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PhD Event: Improve your pitching and networking skills

PHD EVENT:

Improve your pitching and networking skills

Join this one-day event for PhD students in Computer Science, Digitalization, Information Technology, Software Engineering, and related fields across the eight Danish universities to share knowledge, ideas, and challenges and form new relationships and collaborations across different digital research areas.

The event will also serve as a preparatory session for D3A 2.0 on October 22-23, 2024, equipping participants with valuable tools to maximize their experience at the conference.

Program

09.30-10.00: Registration

10.00-10.15: Welcome

10.15-12.15: Workshop on mastering the art of relationships, part I

The purpose of the workshop is to equip you with an understanding of strategic networking and its significance in your professional development. We will delve into theories and practical exercises, enhancing your ability to network effectively at conferences and beyond.

You will gain insights into your networking style, strengths, and areas for improvement, while learning concrete strategies for building and maintaining strong, trust-based relationships. Each participant will leave with a personalized workbook, including models, action plans, and a networking strategy tailored to their individual goals.

About the facilitator
Signe Holste runs the company Value People, where she has spent the last 7 years teaching and training employees, leaders, and organizations on how to achieve their goals and dreams through networking and knowledge sharing.

12.15-13.15: Lunch

13.15-14.15: Workshop on mastering the art of relationships, part II

14.15-14.30: Small break

14.30-15.30: Pitching session: Refining Your Research Presentation, part I

The purpose of the pitching session is to allow you to share your research and refine your presentation skills through constructive feedback.

A well-crafted pitch is crucial for any researcher. It helps you distill complex ideas into a concise and compelling narrative, making your work accessible to a broader audience. Effective communication of your research can open doors to new collaborations, funding opportunities, and career advancements. By practicing and perfecting your pitch, you enhance your ability to engage and inspire others within and beyond your field.

Each participant will have 10 minutes to present their research to a select group of fellow PhD students and a panel of senior researchers. After each pitch, there will be 5 minutes allocated for questions and feedback from the audience and the panel, focusing on both the content and delivery of your presentation.

Preparation

You must prepare a 10-minute pitch where your target audience is researchers outside your domain who work with digitalization/digital tech. Beamers will be available for slide presentations.

15.30-16.00: Coffee break

16.00-17.00: Pitching session, part II

17.00-18.00: Break // board games and ‘hygge’

18.00-20.00: Dinner

Conditions

Registration will be on a first-come-first-served basis. 

We will charge a fee for cancellations later than 15 August and no-shows to cover hotel expenses.

For participants NOT affliliated with DIREC, P1 or DDSA, a participation fee of DKK 800 incl. VAT will be charged by invoice.

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PhD School: Confronting Data through Design Methods – Speculating with Generative AI

phd school:

Confronting data through design methods

– Speculating with generative AI (GAI)

This course is aimed at PhD students, researching within the fields of Computer-Supported Cooperative Work (CSCW), Human-Computer Interaction (HCI), Science- and Technology Studies (STS), Participatory Design (PD) & Critical Data Studies, but the course is open to PhD students from all areas of work- and design studies. The course is given as a mix of hands-on exercises with GenAI tools and lectures and seminars on speculative design and critical responses to GenAI interwoven throughout the 3-day course. In addition, the students engage in peer-feedback as part of the development of their essays, which focus on applying GenAI in relation to their own PhD project.

The course explores how we can use design methods to probe, construct, question, and critique different types of data. The goal of the course is that participants are introduced to both theoretical, concrete, and practical knowledge about different modes of doing research through design as well as gaining an overview of current debates regarding how data-driven technologies can be made ethical and responsible.

This year’s course focus on applying GenAI for data analysis within this area of research.



The rapid introduction of GAI into organizational work through formal digital transformation initiatives as well as informal adoption of freely available tools is quickly reconfiguring the conditions of collaborative organizing and the means through which we speculate futures labor and society. How do we approach, for example, which practices and skills we automate or retain as requiring human experience? What futures are rendered more realizable through AI-enhanced data analysis methods and techniques? How is this moment of GAI hype and increased accessibility impacting forms of expertise, authority, and accountability in data work?



While GAI is entering data work for its expediency and utility, it is not always held accountable as a method of speculation and design even as it shapes the methods and tools through which we develop future scenarios with and through data analysis. Adopting a design perspective, we will also attend to the people in each case who are the subjects of data and have a stake in design outcomes of working with large-scale data, accessible for them with GAI.



Participants will obtain concrete skills in designing participatory “scenario-based workshops” utilizing GenAI tools, including DALL-E and ChatGPT. Furthermore, the course is set up to facilitate discussions and to generate ideas relating to the participants own PhD projects.



Working hands-on with GAI in a speculative design and research through design approach, will enable participants to enter into debates over responsible use of AI and other data-driven technologies through concrete application of these tools. By applying speculative methods to consider future scenarios of organizing and collaborative work students will problematize and concretize opportunities for designing/using data-driven technologies ethically and responsibly in their own cases.

The course is offered as a collaboration between DIREC, ITU and UCPH.  

Accessibility


If any participants have any special needs in order to attend the course, they are kindly requested to contact the organizers and we will try to accommodate such needs.




Preparation

In order to prepare for the course, the course participants need to:

  1. 

Read the literature from the reading list prior to the course (the course curriculum will be distributed after enrollment in the course). Download free version of DALL-E and ChatGPT.
  2. 

Submit their essays before May 15 2024 (2-4 pages) reflecting on the question: “How might combining methods from speculative design and GenAI help you think about your data in new ways? 

The readings and the essays are a way to reflect upon the topics prior to the course. The essays will also help us to identify participants interests/considerations prior to the course. Furthermore, this preparatory work aims to support their active participation throughout the course.

Read more

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Hvad nu hvis? Designere og forskere skal udfordre teknologiens skyggesider 

22. februar 2023

Hvad nu hvis? Designere og forskere 
skal udfordre teknologiens skyggesider  

Hvordan skaber vi fremtidens teknologier og bevarer samtidig en kritisk tilgang til de mange nye muligheder? Workshop om spekulativt design udfordrede de ph.d.-studerende til at se kritisk på teknologiens bagsider.

Spekulativt design hedder en relativt ny metode og selvstændig forskningsgenre, som sætter spørgsmålstegn ved teknologiforskningens basale antagelser – som at teknologi pr. definition er godt, ændrer folks liv til det bedre og løser verdens problemer.

Digitale teknologier kan bidrage til at løse store og små samfundsudfordringer, men vi skal være opmærksomme på, at de digitale landvindinger også har en bagside og ofte fører nye dilemmaer med sig.

For nylig satte designere og dataloger derfor hinanden stævne på Københavns Universitet for at udfordre måden, man tænker nye teknologier på.

’Confronting Data through Design Methods’ var overskriften på det tre dage lange ph.d.-kursus arrangeret af DIREC i samarbejde med Lektor Naja Holten Møller, ph.d.-studerende Trine Rask Nielsen, Kristin Kaltenhäuser og Lektor Tariq O. Andersen fra Datalogisk Institut ved Københavns Universitet.

Kurset var målrettet ph.d.-studerende, som arbejder i spændingsfeltet Computer-Supported Cooperative Work (CSCW), Human-Computer Interaction (HCI), Participatory Design (PD) og Critical Data Studies.

Fungerer teknologien blandt rigtige mennesker? 
Naja Holten Møller er stifter af Confronting Data Co-lab, som er et samarbejde mellem forskere, som arbejder med kritisk vigtige offentlige teknologier inden for bl.a. sundheds- og beskæftigelsesområdet.

Ifølge Naja Holten Møller er det nødvendigt, at forskere forholder sig kritisk til teknologiens muligheder og begrænsninger og sætter spørgsmålstegn ved, om slutproduktet nu også lever op til centrale demokratiske værdier.

–  Vi skal udfordre samtalen, så vi får fokus på alle perspektiver af digitaliseringen – også de negative. Udviklere skal ikke kun have fokus på brugerinterface, men også på kritiske spørgsmål som – hvordan kommer den her teknologi til at virke i praksis? Fører den her teknologi til, at personalet faktisk får bedre arbejdsvilkår, eller at patienten eller den ledige borger får et bedre forløb? På sundhedsområdet arbejder vi meget med data, men hvordan bruger vi de data, så de understøtter et godt arbejdsmiljø og en bedre patientkommunikation – dét er det centrale, siger Naja Holten Møller, som sammen med Majken Overgaard, stifter af det digitale kunstkollektiv Korridor, og Professor James Auger udfordrede de ph.d.-studerende til fx at arbejde med metoder fra kunstverdenen for at se mere kritisk på udviklingen af teknologi.

Forskere har et særligt ansvar  
Når emnet er aktuelt, skyldes det en stigende bekymring for, hvordan data og teknologi påvirker vores samfund. I den spekulative designproces undersøger designerne derfor hvilke værdier, antagelser, fortællinger og forpligtelser, som ubevidst driver teknologiudviklingen – man skræller så at sige markedsdrevne interesser og begrænsninger væk og retter fokus mod de borgere og medarbejdere, som skal bruge teknologien. Hvad medfører den på godt og ondt? Forandrer den samfundet i en ansvarlig retning?

Juliane Busboom er ph.d.-studerende ved Institut for Mennesker og Teknologi på RUC og er involveret i det treårige DIREC-forskningsprojekt REWORK, som har fokus på den fremtidige hybride arbejdsplads.

– I mit arbejde er spekulativt design som metode vigtig for at afdække flere sider af den hybride arbejdsplads. I dag kan medarbejdere arbejde online på alle tider af døgnet fra forskellige tidszoner. Ét er den tekniske infrastruktur (fx systemer til at understøtte onlinemøder), som hele tiden forbedres, så vi får bedre lyd, billede osv. – men hvad betyder det hybride arbejde for inklusionen og samarbejdet mellem mennesker? Hvordan harmonerer det med vores værdier?

– Vi skal tage debatten og overveje fordele og ulemper, inden vi udvikler samfundet i en bestemt retning. I spekulativt design udfordrer vi fantasien og forestiller os, hvordan verden ville se ud, hvis vi havde adgang til den og den teknologi, som vi endnu kun kan drømme om. Hvilken impact ville den få?

– Tænk, hvis vi kunne skrue tiden tilbage, til før de sociale medier blev opfundet. Hvis vi havde kunnet se nogle af de dilemmaer og den impact, som sociale medier fx har fået på unge menneskers liv. Hvad ville det have betydet for udviklingen?

– På samme måde skal vi inden for mit forskningsfelt overveje muligheder og begrænsninger, så vi undgår at skabe en fremtid, hvor man sidder 700 medarbejdere i samme virksomhed og kommunikerer med hinanden via en skærm. Som designere har vi et ansvar for at forholde os kritisk til den fremtid, som vi er med til at udvikle, afslutter Juliane Busboom.

Om Confronting Data Co-lab

Confronting Data Co-lab er et samarbejde mellem forskere fra Institut for Datalogi ved Københavns Universitet.

Målet med den tværfaglige gruppe er at stille skarpt på de datadrevne teknologiers indflydelse på den retning, samfundet bevæger sig i – og om det nu også er i tråd med fælles samfundsværdier.

I arbejdet inddrager forskerne erfaringer, færdigheder og perspektiver fra borgere, samfund og industrien for at se digitale teknologier i en større sammenhæng.

 

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PhD course: Confronting Data Through Design Methods

PHD Course

Confronting Data Through Design Methods

 
Join this new PhD course and explore different modes of inquiry with data-applying design methods.


The focus will be on the implications for researchers working in the fields of Computer-Supported Cooperative Work (CSCW), Human-Computer Interaction (HCI), Participatory Design (PD) and Critical Data Studies, but the course is open to PhD students from all areas of work and design studies.


Lectures by:



  • Majken Overgaard, who is heading CATCH known for its curatorial focus on the possibilities of imagining new technological futures as activism. She is an external lecturer at ITU and the co-founder of Korridor – a new digital art collective – investigating emerging culture and art online right now, such as blockchains, web3 and NFT.
  • James Auger, who is the director of the design department at LMF, ENS Paris-Saclay and co-director of the Centre de Recherche en Design (ENS & ENSCI). He is also an Associate Professor at RMIT (Europe). His work explores ways through which practice-based design research can lead to more considered and democratic technological futures.
  • Naja Holten Møller, who is an Associate Professor at DIKU. She is the founder of the Confronting Data Co-lab, a cooperation of scholars working and acting together in support of the stakeholders we encounter and engage with in our research, focusing on critical public technologies.

The participants gain knowledge of:

  • speculative design as a method
  • how to apply speculative design in practice,
  • and the criteria for evaluating research within this field.

The PhD course is organized by Ass. Prof. Naja L. Holten Møller and PhD fellow Trine Rask Nielsen and Kristin Kaltenhäuser from the University of Copenhagen with support from DIREC.

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Gør din forskning synlig og forståelig uden for forskningsverdenen

27. september 2022

Gør din forskning synlig og forståelig uden for forskningsverdenen

På dette års DIREC-seminar inviterede vi ph.d.-studerende og andre interesserede i at synliggøre deres forskning uden for den akademiske verden til en workshop med Peter Hyldgård, som har mere end 20 års erfaring med videnskabsjournalistik og kommunikation.

Forskning er nøglen til vores forståelse af samfundets udfordringer, menneskets forudsætninger og teknologiens muligheder. Derfor er det vigtigt at forskning gøres tilgængeligt for så mange som muligt.

I forskningsverdenen har publicering i videnskabelige tidsskrifter en helt særlig status, og hvert år udgives millioner af forskningsartikler, doktorafhandlinger, bøger og antologier på tværs af kloden og inden for alle discipliner. Desværre er det meget få, der læser disse mange publiceringer. Det er derfor nødvendigt også at fokusere på andre typer formidling, der når ud til en bredere målgruppe, da det bidrager til at give forskning en mere tydelig rolle i samfundet og gør forskning mere interessant og vedkommende for den bredere befolkning.

På workshoppen var der fokus på, hvordan man fortæller en god historie om sin forskning, som alle kan forstå – uden at gå på kompromis med det faglige indhold, og hvordan man bygger bro til et publikum, der ikke umiddelbart har interesse i/viden om emnet

Peter Hyldgård præsenterede flere enkle værktøjer til at finde en historie om sin forskning, som kan bruges i mange sammenhænge: Når man skal søge midler, når man interviewes af en journalist – eller når man skal fortælle din onkel Adam om sit arbejde.

Workshoppen var en blanding af oplæg og små øvelser med en lidt større afsluttende øvelse, hvor deltagerne gav en – meget kort – mundtlig ‘pitch’ af deres forskning.

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Summer School on Privacy-Preserving Machine Learning

Summer School on Privacy-Preserving Machine Learning

From August 1 to August 4, 2022, the Departments of Computer Science at ITU Copenhagen and Aarhus University invite you to the Summer School on Privacy-Preserving Machine Learning.

Privacy-Preserving Machine Learning is an important and exciting research subject that investigates how to benefit from machine learning techniques while preserving the privacy of training data and learned models.

At the PPML School 2022 lecturers with both a theoretical and applied background will cover a broad spectrum of subjects such as Multiparty Computation, Fully Homomorphic Encryption, Differential Privacy, Federated Learning as well as practical attacks. Current confirmed speakers are:

  • Emiliano De Cristofaro (UCL)
  • Rafael Dowsley (Monash University – tentative)
  • Divya Gupta (Microsoft Research)
  • Peter Kairouz (Google)
  • Yuriy Polyakov (Duality)
  • Yang Zhang (CISPA)

The school is aimed at PhD and Master students in the areas of Security as well as Machine Learning, but we also encourage researchers as well as other people with an interest in the area to attend.

Registration for the school is now open for a fee of 500 DKK (approximately 70 USD or 67 EUR). Students can obtain 3 ECTS for attending the school.

The event is organized by Bernardo David, Associate Professor at ITU Copenhagen and Carsten Baum, Assistant Professor at Aarhus University and will take place from August 1st until August 4th on the campus of ITU Copenhagen. We are currently investigating a remote participation option, but this is so far not decided.

More information will be provided soon. We will provide information about potential stipends at a later point of time.

Registration deadline is on June 30th!

The event is supported by the International Association for Cryptologic Research, the Danish Data Science Academy, the Pioneer Centre for Artificial Intelligence as well as the Digital Research Centre Denmark (DIREC).