IDO

Really proud of this work. Also with @lauragesmith @BritDavidson @Da_Racek @joinson

New research from @BathSofM @liv_brown20 reveals how potential terrorists can be identified from social media posts. The study of posts from convicted far-right terrorists identifies risk signals of terrorist action #terrorism #security bit.ly/3yoJTq0 @YvetteCooperMP

Project launched to help deliver statistics under pressure – PublicTechnology publictechnology.net/2024/07/30/edu…

📺@MakeUK_ Director of Policy @DavidgeVerity joined Professor Michael Lewis of @BathSofM & @Nick_ukmfg of @ukmfg_tv to talk through the findings of 'Manufacturing: The Facts 2024'. Listen to the full discussion here: youtube.com/watch?utm_sour… #UKmfg

🏅 Presenting the only medal table that really matters – the GDP Olympics 💰 We're only at the end of day 2, but will Fiji's impressive $14.1 billion (ppp-adjusted) per medal be topped?? #Olympics 1/2

@MakeUK_ 's 2024 Fact Card, a statistical snapshot of the state of UK manufacturing shows #ukmfg has slid from 8th to 12th in the world rankings, but Make UK's Policy Director @DavidgeVerity says this is as a result of geopolitical factors beyond our control.

Their Olympic adventure begins! Good luck to the 23 athletes who study, train, or previously attended the University. We're all cheering for you back in Bath! #Paris2024 | @TeamBath

Full discussion of the Make UK Facts and Figures and what they mean for #industrialstrategy and #ukmfg on @ukmfg_tv #TheProductionLine Monday morning with @DavidgeVerity and Professor Michael Lewis of @BathSofM. Via the @ukmfg_tv website.

The USS, which manages pensions for more than 500,000 current and retired university staff, confirmed on Thursday that it had in effect written off the value of its 20 per cent stake in Britain’s largest water utility. #genius ft.com/content/e2e459…

Finally a good-looking study on how search engines affect science. As feared, we all depend on how the engineers design the choice architecture. journals.aom.org/doi/abs/10.546… Eagerly awaiting the full paper!

Two day writing retreat with the @Bath_Digi_Lab gang! Looking forward to lots of interesting discussion and having focused time to write 😀

📢 Calling all academics! We would love to hear you views on interacting with the Government, including the types of engagement you have had and the factors impacting this. Have your say by filling out this survey: dsit.qualtrics.com/jfe/form/SV_7V…. Deadline: 5pm on 16.08.

🚨 [AI & PRIVACY] Singapore's Data Protection Authority publishes its "Proposed Guide on Synthetic Data Generation," and it's an interesting read for everyone in AI & privacy. Info & quotes: ➡ Among other topics, the proposed guide discusses a five-step approach to generating synthetic data, especially in the context of a Privacy-Enhancing Technologies (PETs) perspective: ➡ Step 1: Know your data "Before embarking on any synthetic data project, it is necessary to have a clear understanding of the purpose and use cases of the synthetic data and the source data that the synthetic data is to mimic. This will help to determine whether use of synthetic data might be relevant and identify the possible risks of using the synthetic data." ➡ Step 2: Prepare your data "To ensure that the synthetic data can meet the business objectives, organisations need to understand and identify the trends, key statistical properties, and attributerelationships in the source data that need to be preserved for analysis e.g., identify relationships between demographic characteristics of population and their health conditions." ➡ Step 3: Generate synthetic data "There are many different methods to generate synthetic data, for example, sequential tree-based synthesisers, copulas, and deep generative models (DGMs). Organisations need to consider which methods are most appropriate, based on their use cases, data objectives, and types of data. (...)Thereafter, organisations may consider splitting the source data into two separate sets e.g., 80% as training dataset, and 20% as control dataset for assessing re-identification risks of the synthetic data." ➡ Step 4: Assess re-identification risks "After the synthetic data is generated and utility measurement is assessed to be acceptable, organisations should assess and perform the re-identification risk assessment based on their internal acceptance criteria. (...). As synthetic data generally does not replicate its training data points, re-identification risk cannot be deduced directly from scrutinising whether the generated synthetic data contains any personal data." ➡ Step 5: Manage residual risks "In this final step, organisations should identify all potential residual risks and implement appropriate mitigation controls (technical, governance, and contractual) to minimise the identified risks. These risks and controls should be documented and approved by the management and key stakeholders as part of the organisation’s enterprise risk framework." ➡ It's an interesting guide, especially for those involved with AI development and Privacy-Enhancing Technologies (PETs). There is much more to read in this guide by the @PDPCSingapore, make sure to check it out below. ➡ To stay up to date with the latest developments in AI policy & regulation, join 29,300+ people who subscribe to my weekly newsletter (link below).

🚨New paper - How and why psychologists should respond to the harms associated with generative AI? Our comment led by @lauragesmith, outlines how psychologists might mobilise to anticipate and mitigate harm from gen-AI. With @AliciaGCork + Richard Owen nature.com/articles/s4427…

I am very grateful to Teobaldo Bulhões, Bruno Bruck (@bruno_bruck), Luciano Costa (@lucianoccosta90), Eduardo Queiroga (@edu_queiroga), Lara Pontes, Renata Mendes, Felipe Lemos, and Maria Battara (@Rainbow_Battarr) for helping me solve the mug delivery problem at EURO!

📣Calling all early-career researchers in social sciences! Join our FREE 5-day workshop on #LargeLanguageModels @NuffieldCollege, @UniofOxford, 23-27 September 2024! We offer in-depth lectures, coding tutorials, and collaborative research projects!🤓😍llmsforsocialscience.net

New study from Prof David Ellis (@davidaellis) shows high rates of missed GP appointments for patients with #ADHD. 'Missingness' has serious implications for patient care and needs more understanding say researchers @BathSofM @UofGlasgow @aberdeenuni bath.ac.uk/announcements/…