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Prof Advaith Siddharthan

Professor Of Computer Science And Society

Knowledge Media Institute

advaith.siddharthan@open.ac.uk

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Biography

Professional biography

I read Physics at the University of Delhi, and Computer Science at the University of Cambridge before gained my PhD in Computational Linguistics at the University of Cambridge (2003). After Postdoctoral research at Columbia University and the University of Cambridge, I took up my first faculty position at the University of Aberdeen in 2009 before joining the Open University’s Knowledge Media Institute in 2017 as a Reader. I have been Professor of Computer Science and society since 2022. I have over 80 peer-reviewed publications and have been PI on grants from UKRI, EPSRC, NERC and ESRC and Co-I on grants from EPSRC,  ESRC, H2020, National Geographic and NERC. I currently work on several research projects developing technologies for biodiversity citizen science, including to make these relevant and accessible to primary and secondary schools, while continuing to dabble in disparate topics in Computational Linguistics. 

Research interests

My research intersects Citizen Science, Artificial Intelligence, Data Science, and Sustainability Education. I develop socially responsible AI technologies that bridge the divide between professional scientists and lay public, facilitate meaningful public engagement with science and foster attitudinal and behavioural change, particularly around biodiversity issues. I am the academic lead for four citizen science projects at the OU:

My current research investigates science learning within such citizen science projects, especially how citizens can learn alongside artificial intelligence from data. More details of my projects can be found at the Citizen Science and Artificial Intelligence group pages or on my Personal Webpages.

Impact and engagement

Current projects integrate citizen science learning around pollinators into school curricula in the UK and Italy, collecting and analysing data while encouraging schools and students to create habitats and act as pollinator advocates in society. This research is referenced in the UKRI public engagement strategy document and was showcased during Bees’ Needs Week 2020, a public engagement event coordinated by DEFRA.

I previously led the development of novel technologies aimed at public engagement with nature conservation schemes, co-created in partnership with leading UK charities, the Royal Society for Protection of Birds, Bumblebee Conservation Trust and Royal Horticultural Society. Two projects, Blogging Birds (redkite.abdn.ac.uk) and BeeWatch (beewatch.abdn.ac.uk) were among the 8 selected to feature in the RCUK impact summary report for its Digital Economy theme “Celebrating Success in the Digital Economy". Blogging Birds demonstrated the ability to generate complex automated data-driven texts, received an EPSRC prize (Telling Tales of Engagement Competition), and resulted in a publication in the prestigious Communications of the ACM (Siddharthan et al., 2019). BeeWatch was an online citizen science initiative that generated valuable bumblebee records across the UK by integrating artificial intelligence and data science into citizen science.  Following publication of our results on bumblebee feeding patterns in Nature Scientific Reports in 2020, we are working with the RHS to use citizen science data to improve pollinator-friendly planting lists.

External collaborations

Key research collaborators on our citizen science projects include University of Aberdeen, Swedish University of Agricultural Sciences, University of Edinburgh and Imperial College London. I work with a much larger set of partners, within and outside of academia, including on European projects such as https://cos4cloud-eosc.eu/.

Projects

SENSE: Sensory Explorations of Nature in School Environments

Studies show that fewer than a quarter of British children regularly use their local patch of nature and many suffer from 'Nature Deficit Disorder', impacting physical and emotional health. Recently, analysis of the impacts of the COVID-19 outbreak on children has shown a critical link between low educational attainment and reduced access to outdoor spaces for children living in poverty. Crucially, unequal access to green space for children and communities aligns with a general pattern of nature degradation, with the 2019 State of Nature report concluding that the UK is among the world's most nature depleted countries, and unable to meet international commitments such as the Convention on Biological Diversity's Aichi Targets. We believe that jointly addressing iniquities with respect to children's access to science learning, nature and the outdoors is key for advancing the discourse around environmental sustainability. Sensory input, including those of touch, smell and sound, are known to be important to early science learning. New haptic technologies based on variable friction allow users to feel textures on a touch screen. We propose developing such technologies to create a platform for sensory explorations of nature. We will bring together our interdisciplinary expertise across Computer Science, Education, Ecology and Science Communication to research touch and haptic interfaces for bridging the known divides with respect to children's access to nature and the outdoors and science learning. We emphasise school grounds as spaces that can be developed through wildlife-friendly gardening practices as equitable spaces for encounters with nature for all pupils, and develop a citizen science project to observe nature in such spaces. Our research then aims to augment observation outdoors through developing variable-friction haptic interfaces that allow you to feel texture when touching an image on the screen. Our aim is to enhance, rather than distract from or replace, experiences of and curiosity about nature. We expect the touch interfaces we develop to be useful for (a) drawing attention to nature, e.g. a child may have access to real trees but not be minded to touch them or question why they have different barks; (b) making the untouchable tactile, e.g. through touching images of a bee or badger; (c) playing with scale, e.g. feeling images at microscopic (e.g. leaf veins) or macroscopic resolutions, or comparing textures of leaves over seasons; and (d) continuing explorations of nature even when indoors, to sustain interest. We will explore in depth in a multidisciplinary manner the scientific and philosophical issues that stem from tactile but digital human-computer interactions around nature. For example, does the inclusion of sensory input help pupils in distinguishing species (e.g. plant species through the textures of tree bark or leaves), whether digital tactile experiences generate emotions and feelings that are qualitatively or quantitatively different from just looking at the image, and whether they can help reconnect pupils with nature and encourage tactile explorations outdoors. We seek to amplify the capacity of school pupils - from a diversity of backgrounds - to influence and participate in scientific inquiry and conservation action, by engaging in a "slowed down" multifaceted scientific, artistic and sensory observation of nature biodiversity within their school grounds. In the process they will learn about the circular economy and explore ideas from permaculture for redesigning their school grounds to support wildlife and also provide themselves with a richer sensory experience. We will develop a first of its kind online museum of citizen science for pupils to publish and share their biodiversity stories from school grounds.

Feeling the untouchable: Haptic touch experiences for naturalistic learning

Our transformational vision is to bring to life Learning through Touch, in the natural world and through digital haptic interfaces, fostering a ‘naturalistic intelligence’ and creating affective connections between what we learn and their personal and societal relevance. Science education has struggled to utilise touch adequately beyond the early years, as concepts and models become more abstract, but also the arts emphasise to visual and in many contexts discourage touching. We suggest that reclaiming the value of touch can bring significant innovation in the way young people can come to learn, but also how they understand their urban and natural surroundings, and specifically, the interface between the two. We will augment natural touch with new haptic interfaces to smartphone and tablet touchscreens based on vibrotactile actuators, that will allow students to ‘touch the otherwise untouchable’, such as textures from nature at different magnifications, or electric fields and currents to help them construct conceptual models. Observing and understanding qualitative perceptions of scale, density, texture and pattern crosscut topics in science and the arts, and arts-based methods will be integrated with science learning as part of a STEAM (STEM + the Arts) approach to education. We will also use touch to open the way for schools to participate in emergent areas of radical citizen science, which advocate a more bottom-up and inclusive approach, sensitive to local context and allowing imaginative flexibility in responding to the new questions of a changing global environment. Our research objectives are to: 1. Develop the possibilities of science learning through digital touch across the primary and secondary school syllabus in topics where students are expected to develop conceptual models of abstract concepts; e.g. topics involving fields and flows, starting with Electric Circuits, where we will enable students to touch electricity on circuits shown on a screen to help construct conceptual models accounting for current, voltage, and resistance. 2. Co-design touch-centred Citizen Science methods for school grounds that use textures from nature to develop pattern-led thinking about underlying structures of natural artefacts. Touch (in nature and through digital interfaces) will be used as a starting point to stimulate progressive inquiries about how plants and animals respond to a changing environment. Schools will then modify their grounds in support of wildlife based on their inquiries. 3. Co-design interfaces for creating and experiencing patterns and textures in art through touch, including interfaces to feel existing artworks, and a sketching tool that allows students to feel drawn lines and textures as they draw them. We will explore Edinburgh Collections’ archive of fieldwork sketches from Charles Lyell and Charles Darwin, combining geological and evolutionary observations as part of a STEAM approach. 4. Understand the impact of these digital and natural touch interventions on cognition, learning, interest, creativity and socialisation with respect to science learning and artistic exploration, including for students with visual impairments, for whom touch is central to sensing the world, and for creating, interacting with and sharing artistic creations. Through pursuing these objectives, we will probe the affective possibilities of a new sensing science, which turns abstract into concrete and distant into intimate. As part of this, we will revolutionise citizen science practice for school students, initiating intuitive bottom-up scientific inquiries through affective methods that lead to attitudinal change and environmentally friendly behaviours. At the same time, we will also advance computing research by understanding the strengths and weaknesses of haptic digital interfaces in relation to tactile learning with physical props, and developing best practice for designing haptic interfaces for learning.

Publications

Journal Article

To touch is to know’: haptic inquiry for primary school citizen science (2025)

Image Recognition as a ‘Dialogic AI Partner’ within Biodiversity Citizen Science - an empirical investigation (2024)

The Human Affectome (2024)

Updating Species Dictionaries in the Citizen Science Platform iSpotnature.org with the Help of Its User Community and ChecklistBank (2024)

X-Polli:Nation: Contributing towards sustainable development goals through school-based pollinator citizen science (2023)

Citizen science data reveals the need for keeping garden plant recommendations up-to-date to help pollinators (2020)

Blogging Birds: Telling informative stories about the lives of birds from telemetric data (2019)

Designing online species identification tools for biological recording: the impact on data quality and citizen science learning (2019)

From citizen science to citizen action: analysing the potential for a digital platform to cultivate attachments to nature (2019)

Extractive and Abstractive Sentence Labelling of Sentiment-bearing Topics (2019)

SaferDrive: an NLG-based Behaviour Change Support System for Drivers (2018)

Recognizing cited facts and principles in legal judgements (2017)

Crowdsourcing Without a Crowd: Reliable Online Species Identification Using Bayesian Models to Minimize Crowd Size (2016)

The role of automated feedback in training and retaining biological recorders for citizen science (2016)

Automated data analysis to rapidly derive and communicate ecological insights from satellite-tag data: A case study of reintroduced red kites (2015)

Mapping species distributions: A comparison of skilled naturalist and lay citizen science recording (2015)

A survey of research on text simplification (2014)

Information status distinctions and referring expressions: An empirical study of references to people in news summaries (2011)

Interlingual annotation of parallel text corpora: a new framework for annotation and evaluation (2010)

Syntactic Simplification and Text Cohesion (2006)

Presentation / Conference

CSS: Contrastive Semantic Similarities for Uncertainty Quantification of LLMs (2024)

Seeing with hands and touching with eyes: recovering sensorial attention to nature in primary schools (2024)

“We felt the textures from nature and it gave us new ideas”: Investigating sustainability education through primary school children’s natural and digital haptic touch explorations (2023)

Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration (2023)

iSpot & AI: Integrating FASTCAT-Cloud and PI@ntNET-API in the Cos4Cloud framework (2023)

Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection (2023)

Consensus building in on-line citizen science (2022)

Confidence-Aware Calibration and Scoring Functions for Curriculum Learning (2022)

Gender equality work in a distance learning institution (2022)

Summarising Historical Text in Modern Languages (2021)

Incorporating Constraints into Matrix Factorization for Clothes Package Recommendation (2018)

Generating Summaries of Sets of Consumer Products: Learning from Experiments (2018)

Understanding how to Explain Package Recommendations in the Clothes Domain (2018)

Matrix Factorization for Package Recommendations (2017)

Should Learning Material's Selection be Adapted to Learning Style and Personality? (2017)

Automatically Labelling Sentiment-Bearing Topics with Descriptive Sentence Labels (2017)

Bumblebee friendly planting recommendations with citizen science data (2017)

Summarising News Stories for Children (2016)

Summarising the points made in online political debates (2016)

Exploring the impact of extroversion on the selection of learning materials (2016)

Scrutable Feature Sets for Stance Classification (2016)

Lexico-syntactic Text Simplification And Compression With Typed Dependencies (2014)

Text simplification using synchronous dependency grammars: Generalising automatically harvested rules (2014)

Hybrid text simplification using synchronous dependency grammars with hand-written and automatically harvested rules (2014)

Investigation into Human Preference between Common and Unambiguous Lexical Substitutions (2011)

Text Simplification using Typed Dependencies: A Comparison of the Robustness of Different Generation Strategies (2011)

Corpora for the conceptualisation and zoning of scientific papers (2010)

Complex lexico-syntactic reformulation of sentences using typed dependency representations (2010)

Reformulating discourse connectives for non-expert readers (2010)

Towards discipline-independent argumentative zoning: evidence from chemistry and computational linguistics (2009)

Whose idea was this, and why does it matter? Attributing scientific work to citations (2007)

An annotation scheme for citation function (2006)

Automatic Classification of Citation Function (2006)

Generating Referring Expressions in Open Domains (2004)

Syntactic Simplification for Improving Content Selection in Multi-Document Summarization (2004)

An architecture for a text simplification system (2002)