.org/10.1177/0894439317693332 http://journals.sagepub.com/doi/pdf/10.1177/0894439317693332

Using Message Logs and Resource Use Data for Cluster Failure Diagnosis

Edward Chuah, Arshad Jhumka, James C. Browne, Nentawe Gurumdimma, Sai Narasimhamurthy, Bill Barth 23rd IEEE International Conference on High Performance Computing, Data, and Analytics https://doi.org/10.1109/HiPC.2016.035

What the success of brain imaging implies about the neural code

Olivia Guest; Bradley C Love http://dx.doi.org/10.7554/eLife.21397 https://elifesciences.org/content/6/e21397

Phenotiki: An open software and hardware platform for affordable and easy image-based phenotyping of rosette-shaped plants

Massimo Minervini, Mario Valerio Giuffrida, Pierdomenico Perata, Sotirios A. Tsaftaris (2016) The Plant Journal, 2017. In press. http://onlinelibrary.wiley.com/doi/10.1111/tpj.13472/full

Coherency-maximizing exploration in the supermarket

Peter S. Riefer, Rosie Prior, Nicholas Blair, Giles Pavey & Bradley C. Love (2016) Nature Human Behaviour, Article number: 0017 (2017) doi:10.1038/s41562-016-0017 http://www.nature.com/articles/s41562-016-0017

Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets

Fernando Chirigati, Harish Doraiswamy, Theodoros Damoulas, Juliana Freire (2016) SIGMOD '16 Proceedings of the 2016 International Conference on Management of Data, Pages 1011-1025, ISBN: 978-1-4503-3531-7 doi>10.1145/2882903.2915245 http://dl.acm.org/citation.cfm?id=2915245

Input-Output Non-Linear Dynamical Systems applied to Physiological Condition Monitoring

Konstantinos Georgatzis, Christopher K.I. Williams and Christopher Hawthorne (2016) Proc Machine Learning in Health Care, JMLR W&C Track Volume 56, 2016 http://www.jmlr.org/proceedings/papers/v56/Georgatzis16.pdf

Predicting Patient State-of-Health using Sliding Window and Recurrent Classifiers

Adam McCarthy, Christopher K.I. Williams (2016) NIPS 2016 Workshop on Machine Learning for Health http://homepages.inf.ed.ac.uk/ckiw/postscript/ml4hc-final-20161201.pdf 

What’s the good of a science platform?

John Gallacher (2016) Philosophical Translations of the Royal Society, volume 374, issue 2083. http://rsta.royalsocietypublishing.org/content/374/2083/20160127

The ethics of algorithms: Mapping the debate

Brent Daniel Mittelstadt, Patrick Allo, Mariarosaria Taddeo, Sandra Wachter, Luciano Floridi (2016) Big Data & Society, 3 (2) 2053951716679679; DOI: 10.1177/2053951716679679 http://bds.sagepub.com/content/3/2/2053951716679679.full.pdf+html

At the Crossroads: Lessons and Challenges in Computational Social Science

Javier Borge-Holthoefer, Yamir Moreno, Taha Yasseri, eds. (2016) Lausanne: Frontiers Media, doi: 10.3389/978-2-88945-021-3. http://journal.frontiersin.org/researchtopic/3623/at-the-crossroads-lessons-and-challenges-in-computational-social-science

Control functionals for Monte Carlo integration

Chris J.Oates, Mark Girolami and Nicolas Chopin (2016) J.R.Statist.Soc.B, arXiv:1410.2392 [stat.ME]. https://arxiv.org/pdf/1410.2392v5.pdf

Probabilistic Integration: A Role for Statisticians in Numerical Analysis?

François-Xavier Briol, Chris. J. Oates, Mark Girolami, Michael A. Osborne and Dino Sejdinovic (2016) Cornell University Library, arXiv:1512.00933v2 [stat.ML]. https://arxiv.org/pdf/1512.00933v5.pdf

Investment consequences of the Paris climate agreement

Howard Covington (2016) Journal of Sustainable Finance & Investment, DOI:10.1080/20430795.2016.1196556.

A Biased Review of Biases in Twitter Studies on Political Collective Action

Peter Cihon and Taha Yasseri (2016) Frontiers in Physics, 4:34. doi: 10.3389/fphy.2016.00034 http://journal.frontiersin.org/article/10.3389/fphy.2016.00034/full

The ethics of data and of data science: an economist’s perspective

Jonathan Cave (2016) Philosophical Translations of the Royal Society, volume 374, issue 2083. http://rsta.royalsocietypublishing.org/content/374/2083/20160117

Data science ethics in government

Cat Drew (2016) Philosophical Translations of the Royal Society, volume 374, issue 2083. http://rsta.royalsocietypublishing.org/content/374/2083/20160119

The opportunities and ethics of big data: practical priorities for a national Council of Data Ethics

Olivia Varley-Winter, Hetan Shah (2016) Philosophical Translations of the Royal Society, volume 374, issue 2083. http://rsta.royalsocietypublishing.org/content/374/2083/20160116

Data philanthropy and the design of the infraethics for information societies

Mariarosaria Taddeo (2016) Philosophical Translations of the Royal Society, volume 374, issue 2083. http://rsta.royalsocietypublishing.org/content/374/2083/20160113

The ethics of big data as a public good: which public? Whose good?

Linnet Taylor (2016) Philosophical Translations of the Royal Society, volume 374, issue 2083. http://rsta.royalsocietypublishing.org/content/374/2083/20160126

The ethics of smart cities and urban science

Rob Kitchin (2016) Philosophical Translations of the Royal Society, volume 374, issue 2083. http://rsta.royalsocietypublishing.org/content/374/2083/20160115

Beyond privacy and exposure: ethical issues within citizen-facing analytics

Peter Grindrod (2016) Philosophical Translations of the Royal Society, volume 374, issue 2083.  http://rsta.royalsocietypublishing.org/content/374/2083/20160132

Privacy is an essentially contested concept: a multi-dimensional analytic for mapping privacy

Deirdre K. Mulligan, Colin Koopman, Nick Doty (2016) Philosophical Translations of the Royal Society, volume 374, issue 2083.  http://rsta.royalsocietypublishing.org/content/374/2083/20160118

Locating ethics in data science: responsibility and accountability in global and distributed knowledge production systems

Sabina Leonelli (2016) Philosophical Translations of the Royal Society, volume 374, issue 2083.  http://rsta.royalsocietypublishing.org/content/374/2083/20160122

Compelling truth: legal protection of the infosphere against big data spills

Burkhard Schafer (2016) Philosophical Translations of the Royal Society, volume 374, issue 2083.  http://rsta.royalsocietypublishing.org/content/374/2083/20160114

Faultless responsibility: on the nature and allocation of moral responsibility for distributed moral actions

Luciano Floridi (2016) Philosophical Translations of the Royal Society, volume 374, issue 2083.  http://rsta.royalsocietypublishing.org/content/374/2083/20160112

Facilitating the ethical use of health data for the benefit of society: electronic health records, consent and the duty of easy rescue

Sebastian Porsdam Mann, Julian Savulescu, Barbara J. Sahakian (2016) Philosophical Translations of the Royal Society, volume 374, issue 2083.  http://rsta.royalsocietypublishing.org/content/374/2083/20160130

The dynamics of big data and human rights: the case of scientific research

Effy Vayena, John Tasioulas (2016) Philosophical Translations of the Royal Society, volume 374, issue 2083.  http://rsta.royalsocietypublishing.org/content/374/2083/20160129

What is data ethics?

Luciano Floridi, Mariarosaria Taddeo (2016) Philosophical Translations of the Royal Society, volume 374, issue 2083.  http://rsta.royalsocietypublishing.org/content/374/2083/20160360#sec-1