An interactive workshop run by Felicity McLeister, Charlene Timewell and Ian Seath, from the professional organisation and registered charity, The Operational Research Society.
Operational Research (O.R.) uses scientific methods to improve an organisation’s effectiveness. It can address a wide range of organisational improvements – for example strategy, systems, processes, operations, decision-making etc. By using a mix of ‘soft’ techniques to understand the social and organisational context, and mathematical modelling to analyse complex situations, O.R. can help to make more effective decisions and build more productive systems based on: more complete data, consideration of all available options, careful predictions of outcomes and estimates of risk and the latest decision tools and techniques.
The workshop will includes:
· An introduction to O.R. and The OR Society.
· Career pathways into O.R. and how to gain experience, including getting involved with the O.R. in Schools initiative.
· An introduction to the Pro Bono O.R. scheme including some example case studies.
· A practical session based on a project Pro Bono O.R. carried out with RSPCA.
This event was hosted by Birkbeck Careers & Employability
Operational research- main techniques PERT and CPMvckg1987
this presentation mainly deals with operational research giving more focus on pERT and CPM techniques. this two methods are very useful and very confusing while reading but the examples in this presentation makes it very easy to understand this methods and for more study the end slide is provided with references.
OPERATIONS RESEARCH TECHNIQUES AND ITS’ APPLICATION IN HEALTHCARE SERVICE DEL...IAEME Publication
Operations Research & its applications have made noticeable contribution in the
field of healthcare since 1960. It has been used in complex decision making under
uncertainty. The prime objective of this article is to the aim of this article is to identify
the chronological development of the application of OR tools, techniques and various
models in healthcare sector. Usage of different OR tools, techniques and its trend for
optimization, planning, and decision-making are studied through a descriptive
literature review of scientific papers published between 1952 and 2016. A rising pattern
in the usage of operational models is observed with the predominance of resource
optimization approaches and strategic decision-making for healthcare sector.
Operational research- main techniques PERT and CPMvckg1987
this presentation mainly deals with operational research giving more focus on pERT and CPM techniques. this two methods are very useful and very confusing while reading but the examples in this presentation makes it very easy to understand this methods and for more study the end slide is provided with references.
OPERATIONS RESEARCH TECHNIQUES AND ITS’ APPLICATION IN HEALTHCARE SERVICE DEL...IAEME Publication
Operations Research & its applications have made noticeable contribution in the
field of healthcare since 1960. It has been used in complex decision making under
uncertainty. The prime objective of this article is to the aim of this article is to identify
the chronological development of the application of OR tools, techniques and various
models in healthcare sector. Usage of different OR tools, techniques and its trend for
optimization, planning, and decision-making are studied through a descriptive
literature review of scientific papers published between 1952 and 2016. A rising pattern
in the usage of operational models is observed with the predominance of resource
optimization approaches and strategic decision-making for healthcare sector.
Operational Research and Organizational SystemIJRES Journal
Organizational systems, as well as specific integration of social and technical systems are extremely important for the development of human society. The most part, the problems of managing these systems are reduced to operations research - a generic term for activities that define the processes involved in the functions of organizational systems, and hence the term operations research. Field of study operations research as a scientific discipline, the organizational processes and activities that are being carried out and an important determinant of the intention to find the best decisions in managing the operations undertaken to achieve the set goals of the system. The generality of operations research is reflected in the fact that apply to all types of organizational systems - commercial, industrial, agricultural, military, medical, educational, government, and the like. Users of operations research decision makers - managers, whose task is to efficiently and effectively manage organizational systems. In this paper we consider operational research and conceptual foundations that enable its effective use in solving the problem of organizational systems.
ICU Patient Deterioration Prediction : A Data-Mining Approachcsandit
A huge amount of medical data is generated every da
y, which presents a challenge in analysing
these data. The obvious solution to this challenge
is to reduce the amount of data without
information loss. Dimension reduction is considered
the most popular approach for reducing
data size and also to reduce noise and redundancies
in data. In this paper, we investigate the
effect of feature selection in improving the predic
tion of patient deterioration in ICUs. We
consider lab tests as features. Thus, choosing a su
bset of features would mean choosing the
most important lab tests to perform. If the number
of tests can be reduced by identifying the
most important tests, then we could also identify t
he redundant tests. By omitting the redundant
tests, observation time could be reduced and early
treatment could be provided to avoid the risk.
Additionally, unnecessary monetary cost would be av
oided. Our approach uses state-of-the-art
feature selection for predicting ICU patient deteri
oration using the medical lab results. We
apply our technique on the publicly available MIMIC
-II database and show the effectiveness of
the feature selection. We also provide a detailed a
nalysis of the best features identified by our
approach.
Digital Scholar Webinar: Understanding and using PROSPERO: International pros...SC CTSI at USC and CHLA
This 60-minute webinar starts with an overview of why and how PROSPERO was developed. I will then show how to search the database and how to register systematic review protocol details and keep records up to date. Reflections on the 10 years since the launch of PROSPERO and the challenges the rapidly changing digital environment now presents will also be briefly covered.
Speaker
Dr. Alison Booth Senior Research Fellow, University of York, UK
Dr. Booth joined the York Trials Unit (YTU) in October 2015. She has experience in the design and conduct of a range of research methods, in particular systematic reviews, RCTs, and methodological studies. She has a background in radiography, clinical governance and research ethics. Alison is a Senior Research Fellow in YTU and also an Advisor and Impact Lead for the NIHR Research Design Service Yorkshire and Humber (RDS YH). Her particular interests are in knowledge translation, impact and transparency in research reporting.
Validity of Instruments, Appropriateness of Designs and Statistics in Article...iosrjce
The main purpose of the study is to appraise the validity of research instruments, the appropriateness
of the research designs and the statistics used for data analyses in articles published in education journals in
Nigeria. Currently, higher institutions in Nigeria tend to prefer articles published in foreign/international
journals. Some researchers in the country also question the validity of some of the articles published in local
journals. Appropriate research designs, valid instrument and appropriate use of statisticals tools are some of
the indices that make research results credible and dependable. To assess these important variables, three
questions were posed. Journal articles published in Nigeria education Journals for last five years were selected
through accidental sampling technique. Then purposive sampling technique was used to select 132 empirical
studies. Empirical studies were selected because they are the studies that lend themselves to use of designs, data
collection with instruments and statistical analysis of data. Appraisal guides for instrument, design and
statistics were used to assess the articles. The results showed that 67% of the articles were carried out with
appropriate research designs, and in 78% of the articles, appropriate statistics were applied in data analyses.
However, only 36% of the instruments used for the study would generate data that can lead to valid
interpretation of the results. Programmes that will enhance knowledge and stills of researchers to improve the
quality of research based publications are recommended. Institutions of higher learning can help their staff in
this direction
This report summarizes the results of a campus-wide survey initiative, conducted by the Southern California Clinical and Translational Science Institute (SC CTSI), focused on the development of a clinical data warehouse for research (CDWR) and a clinical trials management system (CTMS) as well as general barriers to conducting clinical research at the University of Southern California (USC) and Children's Hospital Los Angeles (CHLA).
Learn more about SC CTSI http://www.sc-ctsi.org/
Automation of Medical Waste Separation using Advanced Technologies to Minimiz...ijtsrd
"This paper describes a shape recognition technique using boundary chain codes extracted by a method as described by Pavlidis and used an 8 connected neighbourhood. A chain code is a representation of a two dimensional contour using a one dimensional array. Feed forward neural networks were trained to recognise these chain codes. In addition, backpropagation network is trained using different training algorithms and the resulting optimal parameters are recorded. Depending upon the complexity of the object to be recognised, this technique can used to form the basis for object recognition or as the best method. The research is also aimed to compare the performance of chain code representation as against centroidal profile extraction. The third objective is to determine the effectiveness of Feed forward artificial neural networks ANNs in recognising and classifying different medical waste items in the image form. The networks were trained on a large number of medical waste items. The wide variety of shapes and textures revealed that just a representation of an object’s boundary is not sufficient to recognise every object in the set, and some form of texture recognition will also be required in recognising medical wastes. The results have shown that chain code has lesser performance as compared to centroidal profile representation. Ramani Bai V. G. | Alla Kay R. | Andy Chan ""Automation of Medical Waste Separation using Advanced Technologies to Minimize its Impact on Environment"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Advanced Engineering and Information Technology , November 2018, URL: https://www.ijtsrd.com/papers/ijtsrd19120.pdf
Paper URL: https://www.ijtsrd.com/engineering/environment-engineering/19120/automation-of-medical-waste-separation-using-advanced-technologies-to-minimize-its-impact-on-environment/ramani-bai-v-g"
MULTI-CRITERIA DECISION SUPPORT GUIDED BY CASE-BASED REASONINGcsandit
Many systems based on knowledge, especially expert systems for medical decision support have
been developed. Only systems are based on production rules, and cannot learn and evolve only
by updating them. In addition, taking into account several criteria induces an exorbitant number
of rules to be injected into the system. It becomes difficult to translate medical knowledge or a
support decision as a simple rule. Moreover, reasoning based on generic cases became classic
and can even reduce the range of possible solutions. To remedy that, we propose an approach
based on using a multi-criteria decision guided by a case-based reasoning (CBR) approach.
Avit theophil presentation on ngo's role as private actor- Nairobi KenyaAvith Theophil
We have been seeing failure of public admnistration when private sectors are not fully involved in policy planning, implementation, monitoring and evaluation. Therefore, my study aims at investigating on roles that NGOs play in implementation of Tanzania child development policy of 1996 case of Karagwe district, in Kagera region. I will be presenting my academic proposal on 4th-5th of April, 2014 at Nairobi Kenya to MKU Postgraduate school defence
A Comparative Study on Mushroom Classification using Supervised Machine Learn...YogeshIJTSRD
Mushroom hunting is gaining popularity as a leisure activity for the last couple of years. Modern studies suggest that some mushrooms can be useful to treat anemia, improve body immunity, fight diabetes and a few are even effective to treat cancer. But not all the mushrooms prove to be beneficial. Some mushrooms are poisonous as well and consumption of these may result in severe illnesses in humans and can even cause death. This study aims to examine the data and build different supervised machine learning models that will detect if the mushroom is edible or poisonous. Principal Component Analysis PCA algorithm is used to select the best features from the dataset. Different classifiers like Logistic Regression, Decision Tree, K Nearest Neighbor KNN , Support Vector Machine SVM , Naïve Bayes and Random Forest are applied on the dataset of UCI to classify the mushrooms as edible or poisonous. The performance of the algorithms is compared using Receiver Operating Characteristic ROC Curve. Kanchi Tank "A Comparative Study on Mushroom Classification using Supervised Machine Learning Algorithms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd42441.pdf Paper URL: https://www.ijtsrd.com/computer-science/embedded-system/42441/a-comparative-study-on-mushroom-classification-using-supervised-machine-learning-algorithms/kanchi-tank
Making Better Decisions: Operational ResearchDaniel Sandars
Designed to motivate potential A level maths students to study the further maths and decision maths option. Delivered at Denbigh School, Milton Keynes 6th July 2016 as a volunteer in the Operational Research Society OR in Schools programme (http://www.theorsociety.com/Pages/PromotingInvesting/ORinSchools.aspx). The session was lead by the Further Maths Support Program (www.furthermaths.org.uk).
This presentation focuses on 6 trends in Australia:
- The rise of the skills economy
- The real possibilities of Microcredentials
- The challenge of AI – Learning tools, Analytics & Cheating
- The true hybridization of learning opportunities
- Getting real about First Nations Knowledges and diversity
- The work readiness of our graduates
Providing examples and considerations.
Building and Communicating Evidence of Effectiveness in OER through Collectiv...Robert Farrow
Much of the evidence surrounding the use (and re-use) of OER is fragmentary or anecdotal. The OLnet project has developed a software tool for effectively gathering, sharing and judging the evidence around key issues of OER. The Evidence Hub distills key insights from the cloud of discussion and opinion creating a thematically indexed, structured ecosystem of organisations, project, issues, recommendations and evidence for the use of those who form the Open Education movement. In this presentation we explain the key concepts behind the Evidence Hub and some of its possible uses.
Operational Research and Organizational SystemIJRES Journal
Organizational systems, as well as specific integration of social and technical systems are extremely important for the development of human society. The most part, the problems of managing these systems are reduced to operations research - a generic term for activities that define the processes involved in the functions of organizational systems, and hence the term operations research. Field of study operations research as a scientific discipline, the organizational processes and activities that are being carried out and an important determinant of the intention to find the best decisions in managing the operations undertaken to achieve the set goals of the system. The generality of operations research is reflected in the fact that apply to all types of organizational systems - commercial, industrial, agricultural, military, medical, educational, government, and the like. Users of operations research decision makers - managers, whose task is to efficiently and effectively manage organizational systems. In this paper we consider operational research and conceptual foundations that enable its effective use in solving the problem of organizational systems.
ICU Patient Deterioration Prediction : A Data-Mining Approachcsandit
A huge amount of medical data is generated every da
y, which presents a challenge in analysing
these data. The obvious solution to this challenge
is to reduce the amount of data without
information loss. Dimension reduction is considered
the most popular approach for reducing
data size and also to reduce noise and redundancies
in data. In this paper, we investigate the
effect of feature selection in improving the predic
tion of patient deterioration in ICUs. We
consider lab tests as features. Thus, choosing a su
bset of features would mean choosing the
most important lab tests to perform. If the number
of tests can be reduced by identifying the
most important tests, then we could also identify t
he redundant tests. By omitting the redundant
tests, observation time could be reduced and early
treatment could be provided to avoid the risk.
Additionally, unnecessary monetary cost would be av
oided. Our approach uses state-of-the-art
feature selection for predicting ICU patient deteri
oration using the medical lab results. We
apply our technique on the publicly available MIMIC
-II database and show the effectiveness of
the feature selection. We also provide a detailed a
nalysis of the best features identified by our
approach.
Digital Scholar Webinar: Understanding and using PROSPERO: International pros...SC CTSI at USC and CHLA
This 60-minute webinar starts with an overview of why and how PROSPERO was developed. I will then show how to search the database and how to register systematic review protocol details and keep records up to date. Reflections on the 10 years since the launch of PROSPERO and the challenges the rapidly changing digital environment now presents will also be briefly covered.
Speaker
Dr. Alison Booth Senior Research Fellow, University of York, UK
Dr. Booth joined the York Trials Unit (YTU) in October 2015. She has experience in the design and conduct of a range of research methods, in particular systematic reviews, RCTs, and methodological studies. She has a background in radiography, clinical governance and research ethics. Alison is a Senior Research Fellow in YTU and also an Advisor and Impact Lead for the NIHR Research Design Service Yorkshire and Humber (RDS YH). Her particular interests are in knowledge translation, impact and transparency in research reporting.
Validity of Instruments, Appropriateness of Designs and Statistics in Article...iosrjce
The main purpose of the study is to appraise the validity of research instruments, the appropriateness
of the research designs and the statistics used for data analyses in articles published in education journals in
Nigeria. Currently, higher institutions in Nigeria tend to prefer articles published in foreign/international
journals. Some researchers in the country also question the validity of some of the articles published in local
journals. Appropriate research designs, valid instrument and appropriate use of statisticals tools are some of
the indices that make research results credible and dependable. To assess these important variables, three
questions were posed. Journal articles published in Nigeria education Journals for last five years were selected
through accidental sampling technique. Then purposive sampling technique was used to select 132 empirical
studies. Empirical studies were selected because they are the studies that lend themselves to use of designs, data
collection with instruments and statistical analysis of data. Appraisal guides for instrument, design and
statistics were used to assess the articles. The results showed that 67% of the articles were carried out with
appropriate research designs, and in 78% of the articles, appropriate statistics were applied in data analyses.
However, only 36% of the instruments used for the study would generate data that can lead to valid
interpretation of the results. Programmes that will enhance knowledge and stills of researchers to improve the
quality of research based publications are recommended. Institutions of higher learning can help their staff in
this direction
This report summarizes the results of a campus-wide survey initiative, conducted by the Southern California Clinical and Translational Science Institute (SC CTSI), focused on the development of a clinical data warehouse for research (CDWR) and a clinical trials management system (CTMS) as well as general barriers to conducting clinical research at the University of Southern California (USC) and Children's Hospital Los Angeles (CHLA).
Learn more about SC CTSI http://www.sc-ctsi.org/
Automation of Medical Waste Separation using Advanced Technologies to Minimiz...ijtsrd
"This paper describes a shape recognition technique using boundary chain codes extracted by a method as described by Pavlidis and used an 8 connected neighbourhood. A chain code is a representation of a two dimensional contour using a one dimensional array. Feed forward neural networks were trained to recognise these chain codes. In addition, backpropagation network is trained using different training algorithms and the resulting optimal parameters are recorded. Depending upon the complexity of the object to be recognised, this technique can used to form the basis for object recognition or as the best method. The research is also aimed to compare the performance of chain code representation as against centroidal profile extraction. The third objective is to determine the effectiveness of Feed forward artificial neural networks ANNs in recognising and classifying different medical waste items in the image form. The networks were trained on a large number of medical waste items. The wide variety of shapes and textures revealed that just a representation of an object’s boundary is not sufficient to recognise every object in the set, and some form of texture recognition will also be required in recognising medical wastes. The results have shown that chain code has lesser performance as compared to centroidal profile representation. Ramani Bai V. G. | Alla Kay R. | Andy Chan ""Automation of Medical Waste Separation using Advanced Technologies to Minimize its Impact on Environment"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Advanced Engineering and Information Technology , November 2018, URL: https://www.ijtsrd.com/papers/ijtsrd19120.pdf
Paper URL: https://www.ijtsrd.com/engineering/environment-engineering/19120/automation-of-medical-waste-separation-using-advanced-technologies-to-minimize-its-impact-on-environment/ramani-bai-v-g"
MULTI-CRITERIA DECISION SUPPORT GUIDED BY CASE-BASED REASONINGcsandit
Many systems based on knowledge, especially expert systems for medical decision support have
been developed. Only systems are based on production rules, and cannot learn and evolve only
by updating them. In addition, taking into account several criteria induces an exorbitant number
of rules to be injected into the system. It becomes difficult to translate medical knowledge or a
support decision as a simple rule. Moreover, reasoning based on generic cases became classic
and can even reduce the range of possible solutions. To remedy that, we propose an approach
based on using a multi-criteria decision guided by a case-based reasoning (CBR) approach.
Avit theophil presentation on ngo's role as private actor- Nairobi KenyaAvith Theophil
We have been seeing failure of public admnistration when private sectors are not fully involved in policy planning, implementation, monitoring and evaluation. Therefore, my study aims at investigating on roles that NGOs play in implementation of Tanzania child development policy of 1996 case of Karagwe district, in Kagera region. I will be presenting my academic proposal on 4th-5th of April, 2014 at Nairobi Kenya to MKU Postgraduate school defence
A Comparative Study on Mushroom Classification using Supervised Machine Learn...YogeshIJTSRD
Mushroom hunting is gaining popularity as a leisure activity for the last couple of years. Modern studies suggest that some mushrooms can be useful to treat anemia, improve body immunity, fight diabetes and a few are even effective to treat cancer. But not all the mushrooms prove to be beneficial. Some mushrooms are poisonous as well and consumption of these may result in severe illnesses in humans and can even cause death. This study aims to examine the data and build different supervised machine learning models that will detect if the mushroom is edible or poisonous. Principal Component Analysis PCA algorithm is used to select the best features from the dataset. Different classifiers like Logistic Regression, Decision Tree, K Nearest Neighbor KNN , Support Vector Machine SVM , Naïve Bayes and Random Forest are applied on the dataset of UCI to classify the mushrooms as edible or poisonous. The performance of the algorithms is compared using Receiver Operating Characteristic ROC Curve. Kanchi Tank "A Comparative Study on Mushroom Classification using Supervised Machine Learning Algorithms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd42441.pdf Paper URL: https://www.ijtsrd.com/computer-science/embedded-system/42441/a-comparative-study-on-mushroom-classification-using-supervised-machine-learning-algorithms/kanchi-tank
Making Better Decisions: Operational ResearchDaniel Sandars
Designed to motivate potential A level maths students to study the further maths and decision maths option. Delivered at Denbigh School, Milton Keynes 6th July 2016 as a volunteer in the Operational Research Society OR in Schools programme (http://www.theorsociety.com/Pages/PromotingInvesting/ORinSchools.aspx). The session was lead by the Further Maths Support Program (www.furthermaths.org.uk).
This presentation focuses on 6 trends in Australia:
- The rise of the skills economy
- The real possibilities of Microcredentials
- The challenge of AI – Learning tools, Analytics & Cheating
- The true hybridization of learning opportunities
- Getting real about First Nations Knowledges and diversity
- The work readiness of our graduates
Providing examples and considerations.
Building and Communicating Evidence of Effectiveness in OER through Collectiv...Robert Farrow
Much of the evidence surrounding the use (and re-use) of OER is fragmentary or anecdotal. The OLnet project has developed a software tool for effectively gathering, sharing and judging the evidence around key issues of OER. The Evidence Hub distills key insights from the cloud of discussion and opinion creating a thematically indexed, structured ecosystem of organisations, project, issues, recommendations and evidence for the use of those who form the Open Education movement. In this presentation we explain the key concepts behind the Evidence Hub and some of its possible uses.
Open Access at the Coal Face - Attitudes and Practical Responses (DARTS4)Yvonne Budden
Open Access is, arguably, one of the most disruptive changes to the scholarly communications environment since the invention of the internet. Staff in academic and research libraries have been facilitating this change and educating researchers about it since the first institutional repository was launched in 2000. But the pace of change has accelerated exponentially with the strengthening of the RCUK and Wellcome Trust mandates and the introduction of the HEFCE mandate among other funder moves in this area.
This talk will focus on the practical responses taken by the University of Warwick to cope with this change in all areas across the institution and the demands that this has placed on Library staff. It will focus on the Library perspective but also cover work done by the Research Office as well as the Graduate School and Student, Careers and Skills as part of a cross-institutional response. It will examine the practical challenges that we have faced in dealing with the new policies and some of the developments we have made to our institutional repository, WRAP (http://wrap.warwick.ac.uk) to support researchers wanting the advantages of open access. Additionally it will cover new areas of activity that have been undertaken by Library staff and offer a few of our ‘lessons learnt’ as well as a few future plans.
Finally the talk will discuss some of the early results from an institution wide survey of our researchers on their understanding of open access and attitudes to the process. This survey is an expansion of a survey that we ran in 2011 and the results will show whether or not the rapid changes and stronger funder mandates are really helping to win the hearts and minds of our researchers.
"Open Access at the Coal Face: attitudes and practical responses" Yvonne Budd...ARLGSW
Open Access is, arguably, one of the most disruptive changes to the scholarly communications environment since the invention of the internet. Staff in academic and research libraries have been facilitating this change and educating researchers about it since the first institutional repository was launched in 2000. But the pace of change has accelerated exponentially with the strengthening of the RCUK and Wellcome Trust mandates and the introduction of the HEFCE mandate among other funder moves in this area.
This talk will focus on the practical responses taken by the University of Warwick to cope with this change in all areas across the institution and the demands that this has placed on Library staff. It will focus on the Library perspective but also cover work done by the Research Office as well as the Graduate School and Student, Careers and Skills as part of a cross-institutional response. It will examine the practical challenges that we have faced in dealing with the new policies and some of the developments we have made to our institutional repository, WRAP (http://wrap.warwick.ac.uk) to support researchers wanting the advantages of open access. Additionally it will cover new areas of activity that have been undertaken by Library staff and offer a few of our ‘lessons learnt’ as well as a few future plans.
Finally the talk will discuss some of the early results from an institution wide survey of our researchers on their understanding of open access and attitudes to the process. This survey is an expansion of a survey that we ran in 2011 and the results will show whether or not the rapid changes and stronger funder mandates are really helping to win the hearts and minds of our researchers.
Designing Innovation Ecosystems | Keynote Address to the 2016 ANZRSAI Meeting...Ed Morrison
These slides highlighted a keynote adress to the 40th annual meeting of the Australia New Zealand Regional Science Association International meeting in Melbourne. In it, we reviewed some of our experiments in designing and guiding innovation ecosystems.
OER and the Economies of Sale - CAMEX 2014Charles Key
Higher education is experiencing a "crisis of cost." Open Educational Resources are positioned to be an important part of the solution. This presentation contains seven reasons that OER are here to stay and challenges campus stores to embrace the opportunity and drive OER adoptions.
I work as a lobbyist in EU. Here I follow the ITRE committee and I write proposals that are of interest for them. ITRE = Industry, Technology, Research, Energy
How you can enhance the efficiency and effectiveness of teaching and learning...Jisc
Led by Sue Attewell, head of change - further education and skills, Jisc.
With contributions from
Claire George, programme leader in information and creative, Bridgend College
Anne Marggraf-Turley, ILT coordinator, Coleg Ceredigion
Connect more in Wales, Thursday 7 July 2016
Sustaining OER innovation through collaboration and partnership Simon Thomson (Leeds Metropolitan University) and Andy Beggan (University of Nottingham) Facilitated by Peter Bullen.
Open Educational Resources - experiences from Great Britain and Internationally. First presented to a Swedish audience in Stockholm February 2010 by Patrick McAndrew.
CC-BY
Jisc are working on ways to improve the student experience by capturing and analysing the many kinds of data that can be collected across university and college campuses. Jisc is the UK higher, further education and skills sectors’ not-for-profit organisation for digital services and solutions.
James Clay from Jisc will explore the concept of learning analytics, what kinds of data we can gather about students and their activity, how we can analyse that data and what that data tells us. Can we use data and metrics to improve the student experience? At the core of the Jisc learning analytics service is the learning data hub where academic and engagement data is collected, stored and processed.
In our Intelligent Campus project we want to extend that learning data hub to enable data to be gathered in from physical places (movement trackers, heat and CO2 sensors, smart buildings, for example) and from systems that record and monitor space and equipment usage, timetabling and other activities. By analysing when and how rooms are used organisations will be able to make smarter, more effective use of learning spaces and other facilities across campus and to improve curriculum design and delivery. The internet of things, mobile devices, and wifi makes it possible for us to gather real-time data about the environment and usage of our campuses. It is easy to imagine using this data to ensure the campus is managed effectively, but could we go further and adjust environmental conditions to improve learning. Even using facial recognition software, student reactions as they use the campus so that we can continually refine the learning experience.
We can already gather data from the digital environment , library usage, VLE activity, attendance, student records. As we start to use a range of tracking technologies, smart cards, beacons, sensors we are facing a deluge of data in the use of buildings, spaces and equipment across a college or university campus. We are faced with a breadth and depth of data which can be challenging to use effectively and have greatest impact. Interpreting the data is fraught with challenges and difficulties, as well as potential ethical and legal issues. However this wealth of data does offer the potential to deliver more satisfying experiences for students and staff as well as ensuring the campus is used as effectively as possible. What happens when we take the next step and integrate with local communities and start to interface and integrate with smart communities and smart cities?
What are the potential solutions and challenges in this space?
Similar to Making a difference with Operational Research (20)
The Greenwich Social Enterprise Partnership (GSEP) supports people running social businesses.
The Partnership wants to ensure that local social enterprises get the right support. But the partners involved are multi-agency, with different viewpoints. We were asked to help clarify their offer.
The OR Society: Pro Bono O.R. & O.R. in SchoolThe OR Society
This presentation delivered at a plenary session during the Government OR conference gives an overview of the O.R. Society as well as two of its volunteers schemes: Pro Bono O.R. & O.R. in Schools. It also includes 2 exampled case studies from GORS volunteers who have carried out Pro Bono projects
Pro Bono O.R. - Simplifying selection and improving allocation for CharityworksThe OR Society
Charityworks runs a one-year graduate development programme in the third sector.
The Problem
Charityworks wanted to learn how they could streamline their selection and matching processes to make them more efficient and effective as they scaled the programme up.
The Approach
Two Pro Bono O.R. volunteers analysed the contribution of selection components by analysing how the previous years’ results would have changed had they been omitted singly or in combination.
They used data on a selection of best- and worst-performing candidates to assess the predictive power of the different assessment activities
The volunteers recognised the matching candidates to posts as an example of the Assignment Problem and after reviewing the literature decided to approach it using the Hungarian Methgod.
They developed an Excel-based prototype using VBA to produce initial allocations.
The Solution
The volunteers analysed the components of the selection process to show which ones were contributing to whether candidates passed the selection
They also showed which ones were better predictors of performance in post
They developed a prototype spreadsheet-based model to allocate candidates to posts
The Benefits
Charityworks decided to dispense with their second stage assessment centre
Charityworks were able to make more data-driven decisions about the remaining assessment activities
The volunteers learnt about a classic O.R. problem in a different setting and did some fairly intensive coding
Charityworks are planning to take on a MSc student to carry the work on, so spreading awareness of O.R.
Charityworks commented: 'Dedicated volunteers committed to the project added great value for data/insight-driven decisions'
Bloodwise’s wealth of transactional data presented an opportunity to improve their knowledge about their supporters; they were to keen to understand how many different groups of supporters they had and what makes these groups different from each other.
Bloodwise’s wealth of transactional data presented an opportunity to improve their knowledge about their supporters; they were to keen to understand how many different groups of supporters they had and what makes these groups different from each other.
Since the transactional data contained a mix of categorical and continuous variables a two stage approach was used to identify different segments of supporters.
Understanding effectiveness of training & developmentThe OR Society
Understanding effectiveness of training & development
PIP (Pursuing Independent Paths) is a charity supporting adults with learning disabilities to achieve their potential.
PiP had begun to collect lots data on the effectiveness of training & development interventions, however they did not have an easy way to aggregate and analyse the data to understand trends and overall effectiveness.
This was necessary to provide assurance internally, for external funding bodies and to provide feedback to students.
Helping the 3rd Sector be more efficient and effectiveThe OR Society
Pro Bono O.R. provides volunteer analysts to third sector organisations in the UK to help leaders make more effective decisions and build more productive systems
Wondering what Pro Bono O.R. is? Would you like to use your skills to hep third sector organisations? Are you are third sector organisation that could benefit from Pro Bono support?
The OR Society’s Third Sector initiative has two main components: a Special Interest Group, and a Pro Bono scheme, matching O.R. volunteers with third sector organisations needing their input. But is there really any difference between doing OR in the third sector and doing it with a government or private sector organisation? Is “it’s for charity” really a good enough reason to work for free? This talk explores these challenges, taking charities as an example of third sector organisations.
The event is open to all and with a free buffet of sandwiches available afterwards.
Pro Bono O.R. Case Study Slide: Measuring ImpactThe OR Society
A charity that supports young disabled people and families in need in the London borough of Camden.
The Client seeks to develop an outcome framework at an organisational level which can be applied across all of their projects in order to evaluate the effectiveness of their work.
If you are carrying out a project that requires impact measurement, outcomes measurement or evaluation check out my new blog which has recommended resources. This has been put together by members of The OR Society
It's a dog's life: Volunteers' experience at RSPCAThe OR Society
Volunteering with the RSPCA: O.R., canine welfare and team building!
A team of Pro Bono O.R. volunteers from DECC worked on a project with RSPCA. Here the team tells us a bit about the project as well as the experience of being a volunteer.
All Pro Bono O.R. case studies completed to dateThe OR Society
Pro Bono O.R. has worked with lots of third sector organisations in the last couple of years. This presentations includes a one page case study slide from each project we have worked on.
Association of Young people with ME (AYME): strategic review by Pro Bono O.R.The OR Society
AYME contacted Pro Bono O.R. after hearing about a successful project with another charity. This case study outlines how the volunteer helped them do a strategic review
A member of the Pro Bono O.R. committee was invited to speak at the IFORS conference in Barcelona. The presentation looks at how Pro Bono O.R. is operated, some UK case studies and abroad.
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
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
1. Making a Real Difference:
Operational Research
Charlene Timewell, ORS Education Officer
Ian Seath, Director, Improvement Skills Consulting Ltd.
Felicity McLeister, ORS Pro Bono Project Manager
2. Why is O.R. the “Science of Better” and where can it take you?
“It’s a Dog’s Life”: A Case Study in Operational Research
Pro Bono O.R. for the Third Sector
Session Overview
3. www.TheORSociety.com www.LearnAboutOR.co.uk www.ScienceofBetter.co.uk 3
What is Operational Research?
Operational Research
Operational Research (O.R.) is the discipline of combining a way of thinking
and communicating with appropriate, often advanced, analytical methods
to help make better decisions in businesses and other enterprises.
4. www.TheORSociety.com www.LearnAboutOR.co.uk www.ScienceofBetter.co.uk 4
When is O.R. useful?
When a decision is complex or it’s not clear what the main problem is
When it’s uncertain what the outcome of different actions will be
When you don’t know how well things are working or think they could work
better
When you are worried about risks
When you need to take account of the views of different stakeholder
groups
5. www.TheORSociety.com www.LearnAboutOR.co.uk www.ScienceofBetter.co.uk 5
How is O.R. useful?
Modelling
RiskAnalysis
GameTheory Data MiningLinear Programming Scheduling
Simulation
Bin Packing
Hyper-Heuristics
Critical Path
Analysis
EvolutionaryComputation
Markov
Decision
Processes Optimisation
Meta-Heuristics
Systems
Dynamics Queuing Theory
Statistics & Probability
Validation
Assessment
6. www.TheORSociety.com www.LearnAboutOR.co.uk www.ScienceofBetter.co.uk 6
Why is O.R. the Science of Better?
Supermarkets
Understanding people’s buying patterns
Determining the number of staff needed
on checkouts and when
Calculating order quantities and delivery
times
CASE STUDY: Waitrose
Improve automated demand forecasting
system
Statistics and simulation
Significant overall cost reduction of 2%
7. www.TheORSociety.com www.LearnAboutOR.co.uk www.ScienceofBetter.co.uk 7
O.R. is the Science of Better
Transport Planning
Calculating cost effective,
environmentally conscious routes
Planning loads and scheduling deliveries
to consolidate orders
Optimising staffing requirements and
fleet size
CASE STUDY: Blackheath Products
Reliable vehicle routing solution prior to
major business expansion
Optimisation
Fuel and mileage savings of 20%, reduced
planning time by 75%
14. www.TheORSociety.com www.LearnAboutOR.co.uk www.ScienceofBetter.co.uk 14
Where to Look for Experience & Jobs
Company Website, e.g.
Volunteering Opportunities, e.g.
Direct with employers or charities
O.R. in Schools (ORiS)
http://bit.ly/1teCxXPhttp://ibm.co/1kq3pWAhttp://bit.ly/1FP84vK
15. www.TheORSociety.com www.LearnAboutOR.co.uk www.ScienceofBetter.co.uk 15
The OR Society
The OR Society
The professional membership body of
the Operational Research (O.R.)
community.
The longest-established and second
largest O.R. association worldwide with
almost 3000 members across 53
countries.
A registered charity and a company
limited by guarantee, governed by its
Board of Trustees and Committees.
16. www.TheORSociety.com www.LearnAboutOR.co.uk www.ScienceofBetter.co.uk 16
The OR Society
Free Student Membership
Access to all ORS journals and magazines
Build your background knowledge and your CV by attending events and volunteering with
ORS outreach
Apply for CandORS accreditation
Network with other students and O.R. professionals (Public Lectures, Conferences,SiGs,
& Regional Societies)
Discounted rates for conferences and training courses
17. www.TheORSociety.com www.LearnAboutOR.co.uk www.ScienceofBetter.co.uk 17
ORiS: Making a Difference
O.R. in Schools
“every student
should know what
O.R. is”
For Professionals
An opportunity to share
O.R skills with the next
generation
Free support, training,
and resources from The
OR Society
For Teachers
Free O.R resources
and support for the
classroom
For Students
Secondary onwards
To learn what O.R. is and
how maths is used in
everyday life
During University
To gain experience and
skills for CV while
promoting maths/O.R. to
younger students
To explore career
opportunities in O.R.
20. www.TheORSociety.com www.LearnAboutOR.co.uk www.ScienceofBetter.co.uk 20
Practical Exercise
∞ 1st person in the line, look at the person on your left.
∞ If you are taller, swap.
∞ 2nd person in the line, look at the person on your left.
∞ If you are taller, swap.
∞ 3rd person in the line, look at the person on your left.
∞ If you are taller, swap.
∞ And so on…until you reach the end of the line.
∞ The last person in the line should now be the tallest and can turn
around.
∞ Start again. The end of the line is the person next to someone who
has turned around.
25. www.TheORSociety.com www.LearnAboutOR.co.uk www.ScienceofBetter.co.uk 25
ORiS: Student Volunteers
Volunteer Benefits
All resources/materials are provided
Travel & accommodation expenses
reimbursed
Free training courses and workshops
Networking opportunities with other students
and O.R. professionals
Experience for your CV
27. “It’s a dog’s life”
A Case Study in Operational
Research
The OR Society: www.theorsociety.com
Pro Bono O.R.: www.theorsociety.com/Pages/Probono/Probono.aspx
For more information
Email felicity.mcleister@theorsociety.com
Phone: 0121 233 9300
28. Can we answer the following questions?
• How many dogs there are “in the
system” in the UK and how do they
move between different parts of the
system?
• How many dogs are relinquished and
why? Which type of dog?
• Can we forecast the likely impact of
different interventions ?
The RSPCA is the UK’s leading animal welfare charity.
29. Key project stages
• Review the available data
• Design and build a model
• Develop recommendations for
possible uses and future
development of the model
30. What data would you want to
collect and where would you find
it?
Workshop exercise 1
31. Literature Review
• Literature Review of
relevant papers and
reports
• ~50 different sources
• ~100 data points and
times series
• Assessment of data
quality
32.
33. Can we model the UK dog
population?
Workshop exercise 2
Stock
Inflows
Outflows
34. A Stocks and Flows Model of UK dogs
• A Stocks and Flows Model helps us to
understand the “system” in which
dogs exist; where they are and how
they move between different parts of
the system
• Task 2a: decide what are the four
“stocks” of dogs that you would want
to include in a model, based on the
overall population data from the
literature review
Stock 1
Stock 4
Stock 2
Stock 3
35. A Stocks and Flows Model of UK dogs
• Here is a model answer that defines
four main stocks of dogs
• Task 2b: what do you think are the
inflows and outflows that lead to
increases and reductions in each of
the stocks?
• N.B. there may be more than one inflow
and/or outflow for each stock
Companion
dogs
Working dogs
In Rescue
Strays
36. A Stocks and Flows Model of UK dogs
Companion
dogs (99.8%)
Working dogs
In Rescue
Strays
• Births
• Imports
• Deaths
• Exports
• Births
• Imports
• Deaths
• Deaths• Deaths • Births • Births
• Imports
37. What factors and interventions
affect the flows?
Workshop exercise 3
38. Factors affecting the flows
Canine
birth &
death
rates
Political
Economic
Social
Technology
Legal
Environment
• If you were the RSPCA, what
interventions would you want to make
to improve the system?
39. The Model
Stray dogs
Dogs in welfare
Owned dogs
Owned births
Owned
deaths
Stray births
Stray deaths
Welfare
births
Welfare deaths
Owned dogs to welfare
Welfare dogs to owned
Owned dogs to stray
Stray dogs to owned
Stray dogs to welfare
Imported owned dogs
Dogs imported to
welfare
Owned dog
exports
Number of dogs
microchipped
Owner education
level re dogs
Welfare life expectancy
Owned dog life
expectancy
Stray dog life
expectancy
Space available in
welfare
Euthanasia policy
Emmigration
Number of dog
breeders
Number of puppy
farms
Funding for welfare
Welfare capacity
Demand for
dogs in UK
Number of
owned dogs
having puppies
Demand for dogs -
non-UK
Disposable income
Insurance rates
Number of
dogs lost
Number of
dogs
abandoned
Number of dogs
neutered
9.4m (23)
2009 LB: 12,340
2010 LB:10,630
est 1,250 (300
to 2130)
111,000 per
year (13)
Strays back to owner -
53,280 per year (13)
Rehomed - 9,990
per year (13)
Put to sleep/die 8,880
per year (13)
Working dogs
27,750 per year (13)
Entering welfare:
129,743 per year (1)
0.5% of welfare in
flows (27, scaled)
11.4% of outflow died (27)
LB 7142 euthanised (1)
Assume 0
Welfare dogs reunited with
owner - 12.5% of those
entering = 16,218 (1). 7.7%
of those entering (27)
Rehomed - 80.9%
of outflows (27)
69.5% of welfare
inflows (27, scaled)
30% of welfare inflows (27,
scaled) - this includes LA and
public straying dogs
11.4% of dogs per
year? (36)
25% of dogs per
year? (est from
24, 41)
12 years (34)
4% of microchipped are from Ireland,
3% from other EU, 2% from outside
EU - needs scaling up by 2% (24)
50,000 dogs imported
from Ireland per year (31)
Working dogs
to owned
greyhounds - 3,910
per year (33)
Working
dog births
Working
dog deaths
Working dog life
expectancy
Requirements for
working dogs
Working dogs to
welfareAt least 2500
police dogs
(45)
40. How the RSPCA has been able to use the
results
• Helping to scope the direction of their
campaign to tackle the illegal trade
in puppies
• Using the data to inform their
response to DEFRA’s
consultation on overhauling
existing pet vending legislation
41. Pro Bono O.R.
(Operational Research)
for the Third Sector
Webpage: www.theorsociety.com/Pages/Probono/Probono.aspx
Blog: http://probonoOR.blogspot.co.uk/
For more information
Email felicity.mcleister@theorsociety.com
Phone: 0121 233 9300
42. Pro Bono O.R.
• What is Pro Bono O.R. and how did it come about?
• What are its aims?
o To help Third Sector organisations to do a better job
o To promote O.R. in the Third Sector
o To promote effective use of O.R.
43. How it works: organisations
• Expression of interest
• Registration form
• Scoping conversation
• Project scope sent to volunteers
• Organisation selects volunteer
• Pre project survey
• Project proposal drawn up
• Project commences
• Feedback sought
• Post project survey
44. • The role of a volunteer:
• Who are the volunteers
• Work with organisation to specify project;
• Undertake project, either individually or in teams;
• Write up and/or present their work wherever appropriate;
• Mentor junior volunteers.
• O.R./analytical professionals
• Retired
• Consultants
• Government employees
• Employed professionals
• Academics
How it works: volunteers
45. Projects
Volunteers
• 67 projects advertised
• 45 projects completed
• 22 active projects
• Over 400 volunteers
• 173 volunteers applied for projects
• 89 volunteers on projects
The story so far…
46. Some example case studies
RSPCA
• Modelling the UK dog population
Elfrida Rathbone Camden
• Designing an outcomes framework to measure impact
Crimestoppers Trust
• Improving performance whilst minimising cost
48. How to get involved
• Sign up online
http://www.theorsociety.com/Pages/Probono/Pr
obono.aspx
• Come and chat to me now
• Drop me an email
felicity.mcleister@theorsociety.com