Presentation by David Ellis at the 1st Lancaster Data Conversations 30 January. Related to his dataset: "Estimated and Real-World Smartphone Use" available from Lancaster University Research Registry doi 10.17635/lancaster/researchdata/58
Reflections from the Pelagios Commons by Leif Isaksen, Lancaster University. http://commons.pelagios.org. Presentation at the 1st Lancaster Data Conversations 30 January 2017
These are the slides for the Faculty Fellow short talk on October 27, 2016, at the Alan Turing Institute. In this talk, I summarise my approach to missing data analysis, and explain how my work fits into an interdisciplinary context. I will add a link to the YouTube recording once it has been uploaded.
Presented to members of the Psychology department as part of the New Tricks Seminar series (February 2016)
• journal metrics using WoS and Scopus
• article level metrics in WoS, Scopus and Google Scholar, and from publishers and the differences in each. Touch on altmetrics.
• author metrics in the above. Touch on Publish or Perish
Tanya Williamson, Academic Liaison Librarian
Presentation by David Ellis at the 1st Lancaster Data Conversations 30 January. Related to his dataset: "Estimated and Real-World Smartphone Use" available from Lancaster University Research Registry doi 10.17635/lancaster/researchdata/58
Reflections from the Pelagios Commons by Leif Isaksen, Lancaster University. http://commons.pelagios.org. Presentation at the 1st Lancaster Data Conversations 30 January 2017
These are the slides for the Faculty Fellow short talk on October 27, 2016, at the Alan Turing Institute. In this talk, I summarise my approach to missing data analysis, and explain how my work fits into an interdisciplinary context. I will add a link to the YouTube recording once it has been uploaded.
Presented to members of the Psychology department as part of the New Tricks Seminar series (February 2016)
• journal metrics using WoS and Scopus
• article level metrics in WoS, Scopus and Google Scholar, and from publishers and the differences in each. Touch on altmetrics.
• author metrics in the above. Touch on Publish or Perish
Tanya Williamson, Academic Liaison Librarian
Updated 30/01/2015
This session included discussions around the value of bibliometrics for individual performance management/promotion and the REF.
What are bibliometrics?
Journal metrics
Personal metrics
Article level metrics and altmetrics
The first step to successfully handling negativity on the Internet is to identify where it's coming from. National Research Center (NRC) describes the four most common sources of Web negativity faced by local governments and shares a few tips on dealing with it.
Sign up for an upcoming Webinar on this topic at www.n-r-c.com/webinars.
Science & Community Public Engagement Workshopwellcome.trust
Presented by Clare Matterson (Director of Medicine, Society and History (MSH) at the Wellcome Trust) at the Public Engagement Workshop, 2-5 Dec. 2008, KwaZulu-Natal South Africa, http://scienceincommunity.wordpress.com/
Presented by John Young (ODI) and Laura Harper (Wellcome) at the Public Engagement Workshop, 2-5 Dec. 2008, KwaZulu-Natal South Africa, http://scienceincommunity.wordpress.com/
Updated for January 2015.
Versions of this presentation have been given at:
- Ex Libris Alma and Primo 'Solutions Day' at the Kungl. Myntkabinettet (Royal Coin Cabinet) museum, Stockholm, Tuesday 25th November 2014.
Different Media for communicating Science to different groupswellcome.trust
Presented by Derek Fish (Unizul Science Centre, South Africa) at the Public Engagement Workshop, 2-5 Dec. 2008, KwaZulu-Natal South Africa, http://scienceincommunity.wordpress.com/
Exercise at NoWAL Open Research workshop 13 June 2019, led by Lancaster University Library. Blog post about the event available at https://wp.me/p81NIC-f9
Updated 30/01/2015
This session included discussions around the value of bibliometrics for individual performance management/promotion and the REF.
What are bibliometrics?
Journal metrics
Personal metrics
Article level metrics and altmetrics
The first step to successfully handling negativity on the Internet is to identify where it's coming from. National Research Center (NRC) describes the four most common sources of Web negativity faced by local governments and shares a few tips on dealing with it.
Sign up for an upcoming Webinar on this topic at www.n-r-c.com/webinars.
Science & Community Public Engagement Workshopwellcome.trust
Presented by Clare Matterson (Director of Medicine, Society and History (MSH) at the Wellcome Trust) at the Public Engagement Workshop, 2-5 Dec. 2008, KwaZulu-Natal South Africa, http://scienceincommunity.wordpress.com/
Presented by John Young (ODI) and Laura Harper (Wellcome) at the Public Engagement Workshop, 2-5 Dec. 2008, KwaZulu-Natal South Africa, http://scienceincommunity.wordpress.com/
Updated for January 2015.
Versions of this presentation have been given at:
- Ex Libris Alma and Primo 'Solutions Day' at the Kungl. Myntkabinettet (Royal Coin Cabinet) museum, Stockholm, Tuesday 25th November 2014.
Different Media for communicating Science to different groupswellcome.trust
Presented by Derek Fish (Unizul Science Centre, South Africa) at the Public Engagement Workshop, 2-5 Dec. 2008, KwaZulu-Natal South Africa, http://scienceincommunity.wordpress.com/
Exercise at NoWAL Open Research workshop 13 June 2019, led by Lancaster University Library. Blog post about the event available at https://wp.me/p81NIC-f9
Presentation given by Louise Tripp, Joshua Sendall and Hardy Schwamm at NoWAL Exchange of Experience 13 June 2019. Blog post on event available at https://wp.me/p81NIC-f9
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
Mining and mapping places with multiple names
1. Mining and mapping places with multiple names
James Butler & Christopher Donaldson
Lancaster University
2. 1901
Corpus of Lake District
Literature
1688 1789 1837
• 80 texts, comprising more than
1,500,000 words
• Mixture of canonical and non-
canonical literature about the Lake
District, mainly from c18 and c19
(78 out of 80 works)
• Mixture of genres, including
guidebooks, travelogues, novels,
poems, journals, and private letters
34 Texts
650K words
22 Texts
250K words
22 Texts
613K words
3. Sample sentence collocation: beautiful
‘Again entering the boat, we passed up the channel between Lord’s
Island the shore, from whence beautiful prospects are obtained of the
majestic form of Skiddaw, with the woods of Castlehead and
Cockshot Park in the foreground.’ (Edward Baines, A Companion to the
Lakes [1829] 121.)
±5 tokens: No place-names identified
±10 tokens: 2 place-names identified – Lord’s Island & Skiddaw
Within sentence: 4 place-names identified – Lord’s Island, Skiddaw, Castlehead &
Cockshot Park.
Average sentence length
Lake District corpus = 29.8 words
British National Corpus (BNC) = 16 words
4. from C. Grover, et al., ‘Use of the Edinburgh Geoparser for Georeferencing Digitized
Historical Collections’, Phil. Trans. R. Soc. A 368 (2010) 3875–89.
Diagram of the Edinburgh Geoparser System
8. Bowness: ‘the curved headland’, from ON bogi/OE boga ‘bow’ and ON nes/OE naess
‘headland’
*Variant Historical Spellings: Bownus, Bawnas, Bonas, Bonus, Boulness
cf. D. Whaley, A Dictionary of Lake District Place Names
(Nottingham: English Place-Name Society, 2006), 42.
9. Some of the common generic gazetteer geo-referenced issues…
Spatial misattribution.
Onomastic misassumption
Incorrect weighting
Just for the items that are found!
10. An extract of our custom manually-collected gazetteer for the corpus
Unique
ID
Topog.
Cat.
Primary Name Secondary Names Regional
Placement
CONISTON (lake):
Thurstan, Coniston Lake, Coniston Water, Thurston, Conistone, Conistone
Lake, Cunnistone Lake, Thurston Lake, Coniston Mere, Lake of Coniston,
Conis- ton, Conyngs Tun, Conyngeston, Thorstane's watter, Turstinus.
12. An extract from the latest iteration of the corpus - allowing referential
relationships to be analysed on a whole new level.
Lake, Vale, Specific - Farm, Waterfall
Notes de l'éditeur
Overview of corpus…
Our interest in finding what attributes are given to places mentioned…
The Edinburgh Geoparser: NLP tool on which we’ve relied
What the Geoparser do…
The Geoparser output a bit ropey…
Much correction required..
One of the chief reasons for the poor performance of the geoparser is place-name variation…
Geospatial relationships between environmental types as well as connective strengths between any paired locations.