Machine learning as a service for high energy physics (MLaaS4HEP): a service for ML-based data analyses

With the CERN LHC program underway, there has been an acceleration of data growth in the High Energy Physics (HEP) field and the usage of Machine Learning (ML) in HEP will be critical during the HL-LHC program when the data that will be produced will reach the exascale. ML techniques have been successfully used in many areas of HEP nevertheless, the development of a ML project and its implementation for production use is a highly time-consuming task and requires specific skills. Complicating this scenario is the fact that HEP data is stored in ROOT data format, which is mostly unknown outside of the HEP community. The work presented in this thesis is focused on the development of a ML as a Service (MLaaS) solution for HEP, aiming to provide a cloud service that allows HEP users to run ML pipelines via HTTP calls. These pipelines are executed by using the MLaaS4HEP framework, which allows reading data, processing data, and training ML models directly using ROOT files of arbitrary size from local or distributed data sources. Such a solution provides HEP users non-expert in ML with a tool that allows them to apply ML techniques in their analyses in a streamlined manner. Over the years the MLaaS4HEP framework has been developed, validated, and tested and new features have been added. A first MLaaS solution has been developed by automatizing the deployment of a platform equipped with the MLaaS4HEP framework. Then, a service with APIs has been developed, so that a user after being authenticated and authorized can submit MLaaS4HEP workflows producing trained ML models ready for the inference phase. A working prototype of this service is currently running on a virtual machine of INFN-Cloud and is compliant to be added to the INFN Cloud portfolio of services.

The transformative potential of community engagement in higher education: an analysis of service-learning effects on students, communities, and institutions.

Service-learning in higher education is gaining attention as a reliable tool to support students’ learning and fulfil the mission of higher education institutions (HEIs). This dissertation addresses existing gaps in the literature by examining the effects and perspectives of service-learning in HEIs through three studies. The first study compares the effects of a voluntary semester-long service-learning course with traditional courses. A survey completed by 110 students before and after the lectures found no significant group differences in the psychosocial variables under inspection. Nevertheless, service-learning students showed higher scores concerning the quality of participation. Factors such as students’ perception of competence, duration of service-learning, and self-reported measures may have influenced the results. The second study explores the under-researched perspective of community partners in higher education and European settings. Twelve semi-structured interviews were conducted with community partners from various community organisations across Europe. The results highlight positive effects on community members and organisations, intrinsic motivations, organisational empowerment, different forms of reciprocity, the co-educational role of community partners, and the significant role of a sense of community and belonging. The third study focuses on faculty perspectives on service-learning in the European context. Twenty-two semi-structured interviews were conducted in 14 European countries. The findings confirm the transformative impact of service-learning on the community, students, teachers, and HEIs, emphasising the importance of motivation and institutionalisation processes in sustaining engaged scholarship. The study also identifies the relevance of the community experience, sense of community, and community responsibility with the service-learning experience; relatedness is proposed as the fifth pillar of service-learning. Overall, this dissertation provides new insights into the effects and perspectives of service-learning in higher education. It integrates the 4Rs model with the addition of relatedness, guiding the theoretical and practical implications of the findings. The dissertation also suggests limitations and areas for further research.

Applications of network-based approaches in drug research

Recent research trends in computer-aided drug design have shown an increasing interest towards the implementation of advanced approaches able to deal with large amount of data. This demand arose from the awareness of the complexity of biological systems and from the availability of data provided by high-throughput technologies. As a consequence, drug research has embraced this paradigm shift exploiting approaches such as that based on networks. Indeed, the process of drug discovery can benefit from the implementation of network-based methods at different steps from target identification to drug repurposing. From this broad range of opportunities, this thesis is focused on three main topics: (i) chemical space networks (CSNs), which are designed to represent and characterize bioactive compound data sets; (ii) drug-target interactions (DTIs) prediction through a network-based algorithm that predicts missing links; (iii) COVID-19 drug research which was explored implementing COVIDrugNet, a network-based tool for COVID-19 related drugs. The main highlight emerged from this thesis is that network-based approaches can be considered useful methodologies to tackle different issues in drug research. In detail, CSNs are valuable coordinate-free, graphically accessible representations of structure-activity relationships of bioactive compounds data sets especially for medium-large libraries of molecules. DTIs prediction through the random walk with restart algorithm on heterogeneous networks can be a helpful method for target identification. COVIDrugNet is an example of the usefulness of network-based approaches for studying drugs related to a specific condition, i.e., COVID-19, and the same ‘systems-based’ approaches can be used for other diseases. To conclude, network-based tools are proving to be suitable in many applications in drug research and provide the opportunity to model and analyze diverse drug-related data sets, even large ones, also integrating different multi-domain information.

Servizi relazionali e inclusione sociale: due studi di caso sul coinvolgimento delle famiglie nel Comune di Parma

La presente ricerca muove i suoi primi passi dall’ipotesi generale che il paradigma relazionale possa offrire al mondo dei servizi sociali una configurazione diversa, talora meno utopistica, del community work. Sebbene, infatti, in questi anni il sistema di offerta dei servizi si sia arricchito di principi come la co-progettazione e la co-responsabilità delle azioni, il lavoro di comunità resta ancora molto distante dal lavoro generalmente svolto nei servizi sociali territoriali, incapaci per ragioni strutturali e culturali di accogliere dentro di sé tale funzione. L’idea dalla quale trae origine la presente tesi di dottorato, è pertanto quella di arricchire la definizione di servizi sociali relazionali. Partendo dalle dimensioni che in letteratura sociologica e nei principali modelli teorici di social work definiscono un servizio alla persona quale servizio relazionale, nella prima parte teorica viene ipotizzata una trasformazione parziale del welfare regionale emiliano, poiché ai mutamenti culturali di questi anni non ha fatto seguito un cambiamento reale dei modelli operativi maggiormente basati sullo sviluppo delle competenze. Nella seconda parte della tesi, la ricerca empirica si focalizza sui progetti “family friendly” realizzati nel Comune di Parma, collocati in una logica di welfare societario e basati sull’apporto di soggetti di Terzo Settore, responsabili di ogni fase di realizzazione delle attività. La ricerca si avvale prevalentemente di tecniche qualitative e in alcuni tratti assume le caratteristiche della ricerca-azione. Nelle conclusioni, il contesto territoriale studiato rivela grande ricchezza dei legami strutturali, ma anche necessità di un rafforzamento dei legami interni. La forza dei servizi prodotti si situa, inoltre, nella sovrafunzionalità del legame tra volontari e famiglie, e di questo elemento dovrebbe arricchirsi anche il social work che scelga di adottare una prospettiva metodologica di lavoro relazionale.

Rural development and communication: a community media project in Uttar Pradesh (India)

Loaded with 16% of the world’s population, India is a challenged country. More than a third of its citizens live below the poverty line - on less than a dollar a day. These people have no proper electricity, no proper drinking water supply, no proper sanitary facilities and well over 40% are illiterates. More than 65% live in rural areas and 60% earn their livelihood from agriculture. Only a meagre 3.63% have access to telephone and less than 1% have access to a computer. Therefore, providing access to timely information on agriculture, weather, social, health care, employment, fishing, is of utmost importance to improve the conditions of rural poor. After some introductive chapters, whose function is to provide a comprehensive framework – both theoretical and practical – of the current rural development policies and of the media situation in India and Uttar Pradesh, my dissertation presents the findings of the pilot project entitled “Enhancing development support to rural masses through community media activity”, launched in 2005 by the Department of Mass Communication and Journalism of the Faculty of Arts of the University of Lucknow (U.P.) and by the local NGO Bharosa. The project scope was to involve rural people and farmers from two villages of the district of Lucknow (namely Kumhrava and Barhi Gaghi) in a three-year participatory community media project, based on the creation, implementation and use of a rural community newspaper and a rural community internet centre. Community media projects like this one have been rarely carried out in India because the country has no proper community media tradition: therefore the development of the project has been a challenge for the all stakeholders involved.

Il processo migratorio come determinante della salute mentale: l'esperienza del Centro di Consultazione Socio-Culturale nel Distretto di Pianura Est, AUSL di Bologna.

La ricerca in oggetto ha analizzato le relazioni tra migrazione e salute mentale nel Distretto di Pianura Est dell'AUSL di Bologna. Attraverso un dispositivo d’indagine multi-disciplinare basato sui quadri teorici dell'Antropologia Medica Critica, della Salute Pubblica e della Psichiatria, la ricerca si è inserita nell’ampio contesto di sperimentazione di un innovativo modello di assistenza per pazienti migranti, denominato Centro di Consultazione Socio- Culturale. L'architettura dello studio si rifà a un modello di Ricerca-Azione Partecipata e Multi-Situata fondato su un approccio analitico e auto-riflessivo, il quale ha consentito di problematizzare, oltre alle azioni e alle traiettorie dei vari soggetti che operano nel campo della ricerca, anche le categorie oggetto della ricerca stessa. L'analisi, profondamente radicata nel dato empirico, è stata condotta a partire dall'esperienza degli attori sociali coinvolti. Le esperienze, le informazioni e le rappresentazioni reciproche sono state co-costruite in forma partecipativa attraverso l'uso combinato di metodologie quali-quantitative proprie sia delle discipline sanitarie sia di quelle sociali. Come materiali della ricerca sono stati utilizzati: dati primari e secondari prodotti dalle istituzioni e dalle organizzazioni del territorio stesso; informazioni provenienti dall'osservazione partecipante; colloqui con informatori-chiave; interviste semi-strutturate con decisori politici, amministratori, organizzazioni del territorio, operatori dei servizi, cittadini e pazienti. La ricerca ha dimostrato la validità delle prospettive teoriche utilizzate e delle strategie di lavoro proposte. Il modello di lavoro multi-disciplinare e multi-metodologico si è rivelato produttivo nell'indagare congiuntamente le prospettive degli attori coinvolti insieme alle loro traiettorie, alle reciproche interconnessioni e alle relazioni tra processi locali e globali. L’analisi auto-riflessiva ha consentito di analizzare le attività del Centro di Consultazione evidenziandone vantaggi e limiti. Infine, la collaborazione tra Salute Pubblica e Antropologia Medica Critica ha dimostrato una grande potenzialità e produttività sia sul versante della ricerca scientifica sia su quello dell'assistenza sanitaria.