At the heart of our work is a fundamental interest in exploring the human experience, mapping people’s behavior, interactions and opinions. And we specialize in studying this both offline and online with the latest digital and computational methods. But we believe such data science tools don't hold the answer to eveyrthing. That's why we combine data science with anthropological methods and bridge 'thick data' with 'big data'. To add qualitative dimension and human context to every data project we do.
Machine learning. Data Mining. Artificial Intelligence. The list of techniques in our toolbox is long. We are obsessed with them because we are nerds, but more critically because they allow us to rethink the way we do anthropology: To ask new questions about the world and to reach more nuanced insights, where traditional qualitative/quantitative methods fall short. So we use data science to expand our imagination about data analysis and to renew the way we tell stories with data.
In Backscatter we are passionate about rethinking user involvement, co-creation and public engagement through the lens of data science. Using digital methods we push the scope and scale of inclusion processes to ensure that we can listen to a greater number of voices when faced with difficult decisions. We help organisations collect, analyse and make visible the voices of the citizens, users, employees or stakeholders that they may want to include in a strategic process and use computer science to reveal patterns in complex landscapes of inputs and opinions, without reducing them to simplified mean scores. This enables leaders to activate collective knowledge, and make decision making more democratic and transparent.
We help organisations expand their data imagination and strengthen their ability to envision and carry out data projects themselves. We teach employees and leaders what questions can be asked with data and what resources are needed in a data project. We do this through co-creation - by working closely together with the organisation to design and carry out an actual data project, taking them through every step of the way. During this participatory project, you will have worked in practice with a data project that has direct relevance for your he organisation. This offers both new insights and hands-on experience while it equips you with the tools and mindset necessary to carry out data projects in the future.
We are surrounded by huge amounts of digital traces that are left behind digitally as a result of how people act, talk, buy, interact and move around in the world both offline and online. These might invlude i.e. emails, meeting records, images on Instagram, GPS-data in smartphones, or the skills people list on LinkedIn. In Backscatter, we expand our data imagination to see potentials in the most unconventional sources of data, and leverage these to generate new knowledge about people, organisations and society. With a combination of data science and anthropology we map the things others don't know how to measure to make new things visible and create cutting-edge insights that can be used strategically by organisations in relation to a specific challenge.
Vi hjælper organisationer udvide deres data fantasi, så flere bliver i stand til at til at tænke kreativt om organisatoriske problemstillinger igennem data. Så data bliver sjovere og mere sexet at arbejde med. Vi udvider forståelsen af, hvad der kan udgøre brugbare data og hjælper organisationer forstå, hvordan data kan anvendes på nye og eksperimenterende måder og være med til at fremme innovation, inddragelse og strategiudvikling i din organisation.
Vi ønsker at gøre det nemmer for organisationer at skelne hype fra de virkelige potentialer i dataarbejde. Det er fx vigtigt at afmystificere ideen om at big data kan løse alle problemer. Derfor er data realisme lige så vigtig for os i vores projekter som data fantasien. Fordi det er vigtigt både at kende muligheder og begrænsning ved anvendelsen af data - heriblandt hvornår dataprojekter kan være med til at rykke ved en problemstilling, og hvad det kræver af ressourcer.
#PublicInvolvement #DigitalDatascape # NetworkAnalysis #Collective Knowledge
Dragør's future coastal protection is designed through an architectural competition. The municipality wants to include citizens in the process to ensure a solution that is thoroughly rooted in the wishes and needs of the local population and which has their support.
In this innovative project, we work to bridge the gap between competing advisory teams and the citizens of the municipality. Citizens' attitudes and thoughts about the future coastal protection are digitally documented through mobilizing activities and made available through an online database. Citizens Ambassadors represent the inputs in a series of workshops where the advisory teams are present and the competition proposals are developed. A key criterion in the assessment process is the ability of teams to implement citizens' thoughts and ideas.
The project is rethinking how public voices can be implemented in planning processes. The digital database makes it possible to sort the collected inputs by theme and what coastline they refer to, and it contains graphical representations of the inputs’ thematic content. This allows the ambassadors to represent the citizens' voices in the competition, which in turn makes it possible to ensure that the final solution is built on the needs of the citizens.
#SoMe #BIG DATA # TEXTANALYSIS #IBM #CLIMATE #IMAGEANALYSIS
IBM's Summit Think Copenhagen addressed the role of technology in a sustainable future. In this context, IBM wanted to gain insight into the role of technology in today's climate debate and at the same time show how IBM Watson can be used to explore the role of technology in the climate debate online.
180,000 texts in Danish about climate from 2019 were harvested from social media, news media and blogs, and then analyzed using digital language analysis. We located technological narratives in the debate, what topics technology co occurred with - and where in the debate technology was absent. A similar analysis was done by running all of the dataset's Instagram images through Watson's Image Recognition (Visual Recognition).
The analysis showed, among other things, that technological solutions are virtually absent in the public debate online when activism, politics and private consumption are discussed. It points to a lack of focus among the wider public on technological innovations as possible solutions to the climate problem. The results were presented during the opening session at Think Copenhagen for 1200 clients, partners, developers, academics, analysts, influencers and journalists. Furthermore, the results were presented at a booth during the conference.
#LinkedIn #Big Data # Thick Data #Data-driven innovation #Qualitative analysis
Together with partners such as the Ministry of Culture and Ministry of Foreign Affairs, NordicLA wanted to explore the Danish creative industry to understand what potentials and challenges creative companies experience in terms of exporting to international markets.
By combining data scientific and anthropological methods, Backscatter collected qualitative inputs from 200 leaders in danish creative companies, questioning them about their experiences, motivations and challenges with internationalizing. Simultanouesly, we collected data from LinkedIn; harvesting the skills listed on the profiles of the approx. 10.0000 leaders of creative companies in DK listed on the platform. Based on this we map the business skills are typical and not typical among leaders in the creative industry in order to shed light on what qualifications creative leaders are lacking, which would help them in their internationalization efforts.
The results of the analysis will be presented in a report about the creative industry, co-authored by NordicLA, BCW communication agency and Backscatter. The report will be shared with the project’s partners and will be used by NordicLA to engage investors in funding a new incubator that will help more Danish creatives internationalize.
#Social Media #Digital Mapping #Image Recognition #Text analysis
Plastic Change works to minimize plastic in the world, engaging people and organisations in reducing consumption, reusing more, and cleaning plastic in nature. In that regard the NGO is looking to innovate how they communicate complex information about the plastic agenda in new and more engaging ways. Meanwhile, PC is curious to learn about the public’s awareness and knowledge on the issue, to enable more efficient campaigns in the future.
To explore the public’s perception of the issue, Backscatter harvests data from selected social media platforms, looking at approx. 5000 posts that use hashtags such as #cleantheocean, #singleusesucks, #reduceplastic and the like. Using machine learning like image recognition and natural language processing, we look for patterns and trends in the data to reveal what discourses are dominant in the public’s understanding of what matters in the plastic agenda.
Results are presented to Plastic Change and will be used to engage investors in building an interactive, online data platforms that leverages advanced data visualization to make complex information about the plastic agenda visual and accessible to the public in new ways.
#Public Engagement #Network analysis #Strategy development #Vision
Horsens municipality was faced with the challenge of how to define and direct the future development of the elementary school. In this context, Backscatter was asked to collect and map the many wishes, needs and ideas of students and adults with connection to one of the elementary schools in Horsens. Thereby, activating collective knowledge and experience around the elementary school, while equipping decision-makers to create democratic strategies for the future of the school.
In collaboration with the municipality of Horsens, Backscatter carried out a data proces, inviting students and adults connected to one of the elementary schools in Horsens to give their input on how the school should develop in the future. This, based on the idea that the school should be shaped by the people that knows its current qualities and holds concrete suggestions to how it can be improved. Through digital mapping and manual qualifications, the thousands of inputs from students and adults were visualised in ways that created overview of the debate while making visible the individual inputs. Subsequent, the analysis was integrated into a interactive database, allowing both decision-makers and citizens to explore and navigate the complex debate.
Through digital mapping of more than 7000 inputs from students and adults with connection to one of the elementary schools in Horsens, thousands of visions and suggestions to the future of the school was concretized and visualised. At the same time, Backscatter helped the municipality turn these insights into tools in their strategic work on developing its elementary schools. This way, decision-makers and stakeholders were equipped for the strategic work on shaping the future of the elementary school based on the the visions and needs of the people attached to it.
#Text recognition • #Evaluation • #Geo-mapping • #Qualitative data • #Semantic text analysis
The Bikuben Foundation received 94 open applications that outlined problems and initiatives within their focus area ‘vulnerable young people without job or education’. The Foundation seeked to gain a better understanding and overview of the applications’ content and form; herein which actors that worked together to solve which problems, as well as an evaluation of the application process.
Backscatter completed a detailed analysis of the cooperative relations, problems and new initiatives outlined in the different applications. With a combination of network analysis, automatic text recognition, qualitative reading and geo-based visualisations, we managed to create an overview of the complex text material and identify semantic patterns across the applications. This provided us with new insights into the central problems for vulnerable young people in Denmark, and how these problems were related.
The analysis contributed to new insights of the applications’ content, as well as an evaluation of the application process - including recommendations on how the procedure can be optimized in the future.
#Collective knowledge • #Live analysis • #Data-driven decisions • #Workshop
The City Council of Viborg presented a new management model for the municipality at the annual leadership day. On this day, they wanted to involve the 330 municipal leaders in the upcoming implementation to collect their reactions concerning the management model, and to have an immediate discussion about their reactions.
By combining automated text processing, manual analysis and algorithm-based network, Backscatter mapped all ‘live’ inputs from the gathering and emphasized the essential patterns and themes throughout the debate, without reducing the complexity or losing the individual statements.
Within two intense hours, we were able to collect and illustrate the leaders reactions, herein which themes that were commonly emphasized by the leaders (in general) and which themes that were often mentioned together. The live analysis provided the management with valuable insights on the most significant concerns and opportunities shared by the 330+ leaders who attended the event, which led to a ‘live’ discussion and later used proactively during the development and implementation of the new management model.
#Collective knowledge • #Citizen participation • #Co-creation • #Data-driven workshop
The Arendal Municipality in Norway are actively working on increasing the co-creation between them and the citizens. At the same time, the municipality has decided to implement the UN’s world goals in their new society plan. Which leaves the municipality with the question: “How can we involve as many citizens as possible in co-creating concrete initiatives for the implementation of the world goals?”
Backscatter are digitally mapping the citizens opinions regarding UN’s world goals throughout the ‘digital social people meeting’.
By using digital methods, we were able to collect and listen to inputs from many citizens at once. The digital and social mapping resulted in an open workshop where the citizens, the Municipality and other interests together co-created concrete pilot projects based on the initiatives presented by the citizens.
#Citizen participation • #Network analysis • #Strategy development • #Vision
In relation to the comprehensive vision and strategy development for the future of Aalborg, the Municipality were faced with the question: What is the ground narrative about Aalborg city and municipality? Who are we? What do we want? Where should we go?
We worked together with the municipality to construct a new vision for the future of Aalborg, based on the citizens opinions and inputs. To engage as many citizens as possible in the debate, we combined the use of various digital platforms, such as Facebook and Instagram, with more traditional participation methods such as citizen meetings, interviews and meetings in councils and boards. Herein we gave the citizens the opportunity to express and submit their opinions in free text.
The effort resulted in 5441 text based statements from the citizens of Aalborg Municipality. We gathered all the citizens statements into a visual overview-map and integrated it into a searchable database, where the citizens, politicians and interests could get an overview of the opinions and simultaneously navigate in the specific statements related to the themes. The database formed the basis of a vision-description which was accepted by an agreeable city council. The process resulted in a new narrative of the municipality, a promise for the future and five strategic pointers.
#Network analysis • #User segmentation • #Facebook data • #Post-demographic data
In relation to the recruitment of new advertisers, Altinget asked for a market analysis of their commercial cooperation opportunities based on data from Facebook. The objective of the analysis was to elucidate Altingets position in a landscape of possible collaborators from selected industries. The landscape was based on their connection of user segments on Facebook or the lack of same. Our analysis contributed to a definition of, and contact to, possible collaborators.
Backscatter collected data from Facebook of Altinget and several organisations from selected industries. From this dataset, we produced multiple maps of the user activity across Altinget and the organisations Facebook pages, in order to investigate which organisations that Altinget shared many or few common users with. Furthermore, we investigated what kind of information in the Facebook posts that engaged most of the users across the user communities.
Altinget was presented with new insights on possible collaborators, and knowledge about their digital users behaviour.
#Facebook data • #Digital mapping • #User communities • #Post-demographic analysis
Wonderful Copenhagen wished to cover the intersection of online user communities among tourism organisations in the Greater Copenhagen region. At the same time, they wanted to know if it could be used to illuminate which activities that creates flows of tourists across Sundet (strait that separates Zealand in Denmark from Scania in Sweden).
Backscatter harvested 5.536 posts from 23 Facebook pages of different tourism organisations in and around the Greater Copenhagen region (the organisations were selected by Wonderful Copenhagen). With the use of network analysis and automated text recognition, we identified how the organisations Facebook posts engaged different or the same user communities on Facebook.
The analysis helped Wonderful Copenhagen to identify which tourism organisations that shared many or few common users, and what kind of content that engaged the users across the organisations. The project contributed to new insights and revealed e.g. which posts that created most user overlap between Malmø and Copenhagen (within city experience and architecture). Wonderful Copenhagen used this knowledge to evaluate how they should engage and attract tourists online.
#Data fantasy • #Data realism • #Organisation development • #Data literacy • #Data-driven innovation
KFF approached Backscatter with a desire to expand the organization's overall competencies in using data to support local development projects. The challenge for KFF was to ensure that it was not only managers or selected “Excel sharks” who would hold the skills, but that a general “data-reading ability” was developed amongst all of the employees. This, in a hope to become able to design, devise and analyse data-driven projects in the future.
In cooperation with KFF, Backscatter prepared a tailor-made course that suited the organization's goals and size. KFF is a large organization with several units and with a lot of data in circulation. The course therefore stretched over half a year, involving both employees and managers from the organization's various units.
A tailored management course that increased the collective understanding and imagination of using data amongst employees in KFF, by developing and strengthen both managers and employees' data competencies.
#Collection • #Collective knowledge • #City development • #Semantic network analysis
In the city of Randers, a new district must be developed as the industry is moving away form the harbor. At the same time, the city must be secured against future storm surges. The municipality of Randers therefore wanted to involve its citizens in a process where solutions were anchored in their visions and ideas for the future of Randers.
Through an open creative process via Facebook, competitions, container exhibition in the city and meetings, inputs from the citizens were collected in order to answer the question of how Randers should develop. With the help of semantic network analyzes, we derived the central themes and visions for the "City of the Future for the Water".
Through a digital mapping of the citizens inputs, we made it possible for thousands of voices to be heard, while the users of Randers city was able to shape the urban development themselves. Thus, the project created a foundation that was crucial for further decision making in the municipality management.
#User participation • #Digital datascape • #Network analysis • #Collective knowledge
In relation to the future planning of coastal protection in Dragør, the Municipality took the initiative to rethink citizen involvement in order to enlarge the number of participants.
By combining public meetings with experimental participation methods, we made it possible for the citizens to express their opinions online (e.g. on Facebook). In overall, we collected 667 written statements from the citizens in Dragør, which we mapped and integrated into a digital database. The database highlighted the different issues in the debate, while a network map of the issues made it possible for us to illuminate the central issues and which issues that were closely related to each other.
The project made it possible to include and identify patterns of a large number of inputs from citizens - without loosing the overview or reducing all inputs into an average. The database allowed the citizens, politicians and interests to access all the statements, and find their own statements in the debate, which created a certain level of transparency. The process resulted in a strengthened user involvement and foundation for data-driven decision making in the municipality.
#Facebook data • #Data sprint • #Business intelligence • #User segmentation • #Post-demographic analysis
In the process of finding sponsors, The Royal Theatre wished to explore and evaluate potential sponsors. This, to create new insights into its users’ interests and to identify potential unconventional sponsorship agreements, the theater wanted to know, what other brands its own Facebook-followers also engaged in.
Backscatter harvested data from The Royal Theatres Facebook page as well as the Facebook pages of more than 100 other organisations, that could be interested in a collaboration with the theater. Here, Backscatter, TANTLab and The Royal Theater collaborated on a data sprint, identifying various overlap between the Facebook page of The Royal Theater and the remaining Facebook communities. This was used to explore which brands and organisations The Royal Theaters users were interacting with and how.
The analysis resulted in a serie of data visualisations, showing which organisations and brands The Royal Theater shared its users with. The project created new methods for evaluation of the the theaters users by identifying communities of interest instead of just “reach” and “likes”. This promoted the communication between The Royal Theatre and a number of other actors, and was used in the inquiry for new potential sponsors.
#Facebook data • #Data literacy • #Data fantasi • #Data realisme • #Web scraping • #Ecosystem mapping
Odense Makers was hosting an event that brought together different organisations and entrepreneurs from the city of Odense. In this regard they had a two-fold wish: to develop ´data literacy´and the ability to create data projects within the cultural industry and further, a concrete analysis of the cultural landscape of Odense.
Backscatter designed a customized project, involving carrying out a real data project in collaboration with Odense Makers. Because we believe that the best way to educate ´data literacy´is by working in practice with a data project in which one can see direct relevance. Therefore, Backscatter held a participatory data workshop lasting several days. Here, Odense Makers took part in a data sprint, mapping the cultural actors in Odense while investigating their user overlap on Facebook.
The project resulted in concrete and new insights into the ecosystem of cultural actors in Odense, while developing Odense Makers ability to launch creative, realistic data projects in the future.
#LinkedIn data • #Competencies mapping • #Strategic counseling • #Social media analysis
In connection with the annual meeting for the association of financial managers, we were asked to conduct an analysis of the skills that characterise the current and future financial managers. More specifically, an analysis of the profiles that get recruited as financial managers in the Danish municipalities, and what is prioritized during the recruitment.
Backscatter collected data from LinkedIn over Danish financial managers, directors and CFO’s, including the skills listed on their LinkedIn profiles. We used the data to map which skills the different types of financial managers hold. Through a digital network analysis, we managed to identify four different archetypical management profiles; the political financial manager, the economical financial manager, the economist and the business developer.
Mapping the LinkedIn profiles revealed which skills that characterise the financial managers in the future. These inputs were extremely valuable for the association of financial managers, in relation to their strategic work with recruitment and investment.
#Facebook data • #Digital behaviour • #Online user communities • #Post-demographic analysis
Royal Unibrew faced a strategic process in which to evaluate their commercial partnerships and identify new opportunities for meaningful sponsorships. They contacted Backscatter with a desire to use Facebook data to understand their users - and their interests - in new ways.
Backscatter used a combination of computer science and anthropology to collect and map data on the digital behavior of Royal Unibrew’s Facebook-followers. Here, a specific interest was on how users interacted with existing sponsors online. Based on this interested, it was mapped, which sponsors shared users to a greater extent, and which sponsors stood alone with a more unique user community. Further, the analysis showed what content and type of communication works most effectively to engage different users and communities.
The project contributed to a fundamental rethinking of the way Royal Unibrew was understanding and segmenting their users. Instead of traditional segmentation of users based on age, gender and other demographic factors, our analysis offered an opportunity for a “post-demographic segmentation” of users based on their digital behavior, preferences and interests.
Backscatter is a data driven startup based in Copenhagen. Our team is composed of different profiles that hold unique experience and skills across the fields of anthropology, sociology, data science, future studies, archeology, philosophy and organisational development. This enables us to create new insights and help organisations upfold strategic problems in new ways through data projects that are tailored to their current situation.
Thøger er sociolog og ekspert i ledelses- og organisationsudvikling. Han har over 20 års erfaring med at hjælpe mennesker og organisationer tage skriftet fra vision til realisering i daglig praksis. Han har et skarpt blik for koblingen mellem organisatorisk virkelighed og brug af data på innovative måder, der understøtter udvikling i en organisation. Han er kendt for sine kreative og jordnære egenskaber, samt hans evne til at facilitere forsamlinger i alle størrelser. Thøger er desuden iværksætter og medstifter af en række start-ups på tværs af konsulent og kulturområdet.
Thøger er vores mand i marken. Han tvinger os til at ’tale jysk’ og gøre datavidenskabelig tilgængeligt og forståeligt for alle. Han står ofte for workshops og bruger sit store netværk og sine menneskelige egenskaber til at skabe en jordnær forbindelse til vores partnere og klienter.
Jakob har en kandidat i Organisational Innovation and Entrepreneurship, og har særlig stor interesse for organisatorisk udvikling, kollektive vidensprocesser og iværksætteri. Han er desuden medforfatter til bogen Lean Business Planning, og har trænet konsulenter og undervisere i agil forretnings- og projektudvikling. Han har en særlig forkærlighed for de kreative industrier og mange års erfaring med at brug digitale værktøjer og data til at understøtte værdiskabelse i danske og internationale kulturorganisationer.
I Backscatter er han ansvarlig for den daglige operation af virksomheden, ligesom han som partner er en af de stærke kræfter bag Backscatter visionsarbejde og strategiudvikling. Han er en menneskekender, og bruger sin sjette sans til altid at sætte et stærkt hold på alle vores projekter.
Ronja er uddannet inden for arkæologi, sociologi og teknoantropologi. Hun har de seneste år arbejdet en del med digitale tekstanalyser og større borgerinddragelsesprojekter i kommunalt regi. Hun er særligt interesseret i hvordan samspillet mellem det digitale og sociale kan understøtte bredtfavnende demokratiske processer, der styrker borgernes stemmer i offentlig planlægning. Dette med en fascination og en skarp evne til at navigere i de mønstre der opstår på tværs af store mængder af data.
I Backscatter arbejder Ronja som projektleder og er stærk i alle projekteringens faser; fra design og planlægning af et dataprojekt, over udførsel og dataanalyse, videre til præsentation. Hun har desuden udviklet en profil i ’circling’ og er en stærk rådgiver i non-hierarkisk ledelse.
Wafa er teknoantropolog og har arbejdet med en bred vifte af digitale og samfundsvidenskabelige metoder, hvilket gør hende ekspert i at koble thick data til big data. Hun har fx arbejdet indgående med observationer, interviews, surveys, workshops, brugerrejser, netværksanalyser, semantiske analyser og datavisualisering. Wafa er en velbevandret analytiker og formidler, med et skarpt øje for detaljer. Hun er særligt interesseret i hvordan en kreativ kombination af antropologiske og digitale metoder kan kaste nyt lys over komplekse udfordringer.
I Backscatter bruger Wafa sit velassorterede metodiske repertoire som projektleder til at designe dataprojekter, levere skarpe analyser og til at visualisere komplekse data på en måde, der skaber værdi og en klar fortælling for vores klienter og hjælper dem se en problemstilling i nyt lys.
Sofie er kandidat i sociologi med profil inden for data science, urbansociologi, og design tænkning. Hun er drevet af en nysgerrighed for at bruge store, digitale data til at udforske samspillet mellem mennesker, teknologi og kultur, og bruger sine kreative evner til at visualisere og fortælle historier med data om menneskers liv i byer. Hun er en trænet oplægsholder med flere års erfaring som underviser på universitet og som konsulent inden for arkitektur og fremtidsforskning. Derudover er hun en trænet skribent som fast del af redaktionen på SCENARIO.
Hos Backscatter bruger Sofie sine kombinerede evner for datavidenskab, sociologi og design tænkning til at gentænke den måde, vi griber projekter og opgaver an på, ligesom at hun er ansvarlig for at give retning til virksomhedens kommunikation, identitet og kreative strategi.
Bertil studerer MSc i social antropologi ved Lunds Universitet og har en bachelor i teknoantropologi fra København. Han er velbevandret i programmeringssprog og har arbejdet en del med semantiske- og netværksanalyser, big data og machine learning mv. Bertil er særligt interesseret i krydsfeltet mellem mennesket, miljø og det digitale liv, samt potentialerne ved at koble digitale metoder og etnografi. Han er desuden optaget af ’the politics of quantification’ og har et kritisk blik for den rolle kontekst spiller i datavidenskab og store big data analyser.
Hos Backscatter er Bertil ansvarlig for innovation af vores digitale værktøjer. Han sørger for, at vi altid er på forkant med de nyeste tools og presser os til at eksperimentere med deres brug. Og så har han styr på, at vi er to skridt foran GDPR når det kommer til god, sikker databehandling.
Amalia er sociolog med fokus på kultur, medier og urbansociologi. Med erfaring fra både reklame- og mediebranchen, og speciale i subkulturstudier, har hun særligt erfaring med hvordan mennesker bruger, forstår samt skaber mening og fællesskaber gennem kultur og medier. Dette kombinerer hun med dyb interesse for, hvordan man kan sammensætte traditionalle undersøgelsesmetoder med fremspirende digitale værktøjer for at skabe ny viden om mennesker og kultur og hjælper organisationer tænker kreativt og innovativt om fremtiden.
Hos Backscatter trækker Amalia på sin kreativitet og metodeerfaring til at skabe nytænkning i den måde vi arbejder med projekter på, samt til at tænke ud af boksen omkring, hvordan vi visualiserer og fortæller historier med data.
Jeppe læser en kandidat i teknoantropologi, men har en baggrund i europæisk etnologi, formidling, samt russisk historie og kultur. Hans humanistiske baggrund er med til at informere hans interesse i at skabe et samspil mellem digital empiri og klassiske antropologiske metoder. Jeppes baggrund spænder fra udstillingsproduktion på museer til kvalitativ analyse og han arbejder ud fra ideen om at man skal forstå hvad folk laver, for at forstå hvad de mener.
I Backscatter arbejder Jeppe som analytiker og bruger sin indgående erfaring med antropologi og datavidesnkab til at sikre, at vores dataprojekter udføres med lige så stor nysgerrighed for de analytiske værktøjer vi bruger, som for de mennekser vi ønsker at studere med dem.
Ann-Sofie holds a background in business economy and psychology, is currently enrolled as Master student in Techno-Anthropology, and combines a broad range of professional skills. She has years of experience working with data-driven decision making and data visualization, and she is a highly trained in using and combining digital tools and methods in innovative ways, using that to explore the interaction between people and technology in society.
As an analyst in Backscatter, Ann-Sofie brings intricate knowledge about data processes and analytical tools to the team. Her sense of data imagination always adds something special to our projects, where her insight into the latest digital tools fosters analytical creativity.
Rasmus studerer MSc i teknoantropologi i København, og er uddannet ingeniør i Aarhus. Han har mere end 5 års erfaring fra bygge- og anlægsbranchen med projektering og styring som hovedopgaver. Han har interesse i at kombinere tekniske opgaver med inddragelse af offentligheden. I arbejdet med disse opgaver er elementer som logisk tankegang og nysgerrighed på mangfoldighed grundlaget for at få succes, når opgaver defineres og løbende tilpasses.
Hos Backscatter bidrager Rasmus med sin erfaring fra komplekse infrastrukturprojekter i ind- og udland. Han har et pragmatisk blik på opgaverne, som sikrer at stærke analytiske kompetencer forenes med klienters bekymringer og behov i målrettet rådgivning af højeste kvalitet.
Lasse studerer BSc i teknoantropologi på Aalborg Universitet København. Han er interesseret i studiet af internet- og onlinekulturer, og bruger sit studiearbejde hos Backscatter til at blive mere bekendt med brugen af digitale metoder. Igennem studiet har han yderligere erfaring med kvalitative analyser, og klassisk feltarbejde, hvilket giver ham en god forståelse for, hvordan vi hos Backscatter kombinerer antropologi og datavidenskab.
I Backscatter understøtter Lasse resten af holdet i deres analytiske arbejde, ved at give en hånd når der skal findes hoved og hale i store datamængder.
We are proud to have been founded by partners from the consultancy , the organisation Volcano and the research unit TANTLab at Aalborg University. This means that we are surrounded by creative brains from both research, consultancy and creative industries with which we collaborate and share knowledge.
Wanna wrestle? Are you a curious company or organization that wants to discuss a possible project or hear, how we can help with a current challenge? Let's connect and have an open talk about it.
We love to collaborate. Are you a skilled student or experienced data practitioner who wants to borrow our data, test an experiment or develop a new method with us? Let’s dance.
We are always looking for skilled people. Are you passionate about ethnography and data science, or really good at communication, design, consultancy or something else? Show us what you got.
We love data, but we love talking to people even more. Send us a question and you will hear from us soon.